Note
Go to the end to download the full example code.
Combine many specifications: assisted specification algorithm¶
We combine many specifications, defined in everything_spec.py.
This leads to a total of 432 specifications.
The algorithm implemented in the AssistedSpecification object is used to
investigate some of these specifications.
See Bierlaire and Ortelli (2023).
Michel Bierlaire, EPFL Sun Apr 27 2025, 15:59:08
import biogeme.biogeme_logging as blog
from IPython.core.display_functions import display
from biogeme.assisted import AssistedSpecification
from biogeme.biogeme import BIOGEME
from biogeme.multiobjectives import loglikelihood_dimension
from biogeme.results_processing import EstimationResults, compile_estimation_results
from everything_spec import database, model_catalog
logger = blog.get_screen_logger(level=blog.INFO)
logger.info('Example b07everything_assisted')
PARETO_FILE_NAME = 'b07everything_assisted.pareto'
Example b07everything_assisted
Function verifying that the estimation results are valid.
def validity(results: EstimationResults) -> tuple[bool, str | None]:
"""Function verifying that the estimation results are valid.
The results are not valid if any of the time or cost coefficient is non-negative.
"""
for parameter_index, parameter_name in enumerate(results.beta_names):
parameter_value = results.beta_values[parameter_index]
if 'TIME' in parameter_name and parameter_value >= 0:
return False, f'{parameter_name} = {parameter_value}'
if 'COST' in parameter_name and parameter_value >= 0:
return False, f'{parameter_name} = {parameter_value}'
return True, None
Create the Biogeme object
the_biogeme = BIOGEME(database, model_catalog, generate_html=False, generate_yaml=False)
the_biogeme.model_name = 'b07everything'
Biogeme parameters read from biogeme.toml.
Estimate the parameters using assisted specification algorithm.
assisted_specification = AssistedSpecification(
biogeme_object=the_biogeme,
multi_objectives=loglikelihood_dimension,
pareto_file_name=PARETO_FILE_NAME,
validity=validity,
)
non_dominated_models = assisted_specification.run()
Unable to read file b07everything_assisted.pareto. Pareto set empty.
Biogeme parameters read from biogeme.toml.
Model with 4 unknown parameters [max: 50]
*** Estimate b07everything_000000
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time b_cost asc_car Function Relgrad Radius Rho
0 -0.76 -0.77 -0.7 -0.29 8.8e+03 0.04 10 1.1 ++
1 -0.66 -1.2 -0.77 -0.0015 8.7e+03 0.0064 1e+02 1.1 ++
2 -0.65 -1.3 -0.79 0.016 8.7e+03 0.00012 1e+03 1 ++
3 -0.65 -1.3 -0.79 0.016 8.7e+03 4e-08 1e+03 1 ++
default_specification=asc:no_seg;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear
The number of possible specifications [432] exceeds the maximum number [100]. A heuristic algorithm is applied.
*** VNS ***
asc:no_seg;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8670.163118523758, 4]
Initial pareto: 1
Attempt 0/100
Biogeme parameters read from biogeme.toml.
Model with 5 unknown parameters [max: 50]
*** Estimate b07everything_000001
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com b_cost asc_car Function Relgrad Radius Rho
0 -0.71 -0.89 0.37 -0.71 -0.25 8.8e+03 0.036 10 1.1 ++
1 -0.67 -1.2 0.089 -0.78 -0.0076 8.7e+03 0.0064 1e+02 1.1 ++
2 -0.65 -1.3 -0.052 -0.79 0.017 8.7e+03 0.0002 1e+03 1 ++
3 -0.65 -1.3 -0.052 -0.79 0.017 8.7e+03 3.8e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8669.931926749796, 5]
Attempt 1/100
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000002
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost asc_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -0.13 -
1 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 5 1.1 ++
2 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 2.5 -4.7 -
3 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 1.2 -4.3 -
4 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.62 -3.9 -
5 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.31 -3.6 -
6 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.16 -3.5 -
7 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.078 -3.7 -
8 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.039 -4.1 -
9 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.02 -4.3 -
10 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.0098 -3.1 -
11 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.0049 -2.4 -
12 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.0024 -2 -
13 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.0012 -1.5 -
14 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.00061 -0.88 -
15 -0.5 -0.5 -0.5 0 0 -0.41 0.082 9.2e+03 9.7 0.00031 -0.077 -
16 -0.5 -0.5 -0.5 0.00031 -0.00031 -0.41 0.081 9.1e+03 6.1 0.00031 0.69 +
17 -0.5 -0.5 -0.5 0.00031 -0.00031 -0.41 0.081 9.1e+03 6.1 0.00015 -1.3 -
18 -0.5 -0.5 -0.5 0.00031 -0.00031 -0.41 0.081 9.1e+03 6.1 7.6e-05 -0.76 -
19 -0.5 -0.5 -0.5 0.00038 -0.00023 -0.41 0.081 9.1e+03 5.6 7.6e-05 0.4 +
20 -0.5 -0.5 -0.5 0.00046 -0.00026 -0.41 0.081 9.1e+03 1.3 7.6e-05 0.84 +
21 -0.5 -0.5 -0.5 0.00053 -0.00025 -0.41 0.081 9.1e+03 0.14 0.00076 0.99 ++
22 -0.5 -0.5 -0.5 0.0013 -0.00026 -0.41 0.081 9.1e+03 0.35 0.0076 1 ++
23 -0.5 -0.51 -0.5 0.0089 -0.00029 -0.41 0.079 9.1e+03 0.14 0.076 1 ++
24 -0.54 -0.57 -0.51 0.085 -0.0006 -0.42 0.062 8.9e+03 0.52 0.76 0.98 ++
25 -0.61 -0.88 0.26 0.23 -0.0012 -0.76 0.032 8.7e+03 1.2 0.76 0.71 +
26 -0.61 -0.88 0.26 0.23 -0.0012 -0.76 0.032 8.7e+03 1.2 0.38 -11 -
27 -0.61 -0.88 0.26 0.23 -0.0012 -0.76 0.032 8.7e+03 1.2 0.19 -0.65 -
28 -0.72 -0.97 0.17 0.041 -0.00043 -0.76 -0.028 8.7e+03 0.76 0.19 0.73 +
29 -0.78 -1.2 0.072 -0.0091 -0.00021 -0.77 -0.058 8.6e+03 1.4 1.9 1.1 ++
30 -0.78 -1.2 0.072 -0.0091 -0.00021 -0.77 -0.058 8.6e+03 1.4 0.72 -29 -
31 -0.78 -1.2 0.072 -0.0091 -0.00021 -0.77 -0.058 8.6e+03 1.4 0.36 -2.4 -
32 -0.7 -1.5 -0.12 -0.083 8.5e-05 -0.79 -0.018 8.6e+03 6 3.6 0.93 ++
33 -0.44 -2 -0.49 -0.099 0.00018 -0.8 0.16 8.6e+03 11 36 1.1 ++
34 -0.43 -2.1 -0.85 -0.1 0.00016 -0.82 0.16 8.6e+03 17 36 0.85 +
35 -0.43 -2.1 -0.87 -0.1 0.00017 -0.79 0.17 8.6e+03 0.2 3.6e+02 0.98 ++
36 -0.44 -2.1 -0.89 -0.1 0.00017 -0.8 0.16 8.6e+03 0.0024 3.6e+03 1 ++
37 -0.43 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 8.6e+03 0.00025 3.6e+04 1 ++
38 -0.43 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 8.6e+03 0.31 3.6e+05 1 ++
39 -0.43 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 8.6e+03 0.0016 3.6e+06 1 ++
40 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 8.6e+03 1e-05 3.6e+07 1 ++
41 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 8.6e+03 0.0032 3.6e+08 1 ++
42 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 8.6e+03 2.8e-06 3.6e+08 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:power [8558.190760428923, 7]
Attempt 2/100
Biogeme parameters read from biogeme.toml.
Model with 6 unknown parameters [max: 50]
*** Estimate b07everything_000003
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st lambda_travel_t b_cost asc_car Function Relgrad Radius Rho
0 -0.68 -0.91 -0.55 2 -0.85 -0.3 9.3e+03 0.12 1 0.53 +
1 -1.3 0.092 -0.58 2.1 -0.64 -0.21 9e+03 0.18 1 0.42 +
2 -1.3 0.092 -0.58 2.1 -0.64 -0.21 9e+03 0.18 0.5 -1.8 -
3 -1.3 0.092 -0.58 2.1 -0.64 -0.21 9e+03 0.18 0.25 -0.032 -
4 -1.4 -0.16 -0.79 1.8 -0.83 -0.4 8.8e+03 0.025 2.5 1.2 ++
5 -1.4 -0.16 -0.79 1.8 -0.83 -0.4 8.8e+03 0.025 1.2 -1.2 -
6 -0.33 -1.1 -0.67 0.57 -0.9 0.043 8.6e+03 0.041 1.2 0.49 +
7 -0.51 -1.2 -0.69 0.59 -0.86 0.11 8.6e+03 0.0039 12 1.1 ++
8 -0.53 -1.2 -0.71 0.56 -0.86 0.13 8.6e+03 4.6e-05 1.2e+02 1 ++
9 -0.53 -1.2 -0.71 0.56 -0.86 0.13 8.6e+03 2.1e-08 1.2e+02 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:boxcox [8564.505357438984, 6]
Attempt 3/100
Biogeme parameters read from biogeme.toml.
Model with 5 unknown parameters [max: 50]
*** Estimate b07everything_000004
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time b_cost asc_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.2 -
1 -0.5 -0.5 -0.5 0.5 2.3 9.4e+03 0.23 0.5 0.28 +
2 0 -1 -0.49 5.6e-17 1.8 8.8e+03 0.11 0.5 0.41 +
3 -0.5 -1.4 -0.58 0.13 1.8 8.7e+03 0.069 0.5 0.16 +
4 -0.5 -1.4 -0.58 0.13 1.8 8.7e+03 0.069 0.25 -0.51 -
5 -0.35 -1.1 -0.76 0.13 1.7 8.5e+03 0.019 0.25 0.79 +
6 -0.35 -1.1 -0.76 0.13 1.7 8.5e+03 0.019 0.12 -2.7 -
7 -0.35 -1.1 -0.76 0.13 1.7 8.5e+03 0.019 0.062 -0.58 -
8 -0.29 -1.2 -0.7 0.065 1.8 8.5e+03 0.0088 0.062 0.28 +
9 -0.35 -1.1 -0.67 0.096 1.8 8.5e+03 0.012 0.062 0.54 +
10 -0.33 -1.1 -0.66 0.044 1.8 8.5e+03 0.0098 0.062 0.47 +
11 -0.39 -1 -0.65 0.019 1.9 8.5e+03 0.0053 0.062 0.61 +
12 -0.39 -1 -0.65 0.019 1.9 8.5e+03 0.0053 0.031 0.052 -
13 -0.37 -1 -0.66 0.02 1.9 8.5e+03 0.0031 0.031 0.62 +
14 -0.39 -1 -0.66 0.027 1.9 8.5e+03 0.005 0.031 0.4 +
15 -0.38 -1 -0.64 -0.0046 1.9 8.5e+03 0.0046 0.031 0.31 +
16 -0.37 -0.98 -0.65 0.013 1.9 8.5e+03 0.003 0.031 0.32 +
17 -0.39 -0.99 -0.64 0.015 2 8.5e+03 0.0044 0.031 0.37 +
18 -0.38 -0.98 -0.63 -0.0074 2 8.5e+03 0.0035 0.031 0.46 +
19 -0.37 -0.96 -0.63 0.0026 2 8.5e+03 0.00064 0.031 0.7 +
20 -0.37 -0.96 -0.63 0.0026 2 8.5e+03 0.00064 0.016 -1.3 -
21 -0.37 -0.96 -0.63 0.0026 2 8.5e+03 0.00064 0.0078 -0.037 -
22 -0.37 -0.96 -0.63 0.00033 2 8.5e+03 0.00048 0.0078 0.53 +
23 -0.37 -0.96 -0.63 0.00033 2 8.5e+03 0.00048 0.0039 -0.13 -
24 -0.37 -0.96 -0.63 -0.00012 2 8.5e+03 0.00025 0.0039 0.79 +
25 -0.37 -0.96 -0.63 -0.00012 2 8.5e+03 0.00025 0.002 -0.9 -
26 -0.37 -0.96 -0.63 -0.00012 2 8.5e+03 0.00025 0.00098 0.081 -
27 -0.37 -0.96 -0.63 -0.0011 2 8.5e+03 0.00016 0.00098 0.41 +
28 -0.37 -0.96 -0.63 -0.00052 2 8.5e+03 0.00018 0.0098 0.94 ++
29 -0.37 -0.96 -0.63 -0.00052 2 8.5e+03 0.00018 0.0049 0.0033 -
30 -0.37 -0.96 -0.63 -0.0019 2 8.5e+03 0.00031 0.0049 0.39 +
31 -0.37 -0.96 -0.63 -0.00075 2.1 8.5e+03 0.00023 0.0049 0.11 +
32 -0.37 -0.96 -0.63 -0.00075 2.1 8.5e+03 0.00023 0.0024 -2.9 -
33 -0.37 -0.96 -0.63 -0.0011 2.1 8.5e+03 0.00015 0.0024 0.11 +
34 -0.37 -0.96 -0.63 -0.0011 2.1 8.5e+03 0.00015 0.0012 -0.076 -
35 -0.37 -0.96 -0.63 -0.0011 2.1 8.5e+03 0.00015 0.00061 -0.24 -
36 -0.37 -0.96 -0.63 -0.0017 2.1 8.5e+03 0.00012 0.00061 0.45 +
37 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 2.7e-05 0.0061 0.98 ++
38 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 2.7e-05 0.0031 -18 -
39 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 2.7e-05 0.0015 -22 -
40 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 2.7e-05 0.00076 -8.3 -
41 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 2.7e-05 0.00038 -3.7 -
42 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 2.7e-05 0.00019 -0.55 -
43 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 2.7e-05 9.5e-05 -0.54 -
44 -0.37 -0.96 -0.63 -0.0014 2.1 8.5e+03 3.8e-05 9.5e-05 0.32 +
45 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 1.5e-05 9.5e-05 0.78 +
46 -0.37 -0.96 -0.63 -0.0014 2.1 8.5e+03 2.9e-05 9.5e-05 0.65 +
47 -0.37 -0.96 -0.63 -0.0015 2.1 8.5e+03 1.7e-05 9.5e-05 0.88 +
48 -0.37 -0.96 -0.63 -0.0014 2.1 8.5e+03 2.2e-05 9.5e-05 0.89 +
49 -0.37 -0.96 -0.63 -0.0014 2.1 8.5e+03 1.4e-05 0.00095 0.91 ++
50 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 7.6e-06 0.00095 0.66 +
51 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 7.6e-06 0.00048 -13 -
52 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 7.6e-06 0.00024 -4.7 -
53 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 7.6e-06 0.00012 -1 -
54 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 7.6e-06 6e-05 -0.073 -
55 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 5.3e-06 6e-05 0.59 -
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:linear [8526.889898620786, 5]
Attempt 4/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000005
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.87 -
1 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.47 -
2 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.036 -
3 -0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 0.24 0.12 0.37 +
4 -0.25 -0.25 -0.14 -0.25 0.25 0.25 0 0 0 2 9.1e+03 0.067 0.12 0.55 +
5 -0.21 -0.26 -0.13 -0.38 0.14 0.17 -0.053 -0.12 -0.056 2 9e+03 0.11 0.12 0.81 +
6 -0.25 -0.39 -0.18 -0.46 0.05 0.11 -0.028 -0.11 -0.057 2.1 8.8e+03 0.08 0.12 0.65 +
7 -0.23 -0.44 -0.18 -0.54 -0.075 0.027 -0.093 -0.22 -0.15 2.1 8.7e+03 0.051 0.12 0.84 +
8 -0.24 -0.55 -0.22 -0.58 -0.2 -0.049 -0.1 -0.22 -0.18 2.1 8.6e+03 0.068 0.12 0.64 +
9 -0.2 -0.59 -0.23 -0.61 -0.32 -0.12 -0.18 -0.31 -0.26 2.1 8.5e+03 0.05 0.12 0.74 +
10 -0.2 -0.71 -0.3 -0.62 -0.44 -0.19 -0.22 -0.34 -0.31 2.2 8.4e+03 0.021 0.12 0.82 +
11 -0.15 -0.71 -0.31 -0.63 -0.57 -0.27 -0.27 -0.36 -0.33 2.2 8.4e+03 0.046 0.12 0.47 +
12 -0.17 -0.84 -0.37 -0.62 -0.64 -0.32 -0.33 -0.41 -0.4 2.3 8.4e+03 0.016 0.12 0.79 +
13 -0.14 -0.86 -0.39 -0.65 -0.76 -0.4 -0.37 -0.4 -0.41 2.3 8.4e+03 0.03 0.12 0.36 +
14 -0.16 -0.98 -0.47 -0.63 -0.88 -0.5 -0.48 -0.47 -0.52 2.4 8.4e+03 0.018 0.12 0.58 +
15 -0.26 -0.93 -0.53 -0.68 -0.95 -0.63 -0.54 -0.42 -0.64 2.4 8.4e+03 0.013 0.12 0.33 +
16 -0.26 -0.93 -0.53 -0.68 -0.95 -0.63 -0.54 -0.42 -0.64 2.4 8.4e+03 0.013 0.062 -1.8 -
17 -0.26 -0.93 -0.53 -0.68 -0.95 -0.63 -0.54 -0.42 -0.64 2.4 8.4e+03 0.013 0.031 -0.21 -
18 -0.24 -0.91 -0.55 -0.68 -0.93 -0.63 -0.56 -0.43 -0.61 2.4 8.3e+03 0.013 0.031 0.33 +
19 -0.26 -0.92 -0.55 -0.67 -0.9 -0.64 -0.56 -0.43 -0.62 2.3 8.3e+03 0.0054 0.031 0.43 +
20 -0.26 -0.92 -0.55 -0.67 -0.9 -0.64 -0.56 -0.43 -0.62 2.3 8.3e+03 0.0054 0.016 -0.85 -
21 -0.26 -0.92 -0.55 -0.67 -0.9 -0.64 -0.56 -0.43 -0.62 2.3 8.3e+03 0.0054 0.0078 0.015 -
22 -0.25 -0.92 -0.55 -0.67 -0.91 -0.65 -0.55 -0.42 -0.61 2.3 8.3e+03 0.0033 0.0078 0.66 +
23 -0.25 -0.92 -0.55 -0.67 -0.9 -0.65 -0.55 -0.42 -0.62 2.3 8.3e+03 0.0034 0.0078 0.48 +
24 -0.24 -0.92 -0.55 -0.67 -0.9 -0.65 -0.55 -0.42 -0.62 2.3 8.3e+03 0.00097 0.0078 0.81 +
25 -0.24 -0.91 -0.55 -0.67 -0.9 -0.66 -0.55 -0.41 -0.62 2.3 8.3e+03 0.0019 0.0078 0.46 +
26 -0.24 -0.92 -0.56 -0.67 -0.89 -0.66 -0.55 -0.42 -0.62 2.3 8.3e+03 0.001 0.0078 0.89 +
27 -0.24 -0.91 -0.56 -0.67 -0.89 -0.67 -0.54 -0.41 -0.63 2.3 8.3e+03 0.0012 0.0078 0.87 +
28 -0.23 -0.91 -0.57 -0.67 -0.88 -0.67 -0.54 -0.41 -0.63 2.3 8.3e+03 0.0016 0.0078 0.82 +
29 -0.23 -0.91 -0.57 -0.67 -0.88 -0.68 -0.54 -0.41 -0.64 2.3 8.3e+03 0.00099 0.0078 0.87 +
30 -0.23 -0.91 -0.58 -0.67 -0.87 -0.68 -0.54 -0.41 -0.64 2.3 8.3e+03 0.0011 0.0078 0.82 +
31 -0.23 -0.92 -0.58 -0.67 -0.87 -0.69 -0.54 -0.41 -0.64 2.3 8.3e+03 0.00073 0.078 0.9 ++
32 -0.23 -0.92 -0.58 -0.67 -0.87 -0.69 -0.54 -0.41 -0.64 2.3 8.3e+03 0.00073 0.039 -0.14 -
33 -0.22 -0.91 -0.6 -0.68 -0.86 -0.73 -0.53 -0.41 -0.66 2.2 8.3e+03 0.0039 0.039 0.15 +
34 -0.21 -0.93 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.7 2.2 8.3e+03 0.0025 0.039 0.27 +
35 -0.21 -0.93 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.7 2.2 8.3e+03 0.0025 0.02 -1.7 -
36 -0.22 -0.92 -0.62 -0.69 -0.84 -0.77 -0.52 -0.4 -0.7 2.2 8.3e+03 0.0012 0.02 0.3 +
37 -0.22 -0.92 -0.62 -0.69 -0.84 -0.77 -0.52 -0.4 -0.7 2.2 8.3e+03 0.0012 0.0098 -0.07 -
38 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.0023 0.0098 0.4 +
39 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.0023 0.0049 -7.7 -
40 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.0023 0.0024 -1.7 -
41 -0.21 -0.91 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.002 0.0024 0.18 +
42 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.00024 0.0024 0.7 +
43 -0.22 -0.92 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.00027 0.0024 0.31 +
44 -0.22 -0.92 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.00027 0.0012 -0.48 -
45 -0.22 -0.92 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.00038 0.0012 0.25 +
46 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.7 2.2 8.3e+03 0.00022 0.0012 0.26 +
47 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.7 2.2 8.3e+03 0.00022 0.00061 -1.3 -
48 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.00021 0.00061 0.24 +
49 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.00015 0.00061 0.4 +
50 -0.22 -0.92 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 0.00019 0.00061 0.35 +
51 -0.22 -0.92 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 7e-05 0.00061 0.77 +
52 -0.22 -0.91 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 5.1e-05 0.00061 0.72 +
53 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 5.7e-05 0.00061 0.56 +
54 -0.22 -0.91 -0.63 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 4.5e-05 0.00061 0.79 +
55 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 2.9e-05 0.00061 0.66 +
56 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 4.2e-05 0.00061 0.42 +
57 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 4.2e-05 0.00031 -0.5 -
58 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 1.8e-05 0.00031 0.65 +
59 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 1.2e-05 0.00031 0.59 +
60 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 1.2e-05 0.00015 -1 -
61 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 2.5e-05 0.00015 0.18 +
62 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 1.3e-05 0.00015 0.74 +
63 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 1.5e-05 0.00015 0.38 +
64 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 8.8e-06 0.00015 0.89 +
65 -0.22 -0.91 -0.62 -0.68 -0.84 -0.77 -0.53 -0.4 -0.69 2.2 8.3e+03 4.5e-06 0.00015 0.7 +
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:altspec;model_catalog:nested existing;train_tt_catalog:linear [8344.358458457427, 10]
Attempt 5/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000006
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time b_cost asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 -1 0.96 0.16 0.013 -0.76 -0.6 -0.18 -0.44 -0.13 -0.065 8.5e+03 0.044 10 1.1 ++
1 -1.3 1.3 0.42 0.47 -1.1 -0.69 0.0072 -1.1 -0.026 -0.38 8.3e+03 0.0099 1e+02 1.1 ++
2 -1.5 1.4 0.55 0.63 -1.2 -0.7 0.027 -1.2 -0.03 -0.45 8.3e+03 0.00067 1e+03 1 ++
3 -1.5 1.4 0.55 0.63 -1.2 -0.7 0.027 -1.2 -0.03 -0.45 8.3e+03 4.4e-06 1e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8281.995888743773, 10]
Attempt 6/100
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000007
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time square_tt_coef cube_tt_coef b_cost asc_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.2 -
1 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.5 0.28 +
2 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.25 0.28 -
3 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.12 0.28 -
4 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.062 0.28 -
5 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.031 0.28 -
6 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.016 0.28 -
7 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.0078 0.28 -
8 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.0039 -2.3 -
9 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.002 -2 -
10 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.00098 -1.4 -
11 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.00049 -0.78 -
12 -0.5 -0.5 0 0 -0.5 0.5 2.3 9.4e+03 10 0.00024 -0.078 -
13 -0.5 -0.5 0.00024 -0.00024 -0.5 0.5 2.3 9.4e+03 5.3 0.00024 0.75 +
14 -0.5 -0.5 0.00024 -0.00024 -0.5 0.5 2.3 9.4e+03 5.3 0.00012 -0.38 -
15 -0.5 -0.5 0.00024 -0.00024 -0.5 0.5 2.3 9.4e+03 5.3 6.1e-05 -0.6 -
16 -0.5 -0.5 0.00024 -0.00024 -0.5 0.5 2.3 9.4e+03 5.3 3.1e-05 0.059 -
17 -0.5 -0.5 0.00027 -0.00021 -0.5 0.5 2.3 9.4e+03 0.23 3.1e-05 0.74 +
18 -0.5 -0.5 0.00029 -0.00021 -0.5 0.5 2.3 9.4e+03 1.9 3.1e-05 0.65 +
19 -0.5 -0.5 0.0003 -0.00021 -0.5 0.5 2.3 9.4e+03 0.23 0.00031 1 ++
20 -0.5 -0.5 0.00045 -0.00021 -0.5 0.5 2.3 9.4e+03 1.8 0.0031 1 ++
21 -0.5 -0.5 0.0019 -0.00022 -0.5 0.5 2.3 9.4e+03 0.22 0.031 1 ++
22 -0.48 -0.51 0.016 -0.00024 -0.5 0.47 2.3 9.2e+03 8.7 0.31 0.95 ++
23 -0.35 -0.63 0.16 -0.0016 -0.5 0.16 2.2 8.7e+03 14 0.31 0.55 +
24 -0.35 -0.63 0.16 -0.0016 -0.5 0.16 2.2 8.7e+03 14 0.15 -1.9 -
25 -0.26 -0.59 0.086 -0.0012 -0.54 0.008 2.2 8.7e+03 16 0.15 0.11 +
26 -0.26 -0.59 0.086 -0.0012 -0.54 0.008 2.2 8.7e+03 16 0.076 0.022 -
27 -0.31 -0.64 0.16 -0.0012 -0.53 0.014 2.2 8.6e+03 9.5 0.076 0.78 +
28 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.76 1 ++
29 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.38 -20 -
30 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.19 -7 -
31 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.095 -3.1 -
32 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.048 -2.1 -
33 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.024 -1.9 -
34 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.012 -2 -
35 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.006 -2.1 -
36 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.003 -2.2 -
37 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.0015 -2.3 -
38 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.00075 -2.4 -
39 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.00037 -2.4 -
40 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 0.00019 -1.6 -
41 -0.36 -0.64 0.086 -0.00065 -0.56 0.042 2.2 8.5e+03 9 9.3e-05 -0.66 -
42 -0.36 -0.64 0.086 -0.00056 -0.56 0.042 2.2 8.5e+03 9.3 9.3e-05 0.39 +
43 -0.36 -0.64 0.086 -0.00061 -0.56 0.042 2.2 8.5e+03 5.4 9.3e-05 0.27 +
44 -0.36 -0.64 0.086 -0.00059 -0.56 0.042 2.2 8.5e+03 1.4 0.00093 1.3 ++
45 -0.36 -0.64 0.086 -0.00059 -0.56 0.041 2.2 8.5e+03 0.68 0.0093 0.96 ++
46 -0.36 -0.65 0.089 -0.0006 -0.56 0.033 2.2 8.5e+03 0.02 0.093 1 ++
47 -0.36 -0.74 0.052 -0.00045 -0.58 -0.057 2.2 8.5e+03 0.6 0.093 0.8 +
48 -0.45 -0.84 -0.0079 -0.0002 -0.59 -0.00072 2.2 8.5e+03 0.33 0.093 0.39 +
49 -0.4 -0.93 -0.069 4.4e-05 -0.6 -0.076 2.2 8.5e+03 1 0.093 0.36 +
50 -0.4 -0.93 -0.069 4.4e-05 -0.6 -0.076 2.2 8.5e+03 1 0.047 -0.58 -
51 -0.42 -0.95 -0.022 -0.00015 -0.6 -0.068 2.2 8.5e+03 1.2 0.047 0.45 +
52 -0.42 -0.99 -0.053 -1.9e-05 -0.6 -0.031 2.3 8.5e+03 0.93 0.047 0.73 +
53 -0.38 -1 -0.054 -2e-05 -0.6 -0.059 2.3 8.5e+03 2.2 0.047 0.74 +
54 -0.39 -1.1 -0.07 4.9e-05 -0.6 -0.017 2.3 8.5e+03 0.71 0.047 0.87 +
55 -0.39 -1.1 -0.07 4.9e-05 -0.6 -0.017 2.3 8.5e+03 0.71 0.023 -0.79 -
56 -0.39 -1.1 -0.07 4.9e-05 -0.6 -0.017 2.3 8.5e+03 0.71 0.012 -0.27 -
57 -0.38 -1.1 -0.06 1e-05 -0.6 -0.025 2.3 8.5e+03 4 0.012 0.5 +
58 -0.38 -1.1 -0.071 5.6e-05 -0.6 -0.026 2.3 8.5e+03 1 0.012 0.71 +
59 -0.37 -1.1 -0.065 2.2e-05 -0.6 -0.027 2.3 8.5e+03 5.2 0.012 0.76 +
60 -0.37 -1.1 -0.075 6.9e-05 -0.6 -0.026 2.3 8.5e+03 0.049 0.012 0.88 +
61 -0.36 -1.1 -0.068 4.5e-05 -0.6 -0.024 2.3 8.4e+03 7.4 0.012 0.7 +
62 -0.36 -1.2 -0.077 7.9e-05 -0.6 -0.02 2.3 8.4e+03 1.4 0.12 0.95 ++
63 -0.33 -1.3 -0.082 9.2e-05 -0.6 0.013 2.3 8.4e+03 8.7 0.12 0.8 +
64 -0.33 -1.3 -0.082 9.2e-05 -0.6 0.013 2.3 8.4e+03 8.7 0.058 -0.18 -
65 -0.28 -1.3 -0.096 0.00017 -0.6 0.0092 2.3 8.4e+03 5.1 0.058 0.11 +
66 -0.28 -1.3 -0.096 0.00017 -0.6 0.0092 2.3 8.4e+03 5.1 0.029 -0.16 -
67 -0.26 -1.4 -0.078 8.2e-05 -0.6 0.017 2.3 8.4e+03 1.2 0.029 0.19 +
68 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.029 0.68 +
69 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.015 -1.4 -
70 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.0073 -0.62 -
71 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.0036 -0.55 -
72 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.0018 -0.58 -
73 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.00091 -0.4 -
74 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.00045 -0.44 -
75 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.00023 -0.51 -
76 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 0.00011 -0.56 -
77 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 5.7e-05 -0.58 -
78 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 2.8e-05 -0.6 -
79 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 1.4e-05 -0.61 -
80 -0.27 -1.4 -0.088 0.00012 -0.6 0.047 2.3 8.4e+03 8.6 7.1e-06 -0.61 -
81 -0.27 -1.4 -0.088 0.00013 -0.6 0.047 2.3 8.4e+03 6 7.1e-06 0.25 +
82 -0.27 -1.4 -0.088 0.00013 -0.6 0.047 2.3 8.4e+03 0.13 7.1e-05 0.98 ++
83 -0.27 -1.4 -0.088 0.00013 -0.6 0.047 2.3 8.4e+03 0.0059 0.00071 0.98 ++
84 -0.27 -1.4 -0.089 0.00013 -0.6 0.046 2.3 8.4e+03 0.62 0.0071 0.95 ++
85 -0.27 -1.4 -0.092 0.00014 -0.6 0.045 2.3 8.4e+03 0.38 0.071 0.93 ++
86 -0.23 -1.4 -0.09 0.00013 -0.6 0.046 2.3 8.4e+03 10 0.071 0.38 +
87 -0.23 -1.5 -0.098 0.00017 -0.6 0.095 2.3 8.4e+03 7.8 0.071 0.42 +
88 -0.23 -1.5 -0.098 0.00017 -0.6 0.095 2.3 8.4e+03 7.8 0.036 -0.31 -
89 -0.19 -1.5 -0.094 0.00015 -0.62 0.1 2.2 8.4e+03 0.4 0.036 0.56 +
90 -0.19 -1.5 -0.094 0.00015 -0.62 0.1 2.2 8.4e+03 0.4 0.018 -0.11 -
91 -0.2 -1.5 -0.096 0.00016 -0.6 0.097 2.2 8.4e+03 2.2 0.018 0.69 +
92 -0.19 -1.5 -0.096 0.00016 -0.62 0.11 2.2 8.4e+03 1.2 0.018 0.74 +
93 -0.2 -1.6 -0.097 0.00016 -0.61 0.1 2.2 8.4e+03 0.16 0.018 0.76 +
94 -0.2 -1.6 -0.097 0.00016 -0.61 0.1 2.2 8.4e+03 0.16 0.0089 -1.1 -
95 -0.2 -1.6 -0.097 0.00017 -0.61 0.11 2.2 8.4e+03 0.44 0.0089 0.15 +
96 -0.19 -1.6 -0.096 0.00016 -0.62 0.11 2.2 8.4e+03 0.53 0.0089 0.56 +
97 -0.2 -1.6 -0.096 0.00016 -0.61 0.11 2.2 8.4e+03 0.84 0.0089 0.73 +
98 -0.19 -1.6 -0.096 0.00016 -0.62 0.11 2.2 8.4e+03 0.12 0.0089 0.84 +
99 -0.2 -1.6 -0.097 0.00016 -0.62 0.11 2.2 8.4e+03 0.002 0.0089 0.54 +
100 -0.2 -1.6 -0.097 0.00016 -0.62 0.11 2.1 8.4e+03 2 0.0089 0.56 +
101 -0.2 -1.6 -0.097 0.00016 -0.62 0.11 2.1 8.4e+03 0.095 0.0089 0.86 +
102 -0.2 -1.6 -0.097 0.00016 -0.62 0.11 2.1 8.4e+03 1.4 0.0089 0.35 +
103 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.051 0.0089 0.7 +
104 -0.2 -1.6 -0.097 0.00016 -0.62 0.11 2.1 8.4e+03 0.18 0.0089 0.63 +
105 -0.19 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.021 0.0089 0.72 +
106 -0.19 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.021 0.0044 -0.88 -
107 -0.19 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.021 0.0022 0.029 -
108 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.35 0.0022 0.35 +
109 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.045 0.0022 0.64 +
110 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.045 0.0011 -0.14 -
111 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.18 0.0011 0.5 +
112 -0.19 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.047 0.0011 0.42 +
113 -0.19 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.047 0.00056 -0.42 -
114 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.094 0.00056 0.57 +
115 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.029 0.00056 0.86 +
116 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.035 0.00056 0.59 +
117 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.035 0.00028 -1.1 -
118 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0047 0.00028 0.38 +
119 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0047 0.00014 -0.6 -
120 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0014 0.00014 0.24 +
121 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0026 0.00014 0.29 +
122 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0026 6.9e-05 -0.075 -
123 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.001 0.00069 0.98 ++
124 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.001 5.3e-05 -0.94 -
125 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.001 2.6e-05 -0.25 -
126 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.00065 2.6e-05 0.52 +
127 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.00052 0.00026 0.94 ++
128 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0015 0.00026 0.1 +
129 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0015 8.7e-05 -1.5 -
130 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0026 8.7e-05 0.12 +
131 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0002 8.7e-05 0.68 +
132 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0002 3.9e-05 -1.5 -
133 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0002 1.9e-05 -0.007 -
134 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.0034 1.9e-05 0.78 +
135 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.00047 1.9e-05 0.87 +
136 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.00047 9.6e-06 -0.64 -
137 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.00017 9.6e-06 0.2 +
138 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.00027 9.6e-06 0.58 +
139 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 0.00023 9.6e-06 0.11 +
140 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 1.5e-05 9.6e-06 0.8 +
141 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 1.5e-05 2e-06 -3.4 -
142 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 1.5e-05 1e-06 -0.53 -
143 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 2.3e-05 1e-06 0.26 +
144 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 2.3e-05 5.1e-07 -1.4 -
145 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 6.5e-06 5.1e-07 0.48 +
146 -0.2 -1.6 -0.097 0.00016 -0.63 0.12 2.1 8.4e+03 4e-06 5.1e-07 0.96 +
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:power [8423.973484354963, 7]
Attempt 7/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000008
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com b_cost asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 -1 0.98 0.16 0.076 -0.83 0.32 -0.65 -0.3 -0.39 0.025 -0.11 8.5e+03 0.041 10 1.1 ++
1 -1.3 1.3 0.4 0.45 -1.1 0.0035 -0.69 0.0048 -1.1 -0.028 -0.43 8.3e+03 0.0098 1e+02 1.1 ++
2 -1.5 1.4 0.54 0.62 -1.2 -0.16 -0.7 0.029 -1.2 -0.03 -0.46 8.3e+03 0.00076 1e+03 1 ++
3 -1.5 1.4 0.56 0.64 -1.2 -0.17 -0.7 0.03 -1.2 -0.031 -0.46 8.3e+03 6.1e-06 1e+04 1 ++
4 -1.5 1.4 0.56 0.64 -1.2 -0.17 -0.7 0.03 -1.2 -0.031 -0.46 8.3e+03 5.1e-10 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8280.198738682708, 11]
Attempt 8/100
Biogeme parameters read from biogeme.toml.
Model with 17 unknown parameters [max: 50]
*** Estimate b07everything_000009
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.26 -
1 9.6e+03 1 0.5 0.65 +
2 9.6e+03 1 0.25 -8.2 -
3 9.6e+03 1 0.12 -10 -
4 9.6e+03 1 0.062 -13 -
5 9.6e+03 1 0.031 -28 -
6 9.6e+03 1 0.016 -2.3 -
7 9.4e+03 0.46 0.16 0.97 ++
8 9.4e+03 0.46 0.078 -14 -
9 9.4e+03 0.46 0.039 -12 -
10 9.4e+03 0.46 0.02 -12 -
11 9.4e+03 0.46 0.0098 -12 -
12 9.4e+03 0.46 0.0049 -3.8 -
13 9.4e+03 2.5 0.0049 0.64 +
14 9.4e+03 0.33 0.049 0.99 ++
15 9.3e+03 0.053 0.49 1 ++
16 8.9e+03 5.2 0.49 0.67 +
17 8.9e+03 5.2 0.24 -7 -
18 8.9e+03 5.2 0.12 -7.7 -
19 8.9e+03 5.2 0.061 -14 -
20 8.9e+03 5.2 0.031 -5.8 -
21 8.9e+03 5.2 0.015 -3.9 -
22 8.9e+03 5.2 0.0076 -2.9 -
23 8.9e+03 5.2 0.0038 -2.1 -
24 8.9e+03 5.2 0.0019 -1.1 -
25 8.9e+03 5.2 0.00095 -0.19 -
26 8.8e+03 4.4 0.00095 0.52 +
27 8.8e+03 4.4 0.00048 -0.36 -
28 8.8e+03 5.1 0.00048 0.2 +
29 8.8e+03 5.1 0.00024 0.025 -
30 8.8e+03 2.5 0.00024 0.68 +
31 8.8e+03 1 0.00024 0.87 +
32 8.8e+03 0.15 0.0024 1 ++
33 8.8e+03 0.76 0.024 1 ++
34 8.7e+03 0.12 0.24 1 ++
35 8.5e+03 0.48 0.24 0.84 +
36 8.4e+03 0.37 0.24 0.84 +
37 8.3e+03 0.057 2.4 1 ++
38 8.2e+03 0.29 2.4 0.85 +
39 8.2e+03 0.29 0.26 -3.6 -
40 8.2e+03 1.1 0.26 0.78 +
41 8.1e+03 1.5 2.6 1.1 ++
42 8.1e+03 1.5 1.3 -4.5e+02 -
43 8.1e+03 1.5 0.64 -1e+02 -
44 8.1e+03 1.5 0.32 -13 -
45 8.1e+03 1.5 0.16 -0.047 -
46 8.1e+03 1.4 1.6 0.98 ++
47 8.1e+03 1.4 0.56 -28 -
48 8.1e+03 1.4 0.28 -0.75 -
49 8.1e+03 3.3 2.8 0.94 ++
50 8.1e+03 17 2.8 0.47 +
51 8.1e+03 17 0.92 -0.87 -
52 8.1e+03 17 0.46 -0.12 -
53 8.1e+03 16 0.46 0.25 +
54 8.1e+03 16 0.23 -5.3 -
55 8.1e+03 16 0.11 -4.6 -
56 8.1e+03 16 0.057 -4.4 -
57 8.1e+03 16 0.029 -4.3 -
58 8.1e+03 16 0.014 -4.1 -
59 8.1e+03 16 0.0071 -3.7 -
60 8.1e+03 16 0.0036 -3.7 -
61 8.1e+03 16 0.0018 -3.7 -
62 8.1e+03 16 0.00089 -3.8 -
63 8.1e+03 16 0.00045 -3.8 -
64 8.1e+03 16 0.00022 -3.9 -
65 8.1e+03 16 0.00011 -1.2 -
66 8.1e+03 18 0.00011 0.6 +
67 8.1e+03 1 0.0011 1 ++
68 8.1e+03 0.027 0.011 1 ++
69 8.1e+03 0.41 0.11 1 ++
70 8.1e+03 1.5 1.1 0.99 ++
71 8.1e+03 0.4 11 1 ++
72 8.1e+03 0.014 1.1e+02 1 ++
73 8.1e+03 1.3e-05 1.1e+03 1 ++
74 8.1e+03 1.4e-06 1.1e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:power [8077.879767004916, 17]
Attempt 9/100
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000010
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car b_time_car_ref b_time_car_diff b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -1.1 -
1 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.39 -
2 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 0.21 0.25 0.23 +
3 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 0.21 0.12 0.023 -
4 -0.22 -0.22 -0.22 -0.25 0.12 0.12 0.12 0.38 -0.12 -0.12 -0.12 1.2 9.4e+03 0.04 0.12 0.75 +
5 -0.34 -0.34 -0.35 -0.37 0 0 0 0.25 -0.25 0 -0.25 1.3 9.2e+03 0.053 0.12 0.61 +
6 -0.34 -0.34 -0.35 -0.37 0 0 0 0.25 -0.25 0 -0.25 1.3 9.2e+03 0.053 0.062 0.068 -
7 -0.28 -0.28 -0.29 -0.35 -0.062 -0.062 -0.062 0.19 -0.31 -0.062 -0.31 1.3 9.1e+03 0.054 0.062 0.62 +
8 -0.34 -0.34 -0.35 -0.41 -0.12 -0.12 -0.12 0.12 -0.38 -0.12 -0.29 1.3 8.9e+03 0.036 0.062 0.89 +
9 -0.28 -0.4 -0.33 -0.47 -0.19 -0.19 -0.19 0.062 -0.44 -0.14 -0.32 1.4 8.8e+03 0.031 0.62 0.92 ++
10 -0.28 -0.4 -0.33 -0.47 -0.19 -0.19 -0.19 0.062 -0.44 -0.14 -0.32 1.4 8.8e+03 0.031 0.31 -2.7 -
11 -0.28 -0.4 -0.33 -0.47 -0.19 -0.19 -0.19 0.062 -0.44 -0.14 -0.32 1.4 8.8e+03 0.031 0.16 -0.67 -
12 -0.28 -0.4 -0.33 -0.47 -0.19 -0.19 -0.19 0.062 -0.44 -0.14 -0.32 1.4 8.8e+03 0.031 0.078 -0.13 -
13 -0.2 -0.48 -0.35 -0.55 -0.27 -0.27 -0.27 -0.016 -0.4 -0.13 -0.26 1.5 8.8e+03 0.072 0.078 0.29 +
14 -0.19 -0.5 -0.35 -0.59 -0.28 -0.27 -0.27 -0.076 -0.48 -0.19 -0.3 1.5 8.7e+03 0.03 0.78 0.94 ++
15 -0.12 -0.75 -0.47 -1.4 -1 -0.55 -0.85 -0.48 -0.8 -0.72 -0.5 1.7 8.5e+03 0.08 0.78 0.55 +
16 -0.12 -0.75 -0.47 -1.4 -1 -0.55 -0.85 -0.48 -0.8 -0.72 -0.5 1.7 8.5e+03 0.08 0.39 -0.79 -
17 -0.12 -0.75 -0.47 -1.4 -1 -0.55 -0.85 -0.48 -0.8 -0.72 -0.5 1.7 8.5e+03 0.08 0.2 -0.84 -
18 -0.12 -0.75 -0.47 -1.4 -1 -0.55 -0.85 -0.48 -0.8 -0.72 -0.5 1.7 8.5e+03 0.08 0.098 -0.86 -
19 -0.12 -0.75 -0.47 -1.4 -1 -0.55 -0.85 -0.48 -0.8 -0.72 -0.5 1.7 8.5e+03 0.08 0.049 -0.27 -
20 -0.17 -0.8 -0.51 -1.4 -1 -0.52 -0.8 -0.52 -0.82 -0.67 -0.52 1.7 8.5e+03 0.044 0.049 0.27 +
21 -0.15 -0.8 -0.48 -1.4 -0.99 -0.57 -0.85 -0.53 -0.8 -0.62 -0.51 1.7 8.4e+03 0.012 0.49 0.92 ++
22 -0.15 -0.8 -0.48 -1.4 -0.99 -0.57 -0.85 -0.53 -0.8 -0.62 -0.51 1.7 8.4e+03 0.012 0.24 -4.5 -
23 -0.15 -0.8 -0.48 -1.4 -0.99 -0.57 -0.85 -0.53 -0.8 -0.62 -0.51 1.7 8.4e+03 0.012 0.12 -1.2 -
24 -0.15 -0.8 -0.48 -1.4 -0.99 -0.57 -0.85 -0.53 -0.8 -0.62 -0.51 1.7 8.4e+03 0.012 0.061 -0.099 -
25 -0.11 -0.81 -0.44 -1.5 -0.94 -0.6 -0.85 -0.59 -0.82 -0.6 -0.54 1.7 8.4e+03 0.022 0.061 0.35 +
26 -0.1 -0.86 -0.44 -1.5 -0.91 -0.64 -0.88 -0.62 -0.77 -0.55 -0.52 1.6 8.4e+03 0.024 0.061 0.18 +
27 -0.039 -0.83 -0.48 -1.6 -0.92 -0.59 -0.87 -0.66 -0.74 -0.6 -0.52 1.6 8.4e+03 0.0063 0.061 0.64 +
28 -0.055 -0.87 -0.41 -1.6 -0.89 -0.64 -0.92 -0.71 -0.72 -0.63 -0.54 1.5 8.4e+03 0.0075 0.061 0.23 +
29 -0.038 -0.86 -0.48 -1.6 -0.91 -0.63 -0.9 -0.71 -0.68 -0.62 -0.53 1.5 8.4e+03 0.0082 0.061 0.48 +
30 -0.059 -0.87 -0.48 -1.7 -0.95 -0.66 -0.94 -0.75 -0.71 -0.68 -0.56 1.5 8.4e+03 0.0053 0.061 0.56 +
31 -0.055 -0.9 -0.5 -1.7 -0.94 -0.71 -0.93 -0.77 -0.7 -0.64 -0.58 1.4 8.4e+03 0.0035 0.061 0.34 +
32 -0.055 -0.9 -0.52 -1.7 -0.96 -0.68 -0.93 -0.75 -0.67 -0.7 -0.57 1.4 8.4e+03 0.0048 0.061 0.28 +
33 -0.055 -0.9 -0.52 -1.7 -0.96 -0.68 -0.93 -0.75 -0.67 -0.7 -0.57 1.4 8.4e+03 0.0048 0.031 -1.4 -
34 -0.055 -0.9 -0.52 -1.7 -0.96 -0.68 -0.93 -0.75 -0.67 -0.7 -0.57 1.4 8.4e+03 0.0048 0.015 -0.47 -
35 -0.055 -0.9 -0.52 -1.7 -0.96 -0.68 -0.93 -0.75 -0.67 -0.7 -0.57 1.4 8.4e+03 0.0048 0.0076 -0.2 -
36 -0.053 -0.9 -0.51 -1.7 -0.96 -0.69 -0.93 -0.76 -0.68 -0.71 -0.57 1.4 8.4e+03 0.0045 0.0076 0.41 +
37 -0.056 -0.9 -0.51 -1.7 -0.96 -0.7 -0.93 -0.76 -0.67 -0.7 -0.57 1.4 8.4e+03 0.0015 0.076 0.97 ++
38 -0.064 -0.94 -0.54 -1.7 -0.96 -0.75 -0.93 -0.76 -0.69 -0.68 -0.59 1.3 8.4e+03 0.0038 0.076 0.58 +
39 -0.074 -0.96 -0.54 -1.7 -0.99 -0.78 -0.93 -0.75 -0.68 -0.74 -0.6 1.2 8.4e+03 0.0078 0.076 0.28 +
40 -0.074 -0.96 -0.54 -1.7 -0.99 -0.78 -0.93 -0.75 -0.68 -0.74 -0.6 1.2 8.4e+03 0.0078 0.038 -0.66 -
41 -0.054 -0.96 -0.58 -1.8 -1 -0.79 -0.9 -0.75 -0.68 -0.72 -0.6 1.2 8.4e+03 0.0029 0.038 0.6 +
42 -0.054 -0.96 -0.58 -1.8 -1 -0.79 -0.9 -0.75 -0.68 -0.72 -0.6 1.2 8.4e+03 0.0029 0.019 0.0083 -
43 -0.065 -0.98 -0.57 -1.8 -0.99 -0.79 -0.92 -0.75 -0.68 -0.73 -0.6 1.2 8.4e+03 0.0028 0.019 0.72 +
44 -0.063 -0.98 -0.58 -1.8 -0.99 -0.79 -0.92 -0.74 -0.68 -0.74 -0.6 1.2 8.4e+03 0.001 0.019 0.9 +
45 -0.067 -1 -0.58 -1.8 -1 -0.8 -0.91 -0.74 -0.68 -0.74 -0.6 1.2 8.4e+03 0.0022 0.19 0.96 ++
46 -0.067 -1 -0.58 -1.8 -1 -0.8 -0.91 -0.74 -0.68 -0.74 -0.6 1.2 8.4e+03 0.0022 0.095 -0.39 -
47 -0.077 -1 -0.59 -1.8 -1 -0.85 -0.9 -0.73 -0.69 -0.75 -0.62 1.1 8.4e+03 0.0032 0.095 0.44 +
48 -0.062 -1.1 -0.68 -1.9 -1 -0.85 -0.92 -0.7 -0.69 -0.77 -0.63 1 8.4e+03 0.0061 0.095 0.21 +
49 -0.062 -1.1 -0.68 -1.9 -1 -0.85 -0.92 -0.7 -0.69 -0.77 -0.63 1 8.4e+03 0.0061 0.048 -2.1 -
50 -0.062 -1.1 -0.68 -1.9 -1 -0.85 -0.92 -0.7 -0.69 -0.77 -0.63 1 8.4e+03 0.0061 0.024 -0.54 -
51 -0.067 -1.1 -0.66 -1.9 -1 -0.86 -0.89 -0.69 -0.68 -0.79 -0.62 1 8.4e+03 0.0065 0.024 0.11 +
52 -0.069 -1.1 -0.64 -1.9 -1 -0.87 -0.89 -0.69 -0.68 -0.8 -0.63 1 8.4e+03 0.0018 0.024 0.77 +
53 -0.069 -1.1 -0.65 -1.9 -1 -0.87 -0.88 -0.69 -0.68 -0.78 -0.63 1 8.4e+03 0.0014 0.024 0.57 +
54 -0.069 -1.1 -0.65 -1.9 -1 -0.87 -0.88 -0.69 -0.68 -0.78 -0.63 1 8.4e+03 0.0014 0.012 -1.7 -
55 -0.069 -1.1 -0.65 -1.9 -1 -0.87 -0.88 -0.69 -0.68 -0.78 -0.63 1 8.4e+03 0.0014 0.006 -0.26 -
56 -0.065 -1.1 -0.65 -1.9 -1 -0.87 -0.89 -0.69 -0.68 -0.79 -0.63 1 8.4e+03 0.0014 0.006 0.24 +
57 -0.064 -1.1 -0.65 -1.9 -1 -0.87 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 0.00018 0.006 0.81 +
58 -0.061 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 0.00016 0.006 0.45 +
59 -0.061 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 0.00016 0.003 -0.085 -
60 -0.061 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 0.00013 0.003 0.74 +
61 -0.061 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 0.00013 0.0015 -2.1 -
62 -0.061 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 0.00013 0.00075 -0.2 -
63 -0.06 -1.1 -0.65 -1.9 -1 -0.87 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 8e-05 0.00075 0.47 +
64 -0.06 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 3.9e-05 0.00075 0.45 +
65 -0.06 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 3.9e-05 0.00037 -0.068 -
66 -0.06 -1.1 -0.65 -1.9 -1 -0.88 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 6e-05 0.00037 0.45 +
67 -0.06 -1.1 -0.65 -1.9 -1 -0.87 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 2.3e-05 0.00037 0.79 +
68 -0.059 -1.1 -0.65 -1.9 -1 -0.87 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 1.2e-05 0.00037 0.39 +
69 -0.059 -1.1 -0.65 -1.9 -1 -0.87 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 2.6e-05 0.00037 0.43 +
70 -0.059 -1.1 -0.65 -1.9 -1 -0.87 -0.89 -0.69 -0.69 -0.79 -0.63 1 8.4e+03 3.6e-06 0.00037 0.7 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000011
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di lambda_travel_t b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff mu_public Function Relgrad Radius Rho
0 0 0 0 1 0 0 0 0 0 0 1 1.1e+04 0.22 0.5 -0.032 -
1 -0.5 -0.5 -0.5 1 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 1.5 9.2e+03 0.13 0.5 0.52 +
2 -0.5 -0.5 -0.5 1 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 1.5 9.2e+03 0.13 0.25 0.041 -
3 -0.25 -0.75 -0.75 1.2 -0.75 -0.75 -0.75 0.25 -0.75 -0.75 1.2 8.8e+03 0.04 0.25 0.53 +
4 -0.25 -0.75 -0.75 1.2 -0.75 -0.75 -0.75 0.25 -0.75 -0.75 1.2 8.8e+03 0.04 0.12 -0.15 -
5 -0.38 -0.88 -0.88 1.1 -0.62 -0.88 -0.88 0.12 -0.62 -0.62 1.4 8.7e+03 0.041 0.12 0.47 +
6 -0.25 -0.82 -0.82 1 -0.75 -0.88 -0.85 0 -0.69 -0.67 1.2 8.6e+03 0.031 0.12 0.44 +
7 -0.38 -0.95 -0.94 0.88 -0.76 -1 -0.84 -0.12 -0.57 -0.55 1.4 8.6e+03 0.018 0.12 0.42 +
8 -0.28 -0.97 -0.93 0.85 -0.78 -0.95 -0.8 -0.18 -0.61 -0.6 1.2 8.5e+03 0.019 0.12 0.55 +
9 -0.37 -1.1 -0.94 0.84 -0.8 -0.94 -0.76 -0.14 -0.61 -0.63 1.3 8.5e+03 0.0054 0.12 0.72 +
10 -0.36 -1.1 -0.93 0.76 -0.83 -0.97 -0.73 -0.14 -0.6 -0.67 1.1 8.5e+03 0.012 0.12 0.74 +
11 -0.45 -1.3 -0.95 0.69 -0.83 -1 -0.7 -0.11 -0.6 -0.72 1.1 8.5e+03 0.005 0.12 0.87 +
12 -0.44 -1.4 -0.97 0.66 -0.84 -1.1 -0.66 -0.11 -0.64 -0.77 1 8.5e+03 0.011 0.12 0.74 +
13 -0.47 -1.4 -1 0.64 -0.86 -1.1 -0.65 -0.054 -0.64 -0.79 1 8.5e+03 0.0052 1.2 0.92 ++
14 -0.47 -1.4 -1 0.64 -0.86 -1.1 -0.65 -0.054 -0.64 -0.79 1 8.5e+03 0.0052 0.62 -5.6 -
15 -0.47 -1.4 -1 0.64 -0.86 -1.1 -0.65 -0.054 -0.64 -0.79 1 8.5e+03 0.0052 0.31 -2.5 -
16 -0.47 -1.4 -1 0.64 -0.86 -1.1 -0.65 -0.054 -0.64 -0.79 1 8.5e+03 0.0052 0.16 -1.1 -
17 -0.49 -1.6 -1.1 0.52 -0.86 -1.3 -0.63 -0.1 -0.72 -0.87 1 8.5e+03 0.011 0.16 0.22 +
18 -0.33 -1.6 -1.1 0.46 -0.91 -1.2 -0.59 -0.022 -0.72 -0.87 1 8.4e+03 0.009 0.16 0.63 +
19 -0.38 -1.7 -1.1 0.47 -0.88 -1.3 -0.59 -0.018 -0.73 -0.88 1 8.4e+03 0.0039 1.6 0.95 ++
20 0.29 -3.2 -2.1 -0.87 -0.55 -2.8 0.42 1.1 -1.7 -1.5 1 9.7e+03 0.25 16 7.5 ++
21 0.29 -3.2 -2.1 -0.87 -0.55 -2.8 0.42 1.1 -1.7 -1.5 1 9.7e+03 0.25 7.8 -7.6 -
22 0.29 -3.2 -2.1 -0.87 -0.55 -2.8 0.42 1.1 -1.7 -1.5 1 9.7e+03 0.25 3.9 -3.4 -
23 0.29 -3.2 -2.1 -0.87 -0.55 -2.8 0.42 1.1 -1.7 -1.5 1 9.7e+03 0.25 2 -1.5 -
24 0.29 -3.2 -2.1 -0.87 -0.55 -2.8 0.42 1.1 -1.7 -1.5 1 9.7e+03 0.25 0.98 -0.5 -
25 0.29 -3.2 -2.1 -0.87 -0.55 -2.8 0.42 1.1 -1.7 -1.5 1 9.7e+03 0.25 0.49 -0.2 -
26 0.78 -3.7 -1.6 -0.38 -1 -2.3 0.91 0.58 -2.2 -2 1 9.1e+03 0.08 0.49 0.39 +
27 0.32 -3.8 -1.6 -0.3 -1.1 -2.7 0.42 0.62 -1.8 -1.7 1 8.8e+03 0.072 0.49 0.7 +
28 0.7 -3.7 -1.5 0.18 -1.1 -2.4 0.23 0.35 -1.6 -1.5 1 8.7e+03 0.049 0.49 0.24 +
29 0.31 -3.3 -1.3 -0.11 -0.86 -2.5 -0.26 0.063 -1.3 -1.1 1 8.7e+03 0.095 0.49 0.24 +
30 -0.045 -3.1 -1.2 0.17 -0.96 -2 -0.21 0.55 -1.3 -1 1 8.6e+03 0.055 0.49 0.11 +
31 0.44 -2.8 -1.1 0.0036 -1.1 -1.8 -0.17 0.16 -1.4 -1 1 8.6e+03 0.049 0.49 0.16 +
32 0.068 -2.8 -1.1 -0.0088 -0.93 -1.9 -0.25 0.19 -1.3 -0.98 1 8.5e+03 0.018 0.49 0.69 +
33 0.068 -2.8 -1.1 -0.0088 -0.93 -1.9 -0.25 0.19 -1.3 -0.98 1 8.5e+03 0.018 0.24 -2.4 -
34 0.068 -2.8 -1.1 -0.0088 -0.93 -1.9 -0.25 0.19 -1.3 -0.98 1 8.5e+03 0.018 0.12 -2.1 -
35 0.068 -2.8 -1.1 -0.0088 -0.93 -1.9 -0.25 0.19 -1.3 -0.98 1 8.5e+03 0.018 0.061 -0.21 -
36 0.12 -2.8 -1.1 0.052 -0.94 -1.9 -0.21 0.26 -1.3 -0.94 1 8.5e+03 0.0088 0.061 0.51 +
37 0.089 -2.8 -1.1 0.063 -0.9 -1.9 -0.23 0.19 -1.3 -0.95 1 8.4e+03 0.0078 0.61 0.95 ++
38 0.089 -2.8 -1.1 0.063 -0.9 -1.9 -0.23 0.19 -1.3 -0.95 1 8.4e+03 0.0078 0.31 0.05 -
39 -0.11 -2.5 -1 0.12 -0.89 -1.7 -0.32 0.18 -1.1 -0.84 1 8.4e+03 0.0098 0.31 0.5 +
40 -0.11 -2.5 -1 0.12 -0.89 -1.7 -0.32 0.18 -1.1 -0.84 1 8.4e+03 0.0098 0.15 -0.6 -
41 -0.11 -2.5 -1 0.12 -0.89 -1.7 -0.32 0.18 -1.1 -0.84 1 8.4e+03 0.0098 0.076 -0.24 -
42 -0.037 -2.4 -1 0.14 -0.86 -1.6 -0.31 0.11 -1.1 -0.88 1 8.4e+03 0.0077 0.076 0.17 +
43 -0.11 -2.4 -1 0.17 -0.9 -1.7 -0.34 0.11 -1.1 -0.86 1 8.4e+03 0.004 0.076 0.87 +
44 -0.11 -2.4 -1 0.17 -0.9 -1.7 -0.34 0.11 -1.1 -0.86 1 8.4e+03 0.004 0.038 -0.19 -
45 -0.1 -2.4 -1 0.17 -0.88 -1.6 -0.33 0.14 -1.1 -0.87 1 8.4e+03 0.0034 0.038 0.54 +
46 -0.13 -2.3 -1 0.2 -0.9 -1.6 -0.35 0.1 -1 -0.87 1 8.4e+03 0.0022 0.38 0.92 ++
47 -0.13 -2.3 -1 0.2 -0.9 -1.6 -0.35 0.1 -1 -0.87 1 8.4e+03 0.0022 0.19 -2 -
48 -0.13 -2.3 -1 0.2 -0.9 -1.6 -0.35 0.1 -1 -0.87 1 8.4e+03 0.0022 0.095 -0.3 -
49 -0.13 -2.2 -1.1 0.2 -0.88 -1.6 -0.37 0.097 -1 -0.89 1 8.4e+03 0.0028 0.095 0.39 +
50 -0.13 -2.2 -1.1 0.2 -0.88 -1.6 -0.37 0.097 -1 -0.89 1 8.4e+03 0.0028 0.048 -1 -
51 -0.18 -2.2 -1.1 0.21 -0.88 -1.6 -0.38 0.094 -1 -0.9 1 8.4e+03 0.0029 0.048 0.41 +
52 -0.18 -2.2 -1.1 0.21 -0.88 -1.6 -0.38 0.094 -1 -0.9 1 8.4e+03 0.0029 0.024 -1.1 -
53 -0.16 -2.2 -1.1 0.23 -0.9 -1.5 -0.38 0.096 -0.99 -0.89 1 8.4e+03 0.0013 0.024 0.42 +
54 -0.16 -2.2 -1.1 0.23 -0.87 -1.6 -0.39 0.091 -0.98 -0.89 1 8.4e+03 0.0008 0.024 0.6 +
55 -0.17 -2.2 -1.1 0.23 -0.89 -1.5 -0.39 0.084 -0.98 -0.9 1 8.4e+03 0.00071 0.024 0.5 +
56 -0.17 -2.2 -1.1 0.23 -0.89 -1.5 -0.39 0.084 -0.98 -0.9 1 8.4e+03 0.00071 0.012 -0.89 -
57 -0.16 -2.2 -1.1 0.24 -0.88 -1.5 -0.39 0.088 -0.97 -0.9 1 8.4e+03 0.00046 0.012 0.68 +
58 -0.16 -2.2 -1.1 0.24 -0.88 -1.5 -0.39 0.088 -0.97 -0.9 1 8.4e+03 0.00046 0.006 -0.1 -
59 -0.17 -2.2 -1.1 0.24 -0.89 -1.5 -0.4 0.084 -0.97 -0.9 1 8.4e+03 0.00044 0.006 0.68 +
60 -0.17 -2.2 -1.1 0.24 -0.88 -1.5 -0.4 0.086 -0.97 -0.9 1 8.4e+03 0.0002 0.006 0.89 +
61 -0.18 -2.2 -1.1 0.24 -0.89 -1.5 -0.4 0.083 -0.97 -0.9 1 8.4e+03 0.00031 0.006 0.71 +
62 -0.18 -2.2 -1.1 0.24 -0.89 -1.5 -0.4 0.083 -0.97 -0.9 1 8.4e+03 0.00031 0.003 -0.22 -
63 -0.17 -2.2 -1.1 0.24 -0.88 -1.5 -0.4 0.085 -0.96 -0.91 1 8.4e+03 0.00017 0.003 0.81 +
64 -0.18 -2.2 -1.1 0.24 -0.88 -1.5 -0.4 0.083 -0.96 -0.91 1 8.4e+03 0.00014 0.03 0.91 ++
65 -0.18 -2.2 -1.1 0.24 -0.88 -1.5 -0.4 0.083 -0.96 -0.91 1 8.4e+03 0.00014 0.015 -3.2 -
66 -0.18 -2.1 -1.1 0.25 -0.89 -1.5 -0.41 0.079 -0.95 -0.91 1 8.4e+03 0.00029 0.015 0.42 +
67 -0.18 -2.1 -1.1 0.25 -0.89 -1.5 -0.41 0.079 -0.95 -0.91 1 8.4e+03 0.00029 0.0075 -4.9 -
68 -0.18 -2.1 -1.1 0.25 -0.89 -1.5 -0.41 0.079 -0.95 -0.91 1 8.4e+03 0.00029 0.0037 -1.3 -
69 -0.18 -2.1 -1.1 0.25 -0.89 -1.5 -0.41 0.079 -0.95 -0.91 1 8.4e+03 0.00029 0.0019 -0.075 -
70 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 0.00017 0.0019 0.49 +
71 -0.18 -2.1 -1.1 0.25 -0.89 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 7.4e-05 0.0019 0.48 +
72 -0.18 -2.1 -1.1 0.25 -0.89 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 7.4e-05 0.00093 -0.092 -
73 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 4e-05 0.00093 0.67 +
74 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 4e-05 0.00047 -0.27 -
75 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 4e-05 0.00023 -0.16 -
76 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 2e-05 0.00023 0.43 +
77 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 1.9e-05 0.00023 0.6 +
78 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 1.1e-05 0.00023 0.61 +
79 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 8.2e-06 0.00023 0.71 +
80 -0.18 -2.1 -1.1 0.25 -0.88 -1.5 -0.41 0.081 -0.95 -0.91 1 8.4e+03 4.9e-06 0.00023 0.76 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000012
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di square_tt_coef cube_tt_coef b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.74 -
1 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.3 -
2 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.25 0.17 +
3 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.12 0.17 -
4 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.062 0.17 -
5 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.031 -4.6 -
6 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.016 -2.9 -
7 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.0078 -1.9 -
8 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.0039 -1.2 -
9 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.7 0.002 -0.41 -
10 -0.25 -0.25 -0.25 -0.002 -0.002 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 2.9 0.002 0.5 +
11 -0.25 -0.25 -0.25 -0.003 -0.00062 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 1.4 0.002 0.57 +
12 -0.25 -0.25 -0.25 -0.004 -0.0011 -0.25 0.25 0.25 0.25 0.24 -0.25 2 9.8e+03 0.61 0.02 1.1 ++
13 -0.24 -0.24 -0.25 -0.015 -0.0011 -0.25 0.26 0.25 0.23 0.22 -0.25 2 9.7e+03 0.71 0.2 0.96 ++
14 -0.24 -0.24 -0.25 -0.015 -0.0011 -0.25 0.26 0.25 0.23 0.22 -0.25 2 9.7e+03 0.71 0.098 0.037 -
15 -0.22 -0.21 -0.24 -0.066 0.0057 -0.26 0.28 0.26 0.17 0.13 -0.26 2 9.4e+03 3.4 0.098 0.42 +
16 -0.22 -0.21 -0.24 -0.066 0.0057 -0.26 0.28 0.26 0.17 0.13 -0.26 2 9.4e+03 3.4 0.049 -2.4 -
17 -0.22 -0.21 -0.24 -0.066 0.0057 -0.26 0.28 0.26 0.17 0.13 -0.26 2 9.4e+03 3.4 0.024 -2.1 -
18 -0.22 -0.21 -0.24 -0.066 0.0057 -0.26 0.28 0.26 0.17 0.13 -0.26 2 9.4e+03 3.4 0.012 -2 -
19 -0.22 -0.21 -0.24 -0.066 0.0057 -0.26 0.28 0.26 0.17 0.13 -0.26 2 9.4e+03 3.4 0.0061 -1.2 -
20 -0.21 -0.2 -0.24 -0.072 -0.00036 -0.27 0.29 0.26 0.16 0.12 -0.25 2 9.2e+03 4 0.061 0.97 ++
21 -0.2 -0.2 -0.24 -0.093 0.0031 -0.29 0.31 0.27 0.1 0.06 -0.23 2 9.2e+03 3.7 0.061 0.14 +
22 -0.2 -0.23 -0.24 -0.097 -0.00025 -0.31 0.33 0.27 0.043 -0.0012 -0.22 2 9.1e+03 8.8 0.061 0.88 +
23 -0.2 -0.23 -0.24 -0.097 -0.00025 -0.31 0.33 0.27 0.043 -0.0012 -0.22 2 9.1e+03 8.8 0.031 0.03 -
24 -0.2 -0.23 -0.24 -0.097 -0.00025 -0.31 0.33 0.27 0.043 -0.0012 -0.22 2 9.1e+03 8.8 0.015 -0.14 -
25 -0.2 -0.23 -0.24 -0.097 -0.00025 -0.31 0.33 0.27 0.043 -0.0012 -0.22 2 9.1e+03 8.8 0.0076 -0.29 -
26 -0.2 -0.23 -0.24 -0.097 -0.00025 -0.31 0.33 0.27 0.043 -0.0012 -0.22 2 9.1e+03 8.8 0.0038 -0.39 -
27 -0.2 -0.23 -0.24 -0.097 -0.00025 -0.31 0.33 0.27 0.043 -0.0012 -0.22 2 9.1e+03 8.8 0.0019 -0.45 -
28 -0.2 -0.23 -0.24 -0.097 -0.00025 -0.31 0.33 0.27 0.043 -0.0012 -0.22 2 9.1e+03 8.8 0.00095 -0.23 -
29 -0.2 -0.23 -0.24 -0.096 0.0007 -0.31 0.33 0.27 0.042 -0.00027 -0.22 2 9.1e+03 3.9 0.00095 0.18 +
30 -0.2 -0.23 -0.24 -0.095 0.00041 -0.31 0.33 0.27 0.042 -0.0003 -0.22 2 9e+03 3.2 0.0095 1.7 ++
31 -0.2 -0.23 -0.24 -0.095 0.00041 -0.31 0.33 0.27 0.042 -0.0003 -0.22 2 9e+03 3.2 0.0048 -2.1 -
32 -0.2 -0.23 -0.24 -0.095 0.00041 -0.31 0.33 0.27 0.042 -0.0003 -0.22 2 9e+03 3.2 0.0024 -2.8 -
33 -0.2 -0.23 -0.24 -0.095 0.00041 -0.31 0.33 0.27 0.042 -0.0003 -0.22 2 9e+03 3.2 0.0012 -3.4 -
34 -0.2 -0.23 -0.24 -0.095 0.00041 -0.31 0.33 0.27 0.042 -0.0003 -0.22 2 9e+03 3.2 0.0006 -3.3 -
35 -0.2 -0.23 -0.24 -0.095 0.00041 -0.31 0.33 0.27 0.042 -0.0003 -0.22 2 9e+03 3.2 0.0003 -0.84 -
36 -0.2 -0.23 -0.24 -0.095 0.00011 -0.31 0.33 0.27 0.042 -0.0006 -0.22 2 9e+03 3.2 0.0003 0.4 +
37 -0.2 -0.23 -0.24 -0.095 0.00025 -0.31 0.33 0.27 0.042 -0.00064 -0.22 2 9e+03 1.8 0.0003 0.52 +
38 -0.2 -0.23 -0.24 -0.095 0.0002 -0.31 0.33 0.27 0.042 -0.00069 -0.22 2 9e+03 0.12 0.003 1.1 ++
39 -0.2 -0.23 -0.24 -0.093 0.00019 -0.32 0.33 0.27 0.041 -0.0012 -0.22 2 9e+03 0.13 0.03 0.99 ++
40 -0.21 -0.26 -0.24 -0.078 0.00023 -0.33 0.33 0.27 0.04 -0.0072 -0.23 2 9e+03 3.1 0.03 0.89 +
41 -0.22 -0.29 -0.24 -0.065 -4.6e-06 -0.35 0.32 0.28 0.032 -0.022 -0.23 2 9e+03 2.4 0.3 0.94 ++
42 -0.23 -0.55 -0.24 -0.0079 -0.00011 -0.59 0.17 0.28 -0.14 -0.32 -0.3 2.1 8.9e+03 12 0.3 0.23 +
43 -0.21 -0.67 -0.23 -0.13 0.00041 -0.71 -0.13 0.27 -0.061 -0.22 -0.31 2.2 8.8e+03 3.9 0.3 0.32 +
44 -0.074 -0.65 -0.21 0.17 -0.0014 -0.63 -0.38 0.26 -0.16 -0.29 -0.34 2.2 8.5e+03 11 0.3 0.59 +
45 -0.074 -0.65 -0.21 0.17 -0.0014 -0.63 -0.38 0.26 -0.16 -0.29 -0.34 2.2 8.5e+03 11 0.15 -4 -
46 -0.074 -0.65 -0.21 0.17 -0.0014 -0.63 -0.38 0.26 -0.16 -0.29 -0.34 2.2 8.5e+03 11 0.075 -1 -
47 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.075 0.28 +
48 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.037 -2.1 -
49 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.019 -2 -
50 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.0093 -1.9 -
51 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.0047 -1.7 -
52 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.0023 -1.1 -
53 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.0012 -0.75 -
54 -0.059 -0.61 -0.21 0.16 -0.0013 -0.63 -0.39 0.26 -0.2 -0.37 -0.32 2.2 8.5e+03 13 0.00058 -0.36 -
55 -0.06 -0.62 -0.21 0.16 -0.00069 -0.63 -0.39 0.26 -0.2 -0.37 -0.31 2.2 8.5e+03 13 0.00058 0.29 +
56 -0.06 -0.62 -0.21 0.16 -0.00098 -0.63 -0.39 0.26 -0.2 -0.36 -0.31 2.2 8.5e+03 12 0.0058 0.9 ++
57 -0.063 -0.62 -0.21 0.16 -0.00085 -0.63 -0.4 0.26 -0.2 -0.36 -0.31 2.2 8.5e+03 12 0.0058 0.67 +
58 -0.066 -0.63 -0.22 0.17 -0.00094 -0.63 -0.4 0.26 -0.19 -0.36 -0.31 2.2 8.5e+03 5.3 0.0058 0.86 +
59 -0.07 -0.63 -0.22 0.17 -0.00093 -0.63 -0.4 0.26 -0.19 -0.35 -0.31 2.2 8.4e+03 0.89 0.058 0.96 ++
60 -0.084 -0.65 -0.22 0.19 -0.001 -0.62 -0.46 0.26 -0.19 -0.36 -0.28 2.2 8.4e+03 1 0.058 0.88 +
61 -0.089 -0.64 -0.22 0.19 -0.001 -0.61 -0.52 0.27 -0.2 -0.42 -0.25 2.2 8.4e+03 0.39 0.058 0.33 +
62 -0.12 -0.69 -0.21 0.2 -0.001 -0.6 -0.58 0.3 -0.2 -0.43 -0.22 2.2 8.4e+03 0.86 0.058 0.68 +
63 -0.13 -0.7 -0.19 0.15 -0.00084 -0.6 -0.64 0.35 -0.23 -0.43 -0.19 2.2 8.4e+03 0.6 0.058 0.77 +
64 -0.13 -0.7 -0.19 0.15 -0.00084 -0.6 -0.64 0.35 -0.23 -0.43 -0.19 2.2 8.4e+03 0.6 0.029 -0.091 -
65 -0.14 -0.72 -0.19 0.17 -0.00091 -0.6 -0.63 0.36 -0.24 -0.46 -0.19 2.2 8.4e+03 0.14 0.029 0.63 +
66 -0.14 -0.73 -0.17 0.14 -0.00082 -0.6 -0.65 0.38 -0.25 -0.46 -0.18 2.2 8.4e+03 0.014 0.29 0.92 ++
67 -0.21 -0.9 -0.014 0.095 -0.00063 -0.61 -0.91 0.67 -0.43 -0.63 -0.062 2.3 8.4e+03 0.4 0.29 0.2 +
68 -0.21 -0.9 -0.014 0.095 -0.00063 -0.61 -0.91 0.67 -0.43 -0.63 -0.062 2.3 8.4e+03 0.4 0.15 -0.066 -
69 -0.22 -0.92 0.04 0.023 -0.00041 -0.62 -1.1 0.76 -0.43 -0.58 -0.017 2.3 8.3e+03 10 0.15 0.25 +
70 -0.22 -0.92 0.04 0.023 -0.00041 -0.62 -1.1 0.76 -0.43 -0.58 -0.017 2.3 8.3e+03 10 0.073 -0.28 -
71 -0.24 -0.94 0.038 0.095 -0.00064 -0.61 -1.1 0.77 -0.44 -0.59 -0.0065 2.3 8.3e+03 2.7 0.073 0.75 +
72 -0.24 -0.94 0.038 0.095 -0.00064 -0.61 -1.1 0.77 -0.44 -0.59 -0.0065 2.3 8.3e+03 2.7 0.036 -0.011 -
73 -0.24 -0.95 0.035 0.059 -0.00045 -0.61 -1 0.78 -0.44 -0.62 0.0071 2.3 8.3e+03 8.6 0.036 0.47 +
74 -0.26 -0.98 0.03 0.03 -0.00037 -0.6 -1 0.79 -0.43 -0.63 0.043 2.3 8.3e+03 3 0.036 0.59 +
75 -0.24 -0.99 0.041 0.052 -0.00045 -0.61 -1.1 0.79 -0.43 -0.65 0.053 2.3 8.3e+03 0.44 0.036 0.83 +
76 -0.24 -0.99 0.041 0.052 -0.00045 -0.61 -1.1 0.79 -0.43 -0.65 0.053 2.3 8.3e+03 0.44 0.018 -1 -
77 -0.24 -0.99 0.044 0.034 -0.00039 -0.61 -1.1 0.8 -0.43 -0.64 0.057 2.3 8.3e+03 3.7 0.018 0.29 +
78 -0.24 -1 0.049 0.036 -0.00038 -0.6 -1.1 0.8 -0.43 -0.66 0.061 2.3 8.3e+03 0.58 0.018 0.87 +
79 -0.24 -1 0.055 0.024 -0.00034 -0.61 -1.1 0.81 -0.43 -0.66 0.067 2.3 8.3e+03 0.91 0.18 0.95 ++
80 -0.16 -1.2 0.13 0.015 -0.0003 -0.6 -1.3 0.89 -0.44 -0.78 0.12 2.4 8.3e+03 0.97 0.18 0.53 +
81 -0.16 -1.2 0.13 0.015 -0.0003 -0.6 -1.3 0.89 -0.44 -0.78 0.12 2.4 8.3e+03 0.97 0.091 -0.6 -
82 -0.19 -1.2 0.14 -0.05 -2.1e-05 -0.59 -1.2 0.93 -0.44 -0.83 0.13 2.4 8.3e+03 4.1 0.091 0.32 +
83 -0.19 -1.2 0.14 -0.05 -2.1e-05 -0.59 -1.2 0.93 -0.44 -0.83 0.13 2.4 8.3e+03 4.1 0.045 -0.051 -
84 -0.19 -1.2 0.14 -0.05 -2.1e-05 -0.59 -1.2 0.93 -0.44 -0.83 0.13 2.4 8.3e+03 4.1 0.023 -0.4 -
85 -0.19 -1.2 0.14 -0.035 -0.00013 -0.6 -1.3 0.92 -0.42 -0.8 0.13 2.4 8.3e+03 9 0.023 0.21 +
86 -0.17 -1.2 0.14 -0.015 -0.00016 -0.6 -1.3 0.93 -0.43 -0.82 0.13 2.4 8.3e+03 5.1 0.023 0.73 +
87 -0.16 -1.3 0.14 -0.037 -9.2e-05 -0.6 -1.3 0.93 -0.43 -0.82 0.13 2.4 8.3e+03 3.3 0.023 0.47 +
88 -0.16 -1.3 0.14 -0.032 -0.00011 -0.59 -1.3 0.94 -0.44 -0.84 0.14 2.4 8.3e+03 2.2 0.23 0.99 ++
89 -0.081 -1.5 0.16 -0.091 0.00013 -0.59 -1.6 1 -0.44 -1 0.14 2.5 8.3e+03 13 0.23 0.34 +
90 -0.081 -1.5 0.16 -0.091 0.00013 -0.59 -1.6 1 -0.44 -1 0.14 2.5 8.3e+03 13 0.11 -0.2 -
91 -0.081 -1.5 0.16 -0.091 0.00013 -0.59 -1.6 1 -0.44 -1 0.14 2.5 8.3e+03 13 0.057 0.034 -
92 -0.051 -1.5 0.16 -0.045 -7.3e-05 -0.6 -1.6 1 -0.43 -1 0.14 2.5 8.3e+03 9.1 0.057 0.12 +
93 -0.094 -1.5 0.21 -0.075 0.0001 -0.57 -1.6 1 -0.37 -1.1 0.17 2.5 8.3e+03 18 0.057 0.52 +
94 -0.094 -1.5 0.21 -0.075 0.0001 -0.57 -1.6 1 -0.37 -1.1 0.17 2.5 8.3e+03 18 0.028 0.028 -
95 -0.086 -1.6 0.21 -0.089 0.00012 -0.57 -1.6 1 -0.39 -1.1 0.17 2.5 8.3e+03 14 0.028 0.41 +
96 -0.057 -1.6 0.21 -0.076 7e-05 -0.59 -1.6 1 -0.4 -1.1 0.17 2.5 8.3e+03 5.6 0.028 0.81 +
97 -0.058 -1.6 0.2 -0.081 0.00011 -0.59 -1.6 1 -0.41 -1.1 0.17 2.5 8.3e+03 6.6 0.028 0.66 +
98 -0.03 -1.6 0.2 -0.082 0.00011 -0.59 -1.7 1 -0.43 -1.1 0.17 2.5 8.3e+03 4.3 0.028 0.59 +
99 -0.033 -1.7 0.2 -0.087 0.00012 -0.59 -1.7 1 -0.43 -1.1 0.17 2.5 8.2e+03 1.7 0.28 0.99 ++
100 -0.033 -1.7 0.2 -0.087 0.00012 -0.59 -1.7 1 -0.43 -1.1 0.17 2.5 8.2e+03 1.7 0.14 -0.32 -
101 0.027 -1.8 0.19 -0.099 0.00018 -0.58 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 8.7 0.14 0.78 +
102 0.027 -1.8 0.19 -0.099 0.00018 -0.58 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 8.7 0.071 -0.63 -
103 0.027 -1.8 0.19 -0.099 0.00018 -0.58 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 8.7 0.036 -0.5 -
104 0.027 -1.8 0.19 -0.099 0.00018 -0.58 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 8.7 0.018 -0.6 -
105 0.027 -1.8 0.19 -0.099 0.00018 -0.58 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 8.7 0.0089 -0.41 -
106 0.031 -1.8 0.19 -0.09 0.00013 -0.58 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 9.1 0.0089 0.2 +
107 0.03 -1.8 0.19 -0.095 0.00016 -0.59 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 1.1 0.089 0.99 ++
108 0.03 -1.8 0.19 -0.095 0.00016 -0.59 -1.8 1 -0.42 -1.2 0.14 2.5 8.2e+03 1.1 0.044 -0.07 -
109 0.046 -1.8 0.19 -0.097 0.00017 -0.6 -1.8 1 -0.43 -1.2 0.13 2.5 8.2e+03 2.7 0.044 0.6 +
110 0.079 -1.9 0.18 -0.097 0.00017 -0.6 -1.9 1 -0.43 -1.2 0.13 2.5 8.2e+03 0.67 0.044 0.83 +
111 0.075 -1.9 0.17 -0.1 0.00018 -0.59 -1.9 1 -0.41 -1.3 0.12 2.5 8.2e+03 0.34 0.044 0.37 +
112 0.084 -1.9 0.17 -0.099 0.00017 -0.63 -1.9 0.99 -0.4 -1.3 0.11 2.4 8.2e+03 0.086 0.044 0.12 +
113 0.084 -1.9 0.17 -0.099 0.00017 -0.63 -1.9 0.99 -0.4 -1.3 0.11 2.4 8.2e+03 0.086 0.022 0.064 -
114 0.088 -1.9 0.17 -0.099 0.00018 -0.61 -1.9 0.99 -0.41 -1.3 0.11 2.4 8.2e+03 2.8 0.22 0.95 ++
115 0.088 -1.9 0.17 -0.099 0.00018 -0.61 -1.9 0.99 -0.41 -1.3 0.11 2.4 8.2e+03 2.8 0.11 -6.9 -
116 0.088 -1.9 0.17 -0.099 0.00018 -0.61 -1.9 0.99 -0.41 -1.3 0.11 2.4 8.2e+03 2.8 0.056 -5.7 -
117 0.088 -1.9 0.17 -0.099 0.00018 -0.61 -1.9 0.99 -0.41 -1.3 0.11 2.4 8.2e+03 2.8 0.028 -4.3 -
118 0.088 -1.9 0.17 -0.099 0.00018 -0.61 -1.9 0.99 -0.41 -1.3 0.11 2.4 8.2e+03 2.8 0.014 -1.7 -
119 0.088 -1.9 0.17 -0.099 0.00018 -0.61 -1.9 0.99 -0.41 -1.3 0.11 2.4 8.2e+03 2.8 0.0069 -0.22 -
120 0.094 -1.9 0.17 -0.1 0.00018 -0.61 -1.9 0.99 -0.41 -1.3 0.1 2.4 8.2e+03 0.47 0.0069 0.33 +
121 0.097 -1.9 0.17 -0.099 0.00017 -0.61 -1.9 0.98 -0.41 -1.3 0.1 2.4 8.2e+03 0.091 0.0069 0.9 +
122 0.1 -2 0.16 -0.1 0.00018 -0.61 -1.9 0.98 -0.41 -1.3 0.1 2.4 8.2e+03 1.5 0.069 0.95 ++
123 0.15 -2 0.15 -0.1 0.00018 -0.61 -2 0.95 -0.42 -1.3 0.089 2.4 8.2e+03 2.6 0.069 0.25 +
124 0.15 -2 0.15 -0.1 0.00018 -0.61 -2 0.95 -0.42 -1.3 0.089 2.4 8.2e+03 2.6 0.035 -0.61 -
125 0.12 -2 0.15 -0.1 0.00019 -0.62 -2 0.95 -0.39 -1.3 0.072 2.3 8.2e+03 0.87 0.035 0.45 +
126 0.12 -2 0.15 -0.1 0.00019 -0.62 -2 0.95 -0.39 -1.3 0.072 2.3 8.2e+03 0.87 0.017 -0.042 -
127 0.14 -2 0.13 -0.1 0.00018 -0.63 -2 0.95 -0.4 -1.3 0.064 2.3 8.2e+03 0.41 0.017 0.26 +
128 0.14 -2 0.13 -0.1 0.00018 -0.62 -2 0.94 -0.4 -1.3 0.064 2.3 8.2e+03 0.3 0.017 0.68 +
129 0.14 -2 0.13 -0.1 0.00019 -0.62 -2 0.92 -0.4 -1.3 0.063 2.3 8.2e+03 1 0.017 0.62 +
130 0.15 -2.1 0.13 -0.1 0.00018 -0.62 -2 0.92 -0.4 -1.3 0.046 2.3 8.2e+03 1.1 0.017 0.37 +
131 0.15 -2.1 0.11 -0.1 0.00018 -0.63 -2 0.91 -0.4 -1.3 0.049 2.3 8.2e+03 0.65 0.017 0.22 +
132 0.15 -2.1 0.11 -0.1 0.00018 -0.63 -2 0.91 -0.4 -1.3 0.049 2.3 8.2e+03 0.65 0.0087 -1.2 -
133 0.15 -2.1 0.12 -0.1 0.00018 -0.62 -2 0.91 -0.4 -1.4 0.04 2.3 8.2e+03 0.0021 0.0087 0.76 +
134 0.15 -2.1 0.12 -0.1 0.00018 -0.62 -2 0.91 -0.4 -1.4 0.04 2.3 8.2e+03 0.0021 0.0043 -0.81 -
135 0.15 -2.1 0.11 -0.1 0.00018 -0.62 -2 0.91 -0.4 -1.4 0.043 2.3 8.2e+03 0.56 0.0043 0.6 +
136 0.15 -2.1 0.11 -0.1 0.00019 -0.62 -2 0.9 -0.4 -1.4 0.039 2.3 8.2e+03 0.53 0.0043 0.12 +
137 0.15 -2.1 0.11 -0.1 0.00019 -0.62 -2 0.9 -0.4 -1.4 0.039 2.3 8.2e+03 0.53 0.0022 -0.0013 -
138 0.15 -2.1 0.11 -0.1 0.00018 -0.62 -2 0.9 -0.4 -1.4 0.037 2.3 8.2e+03 0.11 0.0022 0.5 +
139 0.15 -2.1 0.11 -0.1 0.00019 -0.62 -2 0.9 -0.4 -1.4 0.037 2.3 8.2e+03 0.22 0.0022 0.84 +
140 0.15 -2.1 0.11 -0.1 0.00018 -0.62 -2 0.9 -0.4 -1.4 0.035 2.3 8.2e+03 0.075 0.0022 0.89 +
141 0.15 -2.1 0.11 -0.1 0.00018 -0.62 -2 0.89 -0.4 -1.4 0.033 2.3 8.2e+03 0.015 0.022 0.91 ++
142 0.16 -2.1 0.093 -0.1 0.00019 -0.62 -2 0.87 -0.4 -1.4 0.018 2.3 8.2e+03 0.092 0.022 0.88 +
143 0.16 -2.1 0.093 -0.1 0.00019 -0.62 -2 0.87 -0.4 -1.4 0.018 2.3 8.2e+03 0.092 0.011 -1.3 -
144 0.16 -2.1 0.093 -0.1 0.00019 -0.62 -2 0.87 -0.4 -1.4 0.018 2.3 8.2e+03 0.092 0.0054 -1.9 -
145 0.16 -2.1 0.093 -0.1 0.00019 -0.62 -2 0.87 -0.4 -1.4 0.018 2.3 8.2e+03 0.092 0.0027 -0.4 -
146 0.16 -2.1 0.093 -0.1 0.00019 -0.62 -2 0.87 -0.4 -1.4 0.018 2.3 8.2e+03 0.092 0.0014 -0.0087 -
147 0.16 -2.1 0.093 -0.1 0.00018 -0.62 -2 0.87 -0.4 -1.4 0.017 2.3 8.2e+03 0.3 0.0014 0.4 +
148 0.16 -2.1 0.093 -0.1 0.00019 -0.62 -2 0.87 -0.4 -1.4 0.016 2.3 8.2e+03 0.065 0.014 0.9 ++
149 0.16 -2.1 0.093 -0.1 0.00019 -0.62 -2 0.87 -0.4 -1.4 0.016 2.3 8.2e+03 0.065 0.0068 0.02 -
150 0.16 -2.1 0.087 -0.1 0.00019 -0.63 -2 0.86 -0.4 -1.4 0.013 2.3 8.2e+03 0.064 0.0068 0.38 +
151 0.16 -2.1 0.087 -0.1 0.00019 -0.63 -2 0.86 -0.4 -1.4 0.006 2.3 8.2e+03 0.15 0.0068 0.59 +
152 0.15 -2.1 0.082 -0.1 0.00018 -0.62 -2 0.85 -0.39 -1.4 0.003 2.3 8.2e+03 0.17 0.0068 0.18 +
153 0.15 -2.1 0.082 -0.1 0.00018 -0.62 -2 0.85 -0.39 -1.4 0.003 2.3 8.2e+03 0.17 0.0034 -1 -
154 0.16 -2.1 0.081 -0.1 0.00019 -0.62 -2 0.85 -0.4 -1.4 0.0024 2.3 8.2e+03 0.13 0.0034 0.72 +
155 0.16 -2.1 0.078 -0.1 0.00019 -0.62 -2 0.85 -0.4 -1.4 0.00015 2.3 8.2e+03 0.025 0.0034 0.69 +
156 0.16 -2.1 0.079 -0.1 0.00019 -0.62 -2 0.85 -0.4 -1.4 -0.0027 2.3 8.2e+03 0.2 0.0034 0.21 +
157 0.16 -2.1 0.079 -0.1 0.00019 -0.62 -2 0.85 -0.4 -1.4 -0.0027 2.3 8.2e+03 0.2 0.0017 -0.019 -
158 0.16 -2.1 0.077 -0.1 0.00019 -0.62 -2 0.85 -0.4 -1.4 -0.0019 2.3 8.2e+03 0.082 0.0017 0.84 +
159 0.16 -2.1 0.077 -0.1 0.00019 -0.62 -2 0.85 -0.4 -1.4 -0.0019 2.3 8.2e+03 0.082 0.00085 0.015 -
160 0.16 -2.1 0.077 -0.1 0.00019 -0.62 -2 0.85 -0.4 -1.4 -0.0027 2.3 8.2e+03 0.0062 0.00085 0.34 +
161 0.16 -2.1 0.076 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0034 2.3 8.2e+03 0.049 0.00085 0.66 +
162 0.16 -2.1 0.076 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0036 2.3 8.2e+03 0.021 0.0085 0.91 ++
163 0.16 -2.1 0.076 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0036 2.3 8.2e+03 0.021 0.0042 -0.36 -
164 0.16 -2.1 0.074 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0052 2.3 8.2e+03 0.032 0.0042 0.26 +
165 0.16 -2.1 0.074 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0052 2.3 8.2e+03 0.032 0.0021 -1.1 -
166 0.16 -2.1 0.073 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0073 2.3 8.2e+03 0.072 0.0021 0.57 +
167 0.16 -2.1 0.073 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0073 2.3 8.2e+03 0.072 0.0011 -0.84 -
168 0.16 -2.1 0.073 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0069 2.3 8.2e+03 0.051 0.0011 0.15 +
169 0.16 -2.1 0.072 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0073 2.3 8.2e+03 0.013 0.0011 0.43 +
170 0.16 -2.1 0.072 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0081 2.3 8.2e+03 0.048 0.0011 0.47 +
171 0.16 -2.1 0.072 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0092 2.3 8.2e+03 0.021 0.0011 0.6 +
172 0.16 -2.1 0.071 -0.1 0.00019 -0.62 -2 0.84 -0.4 -1.4 -0.0097 2.3 8.2e+03 0.0028 0.0011 0.74 +
173 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0012 0.0011 0.75 +
174 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0012 0.00053 -1.3 -
175 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0083 0.00053 0.23 +
176 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0042 0.00053 0.59 +
177 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0042 0.00026 -0.65 -
178 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.008 0.00026 0.47 +
179 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0012 0.00026 0.55 +
180 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0012 0.00013 -0.83 -
181 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0012 6.6e-05 0.04 -
182 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0046 6.6e-05 0.23 +
183 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0013 6.6e-05 0.75 +
184 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0015 6.6e-05 0.69 +
185 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.00097 6.6e-05 0.64 +
186 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.0002 6.6e-05 0.87 +
187 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.00018 6.6e-05 0.9 +
188 0.16 -2.1 0.07 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 5.6e-05 6.6e-05 0.9 +
189 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.011 2.3 8.2e+03 0.00029 6.6e-05 0.73 +
190 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 5.9e-05 6.6e-05 0.87 +
191 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.002 0.00066 0.94 ++
192 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00031 0.00066 0.33 +
193 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00031 1.5e-05 -0.25 -
194 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00034 1.5e-05 0.83 +
195 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00034 7.5e-06 -0.95 -
196 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00034 7.5e-06 0.43 +
197 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00034 7.5e-06 0.15 +
198 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00034 3.7e-06 -0.61 -
199 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.00034 1.9e-06 -0.07 -
200 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 0.0001 1.9e-06 0.61 +
201 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 7.5e-06 1.9e-05 0.97 ++
202 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 7.5e-06 9.3e-06 -0.7 -
203 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 7.5e-06 4.7e-06 -0.063 -
204 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 6.1e-05 4.7e-06 0.45 +
205 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 2e-05 4.7e-06 0.77 +
206 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 1.6e-05 4.7e-06 0.86 +
207 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 1.6e-05 2.1e-06 -0.44 -
208 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 8.4e-06 2.1e-06 0.49 +
209 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 8.4e-06 1e-06 -1.6 -
210 0.16 -2.1 0.069 -0.1 0.00019 -0.62 -2 0.83 -0.4 -1.4 -0.012 2.3 8.2e+03 3.2e-06 1e-06 0.31 -
Considering neighbor 2/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:nested existing;train_tt_catalog:power [8238.082251887885, 12]
Attempt 10/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000013
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di square_tt_coef cube_tt_coef b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car b_time_car_ref b_time_car_diff b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.91 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.2 -
2 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.25 0.4 +
3 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.12 0.4 -
4 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.062 0.4 -
5 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.031 0.4 -
6 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.016 0.4 -
7 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.0078 -2.5 -
8 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.0039 -2.1 -
9 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.002 -1.6 -
10 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.00098 -0.9 -
11 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 5 0.00049 -0.28 -
12 -0.25 -0.25 -0.25 -0.00049 -0.00049 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.3 9.6e+03 3.8 0.00049 0.36 +
13 -0.25 -0.25 -0.25 -0.0008 -0.00027 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.3 9.6e+03 1.2 0.0049 1.2 ++
14 -0.25 -0.25 -0.25 -0.0039 -0.00031 -0.25 0.25 0.25 0.24 0.25 -0.25 -0.25 -0.25 1.3 9.5e+03 1.6 0.049 0.96 ++
15 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.049 0.72 +
16 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.024 -0.53 -
17 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.012 -0.47 -
18 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.0061 -0.59 -
19 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.0031 -0.82 -
20 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.0015 -1.1 -
21 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.00076 -1.3 -
22 -0.25 -0.25 -0.25 -0.035 0.00016 -0.26 0.21 0.25 0.2 0.27 -0.21 -0.25 -0.23 1.3 9.4e+03 4.2 0.00038 -0.35 -
23 -0.25 -0.25 -0.25 -0.035 -0.00022 -0.26 0.21 0.25 0.19 0.27 -0.21 -0.25 -0.22 1.3 9.4e+03 3.2 0.00038 0.68 +
24 -0.25 -0.25 -0.25 -0.035 -5.3e-05 -0.26 0.21 0.25 0.19 0.27 -0.21 -0.25 -0.22 1.3 9.4e+03 3.3 0.00038 0.21 +
25 -0.25 -0.25 -0.25 -0.036 -0.00014 -0.26 0.21 0.25 0.19 0.27 -0.21 -0.25 -0.22 1.3 9.4e+03 0.098 0.0038 1.1 ++
26 -0.25 -0.25 -0.25 -0.037 -0.00011 -0.26 0.2 0.25 0.19 0.27 -0.21 -0.25 -0.22 1.3 9.4e+03 1.1 0.038 0.98 ++
27 -0.25 -0.26 -0.25 -0.05 -0.00024 -0.27 0.18 0.25 0.15 0.28 -0.2 -0.25 -0.21 1.3 9.3e+03 4.8 0.038 0.78 +
28 -0.25 -0.28 -0.25 -0.05 -0.00013 -0.28 0.15 0.25 0.11 0.29 -0.19 -0.25 -0.2 1.3 9.2e+03 2.9 0.38 1 ++
29 -0.28 -0.49 -0.26 0.049 -0.00029 -0.51 -0.1 0.25 -0.27 0.22 -0.28 -0.31 -0.22 1.3 9e+03 4.3 0.38 0.72 +
30 -0.24 -0.6 -0.26 0.25 -0.0015 -0.74 -0.32 0.26 -0.51 -0.024 -0.67 -0.38 -0.4 1.3 8.9e+03 7.5 0.38 0.24 +
31 -0.24 -0.6 -0.26 0.25 -0.0015 -0.74 -0.32 0.26 -0.51 -0.024 -0.67 -0.38 -0.4 1.3 8.9e+03 7.5 0.19 -1.5 -
32 -0.24 -0.6 -0.26 0.25 -0.0015 -0.74 -0.32 0.26 -0.51 -0.024 -0.67 -0.38 -0.4 1.3 8.9e+03 7.5 0.095 0.0061 -
33 -0.22 -0.56 -0.25 0.15 -0.00068 -0.74 -0.42 0.25 -0.56 0.0062 -0.58 -0.37 -0.37 1.3 8.6e+03 7.6 0.095 0.63 +
34 -0.24 -0.61 -0.25 0.2 -0.0011 -0.83 -0.47 0.25 -0.49 -0.022 -0.56 -0.35 -0.37 1.3 8.6e+03 5.5 0.095 0.59 +
35 -0.19 -0.54 -0.23 0.18 -0.001 -0.89 -0.56 0.25 -0.47 -0.081 -0.6 -0.34 -0.4 1.3 8.5e+03 3.7 0.095 0.45 +
36 -0.19 -0.54 -0.23 0.18 -0.001 -0.89 -0.56 0.25 -0.47 -0.081 -0.6 -0.34 -0.4 1.3 8.5e+03 3.7 0.048 -0.41 -
37 -0.21 -0.59 -0.23 0.19 -0.00089 -0.92 -0.57 0.25 -0.47 -0.078 -0.57 -0.33 -0.39 1.3 8.5e+03 8.2 0.048 0.42 +
38 -0.2 -0.6 -0.22 0.21 -0.0012 -0.97 -0.59 0.27 -0.47 -0.12 -0.59 -0.32 -0.41 1.3 8.5e+03 5.7 0.048 0.74 +
39 -0.2 -0.6 -0.22 0.21 -0.0012 -0.97 -0.59 0.27 -0.47 -0.12 -0.59 -0.32 -0.41 1.3 8.5e+03 5.7 0.024 -0.053 -
40 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.024 0.66 +
41 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.012 -2.6 -
42 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.006 -2.6 -
43 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.003 -2.9 -
44 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.0015 -3.2 -
45 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.00075 -3.4 -
46 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.00037 -3.5 -
47 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 0.00019 -2.5 -
48 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 9.3e-05 -1.6 -
49 -0.19 -0.58 -0.21 0.19 -0.0011 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.9 4.7e-05 -0.77 -
50 -0.19 -0.58 -0.21 0.19 -0.001 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 3.7 4.7e-05 0.12 +
51 -0.19 -0.58 -0.21 0.19 -0.001 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 0.42 0.00047 0.91 ++
52 -0.19 -0.58 -0.21 0.19 -0.001 -0.98 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 0.015 0.0047 1 ++
53 -0.19 -0.59 -0.21 0.19 -0.0011 -0.99 -0.61 0.28 -0.49 -0.13 -0.58 -0.31 -0.41 1.3 8.5e+03 0.33 0.047 0.98 ++
54 -0.19 -0.61 -0.21 0.2 -0.0011 -1 -0.63 0.3 -0.5 -0.17 -0.59 -0.3 -0.42 1.3 8.5e+03 0.019 0.47 0.99 ++
55 -0.11 -0.7 -0.1 0.11 -0.00075 -1.5 -0.92 0.51 -0.7 -0.52 -0.65 -0.16 -0.52 1.3 8.4e+03 3.3 0.47 0.54 +
56 -0.11 -0.7 -0.1 0.11 -0.00075 -1.5 -0.92 0.51 -0.7 -0.52 -0.65 -0.16 -0.52 1.3 8.4e+03 3.3 0.23 -8.6 -
57 -0.11 -0.7 -0.1 0.11 -0.00075 -1.5 -0.92 0.51 -0.7 -0.52 -0.65 -0.16 -0.52 1.3 8.4e+03 3.3 0.12 -3.2 -
58 -0.11 -0.7 -0.1 0.11 -0.00075 -1.5 -0.92 0.51 -0.7 -0.52 -0.65 -0.16 -0.52 1.3 8.4e+03 3.3 0.058 -1.1 -
59 -0.11 -0.7 -0.1 0.11 -0.00075 -1.5 -0.92 0.51 -0.7 -0.52 -0.65 -0.16 -0.52 1.3 8.4e+03 3.3 0.029 -0.32 -
60 -0.13 -0.73 -0.11 0.14 -0.00085 -1.5 -0.9 0.52 -0.69 -0.53 -0.67 -0.16 -0.53 1.3 8.4e+03 1.3 0.029 0.45 +
61 -0.13 -0.74 -0.1 0.12 -0.00077 -1.5 -0.91 0.53 -0.72 -0.53 -0.67 -0.15 -0.53 1.3 8.4e+03 0.17 0.029 0.88 +
62 -0.12 -0.74 -0.094 0.12 -0.00079 -1.5 -0.91 0.55 -0.72 -0.54 -0.7 -0.14 -0.54 1.3 8.4e+03 1.2 0.029 0.23 +
63 -0.12 -0.76 -0.085 0.12 -0.00075 -1.5 -0.93 0.56 -0.75 -0.54 -0.71 -0.12 -0.54 1.3 8.4e+03 0.26 0.029 0.88 +
64 -0.12 -0.76 -0.085 0.12 -0.00075 -1.5 -0.93 0.56 -0.75 -0.54 -0.71 -0.12 -0.54 1.3 8.4e+03 0.26 0.015 -0.084 -
65 -0.13 -0.77 -0.08 0.12 -0.00077 -1.5 -0.93 0.58 -0.75 -0.54 -0.72 -0.12 -0.54 1.3 8.4e+03 0.51 0.015 0.31 +
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110 0.23 -2.1 0.14 -0.092 0.00012 -1.9 -2.2 1.2 -0.78 -0.46 -1.7 0.22 -0.65 1 8.3e+03 2 0.093 0.76 +
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128 0.44 -2.5 -0.1 -0.11 0.00019 -1.9 -2.4 0.81 -0.8 -0.44 -1.9 -0.069 -0.65 1 8.3e+03 2.3 0.029 0.36 +
129 0.44 -2.5 -0.12 -0.1 0.00018 -1.9 -2.4 0.78 -0.79 -0.43 -1.9 -0.095 -0.65 1 8.3e+03 0.12 0.029 0.68 +
130 0.44 -2.5 -0.12 -0.1 0.00018 -1.9 -2.4 0.78 -0.79 -0.43 -1.9 -0.095 -0.65 1 8.3e+03 0.12 0.015 -0.12 -
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140 0.46 -2.5 -0.23 -0.11 0.00019 -1.9 -2.4 0.61 -0.79 -0.43 -1.9 -0.22 -0.65 1 8.3e+03 0.19 0.0091 0.28 +
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144 0.45 -2.5 -0.25 -0.1 0.00019 -1.9 -2.4 0.59 -0.79 -0.43 -1.9 -0.23 -0.65 1 8.3e+03 0.072 0.0091 0.15 +
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149 0.45 -2.5 -0.25 -0.11 0.00019 -1.9 -2.4 0.58 -0.8 -0.43 -1.9 -0.24 -0.65 1 8.3e+03 0.081 0.0045 0.88 +
150 0.45 -2.5 -0.25 -0.11 0.00019 -1.9 -2.4 0.57 -0.8 -0.43 -1.9 -0.25 -0.65 1 8.3e+03 0.046 0.045 0.97 ++
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156 0.45 -2.5 -0.26 -0.11 0.00019 -1.9 -2.4 0.56 -0.8 -0.43 -1.9 -0.26 -0.66 1 8.3e+03 0.029 0.0057 0.38 +
157 0.45 -2.5 -0.26 -0.11 0.00019 -1.9 -2.4 0.56 -0.8 -0.43 -1.9 -0.26 -0.66 1 8.3e+03 0.029 0.0028 -0.067 -
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159 0.45 -2.5 -0.26 -0.11 0.00019 -1.9 -2.4 0.56 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.003 0.0028 0.88 +
160 0.45 -2.5 -0.26 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.018 0.0028 0.41 +
161 0.45 -2.5 -0.26 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.018 0.0014 -0.3 -
162 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0041 0.0014 0.38 +
163 0.45 -2.5 -0.26 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0024 0.0014 0.53 +
164 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0053 0.0014 0.4 +
165 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0053 0.00071 -0.16 -
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167 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0012 0.00071 0.26 +
168 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0049 0.00071 0.72 +
169 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0049 0.00035 -0.79 -
170 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00039 0.00035 0.27 +
171 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 8.3e-05 0.00035 0.78 +
172 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0014 0.00035 0.15 +
173 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0014 0.00018 0.03 -
174 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00041 0.0018 0.91 ++
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176 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00041 0.00042 -2.3 -
177 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00041 0.00021 -0.57 -
178 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00055 0.00021 0.49 +
179 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0013 0.00021 0.45 +
180 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00054 0.00021 0.46 +
181 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00054 0.0001 -0.81 -
182 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00031 0.0001 0.56 +
183 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00031 5.2e-05 -0.48 -
184 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0016 5.2e-05 0.64 +
185 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.0016 2.6e-05 -0.4 -
186 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 4.2e-05 2.6e-05 0.74 +
187 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00015 2.6e-05 0.82 +
188 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 5e-05 2.6e-05 0.8 +
189 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 2e-05 2.6e-05 0.8 +
190 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 2e-05 1.3e-05 -0.029 -
191 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00029 1.3e-05 0.73 +
192 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00017 1.3e-05 0.22 +
193 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00013 0.00013 0.9 ++
194 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00013 3.6e-05 -4 -
195 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00013 1.8e-05 -2.9 -
196 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 0.00013 9e-06 -0.62 -
197 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 8e-05 9e-06 0.13 +
198 0.45 -2.5 -0.27 -0.11 0.00019 -1.9 -2.4 0.55 -0.8 -0.43 -1.9 -0.26 -0.65 1 8.3e+03 1e-06 9e-06 0.96 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000014
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di lambda_travel_t b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car b_time_car_ref b_time_car_diff b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 1 0 0 0 0 0 0 0 0 1 1.1e+04 0.22 0.5 -0.4 -
1 -0.5 -0.5 -0.5 1 -0.5 -0.5 -0.5 0.5 0.5 -0.5 -0.5 -0.5 1.5 9.8e+03 0.22 0.5 0.24 +
2 -0.042 -0.39 -0.5 0.91 -0.28 -0.56 -0.49 0 0.62 -0.29 -0.47 -0.26 1 9.7e+03 0.13 0.5 0.24 +
3 -0.22 -0.6 -0.52 0.9 -0.51 -0.66 -0.5 0.21 0.41 -0.38 -0.47 -0.45 1 9e+03 0.063 5 0.91 ++
4 -0.22 -0.6 -0.52 0.9 -0.51 -0.66 -0.5 0.21 0.41 -0.38 -0.47 -0.45 1 9e+03 0.063 2.5 -7.2 -
5 -0.22 -0.6 -0.52 0.9 -0.51 -0.66 -0.5 0.21 0.41 -0.38 -0.47 -0.45 1 9e+03 0.063 1.2 -4.7 -
6 -0.22 -0.6 -0.52 0.9 -0.51 -0.66 -0.5 0.21 0.41 -0.38 -0.47 -0.45 1 9e+03 0.063 0.62 -2.9 -
7 -0.22 -0.6 -0.52 0.9 -0.51 -0.66 -0.5 0.21 0.41 -0.38 -0.47 -0.45 1 9e+03 0.063 0.31 -1.4 -
8 -0.22 -0.6 -0.52 0.9 -0.51 -0.66 -0.5 0.21 0.41 -0.38 -0.47 -0.45 1 9e+03 0.063 0.16 -0.91 -
9 -0.37 -0.75 -0.57 0.86 -0.67 -0.82 -0.53 0.056 0.45 -0.32 -0.44 -0.29 1.2 9e+03 0.074 0.16 0.11 +
10 -0.26 -0.75 -0.57 0.83 -0.64 -0.83 -0.53 0.062 0.29 -0.47 -0.45 -0.45 1 8.8e+03 0.055 1.6 0.91 ++
11 -0.26 -0.75 -0.57 0.83 -0.64 -0.83 -0.53 0.062 0.29 -0.47 -0.45 -0.45 1 8.8e+03 0.055 0.78 -0.4 -
12 -0.29 -1.1 -0.6 0.74 -0.92 -1 -0.53 -0.72 0.042 -0.64 -0.43 -0.63 1.2 8.7e+03 0.11 0.78 0.25 +
13 -0.29 -1.1 -0.6 0.74 -0.92 -1 -0.53 -0.72 0.042 -0.64 -0.43 -0.63 1.2 8.7e+03 0.11 0.39 -1.6 -
14 -0.29 -1.1 -0.6 0.74 -0.92 -1 -0.53 -0.72 0.042 -0.64 -0.43 -0.63 1.2 8.7e+03 0.11 0.2 -0.45 -
15 -0.29 -1.1 -0.6 0.74 -0.92 -1 -0.53 -0.72 0.042 -0.64 -0.43 -0.63 1.2 8.7e+03 0.11 0.098 -0.28 -
16 -0.38 -1.2 -0.7 0.84 -1 -1.1 -0.63 -0.62 -0.055 -0.74 -0.53 -0.73 1.3 8.5e+03 0.036 0.098 0.5 +
17 -0.38 -1.2 -0.7 0.84 -1 -1.1 -0.63 -0.62 -0.055 -0.74 -0.53 -0.73 1.3 8.5e+03 0.036 0.049 0.0022 -
18 -0.34 -1.1 -0.7 0.79 -1 -1.1 -0.6 -0.65 -0.1 -0.79 -0.51 -0.78 1.2 8.5e+03 0.016 0.049 0.52 +
19 -0.29 -1.2 -0.7 0.74 -1.1 -1.1 -0.55 -0.67 -0.055 -0.74 -0.47 -0.73 1.2 8.5e+03 0.031 0.049 0.38 +
20 -0.27 -1.2 -0.7 0.73 -1.1 -1.1 -0.55 -0.62 -0.1 -0.77 -0.46 -0.77 1.2 8.5e+03 0.013 0.049 0.79 +
21 -0.22 -1.2 -0.7 0.7 -1.2 -1.1 -0.54 -0.64 -0.082 -0.77 -0.46 -0.74 1.2 8.5e+03 0.013 0.49 0.92 ++
22 0.19 -1.5 -0.71 0.44 -1.6 -1.2 -0.51 -0.54 -0.15 -0.94 -0.41 -0.72 1.1 8.4e+03 0.056 0.49 0.17 +
23 0.19 -1.5 -0.71 0.44 -1.6 -1.2 -0.51 -0.54 -0.15 -0.94 -0.41 -0.72 1.1 8.4e+03 0.056 0.24 -0.3 -
24 0.19 -1.5 -0.71 0.44 -1.6 -1.2 -0.51 -0.54 -0.15 -0.94 -0.41 -0.72 1.1 8.4e+03 0.056 0.12 -0.0088 -
25 0.17 -1.5 -0.71 0.42 -1.6 -1.2 -0.52 -0.66 -0.031 -0.9 -0.4 -0.6 1.1 8.4e+03 0.031 0.12 0.28 +
26 0.17 -1.5 -0.71 0.36 -1.6 -1.3 -0.54 -0.71 -0.12 -1 -0.4 -0.72 1.1 8.4e+03 0.012 0.12 0.77 +
27 0.17 -1.6 -0.72 0.35 -1.7 -1.3 -0.56 -0.76 -0.088 -1.1 -0.4 -0.75 1.2 8.4e+03 0.0096 0.12 0.52 +
28 0.3 -1.7 -0.72 0.32 -1.7 -1.4 -0.58 -0.81 -0.078 -1.2 -0.38 -0.75 1.1 8.3e+03 0.017 0.12 0.3 +
29 0.34 -1.8 -0.73 0.24 -1.8 -1.5 -0.62 -0.76 -0.054 -1.2 -0.35 -0.71 1.1 8.3e+03 0.0054 0.12 0.67 +
30 0.33 -2 -0.74 0.25 -1.8 -1.4 -0.63 -0.76 0.01 -1.3 -0.34 -0.75 1.1 8.3e+03 0.0094 0.12 0.48 +
31 0.31 -2 -0.74 0.18 -1.8 -1.5 -0.66 -0.77 -0.0049 -1.3 -0.33 -0.75 1 8.3e+03 0.01 0.12 0.39 +
32 0.31 -2 -0.74 0.18 -1.8 -1.5 -0.66 -0.77 -0.0049 -1.3 -0.33 -0.75 1 8.3e+03 0.01 0.061 -4.9 -
33 0.31 -2 -0.74 0.18 -1.8 -1.5 -0.66 -0.77 -0.0049 -1.3 -0.33 -0.75 1 8.3e+03 0.01 0.031 -1.5 -
34 0.29 -2 -0.74 0.2 -1.8 -1.5 -0.66 -0.75 0.024 -1.3 -0.33 -0.74 1 8.3e+03 0.0065 0.031 0.28 +
35 0.31 -2 -0.74 0.2 -1.8 -1.5 -0.66 -0.75 0.019 -1.3 -0.33 -0.75 1 8.3e+03 0.0054 0.31 0.94 ++
36 0.31 -2.1 -0.74 0.2 -1.9 -1.5 -0.66 -0.75 0.035 -1.3 -0.33 -0.74 1 8.3e+03 0.0025 0.31 0.89 +
37 0.31 -2.1 -0.74 0.2 -1.9 -1.5 -0.66 -0.75 0.035 -1.3 -0.33 -0.74 1 8.3e+03 0.0025 0.15 -2.2 -
38 0.31 -2.1 -0.74 0.2 -1.9 -1.5 -0.66 -0.75 0.035 -1.3 -0.33 -0.74 1 8.3e+03 0.0025 0.076 -1.7 -
39 0.31 -2.1 -0.74 0.2 -1.9 -1.5 -0.66 -0.75 0.035 -1.3 -0.33 -0.74 1 8.3e+03 0.0025 0.038 -0.63 -
40 0.34 -2.1 -0.74 0.19 -1.9 -1.5 -0.67 -0.76 0.036 -1.4 -0.33 -0.75 1 8.3e+03 0.0042 0.038 0.64 +
41 0.34 -2.1 -0.75 0.19 -1.9 -1.5 -0.67 -0.75 0.034 -1.4 -0.32 -0.76 1 8.3e+03 0.0041 0.038 0.36 +
42 0.34 -2.1 -0.75 0.19 -1.9 -1.5 -0.68 -0.75 0.062 -1.4 -0.32 -0.76 1 8.3e+03 0.0029 0.038 0.4 +
43 0.38 -2.2 -0.75 0.15 -1.9 -1.6 -0.69 -0.77 0.058 -1.4 -0.32 -0.77 1 8.3e+03 0.0042 0.038 0.53 +
44 0.38 -2.2 -0.75 0.17 -1.9 -1.6 -0.69 -0.75 0.075 -1.4 -0.32 -0.78 1 8.3e+03 0.0031 0.038 0.44 +
45 0.38 -2.2 -0.75 0.13 -1.9 -1.6 -0.7 -0.76 0.081 -1.4 -0.31 -0.78 1 8.3e+03 0.0027 0.038 0.32 +
46 0.38 -2.2 -0.75 0.13 -1.9 -1.6 -0.7 -0.76 0.081 -1.4 -0.31 -0.78 1 8.3e+03 0.0027 0.019 -0.0059 -
47 0.4 -2.2 -0.75 0.14 -1.9 -1.6 -0.7 -0.76 0.079 -1.4 -0.31 -0.79 1 8.3e+03 0.0023 0.019 0.65 +
48 0.39 -2.2 -0.76 0.14 -1.9 -1.6 -0.71 -0.75 0.092 -1.4 -0.31 -0.79 1 8.3e+03 0.0018 0.019 0.4 +
49 0.41 -2.3 -0.76 0.13 -1.9 -1.6 -0.71 -0.76 0.096 -1.4 -0.31 -0.8 1 8.3e+03 0.0016 0.019 0.83 +
50 0.42 -2.3 -0.76 0.13 -1.9 -1.6 -0.71 -0.76 0.11 -1.4 -0.31 -0.8 1 8.3e+03 0.00099 0.019 0.75 +
51 0.42 -2.3 -0.76 0.11 -1.9 -1.6 -0.72 -0.76 0.11 -1.4 -0.3 -0.81 1 8.3e+03 0.00089 0.019 0.67 +
52 0.43 -2.3 -0.76 0.12 -1.9 -1.6 -0.72 -0.76 0.12 -1.4 -0.3 -0.81 1 8.3e+03 0.0006 0.019 0.76 +
53 0.44 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.3 -0.82 1 8.3e+03 0.00048 0.019 0.81 +
54 0.44 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.3 -0.82 1 8.3e+03 0.00048 0.0095 -4.7 -
55 0.44 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.77 0.13 -1.4 -0.3 -0.82 1 8.3e+03 0.00022 0.0095 0.54 +
56 0.44 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.77 0.13 -1.4 -0.3 -0.82 1 8.3e+03 0.00022 0.0048 -1.3 -
57 0.45 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 0.00016 0.0048 0.29 +
58 0.45 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 0.00016 0.0024 -0.61 -
59 0.45 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 0.00011 0.0024 0.66 +
60 0.45 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 0.00011 0.0012 -0.77 -
61 0.45 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 0.00011 0.0006 0.078 -
62 0.44 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 5.9e-05 0.0006 0.44 +
63 0.44 -2.3 -0.76 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 1.7e-05 0.0006 0.68 +
64 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 2.6e-05 0.0006 0.3 +
65 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 7.9e-06 0.0006 0.59 +
66 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 7.9e-06 0.0003 0.044 -
67 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 1.3e-05 0.0003 0.68 +
68 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 6.3e-06 0.0003 0.86 +
69 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 1.3e-05 0.0003 0.59 +
70 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 8.8e-06 0.0003 0.77 +
71 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 8.4e-06 0.0003 0.81 +
72 0.44 -2.3 -0.75 0.1 -1.9 -1.6 -0.73 -0.76 0.13 -1.4 -0.29 -0.82 1 8.3e+03 6e-06 0.0003 0.76 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000015
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.89 -
1 1.1e+04 0.4 0.25 -0.16 -
2 9.5e+03 0.097 0.25 0.43 +
3 9.5e+03 0.097 0.12 -0.31 -
4 9.2e+03 0.1 0.12 0.41 +
5 9.1e+03 0.07 0.12 0.54 +
6 8.9e+03 0.056 0.12 0.87 +
7 8.7e+03 0.049 0.12 0.78 +
8 8.7e+03 0.049 0.062 -0.0025 -
9 8.7e+03 0.052 0.062 0.55 +
10 8.6e+03 0.031 0.062 0.71 +
11 8.5e+03 0.043 0.062 0.78 +
12 8.5e+03 0.028 0.062 0.77 +
13 8.5e+03 0.034 0.62 0.91 ++
14 8.3e+03 0.064 0.62 0.25 +
15 8.3e+03 0.064 0.31 -8.4 -
16 8.3e+03 0.064 0.16 -1.8 -
17 8.3e+03 0.064 0.078 -1.1 -
18 8.3e+03 0.064 0.039 0.06 -
19 8.3e+03 0.023 0.039 0.62 +
20 8.2e+03 0.023 0.039 0.13 +
21 8.2e+03 0.013 0.039 0.83 +
22 8.2e+03 0.011 0.039 0.83 +
23 8.2e+03 0.014 0.039 0.67 +
24 8.2e+03 0.0082 0.039 0.75 +
25 8.2e+03 0.0083 0.039 0.78 +
26 8.2e+03 0.0065 0.039 0.77 +
27 8.2e+03 0.0063 0.039 0.77 +
28 8.2e+03 0.0034 0.039 0.89 +
29 8.2e+03 0.01 0.039 0.43 +
30 8.2e+03 0.0041 0.039 0.84 +
31 8.2e+03 0.0041 0.039 0.9 +
32 8.2e+03 0.0037 0.039 0.85 +
33 8.2e+03 0.007 0.039 0.66 +
34 8.2e+03 0.003 0.39 0.94 ++
35 8.2e+03 0.0089 0.39 0.55 +
36 8.2e+03 0.0089 0.2 -4.8 -
37 8.2e+03 0.0089 0.098 -1.1 -
38 8.2e+03 0.0034 0.098 0.27 +
39 8.2e+03 0.0084 0.098 0.58 +
40 8.2e+03 0.0084 0.049 -2.8 -
41 8.2e+03 0.0084 0.024 -1.4 -
42 8.2e+03 0.0084 0.012 -0.78 -
43 8.2e+03 0.0017 0.012 0.8 +
44 8.2e+03 0.0021 0.012 0.57 +
45 8.2e+03 0.0025 0.012 0.45 +
46 8.2e+03 0.00096 0.012 0.65 +
47 8.2e+03 0.00096 0.0061 0.05 -
48 8.2e+03 0.0011 0.0061 0.67 +
49 8.2e+03 0.0011 0.0061 0.68 +
50 8.2e+03 0.00062 0.0061 0.48 +
51 8.2e+03 0.00039 0.0061 0.86 +
52 8.2e+03 0.00061 0.0061 0.84 +
53 8.2e+03 0.00067 0.0061 0.73 +
54 8.2e+03 0.00038 0.0061 0.88 +
55 8.2e+03 0.00061 0.0061 0.9 +
56 8.2e+03 0.00079 0.0061 0.79 +
57 8.2e+03 0.00047 0.061 0.92 ++
58 8.2e+03 0.0012 0.061 0.44 +
59 8.2e+03 0.0012 0.031 -5.8 -
60 8.2e+03 0.0012 0.015 -1.9 -
61 8.2e+03 0.0012 0.0076 -0.45 -
62 8.2e+03 0.00042 0.0076 0.63 +
63 8.2e+03 0.00042 0.0038 0.086 -
64 8.2e+03 0.00013 0.0038 0.67 +
65 8.2e+03 0.00013 0.0019 -0.28 -
66 8.2e+03 0.00026 0.0019 0.19 +
67 8.2e+03 0.00017 0.0019 0.4 +
68 8.2e+03 0.00016 0.0019 0.29 +
69 8.2e+03 7.9e-05 0.0019 0.55 +
70 8.2e+03 7.8e-05 0.0019 0.39 +
71 8.2e+03 7.8e-05 0.00095 -0.28 -
72 8.2e+03 4.4e-05 0.00095 0.66 +
73 8.2e+03 5.4e-05 0.00095 0.19 +
74 8.2e+03 2.4e-05 0.0095 0.91 ++
75 8.2e+03 2.4e-05 0.0048 -0.57 -
76 8.2e+03 8.6e-05 0.0048 0.5 +
77 8.2e+03 8.6e-05 0.0024 0.056 -
78 8.2e+03 7.5e-05 0.0024 0.42 +
79 8.2e+03 1.5e-05 0.0024 0.85 +
80 8.2e+03 1.5e-05 0.0012 -1.5 -
81 8.2e+03 1.5e-05 0.0006 -0.036 -
82 8.2e+03 1.4e-05 0.0006 0.6 +
83 8.2e+03 8.8e-06 0.0006 0.81 +
84 8.2e+03 2.1e-05 0.0006 0.22 +
85 8.2e+03 9.5e-06 0.0006 0.73 +
86 8.2e+03 8.6e-06 0.0006 0.66 +
87 8.2e+03 8.6e-06 0.0003 -0.21 -
88 8.2e+03 1e-05 0.0003 0.53 +
89 8.2e+03 9.1e-06 0.0003 0.41 +
90 8.2e+03 6e-06 0.0003 0.44 +
Considering neighbor 2/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:altspec;model_catalog:nested public;train_tt_catalog:linear [8176.830986074663, 16]
Attempt 11/100
Biogeme parameters read from biogeme.toml.
Model with 19 unknown parameters [max: 50]
*** Estimate b07everything_000016
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.22 0.5 -0.69 -
1 1.1e+04 0.22 0.25 0.013 -
2 9.3e+03 0.082 0.25 0.54 +
3 9.3e+03 0.082 0.12 -0.74 -
4 9.2e+03 0.084 0.12 0.17 +
5 8.9e+03 0.056 0.12 0.76 +
6 8.8e+03 0.042 0.12 0.86 +
7 8.7e+03 0.056 0.12 0.59 +
8 8.6e+03 0.031 0.12 0.82 +
9 8.5e+03 0.03 0.12 0.84 +
10 8.4e+03 0.034 0.12 0.66 +
11 8.3e+03 0.047 0.12 0.68 +
12 8.3e+03 0.024 0.12 0.53 +
13 8.3e+03 0.025 0.12 0.55 +
14 8.3e+03 0.025 0.062 -0.1 -
15 8.2e+03 0.018 0.062 0.57 +
16 8.2e+03 0.013 0.062 0.76 +
17 8.2e+03 0.032 0.062 0.34 +
18 8.2e+03 0.0072 0.062 0.81 +
19 8.2e+03 0.0082 0.062 0.84 +
20 8.2e+03 0.016 0.062 0.52 +
21 8.2e+03 0.0087 0.062 0.83 +
22 8.1e+03 0.0086 0.062 0.82 +
23 8.1e+03 0.0062 0.062 0.83 +
24 8.1e+03 0.017 0.062 0.38 +
25 8.1e+03 0.0031 0.62 0.94 ++
26 8.1e+03 0.0031 0.27 0.013 -
27 8.1e+03 0.016 0.27 0.38 +
28 8.1e+03 0.016 0.12 -0.93 -
29 8.1e+03 0.0075 0.12 0.57 +
30 8.1e+03 0.0075 0.062 -3.6 -
31 8.1e+03 0.0075 0.031 -0.96 -
32 8.1e+03 0.0075 0.015 0.036 -
33 8.1e+03 0.0035 0.015 0.53 +
34 8.1e+03 0.0035 0.015 0.82 +
35 8.1e+03 0.0026 0.015 0.82 +
36 8.1e+03 0.0043 0.015 0.45 +
37 8.1e+03 0.0028 0.015 0.86 +
38 8.1e+03 0.0018 0.015 0.51 +
39 8.1e+03 0.0022 0.15 0.98 ++
40 8.1e+03 0.0012 1.5 0.95 ++
41 8.1e+03 0.0012 0.77 -16 -
42 8.1e+03 0.0012 0.38 -7.8 -
43 8.1e+03 0.0012 0.19 -2.6 -
44 8.1e+03 0.0012 0.096 -1.3 -
45 8.1e+03 0.0012 0.048 -1 -
46 8.1e+03 0.0012 0.024 -2.1 -
47 8.1e+03 0.0012 0.012 0.034 -
48 8.1e+03 0.0023 0.012 0.47 +
49 8.1e+03 0.0017 0.012 0.78 +
50 8.1e+03 0.0019 0.012 0.54 +
51 8.1e+03 0.0015 0.012 0.78 +
52 8.1e+03 0.00086 0.12 0.9 ++
53 8.1e+03 0.00086 0.06 -0.11 -
54 8.1e+03 0.0018 0.06 0.39 +
55 8.1e+03 0.0018 0.03 -0.55 -
56 8.1e+03 0.0018 0.015 -0.11 -
57 8.1e+03 0.0018 0.0075 0.031 -
58 8.1e+03 0.00087 0.0075 0.57 +
59 8.1e+03 0.00023 0.0075 0.87 +
60 8.1e+03 0.00036 0.0075 0.6 +
61 8.1e+03 0.0003 0.0075 0.41 +
62 8.1e+03 0.00024 0.0075 0.8 +
63 8.1e+03 0.00024 0.0075 0.61 +
64 8.1e+03 0.00014 0.0075 0.72 +
65 8.1e+03 0.00014 0.0038 -0.74 -
66 8.1e+03 0.00014 0.0019 0.051 -
67 8.1e+03 8.1e-05 0.0019 0.59 +
68 8.1e+03 6.1e-05 0.0019 0.77 +
69 8.1e+03 5.2e-05 0.0019 0.84 +
70 8.1e+03 0.00013 0.0019 0.32 +
71 8.1e+03 5.2e-05 0.0019 0.69 +
72 8.1e+03 5.2e-05 0.00094 -0.078 -
73 8.1e+03 3.5e-05 0.00094 0.63 +
74 8.1e+03 2.2e-05 0.0094 0.91 ++
75 8.1e+03 2.2e-05 0.0047 -0.56 -
76 8.1e+03 0.00012 0.0047 0.16 +
77 8.1e+03 0.00012 0.0023 -2.5 -
78 8.1e+03 0.00012 0.0012 -2.1 -
79 8.1e+03 0.00012 0.00059 -0.33 -
80 8.1e+03 5.3e-05 0.00059 0.68 +
81 8.1e+03 1.6e-05 0.00059 0.58 +
82 8.1e+03 1.6e-05 0.00029 -0.6 -
83 8.1e+03 1.1e-05 0.00029 0.7 +
84 8.1e+03 1.1e-05 0.00015 -1.3 -
85 8.1e+03 1.1e-05 7.3e-05 -0.063 -
86 8.1e+03 6.2e-06 7.3e-05 0.64 +
87 8.1e+03 8.5e-06 7.3e-05 0.51 +
88 8.1e+03 4.4e-06 7.3e-05 0.9 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 15 unknown parameters [max: 50]
*** Estimate b07everything_000017
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di lambda_travel_t b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -1.1 -
1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.25 -0.52 -
2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.12 0.024 -
3 -0.12 -0.12 -0.12 -0.12 -0.12 1 -0.12 -0.12 -0.12 0.12 0.12 -0.12 0.12 0.12 1.9 9.8e+03 0.12 0.12 0.46 +
4 -0.25 -0.17 -0.18 -0.25 -0.25 0.88 -0.25 -0.25 -0.25 0 0 -0.25 0 0 2 9.1e+03 0.07 0.12 0.8 +
5 -0.38 -0.049 -0.3 -0.38 -0.38 1 -0.38 -0.38 -0.38 -0.12 -0.12 -0.38 -0.12 -0.12 2.1 8.6e+03 0.047 1.2 0.93 ++
6 -0.38 -0.049 -0.3 -0.38 -0.38 1 -0.38 -0.38 -0.38 -0.12 -0.12 -0.38 -0.12 -0.12 2.1 8.6e+03 0.047 0.62 -2.2 -
7 -0.38 -0.049 -0.3 -0.38 -0.38 1 -0.38 -0.38 -0.38 -0.12 -0.12 -0.38 -0.12 -0.12 2.1 8.6e+03 0.047 0.31 -2.3 -
8 -0.38 -0.049 -0.3 -0.38 -0.38 1 -0.38 -0.38 -0.38 -0.12 -0.12 -0.38 -0.12 -0.12 2.1 8.6e+03 0.047 0.16 -0.27 -
9 -0.38 -0.049 -0.3 -0.38 -0.38 1 -0.38 -0.38 -0.38 -0.12 -0.12 -0.38 -0.12 -0.12 2.1 8.6e+03 0.047 0.078 -0.037 -
10 -0.45 -0.13 -0.23 -0.45 -0.45 1.1 -0.45 -0.45 -0.45 -0.047 -0.13 -0.45 -0.2 -0.2 2.2 8.5e+03 0.045 0.078 0.51 +
11 -0.42 -0.049 -0.22 -0.48 -0.45 1.1 -0.49 -0.46 -0.46 -0.11 -0.19 -0.46 -0.26 -0.27 2.2 8.5e+03 0.034 0.78 0.94 ++
12 -0.42 -0.049 -0.22 -0.48 -0.45 1.1 -0.49 -0.46 -0.46 -0.11 -0.19 -0.46 -0.26 -0.27 2.2 8.5e+03 0.034 0.39 -0.16 -
13 -0.51 0.23 -0.2 -0.87 -0.49 1.1 -0.66 -0.56 -0.49 -0.0068 -0.24 -0.47 -0.33 -0.55 2.3 8.3e+03 0.013 0.39 0.59 +
14 -0.51 0.23 -0.2 -0.87 -0.49 1.1 -0.66 -0.56 -0.49 -0.0068 -0.24 -0.47 -0.33 -0.55 2.3 8.3e+03 0.013 0.2 -0.051 -
15 -0.45 0.26 -0.17 -0.77 -0.42 0.9 -0.63 -0.72 -0.56 -0.017 -0.11 -0.5 -0.32 -0.59 2.3 8.3e+03 0.019 0.2 0.62 +
16 -0.55 0.25 -0.13 -0.97 -0.51 0.83 -0.59 -0.82 -0.59 -0.091 -0.11 -0.52 -0.39 -0.67 2.4 8.3e+03 0.027 0.2 0.14 +
17 -0.41 0.44 -0.076 -1.1 -0.59 0.64 -0.71 -0.89 -0.58 0.014 -0.026 -0.56 -0.35 -0.64 2.4 8.3e+03 0.023 0.2 0.31 +
18 -0.43 0.37 -0.033 -1 -0.53 0.45 -0.6 -0.98 -0.57 0.014 0.057 -0.58 -0.54 -0.75 2.4 8.2e+03 0.016 0.2 0.28 +
19 -0.43 0.41 -0.016 -1.2 -0.62 0.46 -0.59 -1 -0.53 -0.047 -0.057 -0.58 -0.45 -0.7 2.4 8.2e+03 0.015 0.2 0.33 +
20 -0.43 0.41 -0.016 -1.2 -0.62 0.46 -0.59 -1 -0.53 -0.047 -0.057 -0.58 -0.45 -0.7 2.4 8.2e+03 0.015 0.098 -0.44 -
21 -0.4 0.42 -0.0036 -1.2 -0.59 0.42 -0.69 -0.99 -0.5 0.05 0.0018 -0.58 -0.54 -0.74 2.4 8.2e+03 0.013 0.098 0.46 +
22 -0.41 0.38 0.023 -1.3 -0.59 0.37 -0.59 -1.1 -0.47 0.0079 -0.013 -0.59 -0.59 -0.77 2.4 8.2e+03 0.012 0.098 0.16 +
23 -0.41 0.38 0.023 -1.3 -0.59 0.37 -0.59 -1.1 -0.47 0.0079 -0.013 -0.59 -0.59 -0.77 2.4 8.2e+03 0.012 0.049 -0.091 -
24 -0.36 0.42 0.027 -1.3 -0.6 0.36 -0.64 -1.1 -0.46 0.026 -0.021 -0.59 -0.56 -0.75 2.3 8.2e+03 0.01 0.049 0.73 +
25 -0.37 0.42 0.035 -1.3 -0.61 0.35 -0.66 -1.1 -0.44 0.051 -0.026 -0.59 -0.58 -0.76 2.4 8.2e+03 0.004 0.049 0.67 +
26 -0.34 0.42 0.054 -1.4 -0.62 0.31 -0.65 -1.1 -0.41 0.055 -0.031 -0.59 -0.6 -0.76 2.3 8.2e+03 0.003 0.049 0.85 +
27 -0.34 0.42 0.054 -1.4 -0.62 0.31 -0.65 -1.1 -0.41 0.055 -0.031 -0.59 -0.6 -0.76 2.3 8.2e+03 0.003 0.024 0.02 -
28 -0.34 0.42 0.062 -1.4 -0.62 0.29 -0.66 -1.1 -0.39 0.079 -0.019 -0.59 -0.62 -0.76 2.3 8.2e+03 0.006 0.024 0.42 +
29 -0.33 0.42 0.068 -1.4 -0.62 0.28 -0.66 -1.2 -0.38 0.068 -0.031 -0.59 -0.64 -0.77 2.3 8.2e+03 0.0037 0.024 0.78 +
30 -0.32 0.43 0.073 -1.4 -0.62 0.27 -0.66 -1.2 -0.37 0.081 -0.031 -0.59 -0.63 -0.76 2.3 8.2e+03 0.0021 0.024 0.8 +
31 -0.32 0.42 0.079 -1.4 -0.62 0.26 -0.65 -1.2 -0.36 0.076 -0.035 -0.59 -0.66 -0.77 2.3 8.2e+03 0.0027 0.024 0.83 +
32 -0.3 0.43 0.088 -1.5 -0.62 0.25 -0.67 -1.2 -0.34 0.096 -0.031 -0.59 -0.66 -0.76 2.3 8.2e+03 0.0025 0.024 0.68 +
33 -0.31 0.42 0.095 -1.5 -0.62 0.24 -0.66 -1.2 -0.33 0.088 -0.04 -0.59 -0.68 -0.76 2.3 8.2e+03 0.0023 0.024 0.81 +
34 -0.3 0.43 0.11 -1.5 -0.61 0.23 -0.67 -1.2 -0.31 0.1 -0.035 -0.58 -0.7 -0.76 2.3 8.2e+03 0.0028 0.024 0.77 +
35 -0.3 0.43 0.11 -1.5 -0.62 0.22 -0.66 -1.2 -0.31 0.1 -0.042 -0.58 -0.7 -0.75 2.2 8.2e+03 0.0017 0.024 0.81 +
36 -0.29 0.44 0.12 -1.6 -0.61 0.21 -0.68 -1.3 -0.29 0.11 -0.039 -0.57 -0.72 -0.75 2.2 8.2e+03 0.0018 0.024 0.84 +
37 -0.29 0.43 0.13 -1.6 -0.61 0.21 -0.67 -1.3 -0.28 0.11 -0.044 -0.57 -0.74 -0.75 2.2 8.2e+03 0.002 0.024 0.63 +
38 -0.29 0.43 0.13 -1.6 -0.61 0.21 -0.67 -1.3 -0.28 0.11 -0.044 -0.57 -0.74 -0.75 2.2 8.2e+03 0.002 0.012 0.081 -
39 -0.29 0.44 0.14 -1.6 -0.61 0.21 -0.67 -1.3 -0.28 0.12 -0.043 -0.57 -0.73 -0.74 2.2 8.2e+03 0.00095 0.012 0.61 +
40 -0.29 0.44 0.14 -1.6 -0.61 0.2 -0.68 -1.3 -0.28 0.12 -0.042 -0.57 -0.75 -0.75 2.2 8.2e+03 0.001 0.012 0.84 +
41 -0.29 0.44 0.15 -1.6 -0.61 0.2 -0.67 -1.3 -0.28 0.12 -0.044 -0.56 -0.74 -0.75 2.2 8.2e+03 0.00081 0.012 0.69 +
42 -0.29 0.44 0.16 -1.6 -0.6 0.2 -0.68 -1.3 -0.27 0.12 -0.043 -0.56 -0.76 -0.75 2.2 8.2e+03 0.00088 0.12 0.9 ++
43 -0.29 0.44 0.16 -1.6 -0.6 0.2 -0.68 -1.3 -0.27 0.12 -0.043 -0.56 -0.76 -0.75 2.2 8.2e+03 0.00088 0.061 -10 -
44 -0.29 0.44 0.16 -1.6 -0.6 0.2 -0.68 -1.3 -0.27 0.12 -0.043 -0.56 -0.76 -0.75 2.2 8.2e+03 0.00088 0.031 -0.89 -
45 -0.28 0.45 0.18 -1.7 -0.6 0.2 -0.68 -1.3 -0.26 0.13 -0.041 -0.54 -0.78 -0.75 2.1 8.2e+03 0.0012 0.031 0.43 +
46 -0.28 0.45 0.18 -1.7 -0.6 0.2 -0.68 -1.3 -0.26 0.13 -0.041 -0.54 -0.78 -0.75 2.1 8.2e+03 0.0012 0.015 -2.6 -
47 -0.28 0.45 0.18 -1.7 -0.6 0.2 -0.68 -1.3 -0.26 0.13 -0.041 -0.54 -0.78 -0.75 2.1 8.2e+03 0.0012 0.0076 -0.21 -
48 -0.29 0.45 0.18 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.54 -0.77 -0.74 2.1 8.2e+03 0.00041 0.0076 0.69 +
49 -0.29 0.45 0.18 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.54 -0.77 -0.74 2.1 8.2e+03 0.00041 0.0038 -2 -
50 -0.29 0.45 0.18 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.54 -0.77 -0.74 2.1 8.2e+03 0.00041 0.0019 -0.33 -
51 -0.29 0.45 0.18 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.54 -0.77 -0.74 2.1 8.2e+03 0.00025 0.0019 0.5 +
52 -0.29 0.45 0.18 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.54 -0.77 -0.74 2.1 8.2e+03 0.00029 0.0019 0.68 +
53 -0.29 0.45 0.18 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.54 -0.77 -0.74 2.1 8.2e+03 0.00011 0.0019 0.86 +
54 -0.29 0.45 0.19 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.54 -0.77 -0.74 2.1 8.2e+03 0.00015 0.019 0.9 ++
55 -0.29 0.46 0.21 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.52 -0.77 -0.74 2.1 8.2e+03 0.00037 0.019 0.2 +
56 -0.29 0.46 0.21 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.043 -0.52 -0.77 -0.74 2.1 8.2e+03 0.00037 0.0095 -0.39 -
57 -0.29 0.45 0.21 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.75 2.1 8.2e+03 0.00034 0.0095 0.21 +
58 -0.29 0.45 0.21 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.75 2.1 8.2e+03 0.00034 0.0048 -0.84 -
59 -0.29 0.45 0.21 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.75 2.1 8.2e+03 0.00034 0.0024 -0.077 -
60 -0.29 0.46 0.21 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.04 -0.51 -0.78 -0.74 2.1 8.2e+03 0.00025 0.0024 0.43 +
61 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.042 -0.51 -0.78 -0.74 2.1 8.2e+03 0.0001 0.0024 0.55 +
62 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.042 -0.51 -0.78 -0.74 2.1 8.2e+03 0.0001 0.0012 -0.18 -
63 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 3.2e-05 0.0012 0.69 +
64 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 3.2e-05 0.0006 -1.1 -
65 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 4.4e-05 0.0006 0.18 +
66 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.68 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 4.4e-05 0.0003 -0.18 -
67 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 4.9e-05 0.0003 0.68 +
68 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 1.6e-05 0.0003 0.46 +
69 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 1.6e-05 0.00015 0.00054 -
70 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 9.6e-06 0.00015 0.82 +
71 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 1.8e-05 0.00015 0.14 +
72 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 1e-05 0.00015 0.55 +
73 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 1e-05 0.00015 0.22 +
74 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 1.3e-05 0.00015 0.31 +
75 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 1.3e-05 7.5e-05 -0.85 -
76 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 8.5e-06 7.5e-05 0.51 +
77 -0.29 0.46 0.22 -1.7 -0.6 0.19 -0.69 -1.3 -0.26 0.13 -0.041 -0.51 -0.78 -0.74 2.1 8.2e+03 4.3e-06 7.5e-05 0.74 +
Considering neighbor 1/20 for current solution
*** New pareto solution:
asc:LUGGAGE;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:altspec;model_catalog:nested existing;train_tt_catalog:boxcox [8198.764504134046, 15]
Attempt 12/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000018
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train b_cost b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -1.1 -
1 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.59 -
2 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.067 -
3 -0.12 -0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 -0.12 0.12 1.9 9.7e+03 0.23 0.12 0.39 +
4 -0.25 0 -1.4e-17 -0.25 -0.25 0.25 0 0 -0.25 0 2 9.1e+03 0.074 0.12 0.69 +
5 -0.38 0.12 0.12 -0.38 -0.38 0.12 -0.12 -0.12 -0.38 -0.12 2.1 8.8e+03 0.059 1.2 0.91 ++
6 -0.38 0.12 0.12 -0.38 -0.38 0.12 -0.12 -0.12 -0.38 -0.12 2.1 8.8e+03 0.059 0.62 -1.8 -
7 -0.38 0.12 0.12 -0.38 -0.38 0.12 -0.12 -0.12 -0.38 -0.12 2.1 8.8e+03 0.059 0.31 -1.3 -
8 -0.38 0.12 0.12 -0.38 -0.38 0.12 -0.12 -0.12 -0.38 -0.12 2.1 8.8e+03 0.059 0.16 -1.2 -
9 -0.38 0.12 0.12 -0.38 -0.38 0.12 -0.12 -0.12 -0.38 -0.12 2.1 8.8e+03 0.059 0.078 -0.69 -
10 -0.38 0.12 0.12 -0.38 -0.38 0.12 -0.12 -0.12 -0.38 -0.12 2.1 8.8e+03 0.059 0.039 -0.76 -
11 -0.41 0.13 0.12 -0.41 -0.41 0.086 -0.086 -0.086 -0.38 -0.086 2.2 8.8e+03 0.083 0.039 0.2 +
12 -0.38 0.17 0.13 -0.38 -0.44 0.055 -0.12 -0.12 -0.38 -0.12 2.2 8.8e+03 0.074 0.039 0.77 +
13 -0.41 0.16 0.13 -0.42 -0.46 0.016 -0.1 -0.11 -0.38 -0.11 2.2 8.7e+03 0.067 0.039 0.79 +
14 -0.39 0.18 0.13 -0.42 -0.47 -0.0038 -0.14 -0.13 -0.38 -0.15 2.2 8.7e+03 0.059 0.39 0.95 ++
15 -0.46 0.24 0.13 -0.81 -0.58 -0.26 -0.21 -0.16 -0.39 -0.4 2.3 8.6e+03 0.075 0.39 0.34 +
16 -0.46 0.24 0.13 -0.81 -0.58 -0.26 -0.21 -0.16 -0.39 -0.4 2.3 8.6e+03 0.075 0.2 -0.13 -
17 -0.37 0.33 0.13 -0.72 -0.61 -0.46 -0.2 -0.14 -0.39 -0.38 2.3 8.5e+03 0.062 0.2 0.59 +
18 -0.39 0.31 0.14 -0.9 -0.54 -0.66 -0.23 -0.064 -0.4 -0.48 2.4 8.4e+03 0.065 0.2 0.52 +
19 -0.39 0.31 0.14 -0.9 -0.54 -0.66 -0.23 -0.064 -0.4 -0.48 2.4 8.4e+03 0.065 0.098 -0.68 -
20 -0.38 0.32 0.15 -0.92 -0.52 -0.67 -0.29 -0.077 -0.41 -0.58 2.4 8.4e+03 0.041 0.098 0.37 +
21 -0.36 0.35 0.15 -0.92 -0.55 -0.76 -0.28 -0.063 -0.41 -0.54 2.4 8.4e+03 0.028 0.098 0.62 +
22 -0.38 0.35 0.15 -1 -0.57 -0.83 -0.34 -0.064 -0.41 -0.61 2.4 8.4e+03 0.014 0.098 0.82 +
23 -0.37 0.37 0.16 -1 -0.57 -0.93 -0.36 -0.048 -0.42 -0.63 2.4 8.4e+03 0.028 0.098 0.43 +
24 -0.41 0.36 0.17 -1.1 -0.54 -1 -0.42 -0.025 -0.43 -0.7 2.4 8.4e+03 0.012 0.098 0.53 +
25 -0.44 0.41 0.18 -1.2 -0.64 -1.1 -0.48 -0.053 -0.44 -0.7 2.4 8.3e+03 0.0078 0.098 0.22 +
26 -0.45 0.39 0.19 -1.1 -0.54 -1.1 -0.47 0.0067 -0.44 -0.71 2.4 8.3e+03 0.009 0.098 0.16 +
27 -0.45 0.39 0.19 -1.1 -0.54 -1.1 -0.47 0.0067 -0.44 -0.71 2.4 8.3e+03 0.009 0.049 -6 -
28 -0.45 0.39 0.19 -1.1 -0.54 -1.1 -0.47 0.0067 -0.44 -0.71 2.4 8.3e+03 0.009 0.024 -1.6 -
29 -0.45 0.39 0.19 -1.1 -0.54 -1.1 -0.47 0.0067 -0.44 -0.71 2.4 8.3e+03 0.009 0.012 -0.11 -
30 -0.46 0.38 0.19 -1.1 -0.55 -1.1 -0.48 -0.0055 -0.44 -0.71 2.4 8.3e+03 0.0047 0.012 0.47 +
31 -0.46 0.39 0.19 -1.1 -0.57 -1.1 -0.48 -0.018 -0.44 -0.7 2.4 8.3e+03 0.0062 0.012 0.61 +
32 -0.46 0.39 0.19 -1.1 -0.57 -1.1 -0.48 -0.02 -0.44 -0.7 2.4 8.3e+03 0.006 0.012 0.38 +
33 -0.46 0.4 0.19 -1.1 -0.58 -1.1 -0.48 -0.023 -0.44 -0.7 2.4 8.3e+03 0.0029 0.012 0.67 +
34 -0.47 0.41 0.19 -1.2 -0.59 -1.1 -0.49 -0.017 -0.44 -0.71 2.4 8.3e+03 0.0029 0.012 0.61 +
35 -0.48 0.42 0.19 -1.2 -0.59 -1.1 -0.49 -0.012 -0.44 -0.71 2.4 8.3e+03 0.0023 0.012 0.85 +
36 -0.48 0.42 0.2 -1.2 -0.59 -1.1 -0.49 -0.011 -0.44 -0.71 2.4 8.3e+03 0.0017 0.012 0.88 +
37 -0.49 0.43 0.2 -1.2 -0.59 -1.2 -0.5 -0.0085 -0.44 -0.71 2.3 8.3e+03 0.0019 0.012 0.86 +
38 -0.49 0.43 0.21 -1.2 -0.59 -1.2 -0.5 -0.0059 -0.44 -0.72 2.3 8.3e+03 0.0014 0.012 0.86 +
39 -0.5 0.44 0.21 -1.2 -0.6 -1.2 -0.5 -0.0046 -0.45 -0.72 2.3 8.3e+03 0.0018 0.012 0.86 +
40 -0.5 0.44 0.22 -1.2 -0.59 -1.2 -0.5 -0.0053 -0.45 -0.72 2.3 8.3e+03 0.0013 0.012 0.82 +
41 -0.51 0.45 0.22 -1.2 -0.6 -1.2 -0.51 -0.0028 -0.45 -0.72 2.3 8.3e+03 0.0014 0.012 0.89 +
42 -0.51 0.45 0.23 -1.2 -0.6 -1.2 -0.51 -0.0015 -0.45 -0.73 2.3 8.3e+03 0.0012 0.012 0.82 +
43 -0.51 0.46 0.23 -1.2 -0.6 -1.2 -0.51 -0.0029 -0.45 -0.73 2.3 8.3e+03 0.0015 0.012 0.8 +
44 -0.52 0.46 0.24 -1.2 -0.6 -1.2 -0.51 -0.0002 -0.45 -0.73 2.3 8.3e+03 0.00095 0.012 0.87 +
45 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 0.00039 -0.45 -0.73 2.2 8.3e+03 0.001 0.12 0.91 ++
46 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 0.00039 -0.45 -0.73 2.2 8.3e+03 0.001 0.061 -15 -
47 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 0.00039 -0.45 -0.73 2.2 8.3e+03 0.001 0.031 -6.7 -
48 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 0.00039 -0.45 -0.73 2.2 8.3e+03 0.001 0.015 -2.9 -
49 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 0.00039 -0.45 -0.73 2.2 8.3e+03 0.001 0.0076 -1.2 -
50 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 0.00039 -0.45 -0.73 2.2 8.3e+03 0.001 0.0038 -0.32 -
51 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 0.00039 -0.45 -0.73 2.2 8.3e+03 0.001 0.0019 0.094 -
52 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 -4.4e-05 -0.44 -0.73 2.2 8.3e+03 0.00046 0.0019 0.68 +
53 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 -0.00046 -0.44 -0.73 2.2 8.3e+03 0.00053 0.0019 0.84 +
54 -0.52 0.46 0.25 -1.2 -0.6 -1.2 -0.51 -0.00032 -0.44 -0.73 2.2 8.3e+03 0.00027 0.019 0.98 ++
55 -0.52 0.47 0.26 -1.2 -0.61 -1.2 -0.51 0.0011 -0.44 -0.74 2.2 8.3e+03 0.0015 0.019 0.51 +
56 -0.53 0.48 0.28 -1.2 -0.61 -1.2 -0.51 -0.0061 -0.43 -0.74 2.2 8.3e+03 0.00092 0.019 0.35 +
57 -0.53 0.48 0.28 -1.2 -0.61 -1.2 -0.51 -0.0061 -0.43 -0.74 2.2 8.3e+03 0.00092 0.0095 -2.9 -
58 -0.53 0.47 0.28 -1.2 -0.61 -1.2 -0.51 0.0034 -0.43 -0.74 2.2 8.3e+03 0.0008 0.0095 0.49 +
59 -0.53 0.47 0.28 -1.2 -0.61 -1.2 -0.51 0.0034 -0.43 -0.74 2.2 8.3e+03 0.0008 0.0048 -0.64 -
60 -0.53 0.47 0.28 -1.2 -0.61 -1.2 -0.51 -0.00092 -0.43 -0.74 2.2 8.3e+03 0.00052 0.0048 0.26 +
61 -0.53 0.47 0.28 -1.2 -0.61 -1.2 -0.51 0.0013 -0.43 -0.74 2.2 8.3e+03 0.00023 0.0048 0.77 +
62 -0.53 0.47 0.29 -1.2 -0.61 -1.2 -0.51 0.0026 -0.43 -0.75 2.2 8.3e+03 0.00023 0.0048 0.46 +
63 -0.53 0.47 0.29 -1.2 -0.61 -1.2 -0.51 0.0026 -0.43 -0.75 2.2 8.3e+03 0.00023 0.0024 -1.5 -
64 -0.53 0.48 0.29 -1.2 -0.61 -1.2 -0.51 0.00099 -0.43 -0.75 2.2 8.3e+03 0.0004 0.0024 0.36 +
65 -0.53 0.48 0.29 -1.2 -0.61 -1.2 -0.51 0.00099 -0.43 -0.75 2.2 8.3e+03 0.0004 0.0012 0.089 -
66 -0.53 0.47 0.29 -1.2 -0.61 -1.2 -0.51 0.0022 -0.43 -0.75 2.2 8.3e+03 0.00012 0.0012 0.67 +
67 -0.53 0.48 0.29 -1.2 -0.61 -1.2 -0.51 0.00099 -0.43 -0.74 2.2 8.3e+03 7.9e-05 0.0012 0.37 +
68 -0.53 0.48 0.29 -1.2 -0.61 -1.2 -0.51 0.0018 -0.42 -0.75 2.2 8.3e+03 5.4e-05 0.012 0.95 ++
69 -0.53 0.48 0.29 -1.2 -0.61 -1.2 -0.51 0.0018 -0.42 -0.75 2.2 8.3e+03 5.4e-05 0.006 0.021 -
70 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0023 -0.42 -0.75 2.2 8.3e+03 0.00017 0.006 0.47 +
71 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0023 -0.42 -0.75 2.2 8.3e+03 0.00017 0.003 -0.34 -
72 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.003 -0.42 -0.75 2.2 8.3e+03 0.00011 0.003 0.47 +
73 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0012 -0.41 -0.74 2.2 8.3e+03 0.00015 0.003 0.21 +
74 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0029 -0.41 -0.75 2.2 8.3e+03 0.00013 0.003 0.16 +
75 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0029 -0.41 -0.75 2.2 8.3e+03 0.00013 0.0015 -0.26 -
76 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0023 -0.41 -0.75 2.2 8.3e+03 3.9e-05 0.0015 0.78 +
77 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0023 -0.41 -0.75 2.2 8.3e+03 3.9e-05 0.00075 -2 -
78 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0023 -0.41 -0.75 2.2 8.3e+03 3.9e-05 0.00037 -0.11 -
79 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0026 -0.41 -0.75 2.2 8.3e+03 3.3e-05 0.00037 0.51 +
80 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0026 -0.41 -0.75 2.2 8.3e+03 2.4e-05 0.00037 0.27 +
81 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0026 -0.41 -0.75 2.2 8.3e+03 2.4e-05 0.00019 -0.17 -
82 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0027 -0.41 -0.75 2.2 8.3e+03 2.1e-05 0.00019 0.69 +
83 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0025 -0.41 -0.75 2.2 8.3e+03 1.2e-05 0.00019 0.52 +
84 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0026 -0.41 -0.75 2.2 8.3e+03 1.9e-05 0.00019 0.14 +
85 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0028 -0.41 -0.75 2.2 8.3e+03 1.6e-05 0.00019 0.38 +
86 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0026 -0.41 -0.75 2.2 8.3e+03 9.4e-06 0.00019 0.5 +
87 -0.53 0.48 0.3 -1.2 -0.61 -1.2 -0.51 0.0026 -0.41 -0.75 2.2 8.3e+03 3.1e-06 0.00019 0.92 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 5 unknown parameters [max: 50]
*** Estimate b07everything_000019
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time lambda_travel_t b_cost asc_car Function Relgrad Radius Rho
0 -0.66 -1 1.6 -0.57 -0.29 8.9e+03 0.045 1 0.83 +
1 -0.57 -1.7 0.55 -0.94 -0.0006 8.7e+03 0.021 1 0.89 +
2 -0.48 -1.6 0.55 -0.78 0.14 8.6e+03 0.00087 10 0.97 ++
3 -0.48 -1.6 0.55 -0.78 0.14 8.6e+03 3.5e-06 10 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 13/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000020
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.4 -
1 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.5 0.25 +
2 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.25 0.25 -
3 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.12 0.25 -
4 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.062 0.25 -
5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.031 0.25 -
6 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.016 0.25 -
7 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.0078 -2.1 -
8 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.0039 -1.8 -
9 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.002 -1.5 -
10 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.00098 -1.1 -
11 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.00049 -0.5 -
12 -0.5 -0.5 -0.00049 -0.00049 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 5.2 0.00049 0.16 +
13 -0.5 -0.5 -0.00064 -0.00024 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 0.25 0.0049 1.3 ++
14 -0.5 -0.5 -0.0022 -0.00026 -0.5 0.49 0.5 -0.5 1.5 9.8e+03 1.1 0.049 0.99 ++
15 -0.48 -0.49 -0.018 3e-05 -0.49 0.45 0.51 -0.49 1.5 9.6e+03 4.7 0.049 0.87 +
16 -0.46 -0.48 -0.032 -0.00079 -0.48 0.4 0.51 -0.48 1.5 9.5e+03 9.1 0.049 0.51 +
17 -0.44 -0.47 -0.039 7.1e-05 -0.47 0.35 0.51 -0.47 1.4 9.4e+03 3.8 0.49 0.94 ++
18 -0.44 -0.47 -0.039 7.1e-05 -0.47 0.35 0.51 -0.47 1.4 9.4e+03 3.8 0.24 -0.019 -
19 -0.34 -0.47 -0.032 -0.00066 -0.42 0.1 0.49 -0.45 1.3 9.1e+03 9 0.24 0.52 +
20 -0.35 -0.64 0.21 -0.0015 -0.47 0.041 0.35 -0.53 1.4 9.1e+03 2.5 0.24 0.24 +
21 -0.28 -0.58 0.13 -0.0012 -0.48 -0.2 0.31 -0.51 1.3 8.8e+03 3.5 0.24 0.71 +
22 -0.33 -0.76 0.12 -0.00082 -0.72 -0.37 0.14 -0.51 1.3 8.7e+03 3.4 0.24 0.82 +
23 -0.33 -0.76 0.12 -0.00082 -0.72 -0.37 0.14 -0.51 1.3 8.7e+03 3.4 0.12 -0.41 -
24 -0.33 -0.76 0.12 -0.00082 -0.72 -0.37 0.14 -0.51 1.3 8.7e+03 3.4 0.061 -0.11 -
25 -0.3 -0.76 0.056 -0.00028 -0.74 -0.38 0.11 -0.51 1.3 8.7e+03 8.3 0.061 0.29 +
26 -0.28 -0.79 0.061 -0.00058 -0.79 -0.4 0.046 -0.53 1.3 8.6e+03 3.8 0.61 0.94 ++
27 -0.28 -0.79 0.061 -0.00058 -0.79 -0.4 0.046 -0.53 1.3 8.6e+03 3.8 0.31 -1.6 -
28 -0.28 -0.79 0.061 -0.00058 -0.79 -0.4 0.046 -0.53 1.3 8.6e+03 3.8 0.15 -0.4 -
29 -0.27 -0.9 0.059 -0.00036 -0.95 -0.44 -0.061 -0.53 1.3 8.6e+03 10 0.15 0.27 +
30 -0.24 -0.98 -0.054 -5.7e-05 -1.1 -0.57 -0.14 -0.49 1.3 8.5e+03 4.6 0.15 0.67 +
31 -0.088 -1.1 0.025 -0.00026 -1.2 -0.72 -0.28 -0.49 1.3 8.5e+03 12 0.15 0.4 +
32 -0.15 -1.2 -0.058 -1.3e-05 -1.4 -0.66 -0.29 -0.45 1.4 8.4e+03 2.3 0.15 0.57 +
33 -0.15 -1.2 -0.058 -1.3e-05 -1.4 -0.66 -0.29 -0.45 1.4 8.4e+03 2.3 0.076 -3.9 -
34 -0.15 -1.2 -0.058 -1.3e-05 -1.4 -0.66 -0.29 -0.45 1.4 8.4e+03 2.3 0.038 -0.74 -
35 -0.15 -1.2 -0.058 -1.3e-05 -1.4 -0.66 -0.29 -0.45 1.4 8.4e+03 2.3 0.019 0.085 -
36 -0.13 -1.2 -0.066 -4.8e-05 -1.4 -0.66 -0.3 -0.46 1.3 8.4e+03 9.9 0.019 0.3 +
37 -0.11 -1.2 -0.062 1.6e-05 -1.4 -0.67 -0.31 -0.47 1.3 8.4e+03 5.3 0.19 0.9 ++
38 -0.11 -1.2 -0.062 1.6e-05 -1.4 -0.67 -0.31 -0.47 1.3 8.4e+03 5.3 0.095 -8 -
39 -0.11 -1.2 -0.062 1.6e-05 -1.4 -0.67 -0.31 -0.47 1.3 8.4e+03 5.3 0.048 -3.2 -
40 -0.11 -1.2 -0.062 1.6e-05 -1.4 -0.67 -0.31 -0.47 1.3 8.4e+03 5.3 0.024 -1.2 -
41 -0.11 -1.2 -0.062 1.6e-05 -1.4 -0.67 -0.31 -0.47 1.3 8.4e+03 5.3 0.012 -0.31 -
42 -0.1 -1.2 -0.05 -8.2e-05 -1.4 -0.67 -0.32 -0.47 1.3 8.4e+03 6.1 0.012 0.14 +
43 -0.092 -1.2 -0.055 -3.1e-05 -1.4 -0.68 -0.32 -0.47 1.3 8.4e+03 0.58 0.12 1.1 ++
44 -0.0019 -1.3 -0.077 4.2e-05 -1.4 -0.77 -0.36 -0.47 1.3 8.4e+03 8 0.12 0.42 +
45 0.054 -1.4 -0.032 -8e-05 -1.5 -0.82 -0.4 -0.47 1.3 8.4e+03 15 0.12 0.11 +
46 -0.0049 -1.5 -0.11 0.0002 -1.6 -0.74 -0.4 -0.44 1.4 8.4e+03 4.5 0.12 0.25 +
47 0.11 -1.5 -0.08 4.7e-05 -1.6 -0.83 -0.41 -0.45 1.3 8.4e+03 11 0.12 0.21 +
48 0.11 -1.5 -0.08 4.7e-05 -1.6 -0.83 -0.41 -0.45 1.3 8.4e+03 11 0.06 -0.42 -
49 0.11 -1.5 -0.08 4.7e-05 -1.6 -0.83 -0.41 -0.45 1.3 8.4e+03 11 0.03 -0.26 -
50 0.11 -1.5 -0.08 4.7e-05 -1.6 -0.83 -0.41 -0.45 1.3 8.4e+03 11 0.015 -0.2 -
51 0.11 -1.5 -0.065 5e-05 -1.6 -0.82 -0.41 -0.45 1.3 8.4e+03 15 0.015 0.25 +
52 0.097 -1.5 -0.065 -4.4e-06 -1.6 -0.81 -0.41 -0.45 1.3 8.4e+03 6.2 0.015 0.8 +
53 0.095 -1.5 -0.08 7.6e-05 -1.6 -0.81 -0.41 -0.45 1.3 8.4e+03 0.27 0.015 0.89 +
54 0.088 -1.5 -0.081 7.7e-05 -1.6 -0.8 -0.41 -0.44 1.3 8.4e+03 0.66 0.15 1 ++
55 0.1 -1.7 -0.11 0.00019 -1.7 -0.79 -0.42 -0.44 1.3 8.4e+03 17 0.15 0.15 +
56 0.1 -1.7 -0.11 0.00019 -1.7 -0.79 -0.42 -0.44 1.3 8.4e+03 17 0.075 -0.0019 -
57 0.15 -1.7 -0.087 0.00011 -1.7 -0.87 -0.39 -0.41 1.3 8.4e+03 1.7 0.075 0.41 +
58 0.15 -1.7 -0.087 0.00011 -1.7 -0.87 -0.39 -0.41 1.3 8.4e+03 1.7 0.037 -1.2 -
59 0.15 -1.7 -0.091 0.00013 -1.7 -0.83 -0.41 -0.43 1.3 8.4e+03 7.8 0.037 0.63 +
60 0.16 -1.8 -0.098 0.00015 -1.7 -0.84 -0.4 -0.43 1.3 8.4e+03 4.4 0.037 0.83 +
61 0.17 -1.8 -0.099 0.00016 -1.7 -0.83 -0.41 -0.43 1.3 8.4e+03 0.78 0.037 0.84 +
62 0.18 -1.9 -0.1 0.00017 -1.7 -0.84 -0.39 -0.41 1.2 8.4e+03 0.62 0.037 0.87 +
63 0.19 -1.9 -0.1 0.00018 -1.7 -0.83 -0.39 -0.42 1.2 8.3e+03 1.3 0.037 0.82 +
64 0.19 -1.9 -0.1 0.00017 -1.8 -0.84 -0.37 -0.4 1.2 8.3e+03 3.4 0.37 0.91 ++
65 0.19 -1.9 -0.1 0.00017 -1.8 -0.84 -0.37 -0.4 1.2 8.3e+03 3.4 0.16 0.014 -
66 0.17 -2.1 -0.11 0.00024 -1.9 -0.81 -0.33 -0.38 1.1 8.3e+03 4.9 0.16 0.35 +
67 0.17 -2.1 -0.11 0.00024 -1.9 -0.81 -0.33 -0.38 1.1 8.3e+03 4.9 0.048 -0.91 -
68 0.19 -2.1 -0.11 0.00021 -1.9 -0.83 -0.33 -0.38 1 8.3e+03 2.4 0.048 0.6 +
69 0.19 -2.1 -0.11 0.00021 -1.9 -0.83 -0.33 -0.38 1 8.3e+03 2.4 0.024 -2.5 -
70 0.19 -2.1 -0.11 0.00021 -1.9 -0.83 -0.33 -0.38 1 8.3e+03 2.4 0.012 -0.53 -
71 0.19 -2.1 -0.11 0.00021 -1.9 -0.83 -0.33 -0.38 1 8.3e+03 2.4 0.006 0.09 -
72 0.19 -2.1 -0.1 0.00017 -1.9 -0.83 -0.33 -0.38 1 8.3e+03 2.2 0.006 0.34 +
73 0.19 -2.1 -0.1 0.00019 -1.9 -0.83 -0.33 -0.37 1.1 8.3e+03 0.12 0.006 0.84 +
74 0.18 -2.1 -0.11 0.00019 -1.9 -0.83 -0.32 -0.37 1.1 8.3e+03 0.67 0.06 0.94 ++
75 0.18 -2.2 -0.11 0.0002 -1.9 -0.83 -0.31 -0.37 1 8.3e+03 0.58 0.06 0.83 +
76 0.17 -2.2 -0.11 0.00019 -1.9 -0.82 -0.29 -0.36 1 8.3e+03 2.9 0.06 0.63 +
77 0.17 -2.2 -0.11 0.00019 -1.9 -0.82 -0.29 -0.36 1 8.3e+03 2.9 0.03 -7.5 -
78 0.17 -2.2 -0.11 0.00019 -1.9 -0.82 -0.29 -0.36 1 8.3e+03 2.9 0.015 -3.3 -
79 0.17 -2.2 -0.11 0.00019 -1.9 -0.82 -0.29 -0.36 1 8.3e+03 2.9 0.0075 -1.5 -
80 0.17 -2.2 -0.11 0.00019 -1.9 -0.82 -0.29 -0.36 1 8.3e+03 2.9 0.0038 -0.086 -
81 0.17 -2.2 -0.11 0.0002 -1.9 -0.82 -0.3 -0.36 1 8.3e+03 1.6 0.0038 0.44 +
82 0.18 -2.2 -0.11 0.0002 -1.9 -0.82 -0.3 -0.36 1 8.3e+03 0.057 0.038 0.99 ++
83 0.18 -2.2 -0.11 0.0002 -1.9 -0.82 -0.3 -0.36 1 8.3e+03 0.057 0.019 -0.11 -
84 0.18 -2.2 -0.11 0.0002 -1.9 -0.82 -0.3 -0.36 1 8.3e+03 0.057 0.0094 -0.035 -
85 0.18 -2.2 -0.11 0.0002 -1.9 -0.82 -0.3 -0.37 1 8.3e+03 0.6 0.0094 0.74 +
86 0.19 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 1 0.0094 0.56 +
87 0.19 -2.2 -0.11 0.00021 -2 -0.83 -0.29 -0.37 1 8.3e+03 1.6 0.0094 0.26 +
88 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.4 0.0094 0.33 +
89 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.4 0.0047 0.031 -
90 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.4 0.0023 -0.12 -
91 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.56 0.0023 0.58 +
92 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.44 0.0023 0.58 +
93 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.18 0.0023 0.77 +
94 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.048 0.0023 0.87 +
95 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.042 0.0023 0.88 +
96 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.0017 0.023 0.94 ++
97 0.2 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 1 8.3e+03 0.0017 0.012 -5.2 -
98 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.61 0.012 0.7 +
99 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.61 0.0059 -6.7 -
100 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.61 0.0029 -1.2 -
101 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.053 0.0029 0.45 +
102 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.053 0.0015 0.027 -
103 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.12 0.0015 0.61 +
104 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.028 0.0015 0.51 +
105 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.028 0.00073 -7.9 -
106 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.028 0.00037 -1.1 -
107 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.092 0.00037 0.23 +
108 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.092 0.00018 -0.93 -
109 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.092 9.2e-05 0.082 -
110 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.022 9.2e-05 0.57 +
111 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.022 4.6e-05 -0.72 -
112 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.012 4.6e-05 0.56 +
113 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.012 2.3e-05 -1.7 -
114 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.012 1.1e-05 0.061 -
115 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.012 1.1e-05 0.51 +
116 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00013 1.1e-05 0.83 +
117 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.0029 1.1e-05 0.19 +
118 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00064 0.00011 0.92 ++
119 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00064 5.7e-05 -0.69 -
120 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00095 0.00057 0.92 ++
121 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00095 0.00021 -21 -
122 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00095 0.00011 -7.8 -
123 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00095 5.4e-05 -3.5 -
124 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00095 2.7e-05 -2.2 -
125 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00095 1.3e-05 -1.2 -
126 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.0013 1.3e-05 0.11 +
127 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 7e-05 1.3e-05 0.85 +
128 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 7e-05 6.7e-06 -1.3 -
129 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 7e-05 3.3e-06 -0.45 -
130 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00034 3.3e-06 0.5 +
131 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 4.7e-05 3.3e-05 0.9 ++
132 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 4.7e-05 7.9e-06 -3.9 -
133 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 4.7e-05 4e-06 -0.54 -
134 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00018 4e-06 0.61 +
135 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00018 1.9e-06 -1.8 -
136 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00018 9.6e-07 -0.38 -
137 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 0.00018 4.8e-07 0.025 -
138 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 5.7e-05 4.8e-07 0.19 +
139 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 2.6e-05 4.8e-07 0.79 +
140 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 2.6e-05 2.4e-07 -0.28 -
141 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 1 8.3e+03 4e-06 2.4e-07 0.52 -
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:altspec;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:nested public;train_tt_catalog:power [8337.24882893521, 9]
Attempt 14/100
Biogeme parameters read from biogeme.toml.
Model with 5 unknown parameters [max: 50]
*** Estimate b07everything_000021
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time b_cost asc_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.063 -
1 -0.5 -0.5 -0.5 0.5 1.5 9.6e+03 0.15 0.5 0.53 +
2 -0.65 -1 0 0 1 9e+03 0.068 0.5 0.36 +
3 -0.65 -1 0 0 1 9e+03 0.068 0.25 -1.5 -
4 -0.65 -1 0 0 1 9e+03 0.068 0.12 -0.28 -
5 -0.77 -1.1 -0.12 0.076 1.1 8.9e+03 0.059 0.12 0.37 +
6 -0.65 -1.1 -0.25 0.068 1 8.8e+03 0.043 0.12 0.82 +
7 -0.52 -1.2 -0.38 0.034 1.1 8.7e+03 0.034 0.12 0.77 +
8 -0.45 -1.2 -0.5 0.16 1.2 8.7e+03 0.026 0.12 0.36 +
9 -0.4 -1.3 -0.62 0.034 1.1 8.7e+03 0.012 1.2 0.92 ++
10 -0.4 -1.3 -0.62 0.034 1.1 8.7e+03 0.012 0.62 -3.9 -
11 -0.4 -1.3 -0.62 0.034 1.1 8.7e+03 0.012 0.31 -1.7 -
12 -0.4 -1.3 -0.62 0.034 1.1 8.7e+03 0.012 0.16 0.01 -
13 -0.49 -1.3 -0.78 0.017 1.1 8.7e+03 0.0043 0.16 0.75 +
14 -0.49 -1.3 -0.78 0.017 1.1 8.7e+03 0.0043 0.078 -1 -
15 -0.49 -1.3 -0.78 0.017 1.1 8.7e+03 0.0043 0.039 -0.04 -
16 -0.5 -1.3 -0.77 -0.022 1.1 8.7e+03 0.0019 0.039 0.64 +
17 -0.54 -1.2 -0.78 -0.017 1.1 8.7e+03 0.0022 0.039 0.25 +
18 -0.54 -1.2 -0.78 -0.017 1.1 8.7e+03 0.0022 0.02 -0.15 -
19 -0.56 -1.2 -0.77 -0.031 1.1 8.7e+03 0.0018 0.02 0.14 +
20 -0.56 -1.2 -0.78 -0.011 1.1 8.7e+03 0.0004 0.02 0.8 +
21 -0.56 -1.2 -0.78 -0.011 1.1 8.7e+03 0.0004 0.0098 -0.47 -
22 -0.56 -1.3 -0.78 -0.0094 1.1 8.7e+03 0.00055 0.0098 0.26 +
23 -0.57 -1.2 -0.78 -0.012 1.1 8.7e+03 0.0003 0.0098 0.12 +
24 -0.57 -1.2 -0.78 -0.012 1.1 8.7e+03 0.0003 0.0049 -1.5 -
25 -0.57 -1.3 -0.78 -0.0095 1.1 8.7e+03 8.4e-05 0.0049 0.88 +
26 -0.57 -1.3 -0.78 -0.0095 1.1 8.7e+03 8.4e-05 0.0024 -5.2 -
27 -0.57 -1.3 -0.78 -0.0095 1.1 8.7e+03 8.4e-05 0.0012 -3.5 -
28 -0.57 -1.3 -0.78 -0.0095 1.1 8.7e+03 8.4e-05 0.00061 -0.71 -
29 -0.57 -1.3 -0.78 -0.01 1.1 8.7e+03 7.5e-05 0.00061 0.46 +
30 -0.57 -1.3 -0.78 -0.0095 1.1 8.7e+03 6e-05 0.00061 0.53 +
31 -0.57 -1.3 -0.78 -0.0096 1.1 8.7e+03 1.2e-05 0.00061 0.84 +
32 -0.57 -1.3 -0.78 -0.0096 1.1 8.7e+03 1.2e-05 0.00031 -0.85 -
33 -0.57 -1.3 -0.78 -0.0096 1.1 8.7e+03 1.2e-05 0.00015 0.099 -
34 -0.57 -1.3 -0.78 -0.0096 1.1 8.7e+03 6e-06 0.00015 0.81 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000022
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time square_tt_coef cube_tt_coef b_cost asc_car_ref asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -0.55 -
1 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 5 1.1 ++
2 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 2.5 -11 -
3 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 1.2 -9 -
4 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.62 -7.4 -
5 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.31 -3.4 -
6 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.16 -1.8 -
7 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.078 -1.6 -
8 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.039 -1.9 -
9 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.02 -2.6 -
10 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.0098 -3.3 -
11 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.0049 -4 -
12 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.0024 -4.9 -
13 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.0012 -2.3 -
14 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.00061 -1.2 -
15 -0.5 -0.5 -0.02 -0.5 0 0 -0.14 0.027 -0.021 -0.0063 9.3e+03 4.3 0.00031 -0.23 -
16 -0.5 -0.5 -0.02 -0.5 0.00031 -0.00031 -0.14 0.026 -0.022 -0.0066 9.2e+03 2.9 0.00031 0.64 +
17 -0.5 -0.5 -0.02 -0.5 0.00061 -0.00023 -0.14 0.026 -0.022 -0.0066 9.2e+03 1.4 0.00031 0.77 +
18 -0.5 -0.5 -0.02 -0.5 0.00092 -0.00026 -0.14 0.026 -0.022 -0.0066 9.2e+03 0.14 0.0031 0.99 ++
19 -0.5 -0.5 -0.02 -0.5 0.004 -0.00026 -0.14 0.026 -0.022 -0.0067 9.2e+03 0.18 0.031 1 ++
20 -0.51 -0.49 -0.02 -0.53 0.034 -0.0004 -0.15 0.018 -0.03 -0.0071 9.2e+03 0.27 0.31 1 ++
21 -0.55 -0.31 -0.019 -0.82 0.23 -0.0012 -0.45 0.0065 -0.11 -0.016 8.9e+03 2.2 0.31 0.74 +
22 -0.61 -0.0073 -0.012 -0.97 0.031 -0.00035 -0.76 0.076 -0.16 -0.033 8.7e+03 6.8 0.31 0.77 +
23 -0.83 0.22 0.0059 -1.3 -0.026 -0.00018 -0.76 0.1 -0.19 -0.06 8.6e+03 6.3 3.1 1.1 ++
24 -0.83 0.22 0.0059 -1.3 -0.026 -0.00018 -0.76 0.1 -0.19 -0.06 8.6e+03 6.3 0.62 -5.9 -
25 -0.83 0.22 0.0059 -1.3 -0.026 -0.00018 -0.76 0.1 -0.19 -0.06 8.6e+03 6.3 0.31 -0.3 -
26 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.31 0.46 +
27 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.15 -4.1 -
28 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.077 -4 -
29 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.038 -3.8 -
30 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.019 -3.8 -
31 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.0096 -4 -
32 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.0048 -4.2 -
33 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.0024 -4.3 -
34 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.0012 -3 -
35 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.0006 -2 -
36 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.0003 -1.2 -
37 -0.88 0.52 0.049 -1.6 -0.073 0.00018 -0.75 0.056 -0.2 -0.099 8.6e+03 16 0.00015 -0.21 -
38 -0.88 0.52 0.049 -1.6 -0.073 3.4e-05 -0.76 0.056 -0.2 -0.099 8.5e+03 8 0.00015 0.75 +
39 -0.88 0.52 0.049 -1.6 -0.073 5.7e-05 -0.76 0.056 -0.2 -0.099 8.5e+03 4.4 0.00015 0.63 +
40 -0.88 0.52 0.049 -1.6 -0.073 4.9e-05 -0.76 0.056 -0.2 -0.099 8.5e+03 0.11 0.0015 0.99 ++
41 -0.88 0.52 0.049 -1.6 -0.072 4.2e-05 -0.76 0.057 -0.2 -0.099 8.5e+03 0.028 0.015 1 ++
42 -0.9 0.52 0.051 -1.6 -0.061 -5.6e-06 -0.76 0.072 -0.18 -0.1 8.5e+03 0.4 0.15 1 ++
43 -0.99 0.58 0.09 -1.7 -0.085 8.7e-05 -0.77 0.14 -0.13 -0.13 8.5e+03 12 1.5 0.93 ++
44 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 1.5 0.87 +
45 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.048 -0.83 -
46 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.024 -0.95 -
47 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.012 -1.1 -
48 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.006 -1.1 -
49 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.003 -0.48 -
50 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.0015 -0.15 -
51 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.00075 -0.044 -
52 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.00038 -0.018 -
53 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 0.00019 -0.016 -
54 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 9.4e-05 -0.02 -
55 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 4.7e-05 -0.023 -
56 -1.1 0.87 0.93 -2.1 -0.11 0.00022 -0.81 0.23 -0.15 -0.56 8.5e+03 10 2.3e-05 -0.025 -
57 -1.1 0.87 0.93 -2.1 -0.11 0.0002 -0.81 0.23 -0.15 -0.56 8.5e+03 2.8 2.3e-05 0.74 +
58 -1.1 0.87 0.93 -2.1 -0.11 0.0002 -0.81 0.23 -0.15 -0.56 8.5e+03 0.19 0.00023 1 ++
59 -1.1 0.87 0.93 -2.1 -0.11 0.0002 -0.81 0.23 -0.15 -0.56 8.5e+03 0.048 0.0023 1 ++
60 -1.1 0.87 0.93 -2.1 -0.1 0.00019 -0.81 0.23 -0.15 -0.56 8.5e+03 0.35 0.023 1 ++
61 -1.1 0.89 0.93 -2.1 -0.1 0.00017 -0.79 0.23 -0.13 -0.56 8.5e+03 0.17 0.23 1 ++
62 -1.2 0.95 0.91 -2.1 -0.099 0.00017 -0.79 0.2 -0.11 -0.57 8.5e+03 0.021 2.3 1 ++
63 -1.2 0.95 0.93 -2.1 -0.099 0.00017 -0.79 0.2 -0.11 -0.58 8.5e+03 0.00026 23 1 ++
64 -1.2 0.95 0.93 -2.1 -0.099 0.00017 -0.79 0.2 -0.11 -0.58 8.5e+03 6e-05 2.3e+02 1 ++
65 -1.2 0.95 0.92 -2.1 -0.099 0.00017 -0.79 0.2 -0.11 -0.58 8.5e+03 0.0087 2.3e+03 1 ++
66 -1.2 0.95 0.92 -2.1 -0.099 0.00017 -0.79 0.2 -0.11 -0.58 8.5e+03 2.5e-06 2.3e+03 1 ++
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000023
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 -0.6 0.25 -0.077 -0.012 -1 -0.041 1.4 -0.5 -0.28 -0.21 -0.29 -0.018 8.9e+03 0.071 1 0.89 +
1 -1.2 1.2 0.33 0.019 -1.4 -0.022 0.75 -0.81 0.14 -0.6 -0.12 -0.069 8.3e+03 0.009 10 1 ++
2 -1.1 1.6 0.54 0.62 -1.8 -0.72 0.12 -0.71 0.32 -1 -0.091 -0.49 8.2e+03 0.015 10 0.63 +
3 -1.3 1.6 0.56 0.57 -1.6 -0.6 0.28 -0.71 0.23 -1.1 -0.074 -0.52 8.2e+03 0.001 1e+02 1.1 ++
4 -1.3 1.5 0.56 0.58 -1.6 -0.59 0.33 -0.71 0.22 -1.1 -0.072 -0.51 8.2e+03 0.00013 1e+03 1 ++
5 -1.3 1.5 0.56 0.58 -1.6 -0.59 0.33 -0.71 0.22 -1.1 -0.072 -0.51 8.2e+03 2.5e-07 1e+03 1 ++
Considering neighbor 2/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:boxcox [8187.576948605011, 12]
Attempt 15/100
Biogeme parameters read from biogeme.toml.
Model with 6 unknown parameters [max: 50]
*** Estimate b07everything_000024
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st b_cost asc_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.14 -
1 -0.5 -0.5 -0.5 -0.5 0.5 2.3 9.1e+03 0.2 0.5 0.28 +
2 0 -0.67 -0.61 -0.55 0 2.1 8.7e+03 0.12 0.5 0.43 +
3 0 -0.67 -0.61 -0.55 0 2.1 8.7e+03 0.12 0.25 0.068 -
4 -0.25 -0.79 -0.64 -0.57 0.25 2.1 8.5e+03 0.049 0.25 0.65 +
5 -0.33 -0.84 -0.61 -0.69 0 2 8.5e+03 0.018 0.25 0.45 +
6 -0.33 -0.84 -0.61 -0.69 0 2 8.5e+03 0.018 0.12 -0.78 -
7 -0.34 -0.71 -0.53 -0.72 0.1 2 8.5e+03 0.021 0.12 0.27 +
8 -0.34 -0.71 -0.53 -0.72 0.1 2 8.5e+03 0.021 0.062 0.013 -
9 -0.34 -0.78 -0.57 -0.66 0.039 2 8.5e+03 0.0059 0.062 0.83 +
10 -0.39 -0.71 -0.52 -0.68 0.011 2 8.5e+03 0.0028 0.062 0.59 +
11 -0.39 -0.71 -0.52 -0.68 0.011 2 8.5e+03 0.0028 0.031 -5.5 -
12 -0.39 -0.71 -0.52 -0.68 0.011 2 8.5e+03 0.0028 0.016 -2.7 -
13 -0.39 -0.71 -0.52 -0.68 0.011 2 8.5e+03 0.0028 0.0078 -1.1 -
14 -0.39 -0.71 -0.52 -0.68 0.011 2 8.5e+03 0.0028 0.0039 0.093 -
15 -0.4 -0.72 -0.52 -0.67 0.015 2 8.5e+03 0.0012 0.0039 0.58 +
16 -0.4 -0.72 -0.53 -0.68 0.011 2 8.5e+03 0.00036 0.0039 0.55 +
17 -0.4 -0.72 -0.53 -0.68 0.011 2 8.5e+03 0.00036 0.002 -1.4 -
18 -0.4 -0.72 -0.53 -0.68 0.011 2 8.5e+03 0.00036 0.00098 -0.23 -
19 -0.4 -0.72 -0.53 -0.68 0.0099 2 8.5e+03 0.00043 0.00098 0.41 +
20 -0.4 -0.72 -0.53 -0.68 0.011 2 8.5e+03 0.00025 0.00098 0.88 +
21 -0.4 -0.72 -0.53 -0.68 0.0098 2 8.5e+03 0.00018 0.00098 0.9 +
22 -0.4 -0.72 -0.53 -0.68 0.009 2 8.5e+03 0.00014 0.00098 0.79 +
23 -0.4 -0.72 -0.53 -0.68 0.0094 2 8.5e+03 0.00023 0.00098 0.7 +
24 -0.4 -0.72 -0.53 -0.68 0.0084 2 8.5e+03 0.00021 0.00098 0.67 +
25 -0.4 -0.72 -0.53 -0.68 0.0089 2 8.5e+03 0.00018 0.00098 0.71 +
26 -0.4 -0.72 -0.54 -0.68 0.0082 2 8.5e+03 0.00012 0.00098 0.79 +
27 -0.4 -0.72 -0.54 -0.68 0.0085 2 8.5e+03 0.00015 0.00098 0.7 +
28 -0.4 -0.72 -0.54 -0.68 0.008 2 8.5e+03 7.6e-05 0.00098 0.75 +
29 -0.41 -0.71 -0.54 -0.68 0.0083 2 8.5e+03 5e-05 0.0098 0.92 ++
30 -0.41 -0.71 -0.54 -0.68 0.0083 2 8.5e+03 5e-05 0.0049 -4.3 -
31 -0.41 -0.71 -0.54 -0.68 0.0083 2 8.5e+03 5e-05 0.0024 -1 -
32 -0.41 -0.71 -0.54 -0.68 0.0083 2 8.5e+03 5e-05 0.0012 -0.09 -
33 -0.41 -0.72 -0.54 -0.68 0.0081 2 8.5e+03 0.0001 0.0012 0.18 +
34 -0.41 -0.72 -0.54 -0.68 0.0083 2 8.5e+03 2e-05 0.0012 0.64 +
35 -0.41 -0.72 -0.54 -0.68 0.0083 2 8.5e+03 2e-05 0.00061 -2.4 -
36 -0.41 -0.72 -0.54 -0.68 0.0083 2 8.5e+03 2e-05 0.00031 -0.29 -
37 -0.41 -0.72 -0.54 -0.68 0.0082 2 8.5e+03 2.1e-05 0.00031 0.59 +
38 -0.41 -0.72 -0.54 -0.68 0.0082 2 8.5e+03 4.5e-06 0.00031 0.87 +
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:no_seg;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:linear [8471.093659272625, 6]
Attempt 16/100
Biogeme parameters read from biogeme.toml.
Model with 6 unknown parameters [max: 50]
*** Estimate b07everything_000025
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time b_cost asc_car_ref asc_car_diff_GA Function Relgrad Radius Rho
0 -0.96 1 -0.72 -0.64 -0.31 -0.48 8.5e+03 0.043 10 1.1 ++
1 -1.1 1.4 -1.1 -0.69 -0.0034 -1.1 8.3e+03 0.0087 1e+02 1.1 ++
2 -1.1 1.5 -1.2 -0.7 0.014 -1.3 8.3e+03 0.0003 1e+03 1 ++
3 -1.1 1.5 -1.2 -0.7 0.014 -1.3 8.3e+03 5.2e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8313.612716874131, 6]
Attempt 17/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000026
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com lambda_travel_t b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 1 0 0 0 0 1 1.1e+04 0.26 0.5 -0.4 -
1 -0.5 -0.5 -0.5 1 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 0.22 0.5 0.24 +
2 -0.32 -0.43 -0.49 0.96 -0.44 0 0.56 -0.38 1.3 9.2e+03 0.088 0.5 0.7 +
3 -0.21 -0.9 -0.5 0.92 -0.55 -0.13 0.062 -0.72 1.1 9e+03 0.093 0.5 0.18 +
4 -0.21 -0.9 -0.5 0.92 -0.55 -0.13 0.062 -0.72 1.1 9e+03 0.093 0.25 -0.16 -
5 -0.32 -0.93 -0.5 0.88 -0.69 -0.38 0.24 -0.5 1.3 8.7e+03 0.039 0.25 0.79 +
6 -0.32 -0.93 -0.5 0.88 -0.69 -0.38 0.24 -0.5 1.3 8.7e+03 0.039 0.12 -0.045 -
7 -0.32 -0.93 -0.5 0.88 -0.69 -0.38 0.24 -0.5 1.3 8.7e+03 0.039 0.062 -0.24 -
8 -0.26 -1 -0.49 0.82 -0.75 -0.32 0.18 -0.57 1.2 8.6e+03 0.027 0.062 0.84 +
9 -0.19 -1.1 -0.43 0.75 -0.82 -0.38 0.12 -0.5 1.3 8.6e+03 0.017 0.62 0.92 ++
10 -0.19 -1.1 -0.43 0.75 -0.82 -0.38 0.12 -0.5 1.3 8.6e+03 0.017 0.31 -0.56 -
11 -0.19 -1.1 -0.43 0.75 -0.82 -0.38 0.12 -0.5 1.3 8.6e+03 0.017 0.16 -0.11 -
12 -0.038 -1.2 -0.39 0.6 -0.97 -0.54 -0.04 -0.42 1.1 8.5e+03 0.039 0.16 0.37 +
13 -0.11 -1.3 -0.4 0.58 -1.1 -0.49 -0.075 -0.41 1.2 8.5e+03 0.037 0.16 0.53 +
14 -0.041 -1.3 -0.4 0.54 -1.2 -0.64 -0.064 -0.36 1.2 8.5e+03 0.032 0.16 0.27 +
15 -0.041 -1.3 -0.4 0.54 -1.2 -0.64 -0.064 -0.36 1.2 8.5e+03 0.032 0.078 -0.011 -
16 -0.0032 -1.3 -0.41 0.54 -1.3 -0.59 -0.14 -0.42 1.2 8.4e+03 0.014 0.078 0.76 +
17 0.039 -1.4 -0.41 0.51 -1.3 -0.65 -0.15 -0.41 1.2 8.4e+03 0.013 0.078 0.88 +
18 0.066 -1.4 -0.42 0.5 -1.4 -0.64 -0.19 -0.43 1.2 8.4e+03 0.017 0.078 0.65 +
19 0.14 -1.4 -0.42 0.48 -1.5 -0.71 -0.21 -0.43 1.2 8.4e+03 0.014 0.078 0.73 +
20 0.15 -1.4 -0.43 0.47 -1.6 -0.71 -0.22 -0.43 1.2 8.4e+03 0.0096 0.078 0.58 +
21 0.23 -1.5 -0.43 0.45 -1.6 -0.73 -0.27 -0.47 1.2 8.4e+03 0.012 0.078 0.33 +
22 0.28 -1.5 -0.44 0.43 -1.7 -0.8 -0.24 -0.44 1.2 8.4e+03 0.019 0.078 0.17 +
23 0.27 -1.5 -0.46 0.42 -1.8 -0.79 -0.26 -0.46 1.2 8.4e+03 0.0075 0.078 0.58 +
24 0.33 -1.5 -0.48 0.41 -1.9 -0.82 -0.25 -0.5 1.2 8.4e+03 0.0027 0.078 0.78 +
25 0.31 -1.6 -0.51 0.37 -1.9 -0.82 -0.2 -0.51 1.1 8.4e+03 0.0052 0.078 0.61 +
26 0.32 -1.6 -0.53 0.38 -2 -0.79 -0.16 -0.52 1 8.4e+03 0.0053 0.078 0.28 +
27 0.32 -1.6 -0.53 0.38 -2 -0.79 -0.16 -0.52 1 8.4e+03 0.0053 0.039 -0.91 -
28 0.34 -1.6 -0.53 0.39 -2 -0.79 -0.14 -0.5 1 8.4e+03 0.0026 0.039 0.23 +
29 0.32 -1.6 -0.53 0.35 -2 -0.8 -0.15 -0.51 1 8.4e+03 0.00077 0.039 0.62 +
30 0.32 -1.6 -0.53 0.35 -2 -0.8 -0.15 -0.51 1 8.4e+03 0.00077 0.016 -0.78 -
31 0.32 -1.6 -0.53 0.37 -2 -0.79 -0.15 -0.51 1 8.4e+03 0.0018 0.016 0.16 +
32 0.32 -1.6 -0.53 0.37 -2 -0.79 -0.15 -0.51 1 8.4e+03 0.0018 0.0082 -0.26 -
33 0.31 -1.6 -0.53 0.37 -2 -0.8 -0.14 -0.51 1 8.4e+03 0.00064 0.0082 0.57 +
34 0.31 -1.6 -0.53 0.36 -2 -0.8 -0.15 -0.51 1 8.4e+03 0.0016 0.0082 0.31 +
35 0.31 -1.6 -0.53 0.36 -2.1 -0.79 -0.14 -0.51 1 8.4e+03 0.0012 0.0082 0.74 +
36 0.3 -1.6 -0.53 0.36 -2.1 -0.79 -0.14 -0.5 1 8.4e+03 0.001 0.0082 0.16 +
37 0.31 -1.6 -0.53 0.36 -2.1 -0.79 -0.14 -0.51 1 8.4e+03 0.00045 0.082 0.96 ++
38 0.31 -1.6 -0.53 0.36 -2.1 -0.79 -0.14 -0.51 1 8.4e+03 0.00045 0.041 -6 -
39 0.31 -1.6 -0.53 0.36 -2.1 -0.79 -0.14 -0.51 1 8.4e+03 0.00045 0.021 -1.6 -
40 0.31 -1.6 -0.53 0.36 -2.1 -0.79 -0.14 -0.51 1 8.4e+03 0.00045 0.01 -0.15 -
41 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 0.00018 0.01 0.46 +
42 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 0.00018 0.0051 -3.7 -
43 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 0.00018 0.0026 -0.34 -
44 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 0.00016 0.0026 0.51 +
45 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 0.00016 0.0013 -1.1 -
46 0.31 -1.6 -0.54 0.36 -2.1 -0.79 -0.14 -0.51 1 8.4e+03 9.7e-05 0.0013 0.22 +
47 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 8.1e-05 0.0013 0.4 +
48 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 8.1e-05 0.00064 -0.36 -
49 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 6.8e-05 0.00064 0.45 +
50 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 1.7e-05 0.00064 0.67 +
51 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 1.7e-05 0.00032 -0.43 -
52 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 1.3e-05 0.00032 0.4 +
53 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 1.3e-05 0.00016 -0.31 -
54 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 1.1e-05 0.00016 0.4 +
55 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 1.1e-05 8e-05 0.011 -
56 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 6.6e-06 8e-05 0.62 +
57 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 6.6e-06 4e-05 0.057 -
58 0.31 -1.6 -0.54 0.36 -2.1 -0.8 -0.14 -0.51 1 8.4e+03 1.3e-06 4e-05 0.66 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000027
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -2 -
1 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.29 -
2 -0.25 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 2.5 1 ++
3 -0.25 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 1.2 -4.4 -
4 -0.25 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 0.62 -2.8 -
5 -0.25 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 0.31 -1.3 -
6 -0.44 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.041 -0.018 -0.0059 0.015 9.4e+03 12 0.31 0.2 +
7 -0.44 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.041 -0.018 -0.0059 0.015 9.4e+03 12 0.16 -0.36 -
8 -0.44 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.041 -0.018 -0.0059 0.015 9.4e+03 12 0.078 -0.067 -
9 -0.44 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.041 -0.018 -0.0059 0.015 9.4e+03 12 0.039 0.012 -
10 -0.44 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.041 -0.018 -0.0059 0.015 9.4e+03 12 0.02 0.031 -
11 -0.44 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.041 -0.018 -0.0059 0.015 9.4e+03 12 0.0098 0.034 -
12 -0.44 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.041 -0.018 -0.0059 0.015 9.4e+03 12 0.0049 0.033 -
13 -0.44 -0.2 -0.0092 -0.56 0.23 0.00043 -0.45 0.2 0.043 -0.018 -0.006 0.017 9.2e+03 6.5 0.0049 0.39 +
14 -0.44 -0.2 -0.0092 -0.56 0.23 0.00043 -0.45 0.2 0.043 -0.018 -0.006 0.017 9.2e+03 6.5 0.0024 -0.38 -
15 -0.44 -0.2 -0.0068 -0.56 0.22 -0.002 -0.45 0.2 0.045 -0.016 -0.0085 0.02 9.1e+03 3.9 0.0024 0.53 +
16 -0.44 -0.19 -0.0067 -0.55 0.22 -0.0016 -0.45 0.2 0.046 -0.016 -0.0085 0.02 9.1e+03 2.5 0.024 1.3 ++
17 -0.44 -0.19 -0.0067 -0.55 0.22 -0.0016 -0.45 0.2 0.046 -0.016 -0.0085 0.02 9.1e+03 2.5 0.012 -3 -
18 -0.44 -0.19 -0.0067 -0.55 0.22 -0.0016 -0.45 0.2 0.046 -0.016 -0.0085 0.02 9.1e+03 2.5 0.0061 -3.6 -
19 -0.44 -0.19 -0.0067 -0.55 0.22 -0.0016 -0.45 0.2 0.046 -0.016 -0.0085 0.02 9.1e+03 2.5 0.0031 -3.2 -
20 -0.44 -0.19 -0.0067 -0.55 0.22 -0.0016 -0.45 0.2 0.046 -0.016 -0.0085 0.02 9.1e+03 2.5 0.0015 -2.1 -
21 -0.44 -0.19 -0.0067 -0.55 0.22 -0.0016 -0.45 0.2 0.046 -0.016 -0.0085 0.02 9.1e+03 2.5 0.00076 -1.3 -
22 -0.44 -0.19 -0.0067 -0.55 0.22 -0.0016 -0.45 0.2 0.046 -0.016 -0.0085 0.02 9.1e+03 2.5 0.00038 -0.2 -
23 -0.44 -0.19 -0.0064 -0.55 0.22 -0.0013 -0.45 0.2 0.046 -0.017 -0.0089 0.021 9.1e+03 2.1 0.0038 1 ++
24 -0.44 -0.19 -0.0063 -0.55 0.22 -0.0011 -0.45 0.19 0.047 -0.017 -0.0089 0.021 9.1e+03 6 0.0038 0.24 +
25 -0.44 -0.19 -0.0063 -0.55 0.22 -0.0011 -0.45 0.19 0.047 -0.017 -0.0089 0.021 9.1e+03 6 0.0019 0.069 -
26 -0.44 -0.19 -0.0063 -0.55 0.22 -0.0011 -0.45 0.19 0.047 -0.017 -0.0089 0.021 9.1e+03 6 0.00095 -0.071 -
27 -0.44 -0.19 -0.0063 -0.55 0.22 -0.0011 -0.45 0.19 0.047 -0.017 -0.0089 0.021 9.1e+03 6 0.00048 -0.16 -
28 -0.44 -0.19 -0.0063 -0.55 0.22 -0.0011 -0.45 0.19 0.047 -0.017 -0.0089 0.021 9.1e+03 6 0.00024 -0.15 -
29 -0.44 -0.19 -0.0061 -0.55 0.22 -0.0013 -0.45 0.19 0.047 -0.017 -0.0092 0.022 9.1e+03 2.4 0.00024 0.27 +
30 -0.44 -0.19 -0.0061 -0.55 0.22 -0.0013 -0.45 0.19 0.047 -0.017 -0.0092 0.022 9.1e+03 2.4 0.00012 -0.3 -
31 -0.44 -0.19 -0.006 -0.55 0.22 -0.0012 -0.45 0.19 0.047 -0.017 -0.0093 0.022 9.1e+03 0.12 0.00012 0.78 +
32 -0.44 -0.19 -0.006 -0.55 0.22 -0.0012 -0.45 0.19 0.047 -0.017 -0.0093 0.022 9.1e+03 0.12 0.0012 1 ++
33 -0.44 -0.19 -0.006 -0.55 0.22 -0.0012 -0.45 0.19 0.047 -0.017 -0.0093 0.022 9.1e+03 0.13 0.012 1 ++
34 -0.43 -0.19 -0.0058 -0.55 0.22 -0.0012 -0.46 0.18 0.049 -0.017 -0.0095 0.024 9e+03 0.098 0.12 1 ++
35 -0.42 -0.15 -0.0047 -0.53 0.18 -0.001 -0.46 0.061 0.064 -0.022 -0.011 0.045 8.9e+03 0.04 1.2 0.98 ++
36 -0.72 0.65 0.46 -0.87 0.0086 -0.00031 -1.5 -0.7 -0.45 -0.037 -0.36 -0.26 8.4e+03 0.59 12 1 ++
37 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 1.2e+02 1.2 ++
38 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 60 -5.8e+03 -
39 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 30 -3.2e+03 -
40 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 15 -2e+03 -
41 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 7.5 -8.9e+02 -
42 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 3.7 -3.9e+02 -
43 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 1.9 -1.3e+02 -
44 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 0.93 -36 -
45 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 0.47 -8.3 -
46 -0.66 0.73 0.64 -1.3 -0.011 -0.00021 -1.7 -0.8 -0.37 -0.1 -0.47 -0.35 8.3e+03 1.8 0.23 -2.5 -
47 -0.72 0.69 0.64 -1.5 -0.11 0.0002 -1.8 -0.74 -0.37 -0.096 -0.48 -0.38 8.3e+03 15 0.23 0.17 +
48 -0.6 0.8 0.64 -1.7 -0.083 9e-05 -1.7 -0.83 -0.35 -0.1 -0.48 -0.39 8.3e+03 4 0.23 0.9 +
49 -0.6 0.8 0.65 -2 -0.11 0.00021 -1.8 -0.8 -0.29 -0.095 -0.48 -0.38 8.3e+03 9.3 0.23 0.74 +
50 -0.51 0.83 0.66 -2.2 -0.11 0.0002 -1.8 -0.84 -0.24 -0.12 -0.5 -0.36 8.3e+03 1.8 2.3 0.97 ++
51 -0.42 0.77 0.64 -2.3 -0.11 0.00021 -1.8 -0.83 -0.22 -0.14 -0.56 -0.36 8.3e+03 0.033 23 0.99 ++
52 -0.43 0.77 0.62 -2.2 -0.11 0.00021 -1.8 -0.83 -0.22 -0.13 -0.59 -0.36 8.3e+03 0.0011 2.3e+02 1 ++
53 -0.42 0.76 0.62 -2.2 -0.11 0.00021 -1.8 -0.83 -0.22 -0.13 -0.6 -0.36 8.3e+03 0.00022 2.3e+03 1 ++
54 -0.42 0.76 0.62 -2.2 -0.11 0.00021 -1.8 -0.83 -0.22 -0.13 -0.6 -0.36 8.3e+03 0.00035 2.3e+04 1 ++
55 -0.42 0.76 0.62 -2.2 -0.11 0.00021 -1.8 -0.83 -0.22 -0.13 -0.6 -0.36 8.3e+03 1.1e-06 2.3e+04 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 18/100
Biogeme parameters read from biogeme.toml.
Model with 5 unknown parameters [max: 50]
*** Estimate b07everything_000028
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st b_cost asc_car Function Relgrad Radius Rho
0 -0.75 -0.56 -0.47 -0.73 -0.27 8.7e+03 0.038 10 1.1 ++
1 -0.71 -0.88 -0.64 -0.84 -0.0093 8.6e+03 0.0053 1e+02 1.1 ++
2 -0.71 -0.92 -0.69 -0.87 0.0087 8.6e+03 0.00011 1e+03 1 ++
3 -0.71 -0.92 -0.69 -0.87 0.0087 8.6e+03 7.3e-08 1e+03 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000029
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 -1 0.97 0.12 0.035 -0.55 -0.41 -0.66 -0.29 -0.4 -0.0026 -0.12 8.5e+03 0.042 10 1.1 ++
1 -1.3 1.3 0.35 0.36 -0.83 -0.56 -0.75 0.02 -1 -0.057 -0.49 8.2e+03 0.01 1e+02 1.1 ++
2 -1.5 1.3 0.5 0.54 -0.87 -0.6 -0.78 0.034 -1.2 -0.056 -0.54 8.2e+03 0.00076 1e+03 1 ++
3 -1.5 1.4 0.52 0.56 -0.87 -0.6 -0.78 0.035 -1.2 -0.056 -0.54 8.2e+03 6.2e-06 1e+04 1 ++
4 -1.5 1.4 0.52 0.56 -0.87 -0.6 -0.78 0.035 -1.2 -0.056 -0.54 8.2e+03 5.1e-10 1e+04 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8228.457253921582, 11]
Attempt 19/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000030
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.42 -
1 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.5 0.19 +
2 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.25 0.19 -
3 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.12 0.19 -
4 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.062 0.19 -
5 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.031 0.19 -
6 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.016 0.19 -
7 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.0078 -2 -
8 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.0039 -1.7 -
9 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.002 -1.4 -
10 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.00098 -0.96 -
11 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 1e+04 6.2 0.00049 -0.32 -
12 -0.5 -0.5 -0.5 -0.00049 -0.00049 -0.5 0.5 0.5 -0.5 1.5 1e+04 4.5 0.00049 0.3 +
13 -0.5 -0.5 -0.5 -0.00082 -0.00028 -0.5 0.5 0.5 -0.5 1.5 1e+04 0.95 0.0049 1.3 ++
14 -0.5 -0.5 -0.5 -0.0043 -0.00019 -0.5 0.49 0.5 -0.5 1.5 9.9e+03 3 0.049 0.95 ++
15 -0.48 -0.48 -0.49 -0.038 -0.00021 -0.49 0.45 0.51 -0.49 1.5 9.7e+03 4.9 0.049 0.88 +
16 -0.46 -0.47 -0.48 -0.068 0.00095 -0.48 0.4 0.51 -0.47 1.5 9.6e+03 5.3 0.049 0.59 +
17 -0.44 -0.46 -0.48 -0.091 0.00011 -0.47 0.35 0.52 -0.47 1.4 9.4e+03 4.5 0.049 0.9 +
18 -0.42 -0.46 -0.47 -0.1 0.00099 -0.46 0.3 0.52 -0.46 1.4 9.3e+03 4.2 0.049 0.57 +
19 -0.4 -0.46 -0.47 -0.1 0.00045 -0.45 0.25 0.51 -0.46 1.4 9.2e+03 2.6 0.49 1 ++
20 -0.24 -0.52 -0.47 0.072 -0.0021 -0.39 -0.24 0.43 -0.44 1.2 9e+03 13 0.49 0.33 +
21 -0.24 -0.52 -0.47 0.072 -0.0021 -0.39 -0.24 0.43 -0.44 1.2 9e+03 13 0.24 -1.9 -
22 -0.24 -0.52 -0.47 0.072 -0.0021 -0.39 -0.24 0.43 -0.44 1.2 9e+03 13 0.12 -0.21 -
23 -0.26 -0.56 -0.49 0.19 -0.00066 -0.43 -0.21 0.37 -0.48 1.3 8.9e+03 7 0.12 0.41 +
24 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.12 0.68 +
25 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.061 -0.18 -
26 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.031 -0.32 -
27 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.015 -0.4 -
28 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.0076 -0.66 -
29 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.0038 -0.93 -
30 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.0019 -1.1 -
31 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.00095 -1.3 -
32 -0.27 -0.52 -0.43 0.099 -0.00033 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 5.6 0.00048 -0.06 -
33 -0.27 -0.52 -0.43 0.099 -0.0008 -0.53 -0.34 0.29 -0.46 1.2 8.8e+03 2.9 0.00048 0.61 +
34 -0.27 -0.52 -0.43 0.1 -0.00065 -0.53 -0.34 0.28 -0.46 1.2 8.8e+03 1.7 0.0048 1.1 ++
35 -0.27 -0.53 -0.43 0.1 -0.00073 -0.53 -0.33 0.28 -0.47 1.2 8.7e+03 1.6 0.048 0.94 ++
36 -0.29 -0.58 -0.44 0.15 -0.00082 -0.57 -0.3 0.25 -0.48 1.2 8.7e+03 4.5 0.048 0.72 +
37 -0.29 -0.57 -0.43 0.1 -0.00069 -0.59 -0.33 0.23 -0.48 1.2 8.7e+03 0.56 0.48 0.95 ++
38 -0.41 -0.83 -0.42 -0.09 0.00017 -1.1 -0.5 -0.19 -0.52 1.3 8.5e+03 4.7 0.48 0.54 +
39 -0.41 -0.83 -0.42 -0.09 0.00017 -1.1 -0.5 -0.19 -0.52 1.3 8.5e+03 4.7 0.24 -3.8 -
40 -0.41 -0.83 -0.42 -0.09 0.00017 -1.1 -0.5 -0.19 -0.52 1.3 8.5e+03 4.7 0.12 -1 -
41 -0.41 -0.83 -0.42 -0.09 0.00017 -1.1 -0.5 -0.19 -0.52 1.3 8.5e+03 4.7 0.06 -0.029 -
42 -0.38 -0.85 -0.43 -0.03 -0.00017 -1.1 -0.54 -0.19 -0.51 1.3 8.5e+03 3.5 0.06 0.46 +
43 -0.38 -0.85 -0.43 -0.03 -0.00017 -1.1 -0.54 -0.19 -0.51 1.3 8.5e+03 3.5 0.03 -0.73 -
44 -0.37 -0.84 -0.43 -0.058 -8.3e-05 -1.1 -0.57 -0.19 -0.5 1.3 8.5e+03 7 0.03 0.6 +
45 -0.35 -0.86 -0.44 -0.028 -8.8e-05 -1.1 -0.59 -0.2 -0.5 1.3 8.5e+03 8 0.03 0.62 +
46 -0.33 -0.86 -0.44 -0.035 -0.00015 -1.1 -0.62 -0.2 -0.49 1.3 8.5e+03 3.8 0.03 0.8 +
47 -0.3 -0.89 -0.46 -0.0056 -0.00027 -1.1 -0.64 -0.22 -0.49 1.3 8.4e+03 3 0.03 0.5 +
48 -0.27 -0.9 -0.47 -0.032 -0.00012 -1.1 -0.67 -0.24 -0.48 1.2 8.4e+03 1.1 0.03 0.86 +
49 -0.26 -0.93 -0.48 -0.023 -0.00017 -1.2 -0.68 -0.25 -0.48 1.2 8.4e+03 0.26 0.3 0.94 ++
50 -0.1 -1.1 -0.61 -0.1 0.00017 -1.5 -0.8 -0.4 -0.41 1.3 8.4e+03 3.4 0.3 0.53 +
51 -0.1 -1.1 -0.61 -0.1 0.00017 -1.5 -0.8 -0.4 -0.41 1.3 8.4e+03 3.4 0.15 -1.4 -
52 -0.1 -1.1 -0.61 -0.1 0.00017 -1.5 -0.8 -0.4 -0.41 1.3 8.4e+03 3.4 0.075 -0.3 -
53 -0.047 -1.2 -0.62 -0.027 -0.00016 -1.5 -0.86 -0.41 -0.39 1.2 8.4e+03 2 0.075 0.17 +
54 -0.048 -1.2 -0.63 -0.075 0.00012 -1.6 -0.8 -0.47 -0.42 1.2 8.4e+03 12 0.075 0.46 +
55 -0.048 -1.2 -0.63 -0.075 0.00012 -1.6 -0.8 -0.47 -0.42 1.2 8.4e+03 12 0.037 -0.48 -
56 -0.048 -1.2 -0.63 -0.075 0.00012 -1.6 -0.8 -0.47 -0.42 1.2 8.4e+03 12 0.019 -0.44 -
57 -0.045 -1.2 -0.62 -0.093 9.4e-05 -1.6 -0.81 -0.47 -0.42 1.2 8.4e+03 13 0.019 0.21 +
58 -0.046 -1.2 -0.63 -0.076 7.5e-05 -1.6 -0.83 -0.45 -0.41 1.2 8.3e+03 6.6 0.019 0.75 +
59 -0.039 -1.2 -0.63 -0.067 4.4e-07 -1.6 -0.85 -0.45 -0.4 1.2 8.3e+03 5.1 0.019 0.36 +
60 -0.033 -1.2 -0.63 -0.079 7.6e-05 -1.6 -0.86 -0.45 -0.39 1.2 8.3e+03 1.5 0.019 0.7 +
61 -0.024 -1.3 -0.64 -0.078 6.9e-05 -1.6 -0.85 -0.46 -0.4 1.2 8.3e+03 1.1 0.019 0.89 +
62 -0.018 -1.3 -0.64 -0.084 9.3e-05 -1.6 -0.86 -0.46 -0.4 1.2 8.3e+03 0.73 0.19 0.95 ++
63 0.032 -1.5 -0.69 -0.091 0.00012 -1.7 -0.91 -0.46 -0.38 1.2 8.3e+03 2.7 0.19 0.62 +
64 0.032 -1.5 -0.69 -0.091 0.00012 -1.7 -0.91 -0.46 -0.38 1.2 8.3e+03 2.7 0.093 -3.3 -
65 0.032 -1.5 -0.69 -0.091 0.00012 -1.7 -0.91 -0.46 -0.38 1.2 8.3e+03 2.7 0.047 -0.83 -
66 0.078 -1.5 -0.7 -0.093 0.00014 -1.7 -0.9 -0.48 -0.4 1.2 8.3e+03 5.4 0.047 0.14 +
67 0.065 -1.5 -0.7 -0.11 0.00021 -1.7 -0.89 -0.46 -0.38 1.2 8.3e+03 1.8 0.047 0.28 +
68 0.065 -1.5 -0.7 -0.11 0.00021 -1.7 -0.89 -0.46 -0.38 1.2 8.3e+03 1.8 0.023 -0.42 -
69 0.073 -1.5 -0.7 -0.089 0.00011 -1.8 -0.92 -0.44 -0.37 1.2 8.3e+03 3.9 0.023 0.24 +
70 0.085 -1.6 -0.7 -0.096 0.00015 -1.8 -0.9 -0.46 -0.38 1.2 8.3e+03 2.6 0.023 0.73 +
71 0.082 -1.6 -0.7 -0.099 0.00016 -1.8 -0.91 -0.44 -0.37 1.2 8.3e+03 1.8 0.023 0.7 +
72 0.088 -1.6 -0.7 -0.1 0.00016 -1.8 -0.9 -0.44 -0.37 1.1 8.3e+03 0.77 0.23 0.94 ++
73 0.11 -1.8 -0.69 -0.11 0.0002 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 4.5 0.23 0.57 +
74 0.11 -1.8 -0.69 -0.11 0.0002 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 4.5 0.12 -7.9 -
75 0.11 -1.8 -0.69 -0.11 0.0002 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 4.5 0.058 -7.6 -
76 0.11 -1.8 -0.69 -0.11 0.0002 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 4.5 0.029 -2 -
77 0.11 -1.8 -0.69 -0.11 0.0002 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 4.5 0.015 -0.12 -
78 0.1 -1.8 -0.69 -0.1 0.00018 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 3.9 0.015 0.54 +
79 0.1 -1.8 -0.69 -0.1 0.00018 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 3.9 0.0073 -0.85 -
80 0.1 -1.8 -0.69 -0.1 0.00018 -1.9 -0.9 -0.37 -0.34 1 8.3e+03 3.9 0.0036 -0.28 -
81 0.1 -1.8 -0.69 -0.1 0.00018 -1.9 -0.89 -0.37 -0.34 1 8.3e+03 7.2 0.0036 0.12 +
82 0.099 -1.8 -0.69 -0.11 0.0002 -1.9 -0.89 -0.37 -0.34 1 8.3e+03 0.94 0.0036 0.67 +
83 0.099 -1.8 -0.69 -0.1 0.00018 -1.9 -0.89 -0.37 -0.34 1 8.3e+03 1.6 0.0036 0.23 +
84 0.098 -1.8 -0.69 -0.1 0.00019 -1.9 -0.89 -0.37 -0.34 1 8.3e+03 0.27 0.036 0.93 ++
85 0.097 -1.8 -0.69 -0.11 0.00019 -1.9 -0.89 -0.37 -0.34 1 8.3e+03 0.095 0.036 0.85 +
86 0.1 -1.9 -0.69 -0.11 0.0002 -2 -0.9 -0.37 -0.35 1 8.3e+03 0.54 0.036 0.58 +
87 0.1 -1.9 -0.69 -0.11 0.0002 -2 -0.9 -0.37 -0.35 1 8.3e+03 0.54 0.018 0.027 -
88 0.12 -1.9 -0.69 -0.11 0.00019 -2 -0.91 -0.37 -0.36 1 8.3e+03 0.096 0.018 0.41 +
89 0.12 -1.9 -0.69 -0.11 0.00019 -2 -0.91 -0.37 -0.36 1 8.3e+03 0.096 0.0091 -0.079 -
90 0.12 -1.9 -0.68 -0.11 0.0002 -2 -0.9 -0.36 -0.35 1 8.3e+03 0.1 0.0091 0.59 +
91 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.051 0.0091 0.75 +
92 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.051 0.0045 -1.4 -
93 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.051 0.0023 -0.096 -
94 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.16 0.0023 0.44 +
95 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.078 0.0023 0.64 +
96 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.078 0.0011 -3.1 -
97 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.078 0.00057 -1.1 -
98 0.12 -1.9 -0.68 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.013 0.00057 0.31 +
99 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.017 0.00057 0.81 +
100 0.12 -1.9 -0.68 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.0099 0.00057 0.78 +
101 0.12 -1.9 -0.68 -0.11 0.00019 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.0028 0.00057 0.59 +
102 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.01 0.00057 0.68 +
103 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.01 0.00028 -1.2 -
104 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.01 0.00014 -0.23 -
105 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.0029 0.00014 0.7 +
106 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00012 0.0014 0.91 ++
107 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00012 0.00071 -12 -
108 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00012 0.00036 -2.9 -
109 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00024 0.00036 0.86 +
110 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00024 0.00018 -4 -
111 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00024 8.9e-05 -2.4 -
112 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00024 4.4e-05 -0.33 -
113 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00057 4.4e-05 0.44 +
114 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.00031 4.4e-05 0.78 +
115 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.0002 4.4e-05 0.49 +
116 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 0.0002 2.2e-05 -1.3 -
117 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 2.2e-05 2.2e-05 0.47 +
118 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 2.2e-05 1.1e-05 -1.1 -
119 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 2.6e-05 1.1e-05 0.38 +
120 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.7e-05 1.1e-05 0.18 +
121 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.7e-05 5.6e-06 -0.79 -
122 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 8.5e-06 5.6e-06 0.42 +
123 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 8.5e-06 2.8e-06 -0.088 -
124 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.9e-05 2.8e-05 0.9 ++
125 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.9e-05 1.4e-05 -12 -
126 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.9e-05 6.9e-06 -6.1 -
127 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.9e-05 3.5e-06 -2.2 -
128 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.9e-05 1.7e-06 -1 -
129 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 1.9e-05 8.7e-07 -0.016 -
130 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 6.6e-06 8.7e-07 0.41 +
131 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 1 8.3e+03 2.3e-06 8.7e-07 0.88 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000031
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.4 -
1 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.5 0.24 +
2 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.25 0.24 -
3 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.12 0.24 -
4 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.062 0.24 -
5 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.031 0.24 -
6 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.016 0.24 -
7 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.0078 0.24 -
8 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.0039 -1.7 -
9 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.002 -1.5 -
10 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.00098 -1.1 -
11 -0.5 -0.5 -0.5 0 0 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 11 0.00049 -0.45 -
12 -0.5 -0.5 -0.5 -0.00049 -0.00049 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 8.7 0.00049 0.25 +
13 -0.5 -0.5 -0.5 -0.00071 -0.00027 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 3.5 0.0049 1.3 ++
14 -0.5 -0.5 -0.5 -0.0033 -0.00011 -0.5 0.49 0.5 -0.5 1.5 9.8e+03 11 0.0049 0.39 +
15 -0.5 -0.5 -0.5 -0.0056 -0.00022 -0.5 0.49 0.5 -0.5 1.5 9.8e+03 2.4 0.049 1.2 ++
16 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.49 0.92 ++
17 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.24 0.92 -
18 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.12 0.92 -
19 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.061 -3.7 -
20 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.031 -4.8 -
21 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.015 -6.4 -
22 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.0076 -8.3 -
23 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.0038 -9.8 -
24 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.0019 -6.1 -
25 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.00095 -4.9 -
26 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.00048 -3.8 -
27 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.00024 -2.6 -
28 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 0.00012 -1.6 -
29 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 6e-05 -0.99 -
30 -0.47 -0.49 -0.5 -0.028 -0.00012 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 3.3 3e-05 -0.44 -
31 -0.47 -0.49 -0.5 -0.028 -0.00015 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 2.9 3e-05 0.14 +
32 -0.47 -0.49 -0.5 -0.028 -0.00013 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 0.33 0.0003 1.1 ++
33 -0.47 -0.49 -0.5 -0.028 -0.00013 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 0.26 0.003 1 ++
34 -0.47 -0.49 -0.5 -0.03 -0.00013 -0.49 0.44 0.51 -0.49 1.5 9.6e+03 0.4 0.03 1 ++
35 -0.46 -0.48 -0.5 -0.04 -8e-05 -0.48 0.41 0.51 -0.48 1.5 9.5e+03 0.34 0.3 1 ++
36 -0.34 -0.47 -0.5 -0.1 0.00019 -0.42 0.11 0.5 -0.45 1.3 9.1e+03 4.7 0.3 0.86 +
37 -0.33 -0.6 -0.52 0.19 -0.0011 -0.47 0.026 0.37 -0.52 1.3 9e+03 2.1 0.3 0.27 +
38 -0.24 -0.54 -0.5 0.13 -0.00078 -0.49 -0.27 0.3 -0.5 1.2 8.9e+03 1.8 0.3 0.46 +
39 -0.31 -0.78 -0.43 0.04 -0.0004 -0.79 -0.37 0.12 -0.51 1.3 8.6e+03 4.7 0.3 0.84 +
40 -0.31 -0.78 -0.43 0.04 -0.0004 -0.79 -0.37 0.12 -0.51 1.3 8.6e+03 4.7 0.15 -1.1 -
41 -0.24 -0.88 -0.42 -0.067 2.7e-05 -0.89 -0.43 -0.032 -0.55 1.3 8.6e+03 0.15 0.15 0.37 +
42 -0.18 -1 -0.43 0.017 -0.00013 -1 -0.51 -0.17 -0.57 1.3 8.6e+03 17 0.15 0.12 +
43 -0.19 -1 -0.43 -0.016 -0.00016 -1.1 -0.66 -0.1 -0.46 1.3 8.5e+03 13 0.15 0.45 +
44 -0.19 -1 -0.43 -0.016 -0.00016 -1.1 -0.66 -0.1 -0.46 1.3 8.5e+03 13 0.075 -0.91 -
45 -0.14 -1 -0.44 -0.027 -0.00028 -1.1 -0.61 -0.18 -0.51 1.3 8.5e+03 9.4 0.075 0.57 +
46 -0.14 -1 -0.44 -0.027 -0.00028 -1.1 -0.61 -0.18 -0.51 1.3 8.5e+03 9.4 0.037 -0.036 -
47 -0.14 -1.1 -0.44 -0.025 -0.00015 -1.2 -0.59 -0.2 -0.52 1.3 8.5e+03 2.2 0.037 0.67 +
48 -0.14 -1.1 -0.44 -0.025 -0.00015 -1.2 -0.59 -0.2 -0.52 1.3 8.5e+03 2.2 0.019 -0.46 -
49 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.019 0.57 +
50 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.0093 -0.68 -
51 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.0047 -0.36 -
52 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.0023 -0.28 -
53 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.0012 -0.26 -
54 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.00058 -0.26 -
55 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.00029 -0.26 -
56 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 0.00015 -0.26 -
57 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 7.3e-05 -0.26 -
58 -0.14 -1.1 -0.44 -0.044 -4.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 14 3.6e-05 0.0089 -
59 -0.14 -1.1 -0.44 -0.044 -8e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 2.3 3.6e-05 0.59 +
60 -0.14 -1.1 -0.44 -0.044 -7.4e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 0.095 0.00036 0.99 ++
61 -0.14 -1.1 -0.44 -0.044 -7.3e-05 -1.2 -0.6 -0.2 -0.52 1.3 8.4e+03 0.016 0.0036 0.99 ++
62 -0.14 -1.1 -0.44 -0.048 -5.6e-05 -1.2 -0.6 -0.2 -0.51 1.3 8.4e+03 0.55 0.036 0.99 ++
63 -0.13 -1.1 -0.45 -0.066 1.7e-05 -1.2 -0.61 -0.21 -0.51 1.3 8.4e+03 0.076 0.36 0.96 ++
64 0.048 -1.5 -0.52 -0.12 0.00028 -1.5 -0.69 -0.41 -0.52 1.4 8.4e+03 1.5 0.36 0.39 +
65 0.048 -1.5 -0.52 -0.12 0.00028 -1.5 -0.69 -0.41 -0.52 1.4 8.4e+03 1.5 0.18 -0.5 -
66 0.048 -1.5 -0.52 -0.12 0.00028 -1.5 -0.69 -0.41 -0.52 1.4 8.4e+03 1.5 0.091 -0.5 -
67 0.048 -1.5 -0.52 -0.12 0.00028 -1.5 -0.69 -0.41 -0.52 1.4 8.4e+03 1.5 0.045 -2 -
68 0.048 -1.5 -0.52 -0.12 0.00028 -1.5 -0.69 -0.41 -0.52 1.4 8.4e+03 1.5 0.023 -0.42 -
69 0.05 -1.5 -0.52 -0.097 0.00019 -1.5 -0.7 -0.41 -0.51 1.4 8.4e+03 17 0.023 0.29 +
70 0.058 -1.5 -0.52 -0.11 0.00021 -1.5 -0.72 -0.4 -0.5 1.4 8.4e+03 1.5 0.23 0.95 ++
71 0.058 -1.5 -0.52 -0.11 0.00021 -1.5 -0.72 -0.4 -0.5 1.4 8.4e+03 1.5 0.11 -1.3 -
72 0.058 -1.5 -0.52 -0.11 0.00021 -1.5 -0.72 -0.4 -0.5 1.4 8.4e+03 1.5 0.057 -0.044 -
73 0.079 -1.5 -0.53 -0.085 8.5e-05 -1.5 -0.78 -0.37 -0.47 1.4 8.4e+03 12 0.057 0.56 +
74 0.13 -1.5 -0.55 -0.094 0.00016 -1.5 -0.79 -0.39 -0.47 1.4 8.3e+03 14 0.057 0.69 +
75 0.15 -1.6 -0.58 -0.091 0.00013 -1.6 -0.8 -0.38 -0.45 1.4 8.3e+03 2 0.057 0.82 +
76 0.2 -1.7 -0.61 -0.1 0.00015 -1.6 -0.8 -0.4 -0.46 1.4 8.3e+03 15 0.057 0.59 +
77 0.2 -1.7 -0.64 -0.11 0.0002 -1.7 -0.82 -0.38 -0.44 1.4 8.3e+03 7.7 0.057 0.71 +
78 0.2 -1.7 -0.64 -0.11 0.0002 -1.7 -0.82 -0.38 -0.44 1.4 8.3e+03 7.7 0.028 -1.3 -
79 0.2 -1.7 -0.64 -0.11 0.0002 -1.7 -0.82 -0.38 -0.44 1.4 8.3e+03 7.7 0.014 -0.25 -
80 0.21 -1.7 -0.65 -0.096 0.00015 -1.7 -0.83 -0.38 -0.44 1.3 8.3e+03 4.1 0.014 0.35 +
81 0.21 -1.7 -0.66 -0.1 0.00017 -1.7 -0.82 -0.39 -0.45 1.3 8.3e+03 3.6 0.014 0.89 +
82 0.22 -1.7 -0.67 -0.1 0.00018 -1.7 -0.83 -0.38 -0.44 1.3 8.3e+03 3.5 0.014 0.73 +
83 0.22 -1.8 -0.67 -0.1 0.00018 -1.7 -0.82 -0.39 -0.44 1.3 8.3e+03 1.1 0.14 0.94 ++
84 0.26 -1.9 -0.78 -0.11 0.0002 -1.8 -0.85 -0.36 -0.41 1.2 8.3e+03 0.52 0.14 0.79 +
85 0.26 -1.9 -0.78 -0.11 0.0002 -1.8 -0.85 -0.36 -0.41 1.2 8.3e+03 0.52 0.071 -0.52 -
86 0.25 -1.9 -0.83 -0.11 0.00022 -1.8 -0.81 -0.35 -0.42 1.2 8.3e+03 2 0.071 0.49 +
87 0.25 -1.9 -0.83 -0.11 0.00022 -1.8 -0.81 -0.35 -0.42 1.2 8.3e+03 2 0.036 -1 -
88 0.25 -1.9 -0.83 -0.11 0.00022 -1.8 -0.81 -0.35 -0.42 1.2 8.3e+03 2 0.018 -1.8 -
89 0.25 -1.9 -0.83 -0.11 0.00022 -1.8 -0.81 -0.35 -0.42 1.2 8.3e+03 2 0.0089 -0.39 -
90 0.25 -1.9 -0.83 -0.11 0.00022 -1.8 -0.81 -0.35 -0.42 1.2 8.3e+03 2 0.0044 -0.49 -
91 0.25 -1.9 -0.83 -0.11 0.00019 -1.8 -0.81 -0.35 -0.41 1.2 8.3e+03 3.7 0.0044 0.48 +
92 0.25 -1.9 -0.83 -0.11 0.0002 -1.8 -0.82 -0.34 -0.41 1.2 8.3e+03 0.65 0.044 0.98 ++
93 0.23 -2 -0.87 -0.11 0.00021 -1.9 -0.81 -0.31 -0.39 1.1 8.3e+03 5.6 0.044 0.75 +
94 0.24 -2 -0.88 -0.1 0.00018 -1.9 -0.84 -0.3 -0.38 1.1 8.3e+03 2.4 0.044 0.2 +
95 0.22 -2 -0.91 -0.11 0.0002 -1.9 -0.82 -0.3 -0.39 1.1 8.3e+03 0.035 0.44 1 ++
96 0.23 -2.1 -0.95 -0.11 0.0002 -1.9 -0.82 -0.28 -0.38 1 8.3e+03 2.9 0.44 0.71 +
97 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 4.4 0.96 ++
98 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 2.2 -1e+02 -
99 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 1.1 -46 -
100 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 0.56 -21 -
101 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 0.28 -8.6 -
102 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 0.14 -3.1 -
103 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 0.069 -0.95 -
104 0.22 -2.1 -0.96 -0.11 0.0002 -2 -0.81 -0.26 -0.37 1 8.3e+03 1.2 0.035 0.1 -
105 0.25 -2.1 -1 -0.11 0.0002 -2 -0.84 -0.27 -0.39 1 8.3e+03 3.2 0.035 0.43 +
106 0.24 -2.1 -1 -0.11 0.00021 -2 -0.83 -0.27 -0.39 1 8.3e+03 0.75 0.035 0.84 +
107 0.24 -2.1 -1 -0.11 0.00021 -2 -0.83 -0.27 -0.39 1 8.3e+03 0.75 0.017 -0.25 -
108 0.25 -2.1 -1 -0.11 0.00021 -2 -0.82 -0.27 -0.39 1 8.3e+03 0.68 0.017 0.37 +
109 0.25 -2.1 -1 -0.11 0.00021 -2 -0.82 -0.27 -0.39 1 8.3e+03 0.68 0.0087 -0.26 -
110 0.25 -2.1 -1 -0.11 0.00021 -2 -0.82 -0.27 -0.39 1 8.3e+03 0.68 0.0043 0.034 -
111 0.25 -2.1 -1 -0.11 0.00021 -2 -0.82 -0.26 -0.38 1 8.3e+03 0.28 0.0043 0.41 +
112 0.25 -2.1 -1 -0.11 0.00021 -2 -0.82 -0.26 -0.38 1 8.3e+03 0.14 0.043 0.98 ++
113 0.25 -2.1 -1.1 -0.11 0.00021 -2 -0.83 -0.27 -0.39 1 8.3e+03 0.14 0.043 0.41 +
114 0.25 -2.1 -1.1 -0.11 0.00021 -2 -0.83 -0.27 -0.39 1 8.3e+03 0.14 0.022 -0.81 -
115 0.25 -2.1 -1.1 -0.11 0.00021 -2 -0.83 -0.27 -0.39 1 8.3e+03 0.14 0.011 -0.25 -
116 0.25 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.53 0.011 0.64 +
117 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.05 0.011 0.66 +
118 0.25 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.034 0.011 0.34 +
119 0.25 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.034 0.0054 -0.67 -
120 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.23 0.0054 0.35 +
121 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.23 0.0027 -1.8 -
122 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.23 0.0014 -0.24 -
123 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.12 0.0014 0.61 +
124 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.059 0.0014 0.16 +
125 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.027 0.0014 0.52 +
126 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.067 0.0014 0.15 +
127 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.067 0.00053 -0.42 -
128 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.048 0.00053 0.61 +
129 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.048 0.00022 -0.11 -
130 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.00089 0.00022 0.63 +
131 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.01 0.00022 0.53 +
132 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.01 0.00011 -1.7 -
133 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.01 5.4e-05 0.062 -
134 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.0024 5.4e-05 0.63 +
135 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 0.00063 5.4e-05 0.17 +
136 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 1 8.3e+03 1.7e-06 5.4e-05 0.32 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000032
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.4 -
1 -0.5 -0.5 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 0.21 0.5 0.25 +
2 -0.33 -0.45 -0.44 0 0.55 -0.39 1.3 9.2e+03 0.09 0.5 0.69 +
3 -0.24 -0.95 -0.55 -0.15 0.054 -0.72 1.1 9e+03 0.095 0.5 0.2 +
4 -0.24 -0.95 -0.55 -0.15 0.054 -0.72 1.1 9e+03 0.095 0.25 -0.2 -
5 -0.33 -0.95 -0.67 -0.4 0.23 -0.51 1.2 8.7e+03 0.039 0.25 0.8 +
6 -0.33 -0.95 -0.67 -0.4 0.23 -0.51 1.2 8.7e+03 0.039 0.12 -0.44 -
7 -0.33 -0.95 -0.67 -0.4 0.23 -0.51 1.2 8.7e+03 0.039 0.062 -0.32 -
8 -0.33 -1 -0.73 -0.33 0.17 -0.57 1.2 8.7e+03 0.033 0.062 0.56 +
9 -0.26 -0.96 -0.79 -0.4 0.11 -0.51 1.2 8.6e+03 0.026 0.062 0.7 +
10 -0.29 -1 -0.86 -0.39 0.065 -0.51 1.2 8.6e+03 0.028 0.062 0.88 +
11 -0.23 -1 -0.92 -0.45 0.025 -0.45 1.2 8.6e+03 0.02 0.062 0.84 +
12 -0.24 -1.1 -0.98 -0.44 -0.036 -0.47 1.2 8.6e+03 0.027 0.062 0.83 +
13 -0.18 -1 -1 -0.51 -0.049 -0.41 1.2 8.5e+03 0.018 0.062 0.79 +
14 -0.19 -1.1 -1.1 -0.5 -0.11 -0.43 1.2 8.5e+03 0.02 0.062 0.89 +
15 -0.12 -1.1 -1.2 -0.56 -0.14 -0.38 1.2 8.5e+03 0.017 0.062 0.76 +
16 -0.13 -1.1 -1.2 -0.56 -0.19 -0.4 1.2 8.5e+03 0.017 0.062 0.85 +
17 -0.11 -1.1 -1.2 -0.62 -0.2 -0.39 1.2 8.5e+03 0.014 0.062 0.75 +
18 -0.11 -1.2 -1.3 -0.63 -0.26 -0.41 1.2 8.5e+03 0.013 0.062 0.83 +
19 -0.089 -1.2 -1.4 -0.7 -0.28 -0.39 1.2 8.5e+03 0.011 0.062 0.74 +
20 -0.075 -1.2 -1.4 -0.7 -0.33 -0.41 1.2 8.5e+03 0.0096 0.062 0.79 +
21 -0.045 -1.2 -1.5 -0.75 -0.36 -0.4 1.2 8.5e+03 0.0095 0.062 0.74 +
22 -0.04 -1.2 -1.5 -0.76 -0.4 -0.4 1.2 8.5e+03 0.007 0.062 0.67 +
23 0.0045 -1.2 -1.6 -0.79 -0.44 -0.41 1.2 8.5e+03 0.0085 0.062 0.54 +
24 0.0045 -1.2 -1.6 -0.79 -0.44 -0.41 1.2 8.5e+03 0.0085 0.031 -1.8 -
25 -0.012 -1.2 -1.6 -0.81 -0.43 -0.39 1.2 8.5e+03 0.0065 0.031 0.11 +
26 -0.012 -1.2 -1.6 -0.81 -0.43 -0.39 1.2 8.5e+03 0.0065 0.016 -0.93 -
27 0.0012 -1.2 -1.6 -0.79 -0.44 -0.4 1.2 8.5e+03 0.005 0.016 0.64 +
28 0.0045 -1.2 -1.6 -0.81 -0.44 -0.4 1.2 8.5e+03 0.0044 0.016 0.39 +
29 0.0008 -1.2 -1.7 -0.81 -0.45 -0.4 1.2 8.5e+03 0.0015 0.016 0.79 +
30 0.0008 -1.2 -1.7 -0.81 -0.45 -0.4 1.2 8.5e+03 0.0015 0.0078 0.058 -
31 0.0079 -1.2 -1.7 -0.81 -0.45 -0.4 1.2 8.5e+03 0.0038 0.0078 0.65 +
32 0.0047 -1.2 -1.7 -0.81 -0.45 -0.4 1.2 8.5e+03 0.0021 0.0078 0.75 +
33 0.0069 -1.2 -1.7 -0.82 -0.45 -0.4 1.2 8.4e+03 0.0022 0.0078 0.87 +
34 0.0087 -1.2 -1.7 -0.82 -0.46 -0.4 1.2 8.4e+03 0.0019 0.0078 0.77 +
35 0.0094 -1.2 -1.7 -0.82 -0.46 -0.4 1.2 8.4e+03 0.002 0.078 0.91 ++
36 0.016 -1.2 -1.8 -0.85 -0.48 -0.4 1.2 8.4e+03 0.00055 0.078 0.82 +
37 0.016 -1.2 -1.8 -0.85 -0.48 -0.4 1.2 8.4e+03 0.00055 0.039 -3.8 -
38 0.016 -1.2 -1.8 -0.85 -0.48 -0.4 1.2 8.4e+03 0.00055 0.02 -4.6 -
39 0.016 -1.2 -1.8 -0.85 -0.48 -0.4 1.2 8.4e+03 0.00055 0.0098 -2.5 -
40 0.016 -1.2 -1.8 -0.85 -0.48 -0.4 1.2 8.4e+03 0.00055 0.0049 -2 -
41 0.016 -1.2 -1.8 -0.85 -0.48 -0.4 1.2 8.4e+03 0.00055 0.0024 -0.34 -
42 0.018 -1.2 -1.8 -0.85 -0.48 -0.4 1.2 8.4e+03 0.00079 0.0024 0.22 +
43 0.016 -1.2 -1.8 -0.84 -0.48 -0.4 1.2 8.4e+03 0.00051 0.0024 0.89 +
44 0.016 -1.2 -1.8 -0.85 -0.47 -0.4 1.2 8.4e+03 0.00062 0.0024 0.9 +
45 0.015 -1.2 -1.8 -0.84 -0.47 -0.4 1.2 8.4e+03 0.00043 0.024 0.96 ++
46 0.0071 -1.2 -1.8 -0.84 -0.46 -0.4 1.1 8.4e+03 0.00067 0.024 0.81 +
47 -0.00085 -1.2 -1.8 -0.83 -0.46 -0.4 1.1 8.4e+03 0.0013 0.024 0.55 +
48 -0.0075 -1.2 -1.8 -0.84 -0.45 -0.4 1.1 8.4e+03 0.0012 0.024 0.56 +
49 -0.0075 -1.2 -1.8 -0.84 -0.45 -0.4 1.1 8.4e+03 0.0012 0.012 -0.53 -
50 -0.0097 -1.2 -1.8 -0.83 -0.44 -0.39 1.1 8.4e+03 0.00075 0.012 0.34 +
51 -0.018 -1.2 -1.8 -0.84 -0.45 -0.4 1.1 8.4e+03 0.0008 0.012 0.13 +
52 -0.018 -1.2 -1.8 -0.84 -0.45 -0.4 1.1 8.4e+03 0.0008 0.0061 -0.32 -
53 -0.012 -1.2 -1.8 -0.83 -0.45 -0.4 1.1 8.4e+03 0.00087 0.0061 0.29 +
54 -0.015 -1.2 -1.8 -0.83 -0.44 -0.39 1.1 8.4e+03 0.00013 0.0061 0.87 +
55 -0.017 -1.2 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 0.00034 0.0061 0.16 +
56 -0.015 -1.2 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 0.00013 0.0061 0.64 +
57 -0.015 -1.2 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 0.00013 0.0031 -0.08 -
58 -0.018 -1.2 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 0.0002 0.0031 0.52 +
59 -0.02 -1.2 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 5.7e-05 0.0031 0.68 +
60 -0.018 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 6.6e-05 0.0031 0.35 +
61 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.031 0.94 ++
62 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.015 -47 -
63 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.0076 -32 -
64 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.0038 -21 -
65 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.0019 -6.9 -
66 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.00095 -2.9 -
67 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.00048 -1.3 -
68 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 4.2e-05 0.00024 -0.6 -
69 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 3e-05 0.00024 0.21 +
70 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 3.3e-05 0.00024 0.42 +
71 -0.021 -1.3 -1.9 -0.83 -0.44 -0.39 1.1 8.4e+03 5.6e-06 0.00024 0.9 +
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 20/100
Biogeme parameters read from biogeme.toml.
Model with 15 unknown parameters [max: 50]
*** Estimate b07everything_000033
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di lambda_travel_t b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1.1e+04 0.22 0.5 -0.19 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 1 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 -0.5 1.5 9.2e+03 0.085 0.5 0.43 +
2 -0.5 -0.5 -0.5 -0.5 -0.5 1 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 -0.5 1.5 9.2e+03 0.085 0.25 -0.1 -
3 -0.25 -0.25 -0.25 -0.27 -0.75 1.2 -0.75 -0.75 -0.75 0.25 -0.75 -0.75 -0.75 -0.75 1.2 9.1e+03 0.1 0.25 0.16 +
4 -0.5 -0.27 -0.25 -0.52 -0.89 1.2 -0.76 -0.74 -0.76 0.34 -0.63 -0.75 -0.56 -0.66 1.4 8.8e+03 0.049 0.25 0.76 +
5 -0.33 -0.019 -0.24 -0.59 -0.88 1.1 -0.77 -0.71 -0.76 0.2 -0.63 -0.76 -0.54 -0.66 1.2 8.7e+03 0.05 0.25 0.36 +
6 -0.51 0.0021 -0.23 -0.84 -0.93 1.1 -0.76 -0.75 -0.78 0.2 -0.52 -0.76 -0.47 -0.64 1.2 8.6e+03 0.021 0.25 0.71 +
7 -0.54 0.25 -0.2 -1 -0.92 0.94 -0.77 -0.86 -0.81 -0.018 -0.41 -0.77 -0.5 -0.71 1.1 8.5e+03 0.022 0.25 0.54 +
8 -0.7 0.38 -0.16 -1.2 -0.92 0.79 -0.84 -0.98 -0.81 0.038 -0.16 -0.77 -0.49 -0.74 1.2 8.4e+03 0.018 0.25 0.51 +
9 -0.87 0.57 -0.07 -1.4 -0.96 0.62 -0.85 -1.1 -0.72 -0.1 -0.1 -0.78 -0.72 -0.94 1.1 8.4e+03 0.02 0.25 0.4 +
10 -0.87 0.57 -0.07 -1.4 -0.96 0.62 -0.85 -1.1 -0.72 -0.1 -0.1 -0.78 -0.72 -0.94 1.1 8.4e+03 0.02 0.12 -0.63 -
11 -0.82 0.64 -0.046 -1.4 -0.96 0.55 -0.92 -1.1 -0.71 0.021 -0.012 -0.77 -0.6 -0.86 1 8.4e+03 0.011 0.12 0.38 +
12 -0.9 0.62 -0.015 -1.5 -1 0.55 -0.86 -1.2 -0.69 -0.0096 -0.091 -0.77 -0.63 -0.88 1 8.4e+03 0.0054 0.12 0.82 +
13 -0.9 0.62 -0.015 -1.5 -1 0.55 -0.86 -1.2 -0.69 -0.0096 -0.091 -0.77 -0.63 -0.88 1 8.4e+03 0.0054 0.062 -0.58 -
14 -0.84 0.69 0.047 -1.6 -1 0.49 -0.91 -1.2 -0.62 0.053 -0.13 -0.77 -0.69 -0.93 1 8.4e+03 0.0079 0.062 0.43 +
15 -0.9 0.65 0.061 -1.6 -1 0.48 -0.88 -1.2 -0.63 0.054 -0.13 -0.77 -0.69 -0.93 1 8.4e+03 0.0054 0.062 0.75 +
16 -0.85 0.72 0.086 -1.7 -1 0.45 -0.87 -1.2 -0.61 0.042 -0.14 -0.77 -0.71 -0.94 1 8.4e+03 0.0067 0.062 0.51 +
17 -0.87 0.73 0.12 -1.7 -1.1 0.42 -0.88 -1.3 -0.59 0.1 -0.11 -0.76 -0.72 -0.93 1 8.4e+03 0.0071 0.062 0.54 +
18 -0.9 0.72 0.16 -1.8 -1.1 0.41 -0.86 -1.3 -0.56 0.056 -0.14 -0.76 -0.78 -0.96 1 8.4e+03 0.0063 0.062 0.16 +
19 -0.84 0.78 0.19 -1.8 -1.1 0.38 -0.89 -1.3 -0.54 0.086 -0.13 -0.76 -0.79 -0.95 1 8.3e+03 0.0052 0.062 0.62 +
20 -0.84 0.78 0.19 -1.8 -1.1 0.38 -0.89 -1.3 -0.54 0.086 -0.13 -0.76 -0.79 -0.95 1 8.3e+03 0.0052 0.031 -0.78 -
21 -0.87 0.75 0.22 -1.8 -1.1 0.35 -0.85 -1.4 -0.51 0.12 -0.097 -0.73 -0.8 -0.92 1 8.3e+03 0.0063 0.031 0.15 +
22 -0.85 0.77 0.25 -1.9 -1.1 0.34 -0.86 -1.4 -0.49 0.088 -0.13 -0.73 -0.83 -0.93 1 8.3e+03 0.0031 0.031 0.83 +
23 -0.83 0.79 0.28 -1.9 -1.1 0.33 -0.89 -1.4 -0.47 0.12 -0.12 -0.73 -0.84 -0.93 1 8.3e+03 0.0032 0.031 0.58 +
24 -0.85 0.78 0.31 -1.9 -1.1 0.32 -0.88 -1.4 -0.47 0.11 -0.12 -0.73 -0.85 -0.93 1 8.3e+03 0.0021 0.031 0.82 +
25 -0.82 0.8 0.34 -1.9 -1.1 0.31 -0.88 -1.4 -0.45 0.12 -0.12 -0.73 -0.86 -0.93 1 8.3e+03 0.0026 0.031 0.83 +
26 -0.84 0.79 0.37 -2 -1.1 0.3 -0.87 -1.5 -0.44 0.12 -0.12 -0.73 -0.88 -0.94 1 8.3e+03 0.0015 0.031 0.83 +
27 -0.82 0.81 0.4 -2 -1.1 0.29 -0.88 -1.5 -0.43 0.13 -0.12 -0.72 -0.89 -0.93 1 8.3e+03 0.0017 0.031 0.8 +
28 -0.82 0.8 0.43 -2 -1.1 0.28 -0.88 -1.5 -0.42 0.13 -0.12 -0.72 -0.9 -0.93 1 8.3e+03 0.0013 0.031 0.83 +
29 -0.81 0.82 0.47 -2 -1.1 0.27 -0.88 -1.5 -0.41 0.14 -0.12 -0.72 -0.91 -0.93 1 8.3e+03 0.0014 0.031 0.81 +
30 -0.82 0.81 0.5 -2 -1.1 0.26 -0.88 -1.5 -0.4 0.14 -0.12 -0.72 -0.92 -0.93 1 8.3e+03 0.0012 0.031 0.81 +
31 -0.8 0.82 0.53 -2.1 -1.1 0.26 -0.88 -1.5 -0.39 0.15 -0.12 -0.71 -0.93 -0.92 1 8.3e+03 0.0014 0.031 0.77 +
32 -0.81 0.82 0.56 -2.1 -1.1 0.26 -0.87 -1.5 -0.38 0.15 -0.12 -0.71 -0.94 -0.92 1 8.3e+03 0.0012 0.031 0.76 +
33 -0.81 0.83 0.59 -2.1 -1.1 0.24 -0.89 -1.5 -0.38 0.15 -0.12 -0.7 -0.94 -0.91 1 8.3e+03 0.0012 0.031 0.3 +
34 -0.81 0.83 0.59 -2.1 -1.1 0.24 -0.89 -1.5 -0.38 0.15 -0.12 -0.7 -0.94 -0.91 1 8.3e+03 0.0012 0.016 -0.71 -
35 -0.81 0.83 0.61 -2.1 -1.1 0.26 -0.88 -1.5 -0.37 0.15 -0.12 -0.7 -0.95 -0.92 1 8.3e+03 0.0016 0.016 0.45 +
36 -0.81 0.83 0.61 -2.1 -1.1 0.26 -0.88 -1.5 -0.37 0.15 -0.12 -0.7 -0.95 -0.92 1 8.3e+03 0.0016 0.0078 -0.13 -
37 -0.82 0.83 0.61 -2.1 -1.1 0.25 -0.88 -1.5 -0.38 0.15 -0.13 -0.7 -0.95 -0.91 1 8.3e+03 0.00078 0.0078 0.28 +
38 -0.81 0.83 0.62 -2.1 -1 0.25 -0.88 -1.5 -0.38 0.15 -0.12 -0.7 -0.95 -0.91 1 8.3e+03 0.00065 0.0078 0.35 +
39 -0.82 0.83 0.63 -2.1 -1 0.26 -0.88 -1.5 -0.37 0.15 -0.12 -0.69 -0.95 -0.91 1 8.3e+03 0.00048 0.0078 0.46 +
40 -0.81 0.84 0.63 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.12 -0.69 -0.95 -0.91 1 8.3e+03 0.0005 0.0078 0.53 +
41 -0.81 0.84 0.64 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.12 -0.69 -0.95 -0.91 1 8.3e+03 0.00075 0.0078 0.51 +
42 -0.81 0.84 0.64 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.12 -0.69 -0.95 -0.91 1 8.3e+03 0.00075 0.0039 -0.098 -
43 -0.82 0.84 0.64 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.13 -0.69 -0.95 -0.91 1 8.3e+03 0.00047 0.0039 0.64 +
44 -0.81 0.84 0.65 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.12 -0.69 -0.95 -0.91 1 8.3e+03 0.0002 0.039 0.91 ++
45 -0.81 0.84 0.65 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.12 -0.69 -0.95 -0.91 1 8.3e+03 0.0002 0.02 -2 -
46 -0.81 0.84 0.65 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.12 -0.69 -0.95 -0.91 1 8.3e+03 0.0002 0.0098 -0.2 -
47 -0.82 0.84 0.66 -2.1 -1 0.25 -0.88 -1.5 -0.37 0.15 -0.12 -0.68 -0.96 -0.91 1 8.3e+03 0.00053 0.0098 0.43 +
48 -0.82 0.84 0.67 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.68 -0.96 -0.91 1 8.3e+03 0.00023 0.098 0.93 ++
49 -0.82 0.84 0.67 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.68 -0.96 -0.91 1 8.3e+03 0.00023 0.049 -0.88 -
50 -0.82 0.84 0.67 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.68 -0.96 -0.91 1 8.3e+03 0.00023 0.024 0.054 -
51 -0.82 0.85 0.69 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00048 0.024 0.56 +
52 -0.82 0.85 0.69 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00048 0.012 -0.012 -
53 -0.82 0.85 0.69 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00048 0.0061 -0.034 -
54 -0.82 0.85 0.69 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00048 0.0031 -0.1 -
55 -0.82 0.85 0.69 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00025 0.0031 0.74 +
56 -0.82 0.85 0.69 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00025 0.0015 -0.075 -
57 -0.82 0.85 0.7 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00014 0.0015 0.57 +
58 -0.82 0.85 0.7 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 0.00012 0.0015 0.75 +
59 -0.82 0.85 0.7 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.66 -0.96 -0.9 1 8.3e+03 6.9e-05 0.015 0.96 ++
60 -0.82 0.85 0.71 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.65 -0.96 -0.9 1 8.3e+03 0.00029 0.015 0.82 +
61 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 0.00031 0.015 0.18 +
62 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 0.00031 0.0076 -5.7 -
63 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 0.00031 0.0038 -0.3 -
64 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 5.9e-05 0.0038 0.86 +
65 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 5.9e-05 0.0019 -3.4 -
66 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 5.9e-05 0.00095 -1.4 -
67 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 5.9e-05 0.00048 -0.65 -
68 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 7.3e-05 0.00048 0.22 +
69 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 4.8e-05 0.00048 0.69 +
70 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 2.5e-05 0.00048 0.84 +
71 -0.83 0.85 0.72 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 1.9e-05 0.00048 0.89 +
72 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 2e-05 0.00048 0.8 +
73 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 1.9e-05 0.00048 0.9 +
74 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.63 -0.96 -0.9 1 8.3e+03 1.7e-05 0.0048 0.9 ++
75 -0.83 0.86 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 5.2e-05 0.0048 0.17 +
76 -0.83 0.86 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 5.2e-05 0.0024 -2.8 -
77 -0.83 0.86 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 5.2e-05 0.0012 -1.7 -
78 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 3e-05 0.0012 0.64 +
79 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 3e-05 0.0006 -3 -
80 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 2.5e-05 0.0006 0.3 +
81 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 2.5e-05 0.0003 -0.11 -
82 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 1.5e-05 0.0003 0.54 +
83 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 1.7e-05 0.0003 0.24 +
84 -0.83 0.85 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 1 8.3e+03 4e-06 0.0003 0.86 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 17 unknown parameters [max: 50]
*** Estimate b07everything_000034
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.31 0.5 -0.92 -
1 1.1e+04 0.31 0.25 -0.48 -
2 1.1e+04 0.31 0.12 -0.009 -
3 9.7e+03 0.13 0.12 0.41 +
4 9.1e+03 0.051 0.12 0.6 +
5 8.8e+03 0.077 0.12 0.9 +
6 8.8e+03 0.077 0.062 -0.5 -
7 8.8e+03 0.067 0.062 0.26 +
8 8.7e+03 0.046 0.062 0.7 +
9 8.6e+03 0.047 0.062 0.77 +
10 8.6e+03 0.032 0.62 0.96 ++
11 8.3e+03 0.041 0.62 0.5 +
12 8.3e+03 0.041 0.31 -3.3 -
13 8.3e+03 0.041 0.16 -0.75 -
14 8.3e+03 0.029 0.16 0.31 +
15 8.3e+03 0.029 0.078 -0.84 -
16 8.3e+03 0.019 0.078 0.54 +
17 8.3e+03 0.019 0.039 0.075 -
18 8.3e+03 0.024 0.039 0.31 +
19 8.3e+03 0.014 0.039 0.68 +
20 8.3e+03 0.011 0.039 0.88 +
21 8.3e+03 0.012 0.039 0.76 +
22 8.2e+03 0.0082 0.039 0.88 +
23 8.2e+03 0.0094 0.039 0.8 +
24 8.2e+03 0.012 0.039 0.72 +
25 8.2e+03 0.01 0.039 0.86 +
26 8.2e+03 0.011 0.039 0.86 +
27 8.2e+03 0.0093 0.039 0.87 +
28 8.2e+03 0.01 0.039 0.88 +
29 8.2e+03 0.0095 0.039 0.87 +
30 8.2e+03 0.0081 0.39 0.93 ++
31 8.2e+03 0.019 0.39 0.42 +
32 8.2e+03 0.019 0.2 -4.1 -
33 8.2e+03 0.019 0.098 -0.86 -
34 8.2e+03 0.0076 0.098 0.33 +
35 8.2e+03 0.008 0.098 0.17 +
36 8.2e+03 0.008 0.049 -1.3 -
37 8.2e+03 0.011 0.049 0.36 +
38 8.2e+03 0.011 0.024 -1.4 -
39 8.2e+03 0.0048 0.024 0.55 +
40 8.2e+03 0.0031 0.024 0.55 +
41 8.2e+03 0.0018 0.024 0.7 +
42 8.2e+03 0.002 0.024 0.57 +
43 8.2e+03 0.0016 0.024 0.82 +
44 8.2e+03 0.0018 0.024 0.77 +
45 8.2e+03 0.0011 0.024 0.77 +
46 8.2e+03 0.0011 0.012 0.084 -
47 8.2e+03 0.0018 0.012 0.57 +
48 8.2e+03 0.00053 0.012 0.73 +
49 8.2e+03 0.00053 0.0061 0.086 -
50 8.2e+03 0.00086 0.0061 0.38 +
51 8.2e+03 0.001 0.0061 0.27 +
52 8.2e+03 0.00092 0.0061 0.64 +
53 8.2e+03 0.00092 0.0031 0.034 -
54 8.2e+03 0.00081 0.0031 0.3 +
55 8.2e+03 0.00098 0.0031 0.22 +
56 8.2e+03 0.00023 0.031 0.91 ++
57 8.2e+03 0.00023 0.015 -0.55 -
58 8.2e+03 0.00084 0.015 0.41 +
59 8.2e+03 0.00084 0.0076 -1.5 -
60 8.2e+03 0.0007 0.0076 0.11 +
61 8.2e+03 0.0007 0.0038 -0.27 -
62 8.2e+03 0.0007 0.0019 -0.24 -
63 8.2e+03 0.00057 0.0019 0.46 +
64 8.2e+03 0.00028 0.0019 0.76 +
65 8.2e+03 8.7e-05 0.019 0.95 ++
66 8.2e+03 0.00055 0.019 0.12 +
67 8.2e+03 0.00055 0.0095 -0.36 -
68 8.2e+03 0.00036 0.0095 0.18 +
69 8.2e+03 0.00036 0.0048 -1.5 -
70 8.2e+03 0.00043 0.0048 0.13 +
71 8.2e+03 0.00043 0.0024 -0.34 -
72 8.2e+03 0.00015 0.0024 0.87 +
73 8.2e+03 0.00015 0.0012 -0.33 -
74 8.2e+03 4e-05 0.0012 0.61 +
75 8.2e+03 4e-05 0.0006 -0.92 -
76 8.2e+03 4e-05 0.0003 0.0038 -
77 8.2e+03 4e-05 0.00015 -0.0037 -
78 8.2e+03 4.5e-05 0.00015 0.51 +
79 8.2e+03 2.3e-05 0.00015 0.88 +
80 8.2e+03 1.3e-05 0.0015 0.94 ++
81 8.2e+03 1.3e-05 0.00075 -1.9 -
82 8.2e+03 1.3e-05 0.00037 -0.4 -
83 8.2e+03 1.3e-05 0.00037 0.34 +
84 8.2e+03 1.3e-05 0.00019 -1.1 -
85 8.2e+03 1.2e-05 0.00019 0.21 +
86 8.2e+03 9.3e-06 0.00019 0.33 +
87 8.2e+03 6.4e-06 0.00019 0.35 +
88 8.2e+03 6.4e-06 9.3e-05 -0.8 -
89 8.2e+03 3.9e-06 9.3e-05 0.66 -
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000035
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.82 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.11 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 1.2 9.5e+03 0.092 0.25 0.46 +
3 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 1.2 9.5e+03 0.092 0.12 -0.93 -
4 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 1.2 9.5e+03 0.092 0.062 0.078 -
5 -0.31 -0.19 -0.19 -0.31 -0.31 -0.31 0.19 0.19 0.31 -0.19 -0.31 -0.19 -0.19 1.3 9.3e+03 0.057 0.062 0.56 +
6 -0.26 -0.12 -0.18 -0.27 -0.29 -0.38 0.12 0.12 0.27 -0.21 -0.32 -0.23 -0.17 1.2 9.2e+03 0.052 0.062 0.77 +
7 -0.32 -0.062 -0.12 -0.33 -0.35 -0.44 0.062 0.062 0.21 -0.28 -0.38 -0.29 -0.11 1.3 9e+03 0.037 0.062 0.85 +
8 -0.36 0 -0.095 -0.39 -0.34 -0.5 0 0 0.15 -0.25 -0.39 -0.3 -0.11 1.3 8.9e+03 0.03 0.62 0.96 ++
9 -0.36 0 -0.095 -0.39 -0.34 -0.5 0 0 0.15 -0.25 -0.39 -0.3 -0.11 1.3 8.9e+03 0.03 0.31 -4.2 -
10 -0.36 0 -0.095 -0.39 -0.34 -0.5 0 0 0.15 -0.25 -0.39 -0.3 -0.11 1.3 8.9e+03 0.03 0.16 -1.4 -
11 -0.36 0 -0.095 -0.39 -0.34 -0.5 0 0 0.15 -0.25 -0.39 -0.3 -0.11 1.3 8.9e+03 0.03 0.078 0.088 -
12 -0.28 0.078 -0.017 -0.47 -0.34 -0.58 -0.078 -0.078 0.069 -0.33 -0.47 -0.38 -0.19 1.3 8.9e+03 0.063 0.078 0.44 +
13 -0.36 0.068 -0.015 -0.55 -0.4 -0.61 -0.16 -0.13 0.11 -0.29 -0.47 -0.31 -0.16 1.3 8.8e+03 0.06 0.078 0.68 +
14 -0.34 0.11 -0.013 -0.54 -0.39 -0.61 -0.16 -0.13 0.042 -0.32 -0.48 -0.39 -0.24 1.3 8.8e+03 0.034 0.78 0.91 ++
15 -0.47 0.49 0.03 -1 -0.48 -0.83 -0.94 -0.6 -0.17 -0.24 -0.5 -0.62 -0.57 1.4 8.5e+03 0.05 0.78 0.46 +
16 -0.47 0.49 0.03 -1 -0.48 -0.83 -0.94 -0.6 -0.17 -0.24 -0.5 -0.62 -0.57 1.4 8.5e+03 0.05 0.39 -2.7 -
17 -0.47 0.49 0.03 -1 -0.48 -0.83 -0.94 -0.6 -0.17 -0.24 -0.5 -0.62 -0.57 1.4 8.5e+03 0.05 0.2 -1.5 -
18 -0.47 0.49 0.03 -1 -0.48 -0.83 -0.94 -0.6 -0.17 -0.24 -0.5 -0.62 -0.57 1.4 8.5e+03 0.05 0.098 -1 -
19 -0.53 0.44 0.034 -1.1 -0.54 -0.81 -0.86 -0.55 -0.22 -0.26 -0.5 -0.68 -0.6 1.4 8.5e+03 0.048 0.098 0.21 +
20 -0.51 0.47 0.051 -1.1 -0.56 -0.8 -0.91 -0.58 -0.25 -0.25 -0.5 -0.67 -0.57 1.3 8.5e+03 0.011 0.098 0.88 +
21 -0.54 0.48 0.084 -1.1 -0.61 -0.8 -0.97 -0.63 -0.3 -0.21 -0.51 -0.62 -0.54 1.2 8.5e+03 0.029 0.098 0.19 +
22 -0.6 0.47 0.12 -1.2 -0.67 -0.77 -0.96 -0.62 -0.38 -0.2 -0.52 -0.64 -0.56 1.1 8.4e+03 0.0098 0.098 0.81 +
23 -0.61 0.52 0.14 -1.2 -0.67 -0.79 -1 -0.64 -0.41 -0.17 -0.53 -0.62 -0.6 1 8.4e+03 0.016 0.098 0.74 +
24 -0.65 0.57 0.17 -1.3 -0.71 -0.82 -1 -0.65 -0.43 -0.15 -0.53 -0.62 -0.64 1 8.4e+03 0.0071 0.98 1 ++
25 -0.65 0.57 0.17 -1.3 -0.71 -0.82 -1 -0.65 -0.43 -0.15 -0.53 -0.62 -0.64 1 8.4e+03 0.0071 0.49 -8.1 -
26 -0.65 0.57 0.17 -1.3 -0.71 -0.82 -1 -0.65 -0.43 -0.15 -0.53 -0.62 -0.64 1 8.4e+03 0.0071 0.24 -2.1 -
27 -0.65 0.57 0.17 -1.3 -0.71 -0.82 -1 -0.65 -0.43 -0.15 -0.53 -0.62 -0.64 1 8.4e+03 0.0071 0.12 -0.019 -
28 -0.68 0.69 0.22 -1.4 -0.74 -0.86 -1.1 -0.74 -0.5 -0.15 -0.55 -0.64 -0.64 1 8.4e+03 0.008 0.12 0.65 +
29 -0.68 0.69 0.22 -1.4 -0.74 -0.86 -1.1 -0.74 -0.5 -0.15 -0.55 -0.64 -0.64 1 8.4e+03 0.008 0.061 -0.39 -
30 -0.71 0.7 0.25 -1.4 -0.74 -0.83 -1.1 -0.74 -0.49 -0.12 -0.55 -0.63 -0.7 1 8.4e+03 0.0027 0.061 0.63 +
31 -0.76 0.73 0.31 -1.4 -0.75 -0.88 -1.1 -0.78 -0.53 -0.12 -0.56 -0.64 -0.69 1 8.4e+03 0.0076 0.061 0.33 +
32 -0.77 0.79 0.36 -1.4 -0.76 -0.87 -1.2 -0.79 -0.54 -0.099 -0.57 -0.62 -0.75 1 8.4e+03 0.009 0.061 0.1 +
33 -0.8 0.79 0.42 -1.4 -0.78 -0.83 -1.1 -0.82 -0.57 -0.12 -0.58 -0.61 -0.69 1 8.4e+03 0.0037 0.061 0.59 +
34 -0.83 0.77 0.48 -1.3 -0.75 -0.89 -1.1 -0.79 -0.53 -0.091 -0.59 -0.61 -0.75 1 8.4e+03 0.0032 0.061 0.13 +
35 -0.85 0.8 0.54 -1.3 -0.79 -0.84 -1.1 -0.82 -0.55 -0.11 -0.59 -0.59 -0.74 1 8.4e+03 0.0021 0.061 0.75 +
36 -0.85 0.8 0.54 -1.3 -0.79 -0.84 -1.1 -0.82 -0.55 -0.11 -0.59 -0.59 -0.74 1 8.4e+03 0.0021 0.031 -2.1 -
37 -0.85 0.8 0.54 -1.3 -0.79 -0.84 -1.1 -0.82 -0.55 -0.11 -0.59 -0.59 -0.74 1 8.4e+03 0.0021 0.015 -0.97 -
38 -0.85 0.8 0.54 -1.3 -0.79 -0.84 -1.1 -0.82 -0.55 -0.11 -0.59 -0.59 -0.74 1 8.4e+03 0.0021 0.0076 -0.32 -
39 -0.85 0.8 0.54 -1.3 -0.79 -0.84 -1.1 -0.82 -0.55 -0.11 -0.59 -0.59 -0.74 1 8.4e+03 0.0021 0.0038 0.084 -
40 -0.85 0.8 0.55 -1.3 -0.79 -0.84 -1.1 -0.82 -0.55 -0.11 -0.59 -0.6 -0.74 1 8.4e+03 0.0013 0.0038 0.69 +
41 -0.85 0.8 0.55 -1.3 -0.79 -0.84 -1.1 -0.82 -0.55 -0.11 -0.59 -0.59 -0.74 1 8.4e+03 0.0016 0.0038 0.64 +
42 -0.85 0.8 0.55 -1.3 -0.79 -0.85 -1.1 -0.82 -0.55 -0.11 -0.59 -0.6 -0.74 1 8.4e+03 0.00064 0.0038 0.86 +
43 -0.85 0.81 0.56 -1.3 -0.79 -0.85 -1.1 -0.83 -0.55 -0.11 -0.59 -0.6 -0.74 1 8.4e+03 0.00076 0.0038 0.88 +
44 -0.86 0.81 0.56 -1.3 -0.78 -0.85 -1.1 -0.83 -0.55 -0.11 -0.59 -0.6 -0.74 1 8.4e+03 0.00058 0.038 0.94 ++
45 -0.87 0.82 0.6 -1.3 -0.78 -0.86 -1.1 -0.84 -0.55 -0.1 -0.59 -0.6 -0.75 1 8.4e+03 0.00081 0.038 0.75 +
46 -0.87 0.82 0.6 -1.3 -0.78 -0.86 -1.1 -0.84 -0.55 -0.1 -0.59 -0.6 -0.75 1 8.4e+03 0.00081 0.019 0.047 -
47 -0.87 0.83 0.62 -1.3 -0.8 -0.85 -1.1 -0.85 -0.56 -0.11 -0.59 -0.59 -0.75 1 8.4e+03 0.00075 0.019 0.58 +
48 -0.88 0.83 0.64 -1.3 -0.79 -0.86 -1.1 -0.85 -0.55 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.00062 0.019 0.73 +
49 -0.88 0.83 0.64 -1.3 -0.79 -0.86 -1.1 -0.85 -0.55 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.00062 0.0095 -0.048 -
50 -0.88 0.83 0.64 -1.3 -0.79 -0.86 -1.1 -0.85 -0.56 -0.1 -0.59 -0.59 -0.75 1 8.4e+03 0.00095 0.0095 0.59 +
51 -0.88 0.84 0.65 -1.3 -0.79 -0.86 -1.1 -0.85 -0.56 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.00034 0.0095 0.84 +
52 -0.89 0.84 0.66 -1.3 -0.79 -0.86 -1.1 -0.86 -0.56 -0.1 -0.59 -0.59 -0.75 1 8.4e+03 0.00048 0.0095 0.72 +
53 -0.89 0.84 0.67 -1.3 -0.8 -0.85 -1.1 -0.85 -0.56 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.00028 0.0095 0.87 +
54 -0.89 0.84 0.68 -1.3 -0.8 -0.86 -1.1 -0.86 -0.56 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.00055 0.0095 0.86 +
55 -0.9 0.84 0.69 -1.3 -0.8 -0.85 -1.1 -0.86 -0.56 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.0003 0.0095 0.88 +
56 -0.9 0.85 0.7 -1.3 -0.8 -0.86 -1.1 -0.86 -0.56 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.00027 0.0095 0.89 +
57 -0.9 0.85 0.71 -1.3 -0.8 -0.86 -1.1 -0.86 -0.56 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.0003 0.0095 0.84 +
58 -0.91 0.85 0.72 -1.3 -0.8 -0.86 -1.1 -0.86 -0.56 -0.1 -0.59 -0.59 -0.76 1 8.4e+03 0.00019 0.0095 0.88 +
59 -0.91 0.85 0.73 -1.3 -0.8 -0.86 -1.1 -0.86 -0.56 -0.1 -0.59 -0.58 -0.77 1 8.4e+03 0.00028 0.0095 0.84 +
60 -0.91 0.85 0.74 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.59 -0.58 -0.76 1 8.4e+03 0.00016 0.0095 0.86 +
61 -0.92 0.86 0.75 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.00019 0.095 0.91 ++
62 -0.92 0.86 0.75 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.00019 0.048 -2.5 -
63 -0.92 0.86 0.75 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.00019 0.024 -0.84 -
64 -0.92 0.86 0.75 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.00019 0.012 -1.6 -
65 -0.92 0.86 0.75 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.00019 0.006 0.055 -
66 -0.92 0.86 0.75 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.00013 0.006 0.62 +
67 -0.92 0.86 0.76 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.0002 0.006 0.27 +
68 -0.92 0.86 0.76 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.0002 0.003 -0.96 -
69 -0.92 0.86 0.76 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.0002 0.0015 -1.5 -
70 -0.92 0.86 0.76 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 0.0002 0.0015 0.71 +
71 -0.92 0.86 0.76 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 8.4e-05 0.0015 0.76 +
72 -0.92 0.86 0.76 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.58 -0.58 -0.77 1 8.4e+03 6e-05 0.015 0.91 ++
73 -0.93 0.86 0.78 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.57 -0.58 -0.77 1 8.4e+03 0.00013 0.015 0.1 +
74 -0.93 0.86 0.78 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.57 -0.58 -0.77 1 8.4e+03 0.00013 0.0075 -2.9 -
75 -0.93 0.86 0.78 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.57 -0.58 -0.77 1 8.4e+03 0.00013 0.0037 -1.5 -
76 -0.93 0.86 0.78 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.57 -0.58 -0.77 1 8.4e+03 0.00013 0.0019 -0.19 -
77 -0.93 0.86 0.78 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.57 -0.58 -0.77 1 8.4e+03 0.00026 0.0019 0.34 +
78 -0.92 0.86 0.78 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 8.3e-05 0.0019 0.22 +
79 -0.93 0.86 0.78 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.099 -0.56 -0.58 -0.77 1 8.4e+03 0.00017 0.0019 0.15 +
80 -0.93 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 2.9e-05 0.0019 0.48 +
81 -0.93 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 2.9e-05 0.00093 -0.19 -
82 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 5.6e-05 0.00093 0.78 +
83 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 5.6e-05 0.00047 -1.9 -
84 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 5.6e-05 0.00023 -0.75 -
85 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 5.6e-05 0.00012 -0.04 -
86 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 4.3e-05 0.00012 0.45 +
87 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 1.5e-05 0.00012 0.85 +
88 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 1 8.4e+03 4.7e-06 0.00012 0.79 +
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000036
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.55 0.5 -0.98 -
1 1.1e+04 0.55 0.25 -0.51 -
2 1.1e+04 0.55 0.12 -0.019 -
3 9.6e+03 0.29 0.12 0.42 +
4 9.6e+03 0.29 0.062 0.42 -
5 9.6e+03 0.29 0.031 0.42 -
6 9.6e+03 0.29 0.016 -5.3 -
7 9.6e+03 0.29 0.0078 -3.3 -
8 9.6e+03 0.29 0.0039 -2 -
9 9.6e+03 0.29 0.002 -0.77 -
10 9.6e+03 1.7 0.002 0.34 +
11 9.6e+03 0.21 0.002 0.73 +
12 9.6e+03 0.2 0.02 1.2 ++
13 9.6e+03 0.99 0.02 0.79 +
14 9.6e+03 0.99 0.0098 -0.55 -
15 9.6e+03 0.99 0.0049 -0.34 -
16 9.5e+03 0.33 0.049 1.1 ++
17 9.5e+03 0.33 0.024 -2.6 -
18 9.5e+03 0.33 0.012 -2.5 -
19 9.5e+03 0.33 0.0061 -3.1 -
20 9.5e+03 0.33 0.0031 -4.6 -
21 9.5e+03 0.33 0.0015 -1.2 -
22 9.5e+03 1.4 0.0015 0.29 +
23 9.5e+03 0.22 0.0015 0.85 +
24 9.5e+03 0.22 0.015 1 ++
25 9.4e+03 0.71 0.15 0.93 ++
26 9.4e+03 0.71 0.076 -0.77 -
27 9.4e+03 0.71 0.038 -0.062 -
28 9.4e+03 5.9 0.038 0.35 +
29 9.2e+03 2.5 0.038 0.62 +
30 9.1e+03 2.5 0.38 1.1 ++
31 9.1e+03 2.5 0.19 1.1 -
32 9.1e+03 2.5 0.095 1.1 -
33 9.1e+03 2.5 0.048 1.1 -
34 9.1e+03 2.5 0.024 1.1 -
35 9.1e+03 2.5 0.012 -4.2 -
36 9.1e+03 2.5 0.006 -3.4 -
37 9.1e+03 2.5 0.003 -2.6 -
38 9.1e+03 2.5 0.0015 -1.6 -
39 9.1e+03 2.5 0.00075 -0.62 -
40 9.1e+03 3.2 0.00075 0.13 +
41 9.1e+03 0.86 0.0075 1 ++
42 9.1e+03 0.45 0.075 0.98 ++
43 9e+03 4.3 0.075 0.71 +
44 8.8e+03 2 0.75 0.93 ++
45 8.8e+03 2 0.37 -3.5 -
46 8.8e+03 2 0.19 -2.1 -
47 8.8e+03 2 0.093 -2.2 -
48 8.8e+03 2 0.047 -2.1 -
49 8.8e+03 2 0.023 -1.3 -
50 8.8e+03 2 0.012 -1.3 -
51 8.8e+03 2 0.0058 -1.9 -
52 8.8e+03 2 0.0029 -2.6 -
53 8.8e+03 2 0.0015 -3.4 -
54 8.8e+03 2 0.00073 -4 -
55 8.8e+03 2 0.00036 -2.6 -
56 8.8e+03 2 0.00018 -1.3 -
57 8.8e+03 2 9.1e-05 -0.41 -
58 8.8e+03 1.4 9.1e-05 0.21 +
59 8.8e+03 0.2 0.00091 1.1 ++
60 8.8e+03 0.095 0.0091 1 ++
61 8.8e+03 0.64 0.091 0.98 ++
62 8.7e+03 2.3 0.91 0.94 ++
63 8.7e+03 2.3 0.45 -0.09 -
64 8.5e+03 1.1 0.45 0.45 +
65 8.5e+03 1.1 0.23 -1.3 -
66 8.5e+03 1.1 0.11 -0.4 -
67 8.5e+03 1.1 0.057 0.0038 -
68 8.4e+03 2.7 0.057 0.67 +
69 8.4e+03 0.4 0.057 0.14 +
70 8.4e+03 3.1 0.057 0.83 +
71 8.4e+03 11 0.057 0.64 +
72 8.3e+03 3.1 0.057 0.88 +
73 8.3e+03 8.2 0.057 0.28 +
74 8.3e+03 7.5 0.057 0.81 +
75 8.3e+03 6 0.057 0.67 +
76 8.3e+03 0.81 0.57 0.93 ++
77 8.3e+03 13 0.57 0.31 +
78 8.3e+03 13 0.28 -54 -
79 8.3e+03 13 0.14 -11 -
80 8.3e+03 13 0.071 -2.5 -
81 8.3e+03 13 0.036 -1.2 -
82 8.3e+03 13 0.018 -0.27 -
83 8.3e+03 13 0.0089 -0.24 -
84 8.3e+03 13 0.0044 -0.37 -
85 8.3e+03 13 0.0022 -0.5 -
86 8.3e+03 13 0.0011 -0.59 -
87 8.3e+03 13 0.00056 -0.65 -
88 8.3e+03 13 0.00028 -0.68 -
89 8.3e+03 13 0.00014 0.028 -
90 8.2e+03 3.7 0.00014 0.88 +
91 8.2e+03 3.7 6.9e-05 -0.19 -
92 8.2e+03 3.7 3.5e-05 -0.33 -
93 8.2e+03 3.7 1.7e-05 -0.41 -
94 8.2e+03 1.4 1.7e-05 0.55 +
95 8.2e+03 0.28 1.7e-05 0.86 +
96 8.2e+03 0.044 0.00017 1 ++
97 8.2e+03 1.8 0.0017 1 ++
98 8.2e+03 0.041 0.017 1 ++
99 8.2e+03 0.33 0.17 1 ++
100 8.2e+03 0.33 0.087 -4.1 -
101 8.2e+03 0.33 0.043 -0.83 -
102 8.2e+03 2.7 0.043 0.44 +
103 8.2e+03 3.4 0.043 0.47 +
104 8.2e+03 0.87 0.043 0.7 +
105 8.2e+03 0.33 0.043 0.38 +
106 8.2e+03 4.9 0.043 0.78 +
107 8.2e+03 4.9 0.022 -0.94 -
108 8.2e+03 4.9 0.011 -0.15 -
109 8.2e+03 0.81 0.011 0.6 +
110 8.2e+03 2.4 0.011 0.68 +
111 8.2e+03 0.0098 0.011 0.8 +
112 8.2e+03 0.34 0.11 1 ++
113 8.2e+03 10 0.11 0.26 +
114 8.2e+03 10 0.054 0.081 -
115 8.2e+03 3.9 0.054 0.73 +
116 8.2e+03 3.9 0.027 -1.8 -
117 8.2e+03 1.9 0.027 0.17 +
118 8.2e+03 2.7 0.27 0.97 ++
119 8.2e+03 29 0.27 0.13 +
120 8.2e+03 29 0.14 -3.7 -
121 8.2e+03 29 0.068 -0.76 -
122 8.2e+03 29 0.034 0.096 -
123 8.2e+03 8.1 0.034 0.32 +
124 8.2e+03 5.2 0.034 0.77 +
125 8.2e+03 4.1 0.034 0.28 +
126 8.2e+03 11 0.034 0.61 +
127 8.2e+03 3.5 0.034 0.64 +
128 8.2e+03 3.5 0.017 -0.12 -
129 8.2e+03 3.4 0.017 0.47 +
130 8.2e+03 0.095 0.017 0.77 +
131 8.2e+03 0.095 0.0085 -0.18 -
132 8.2e+03 0.095 0.0042 -0.52 -
133 8.2e+03 0.095 0.0021 0.077 -
134 8.2e+03 2.3 0.0021 0.33 +
135 8.2e+03 1.2 0.0021 0.83 +
136 8.2e+03 0.097 0.021 1 ++
137 8.2e+03 3.4 0.021 0.71 +
138 8.2e+03 0.1 0.021 0.74 +
139 8.2e+03 0.2 0.21 1 ++
140 8.2e+03 0.2 0.11 -1.5 -
141 8.2e+03 0.2 0.053 -1.5 -
142 8.2e+03 0.25 0.053 0.34 +
143 8.2e+03 2.3 0.053 0.39 +
144 8.2e+03 2.3 0.026 -0.75 -
145 8.2e+03 0.2 0.026 0.17 +
146 8.2e+03 1.2 0.026 0.39 +
147 8.2e+03 2 0.026 0.17 +
148 8.2e+03 2 0.013 0.085 -
149 8.2e+03 3.8 0.013 0.48 +
150 8.2e+03 2.1 0.013 0.69 +
151 8.2e+03 2.1 0.0066 0.068 -
152 8.2e+03 0.45 0.0066 0.72 +
153 8.2e+03 0.22 0.0066 0.47 +
154 8.2e+03 0.49 0.0066 0.77 +
155 8.2e+03 0.3 0.0066 0.74 +
156 8.2e+03 0.016 0.0066 0.87 +
157 8.2e+03 0.23 0.0066 0.87 +
158 8.2e+03 0.042 0.0066 0.89 +
159 8.2e+03 0.027 0.066 0.94 ++
160 8.2e+03 0.62 0.066 0.34 +
161 8.2e+03 0.62 0.033 -2.6 -
162 8.2e+03 0.62 0.017 -0.92 -
163 8.2e+03 0.62 0.0083 -0.59 -
164 8.2e+03 0.54 0.0083 0.7 +
165 8.2e+03 0.54 0.0041 -0.15 -
166 8.2e+03 0.014 0.0041 0.53 +
167 8.2e+03 0.074 0.0041 0.17 +
168 8.2e+03 0.25 0.0041 0.36 +
169 8.2e+03 0.25 0.0021 0.096 -
170 8.2e+03 0.086 0.0021 0.76 +
171 8.2e+03 0.067 0.0021 0.45 +
172 8.2e+03 0.15 0.0021 0.74 +
173 8.2e+03 0.034 0.0021 0.85 +
174 8.2e+03 0.016 0.0021 0.87 +
175 8.2e+03 0.0037 0.0021 0.88 +
176 8.2e+03 0.23 0.0021 0.67 +
177 8.2e+03 0.014 0.0021 0.8 +
178 8.2e+03 0.1 0.0021 0.72 +
179 8.2e+03 0.0013 0.021 0.94 ++
180 8.2e+03 0.0013 0.01 -0.75 -
181 8.2e+03 0.0013 0.0052 -0.1 -
182 8.2e+03 0.62 0.0052 0.3 +
183 8.2e+03 0.62 0.0026 -0.32 -
184 8.2e+03 0.12 0.0026 0.53 +
185 8.2e+03 0.41 0.0026 0.42 +
186 8.2e+03 0.17 0.0026 0.7 +
187 8.2e+03 0.045 0.0026 0.38 +
188 8.2e+03 0.016 0.026 0.92 ++
189 8.2e+03 0.016 0.013 -1.1 -
190 8.2e+03 0.016 0.0065 0.018 -
191 8.2e+03 0.016 0.0065 0.41 +
192 8.2e+03 0.016 0.0032 -5.4 -
193 8.2e+03 0.016 0.0016 -1.3 -
194 8.2e+03 0.1 0.0016 0.58 +
195 8.2e+03 0.1 0.00081 0.093 -
196 8.2e+03 0.034 0.00081 0.67 +
197 8.2e+03 0.032 0.00081 0.29 +
198 8.2e+03 0.03 0.00081 0.77 +
199 8.2e+03 0.03 0.0004 -0.18 -
200 8.2e+03 0.0081 0.0004 0.53 +
201 8.2e+03 0.0024 0.0004 0.89 +
202 8.2e+03 0.016 0.0004 0.6 +
203 8.2e+03 0.0048 0.0004 0.88 +
204 8.2e+03 0.0022 0.004 0.95 ++
205 8.2e+03 0.0022 0.002 0.1 -
206 8.2e+03 0.032 0.002 0.49 +
207 8.2e+03 0.032 0.001 -0.87 -
208 8.2e+03 0.032 0.0005 0.08 -
209 8.2e+03 0.00017 0.0005 0.41 +
210 8.2e+03 0.00017 0.00025 -0.16 -
211 8.2e+03 0.0039 0.00025 0.58 +
212 8.2e+03 0.0018 0.00025 0.35 +
213 8.2e+03 0.0003 0.00025 0.17 +
214 8.2e+03 0.0003 0.00013 -1.4 -
215 8.2e+03 0.0016 0.00013 0.41 +
216 8.2e+03 0.015 0.00013 0.28 +
217 8.2e+03 0.0085 0.00013 0.53 +
218 8.2e+03 0.0085 6.3e-05 -1.1 -
219 8.2e+03 0.0041 6.3e-05 0.48 +
220 8.2e+03 0.0024 6.3e-05 0.61 +
221 8.2e+03 0.0024 3.2e-05 0.051 -
222 8.2e+03 0.0014 3.2e-05 0.63 +
223 8.2e+03 0.00078 3.2e-05 0.87 +
224 8.2e+03 0.00056 3.2e-05 0.9 +
225 8.2e+03 0.00094 3.2e-05 0.66 +
226 8.2e+03 0.00088 3.2e-05 0.49 +
227 8.2e+03 9.1e-05 3.2e-05 0.9 +
228 8.2e+03 0.00048 3.2e-05 0.9 +
229 8.2e+03 0.00033 3.2e-05 0.74 +
230 8.2e+03 0.0012 3.2e-05 0.45 +
231 8.2e+03 0.0005 3.2e-05 0.69 +
232 8.2e+03 0.0005 1.6e-05 -0.077 -
233 8.2e+03 8e-06 1.6e-05 0.55 +
234 8.2e+03 0.00034 1.6e-05 0.71 +
235 8.2e+03 0.00026 1.6e-05 0.51 +
236 8.2e+03 7.2e-05 1.6e-05 0.76 +
237 8.2e+03 1.4e-05 1.6e-05 0.86 +
238 8.2e+03 2.1e-05 1.6e-05 0.82 +
239 8.2e+03 1.9e-05 1.6e-05 0.68 +
240 8.2e+03 1.9e-05 7.9e-06 -0.0088 -
241 8.2e+03 1.4e-05 7.9e-06 0.68 +
242 8.2e+03 2.8e-06 7.9e-06 0.54 +
Considering neighbor 3/20 for current solution
*** New pareto solution:
asc:LUGGAGE;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:nested existing;train_tt_catalog:power [8162.263368845492, 16]
Attempt 21/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000037
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.65 -
1 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 0.02 -
2 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.4e+03 0.059 0.25 0.53 +
3 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.4e+03 0.059 0.12 -1.2 -
4 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.4e+03 0.059 0.062 -0.071 -
5 -0.31 -0.31 -0.31 -0.31 0.19 0.19 0.31 -0.19 -0.19 1.3 9.3e+03 0.049 0.062 0.49 +
6 -0.27 -0.3 -0.29 -0.38 0.12 0.12 0.25 -0.25 -0.21 1.2 9.2e+03 0.052 0.062 0.79 +
7 -0.34 -0.37 -0.35 -0.44 0.062 0.062 0.19 -0.31 -0.14 1.3 9e+03 0.03 0.062 0.83 +
8 -0.34 -0.43 -0.35 -0.5 0 0 0.12 -0.38 -0.21 1.2 8.9e+03 0.039 0.062 0.81 +
9 -0.37 -0.49 -0.39 -0.56 -0.062 -0.062 0.075 -0.35 -0.14 1.3 8.9e+03 0.037 0.062 0.65 +
10 -0.31 -0.45 -0.33 -0.62 -0.12 -0.12 0.012 -0.42 -0.21 1.2 8.9e+03 0.077 0.062 0.13 +
11 -0.37 -0.51 -0.39 -0.66 -0.15 -0.16 0.013 -0.35 -0.21 1.3 8.8e+03 0.045 0.062 0.8 +
12 -0.39 -0.57 -0.45 -0.64 -0.19 -0.15 -0.05 -0.42 -0.27 1.2 8.8e+03 0.034 0.062 0.6 +
13 -0.33 -0.63 -0.44 -0.7 -0.26 -0.21 -0.09 -0.37 -0.24 1.2 8.7e+03 0.035 0.062 0.76 +
14 -0.35 -0.68 -0.46 -0.7 -0.25 -0.21 -0.14 -0.43 -0.3 1.2 8.7e+03 0.038 0.062 0.8 +
15 -0.34 -0.7 -0.46 -0.72 -0.32 -0.27 -0.14 -0.4 -0.29 1.2 8.7e+03 0.025 0.62 0.94 ++
16 -0.33 -0.99 -0.59 -0.8 -0.94 -0.59 -0.43 -0.7 -0.62 1.1 8.6e+03 0.051 0.62 0.38 +
17 -0.33 -0.99 -0.59 -0.8 -0.94 -0.59 -0.43 -0.7 -0.62 1.1 8.6e+03 0.051 0.31 -1.1 -
18 -0.33 -0.99 -0.59 -0.8 -0.94 -0.59 -0.43 -0.7 -0.62 1.1 8.6e+03 0.051 0.16 -0.4 -
19 -0.37 -1.2 -0.69 -0.77 -1 -0.62 -0.43 -0.63 -0.64 1.2 8.5e+03 0.03 0.16 0.39 +
20 -0.31 -1.2 -0.73 -0.84 -1.1 -0.68 -0.5 -0.62 -0.55 1 8.5e+03 0.025 0.16 0.48 +
21 -0.32 -1.3 -0.76 -0.84 -1 -0.68 -0.56 -0.63 -0.58 1 8.5e+03 0.0062 0.16 0.87 +
22 -0.32 -1.3 -0.76 -0.84 -1 -0.68 -0.56 -0.63 -0.58 1 8.5e+03 0.0062 0.078 -1.1 -
23 -0.29 -1.2 -0.74 -0.83 -1.1 -0.67 -0.55 -0.62 -0.66 1 8.5e+03 0.014 0.078 0.15 +
24 -0.3 -1.3 -0.76 -0.83 -1.1 -0.68 -0.55 -0.61 -0.65 1 8.5e+03 0.0037 0.078 0.61 +
25 -0.3 -1.3 -0.76 -0.83 -1.1 -0.68 -0.55 -0.61 -0.65 1 8.5e+03 0.0037 0.039 -0.25 -
26 -0.28 -1.3 -0.76 -0.86 -1.1 -0.72 -0.58 -0.63 -0.64 1 8.5e+03 0.0047 0.039 0.46 +
27 -0.26 -1.3 -0.77 -0.85 -1.1 -0.72 -0.58 -0.62 -0.68 1 8.5e+03 0.0012 0.039 0.83 +
28 -0.25 -1.4 -0.8 -0.86 -1.1 -0.76 -0.6 -0.62 -0.68 1 8.5e+03 0.0047 0.039 0.28 +
29 -0.21 -1.4 -0.8 -0.86 -1.1 -0.79 -0.62 -0.62 -0.72 1 8.5e+03 0.0062 0.039 0.18 +
30 -0.2 -1.4 -0.82 -0.86 -1.1 -0.81 -0.61 -0.6 -0.72 1 8.5e+03 0.0011 0.039 0.83 +
31 -0.2 -1.4 -0.82 -0.86 -1.1 -0.81 -0.61 -0.6 -0.72 1 8.5e+03 0.0011 0.02 -0.11 -
32 -0.2 -1.4 -0.82 -0.86 -1.1 -0.81 -0.6 -0.6 -0.73 1 8.5e+03 0.00085 0.02 0.37 +
33 -0.21 -1.4 -0.83 -0.86 -1.1 -0.83 -0.61 -0.6 -0.74 1 8.5e+03 0.00046 0.02 0.76 +
34 -0.2 -1.4 -0.85 -0.85 -1.1 -0.85 -0.61 -0.59 -0.75 1 8.5e+03 0.00047 0.02 0.13 +
35 -0.21 -1.4 -0.84 -0.86 -1.1 -0.86 -0.61 -0.59 -0.76 1 8.5e+03 0.00069 0.02 0.2 +
36 -0.21 -1.4 -0.84 -0.86 -1.1 -0.86 -0.61 -0.59 -0.76 1 8.5e+03 0.00069 0.0098 -0.32 -
37 -0.21 -1.3 -0.85 -0.86 -1.1 -0.86 -0.61 -0.59 -0.76 1 8.5e+03 0.00062 0.0098 0.79 +
38 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.6 -0.59 -0.77 1 8.5e+03 0.00014 0.0098 0.31 +
39 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.6 -0.59 -0.77 1 8.5e+03 0.00014 0.0049 -4.6 -
40 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.6 -0.59 -0.77 1 8.5e+03 0.00014 0.0024 -1.7 -
41 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.6 -0.59 -0.77 1 8.5e+03 0.00014 0.0012 -0.4 -
42 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.6 -0.59 -0.77 1 8.5e+03 0.00029 0.0012 0.47 +
43 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.6 -0.59 -0.77 1 8.5e+03 0.00013 0.0012 0.76 +
44 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.61 -0.59 -0.77 1 8.5e+03 0.00019 0.0012 0.35 +
45 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.61 -0.59 -0.77 1 8.5e+03 0.00013 0.0012 0.61 +
46 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.61 -0.59 -0.77 1 8.5e+03 3.3e-05 0.0012 0.83 +
47 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.61 -0.59 -0.77 1 8.5e+03 3.3e-05 0.00061 -0.19 -
48 -0.21 -1.3 -0.86 -0.86 -1.1 -0.87 -0.61 -0.58 -0.77 1 8.5e+03 2.5e-05 0.00061 0.44 +
49 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.6e-05 0.00061 0.77 +
50 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 3.1e-05 0.00061 0.46 +
51 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.4e-05 0.00061 0.51 +
52 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.4e-05 0.00031 -0.21 -
53 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 2.5e-05 0.00031 0.56 +
54 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.2e-05 0.00031 0.66 +
55 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.2e-05 0.00015 -1.6 -
56 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.2e-05 7.6e-05 -0.26 -
57 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.2e-05 3.8e-05 -1 -
58 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 1.7e-05 3.8e-05 0.23 +
59 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 7e-06 0.00038 0.97 ++
60 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 7e-06 0.00019 -0.039 -
61 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 1 8.5e+03 5.9e-06 0.00019 0.61 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000038
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st square_tt_coef cube_tt_coef b_cost asc_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -0.21 -
1 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 5 1.1 ++
2 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 2.5 -9.7 -
3 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 1.2 -7.6 -
4 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.62 -5.9 -
5 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.31 -4.7 -
6 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.16 -3.1 -
7 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.078 -2.4 -
8 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.039 -2.7 -
9 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.02 -3.5 -
10 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.0098 -4.4 -
11 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.0049 -5.2 -
12 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.0024 -4.6 -
13 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.0012 -2.7 -
14 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.00061 -1.3 -
15 -0.5 -0.5 -0.5 0 0 -0.5 0.034 8.9e+03 4.3 0.00031 -0.22 -
16 -0.5 -0.5 -0.5 0.00031 -0.00031 -0.5 0.034 8.9e+03 2.8 0.00031 0.65 +
17 -0.5 -0.5 -0.5 0.00061 -0.00023 -0.5 0.034 8.9e+03 1.2 0.00031 0.8 +
18 -0.5 -0.5 -0.5 0.00092 -0.00026 -0.5 0.034 8.9e+03 0.15 0.0031 0.99 ++
19 -0.5 -0.5 -0.5 0.004 -0.00026 -0.5 0.033 8.9e+03 0.3 0.031 1 ++
20 -0.51 -0.52 -0.51 0.034 -0.00041 -0.5 0.031 8.8e+03 0.23 0.31 1 ++
21 -0.67 -0.79 -0.55 0.066 -0.00054 -0.81 -0.0049 8.6e+03 0.77 3.1 1 ++
22 -0.67 -0.79 -0.55 0.066 -0.00054 -0.81 -0.0049 8.6e+03 0.77 1.5 -1.9e+02 -
23 -0.67 -0.79 -0.55 0.066 -0.00054 -0.81 -0.0049 8.6e+03 0.77 0.76 -98 -
24 -0.67 -0.79 -0.55 0.066 -0.00054 -0.81 -0.0049 8.6e+03 0.77 0.38 -34 -
25 -0.67 -0.79 -0.55 0.066 -0.00054 -0.81 -0.0049 8.6e+03 0.77 0.19 -4.2 -
26 -0.82 -0.98 -0.65 -0.068 2.8e-05 -0.85 -0.0047 8.6e+03 1.3 0.19 0.35 +
27 -0.69 -1.2 -0.77 -0.062 2.4e-05 -0.85 -0.0054 8.6e+03 7.4 1.9 0.99 ++
28 -0.69 -1.2 -0.77 -0.062 2.4e-05 -0.85 -0.0054 8.6e+03 7.4 0.38 -5.1 -
29 -0.69 -1.2 -0.77 -0.062 2.4e-05 -0.85 -0.0054 8.6e+03 7.4 0.19 -0.071 -
30 -0.65 -1.4 -0.83 -0.087 9.7e-05 -0.87 0.093 8.5e+03 9 0.19 0.75 +
31 -0.53 -1.6 -0.85 -0.092 0.00015 -0.88 0.12 8.5e+03 5.7 1.9 0.91 ++
32 -0.51 -1.6 -0.78 -0.094 0.00014 -0.86 0.13 8.5e+03 2.4 1.9 0.9 +
33 -0.51 -1.6 -0.79 -0.094 0.00015 -0.86 0.14 8.5e+03 0.051 19 1 ++
34 -0.51 -1.6 -0.79 -0.094 0.00015 -0.86 0.14 8.5e+03 3.8e-05 1.9e+02 1 ++
35 -0.51 -1.6 -0.79 -0.094 0.00015 -0.86 0.14 8.5e+03 0.00093 1.9e+03 1 ++
36 -0.51 -1.6 -0.79 -0.094 0.00015 -0.86 0.14 8.5e+03 2.1e-07 1.9e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 22/100
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000039
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train lambda_travel_t b_cost b_time_swissmet asc_car b_time_car mu_public Function Relgrad Radius Rho
0 0 0 1 0 0 0 0 1 1.1e+04 0.22 0.5 -0.063 -
1 -0.5 -0.5 1 -0.5 -0.5 0.5 -0.5 1.5 9.6e+03 0.15 0.5 0.53 +
2 -0.65 -1 1.5 0 -1 0 -1 1 9.1e+03 0.071 0.5 0.27 +
3 -0.69 -1.2 1 -0.5 -1.1 0.16 -0.5 1.1 8.9e+03 0.078 0.5 0.51 +
4 -0.5 -1.2 0.96 -0.57 -1.1 -0.34 -1 1 8.8e+03 0.051 0.5 0.24 +
5 -0.5 -1.2 0.96 -0.57 -1.1 -0.34 -1 1 8.8e+03 0.051 0.25 -0.67 -
6 -0.65 -1.3 0.93 -0.68 -1.1 -0.17 -0.91 1.2 8.7e+03 0.035 0.25 0.53 +
7 -0.65 -1.3 0.93 -0.68 -1.1 -0.17 -0.91 1.2 8.7e+03 0.035 0.12 -0.067 -
8 -0.52 -1.2 0.81 -0.81 -1.1 -0.25 -0.83 1.1 8.6e+03 0.027 0.12 0.44 +
9 -0.56 -1.3 0.81 -0.79 -1.1 -0.19 -0.82 1.2 8.6e+03 0.0092 0.12 0.82 +
10 -0.49 -1.5 0.8 -0.74 -1.2 -0.22 -0.87 1.1 8.6e+03 0.016 0.12 0.65 +
11 -0.49 -1.6 0.76 -0.74 -1.2 -0.15 -0.88 1.1 8.6e+03 0.0054 0.12 0.87 +
12 -0.46 -1.7 0.66 -0.77 -1.3 -0.13 -0.96 1 8.6e+03 0.016 0.12 0.84 +
13 -0.49 -1.8 0.61 -0.78 -1.4 -0.1 -1 1 8.5e+03 0.0082 0.12 0.89 +
14 -0.37 -2 0.54 -0.77 -1.4 0.022 -1.1 1 8.5e+03 0.012 0.12 0.47 +
15 -0.36 -2.1 0.51 -0.74 -1.5 -0.07 -1.2 1 8.5e+03 0.0097 0.12 0.63 +
16 -0.36 -2.1 0.51 -0.74 -1.5 -0.07 -1.2 1 8.5e+03 0.0097 0.062 -0.15 -
17 -0.36 -2.1 0.51 -0.74 -1.5 -0.07 -1.2 1 8.5e+03 0.0097 0.031 0.0064 -
18 -0.39 -2.1 0.48 -0.77 -1.5 -0.039 -1.2 1 8.5e+03 0.0057 0.031 0.59 +
19 -0.36 -2.1 0.45 -0.8 -1.5 -0.0075 -1.2 1 8.5e+03 0.0067 0.031 0.45 +
20 -0.36 -2.2 0.44 -0.78 -1.5 -0.026 -1.2 1 8.5e+03 0.0065 0.31 0.95 ++
21 -0.22 -2.5 0.38 -0.77 -1.6 0.099 -1.3 1 8.5e+03 0.011 0.31 0.35 +
22 -0.22 -2.5 0.38 -0.77 -1.6 0.099 -1.3 1 8.5e+03 0.011 0.16 -4 -
23 -0.22 -2.5 0.38 -0.77 -1.6 0.099 -1.3 1 8.5e+03 0.011 0.078 -0.45 -
24 -0.21 -2.5 0.3 -0.82 -1.7 0.028 -1.3 1 8.5e+03 0.0053 0.078 0.54 +
25 -0.21 -2.5 0.3 -0.82 -1.7 0.028 -1.3 1 8.5e+03 0.0053 0.039 -0.11 -
26 -0.22 -2.5 0.33 -0.79 -1.7 0.055 -1.4 1 8.5e+03 0.0017 0.039 0.57 +
27 -0.2 -2.5 0.29 -0.79 -1.7 0.063 -1.4 1 8.5e+03 0.0025 0.039 0.64 +
28 -0.2 -2.6 0.29 -0.81 -1.7 0.043 -1.4 1 8.5e+03 0.0028 0.039 0.13 +
29 -0.2 -2.6 0.29 -0.81 -1.7 0.043 -1.4 1 8.5e+03 0.0028 0.02 -0.025 -
30 -0.19 -2.6 0.29 -0.79 -1.7 0.062 -1.4 1 8.5e+03 0.0015 0.02 0.37 +
31 -0.19 -2.6 0.28 -0.79 -1.7 0.062 -1.4 1 8.5e+03 0.00066 0.2 0.94 ++
32 -0.19 -2.6 0.28 -0.79 -1.7 0.062 -1.4 1 8.5e+03 0.00066 0.098 -7 -
33 -0.19 -2.6 0.28 -0.79 -1.7 0.062 -1.4 1 8.5e+03 0.00066 0.049 -3.5 -
34 -0.19 -2.6 0.28 -0.79 -1.7 0.062 -1.4 1 8.5e+03 0.00066 0.024 -2.2 -
35 -0.19 -2.6 0.28 -0.79 -1.7 0.062 -1.4 1 8.5e+03 0.00066 0.012 0.075 -
36 -0.19 -2.6 0.28 -0.79 -1.7 0.062 -1.4 1 8.5e+03 0.00066 0.0061 0.047 -
37 -0.18 -2.6 0.28 -0.8 -1.7 0.068 -1.4 1 8.5e+03 0.00055 0.0061 0.54 +
38 -0.18 -2.6 0.28 -0.79 -1.7 0.065 -1.4 1 8.5e+03 0.00068 0.0061 0.51 +
39 -0.18 -2.6 0.28 -0.79 -1.7 0.071 -1.4 1 8.5e+03 0.00038 0.0061 0.82 +
40 -0.17 -2.6 0.28 -0.79 -1.7 0.07 -1.4 1 8.5e+03 0.0006 0.0061 0.81 +
41 -0.17 -2.6 0.27 -0.79 -1.7 0.072 -1.4 1 8.5e+03 0.00037 0.0061 0.63 +
42 -0.17 -2.6 0.27 -0.8 -1.7 0.074 -1.4 1 8.5e+03 0.00028 0.0061 0.84 +
43 -0.17 -2.6 0.27 -0.8 -1.7 0.074 -1.4 1 8.5e+03 0.00028 0.0031 -0.16 -
44 -0.17 -2.6 0.27 -0.79 -1.7 0.073 -1.4 1 8.5e+03 0.0003 0.0031 0.47 +
45 -0.17 -2.6 0.27 -0.8 -1.7 0.075 -1.4 1 8.5e+03 0.00015 0.031 0.94 ++
46 -0.17 -2.6 0.27 -0.8 -1.7 0.075 -1.4 1 8.5e+03 0.00015 0.015 -2.6 -
47 -0.17 -2.6 0.27 -0.8 -1.7 0.075 -1.4 1 8.5e+03 0.00015 0.0076 0.034 -
48 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 0.00022 0.0076 0.69 +
49 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 0.00022 0.0038 -3.8 -
50 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 0.00022 0.0019 -0.62 -
51 -0.16 -2.6 0.27 -0.8 -1.7 0.076 -1.4 1 8.5e+03 0.00011 0.0019 0.55 +
52 -0.16 -2.6 0.27 -0.8 -1.7 0.076 -1.4 1 8.5e+03 0.00011 0.00095 -0.11 -
53 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 5.5e-05 0.00095 0.68 +
54 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 8.6e-05 0.00095 0.3 +
55 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 3.1e-05 0.00095 0.58 +
56 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 4.1e-05 0.00095 0.58 +
57 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 4.3e-05 0.00095 0.43 +
58 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 4.3e-05 0.00048 0.038 -
59 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 2.2e-05 0.00048 0.58 +
60 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 1.8e-05 0.00048 0.11 +
61 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 1.8e-05 0.00024 -0.4 -
62 -0.16 -2.6 0.27 -0.8 -1.7 0.077 -1.4 1 8.5e+03 5.6e-06 0.00024 0.78 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000040
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_train lambda_travel_t b_cost b_time_swissmet asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se b_time_car Function Relgrad Radius Rho
0 -0.99 0.55 0.0022 -0.017 -0.95 2 -0.95 -0.79 -0.38 -0.36 -0.34 -0.039 -0.69 8.9e+03 0.071 1 0.7 +
1 -1.4 1.6 0.44 0.084 -1.1 1.3 -0.53 -1.3 -0.002 -0.69 0.12 -0.12 -1 8.4e+03 0.014 10 0.96 ++
2 -1.4 1.6 0.44 0.084 -1.1 1.3 -0.53 -1.3 -0.002 -0.69 0.12 -0.12 -1 8.4e+03 0.014 0.82 -0.8 -
3 -1.2 1.5 0.66 0.32 -1.9 0.45 -0.82 -1.7 0.13 -0.86 -0.051 -0.23 -1.5 8.2e+03 0.006 8.2 1.1 ++
4 -1 1.4 0.53 0.59 -2.3 0.23 -0.73 -1.8 0.17 -0.95 -0.083 -0.44 -1.5 8.2e+03 0.0017 82 1 ++
5 -1 1.4 0.53 0.55 -2.3 0.22 -0.74 -1.7 0.16 -0.95 -0.081 -0.45 -1.5 8.2e+03 1.9e-05 8.2e+02 1 ++
6 -1 1.4 0.53 0.55 -2.3 0.22 -0.74 -1.7 0.16 -0.95 -0.081 -0.45 -1.5 8.2e+03 5.9e-09 8.2e+02 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:boxcox [8161.281142128263, 13]
Attempt 23/100
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000041
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se b_cost_car Function Relgrad Radius Rho
0 -0.51 0.26 0.0094 -0.0091 -1 -0.42 -0.4 -0.1 -0.28 -0.2 -0.024 -0.2 8.7e+03 0.061 10 1.1 ++
1 -1.1 1.3 0.35 0.38 -1.2 -0.82 -0.71 -0.31 -0.7 -0.035 -0.31 -0.34 8.3e+03 0.015 1e+02 1.1 ++
2 -1.2 1.2 0.53 0.58 -1.3 -1 -0.75 -0.31 -1 -0.042 -0.42 -0.35 8.2e+03 0.0015 1e+03 1.1 ++
3 -1.2 1.1 0.56 0.61 -1.3 -1 -0.76 -0.31 -1.1 -0.043 -0.43 -0.35 8.2e+03 3.4e-05 1e+04 1 ++
4 -1.2 1.1 0.56 0.61 -1.3 -1 -0.76 -0.31 -1.1 -0.043 -0.43 -0.35 8.2e+03 2.9e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 15 unknown parameters [max: 50]
*** Estimate b07everything_000042
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -0.91 0.83 0.049 0.01 -0.83 -0.15 -0.64 -1 0.27 -0.28 -0.4 -0.17 -0.059 -0.78 -0.038 8.5e+03 0.084 10 1.1 ++
1 -1.3 1.4 0.36 0.43 -1.4 0.68 -0.73 -1.7 2.2 -0.38 -0.78 -0.07 -0.34 -1.1 0.97 8.2e+03 0.027 1e+02 0.99 ++
2 -1.4 1.4 0.52 0.6 -1.5 0.11 -0.75 -1.8 1.1 -0.52 -0.92 -0.084 -0.42 -1.1 0.44 8.1e+03 0.014 1e+02 0.42 +
3 -1.4 1.4 0.54 0.65 -1.5 0.61 -0.76 -1.8 2.2 -0.4 -0.94 -0.08 -0.42 -1.2 0.97 8.1e+03 0.0081 1e+02 0.15 +
4 -1.4 1.4 0.54 0.65 -1.5 0.61 -0.76 -1.8 2.2 -0.4 -0.94 -0.08 -0.42 -1.2 0.97 8.1e+03 0.0081 0.51 -0.05 -
5 -1.4 1.4 0.56 0.64 -1.7 0.4 -0.74 -2 1.7 -0.52 -0.94 -0.079 -0.42 -1.2 0.69 8.1e+03 0.011 0.51 0.54 +
6 -1.4 1.4 0.54 0.64 -1.5 0.33 -0.75 -1.8 1.6 -0.44 -0.94 -0.082 -0.42 -1.2 0.64 8.1e+03 0.00029 5.1 0.98 ++
7 -1.4 1.4 0.54 0.64 -1.5 0.33 -0.75 -1.8 1.6 -0.44 -0.94 -0.082 -0.42 -1.2 0.64 8.1e+03 5e-07 5.1 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:linear [8120.4210574371755, 15]
Attempt 24/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000043
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se b_cost_car Function Relgrad Radius Rho
0 -0.46 0.21 0.0054 -0.01 -1 -0.097 1.3 -0.35 -0.27 -0.17 -0.25 -0.24 -0.021 -0.26 8.9e+03 0.063 10 0.93 ++
1 -0.46 0.21 0.0054 -0.01 -1 -0.097 1.3 -0.35 -0.27 -0.17 -0.25 -0.24 -0.021 -0.26 8.9e+03 0.063 5 -4.3e+05 -
2 -0.46 0.21 0.0054 -0.01 -1 -0.097 1.3 -0.35 -0.27 -0.17 -0.25 -0.24 -0.021 -0.26 8.9e+03 0.063 2.5 -55 -
3 -0.46 0.21 0.0054 -0.01 -1 -0.097 1.3 -0.35 -0.27 -0.17 -0.25 -0.24 -0.021 -0.26 8.9e+03 0.063 1.2 -1.8 -
4 -0.79 1.3 0.36 0.1 -1.9 -0.58 0.079 -1.1 -0.98 -0.36 -0.8 0.014 -0.15 -0.37 8.3e+03 0.028 1.2 0.8 +
5 -0.85 1.2 0.53 0.51 -1.7 -0.61 0.27 -1.1 -0.71 0.068 -1 -0.094 -0.5 -0.5 8.2e+03 0.0015 12 1 ++
6 -0.9 1.2 0.55 0.51 -1.7 -0.58 0.34 -1.1 -0.74 0.0008 -1 -0.081 -0.51 -0.49 8.2e+03 0.00025 1.2e+02 1 ++
7 -0.9 1.2 0.55 0.51 -1.7 -0.58 0.34 -1.1 -0.74 0.0008 -1 -0.081 -0.51 -0.49 8.2e+03 1.2e-06 1.2e+02 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:altspec;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:boxcox [8158.489930879541, 14]
Attempt 25/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000044
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.7 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.25 0.044 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 1.2 9.4e+03 0.061 0.25 0.57 +
3 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 1.2 9.4e+03 0.061 0.12 -0.074 -
4 -0.38 -0.12 -0.12 -0.12 -0.38 -0.38 -0.38 0.12 0.38 -0.38 -0.12 -0.38 -0.12 1.4 9.2e+03 0.061 0.12 0.47 +
5 -0.25 2.8e-17 0 0 -0.5 -0.5 -0.5 0 0.25 -0.5 -0.25 -0.5 -0.25 1.2 8.8e+03 0.055 0.12 0.75 +
6 -0.38 0.13 -0.0041 -0.017 -0.62 -0.62 -0.62 -0.12 0.12 -0.62 -0.13 -0.55 -0.3 1.4 8.6e+03 0.044 0.12 0.71 +
7 -0.25 0.25 0.12 0.0024 -0.75 -0.55 -0.65 -0.25 0 -0.75 -0.22 -0.56 -0.34 1.3 8.6e+03 0.045 0.12 0.39 +
8 -0.38 0.32 -0.0041 0.00055 -0.88 -0.55 -0.78 -0.38 0.12 -0.78 -0.094 -0.56 -0.21 1.4 8.5e+03 0.053 0.12 0.29 +
9 -0.31 0.38 0.085 0.0042 -0.93 -0.54 -0.76 -0.32 0 -0.8 -0.17 -0.56 -0.34 1.3 8.4e+03 0.045 0.12 0.76 +
10 -0.32 0.51 0.18 0.011 -0.94 -0.51 -0.82 -0.44 0.078 -0.84 -0.12 -0.56 -0.23 1.4 8.4e+03 0.043 0.12 0.13 +
11 -0.37 0.57 0.2 0.017 -1.1 -0.5 -0.87 -0.44 -0.032 -0.87 -0.17 -0.56 -0.32 1.5 8.3e+03 0.036 0.12 0.71 +
12 -0.35 0.6 0.24 0.025 -1.1 -0.48 -0.84 -0.57 -0.081 -0.89 -0.19 -0.56 -0.34 1.4 8.3e+03 0.027 0.12 0.29 +
13 -0.48 0.64 0.2 0.039 -1.1 -0.45 -0.92 -0.66 -0.12 -0.93 -0.17 -0.56 -0.35 1.5 8.3e+03 0.017 0.12 0.46 +
14 -0.48 0.64 0.2 0.039 -1.1 -0.45 -0.92 -0.66 -0.12 -0.93 -0.17 -0.56 -0.35 1.5 8.3e+03 0.017 0.062 -1.1 -
15 -0.44 0.68 0.25 0.046 -1.1 -0.44 -0.92 -0.63 -0.19 -0.94 -0.19 -0.56 -0.41 1.5 8.3e+03 0.014 0.062 0.43 +
16 -0.48 0.73 0.26 0.066 -1.1 -0.4 -0.98 -0.7 -0.2 -0.96 -0.15 -0.57 -0.39 1.5 8.3e+03 0.013 0.062 0.54 +
17 -0.54 0.74 0.24 0.08 -1.1 -0.38 -1 -0.69 -0.23 -0.97 -0.14 -0.57 -0.4 1.5 8.3e+03 0.012 0.062 0.23 +
18 -0.55 0.76 0.26 0.1 -1.1 -0.35 -1 -0.74 -0.29 -0.99 -0.13 -0.57 -0.44 1.4 8.3e+03 0.0048 0.062 0.69 +
19 -0.61 0.8 0.29 0.15 -1.1 -0.3 -1.1 -0.74 -0.32 -1 -0.083 -0.57 -0.44 1.4 8.3e+03 0.01 0.062 0.58 +
20 -0.66 0.8 0.31 0.2 -1.1 -0.27 -1.1 -0.78 -0.35 -1.1 -0.064 -0.57 -0.44 1.4 8.3e+03 0.0036 0.062 0.59 +
21 -0.72 0.83 0.36 0.26 -1.1 -0.25 -1.1 -0.77 -0.34 -1.1 -0.072 -0.56 -0.41 1.3 8.3e+03 0.0018 0.062 0.69 +
22 -0.72 0.83 0.36 0.26 -1.1 -0.25 -1.1 -0.77 -0.34 -1.1 -0.072 -0.56 -0.41 1.3 8.3e+03 0.0018 0.031 -1.1 -
23 -0.72 0.83 0.36 0.26 -1.1 -0.25 -1.1 -0.77 -0.34 -1.1 -0.072 -0.56 -0.41 1.3 8.3e+03 0.0018 0.016 -0.14 -
24 -0.71 0.84 0.37 0.27 -1.1 -0.24 -1.1 -0.76 -0.34 -1.1 -0.072 -0.56 -0.41 1.3 8.3e+03 0.0033 0.016 0.27 +
25 -0.73 0.84 0.36 0.28 -1.1 -0.24 -1.1 -0.76 -0.34 -1.1 -0.065 -0.56 -0.4 1.3 8.2e+03 0.0011 0.016 0.77 +
26 -0.74 0.84 0.36 0.29 -1.1 -0.24 -1.1 -0.76 -0.34 -1.1 -0.068 -0.55 -0.41 1.3 8.2e+03 0.0015 0.016 0.5 +
27 -0.75 0.85 0.36 0.3 -1.1 -0.24 -1.1 -0.76 -0.33 -1.1 -0.063 -0.55 -0.4 1.3 8.2e+03 0.0016 0.016 0.77 +
28 -0.76 0.87 0.38 0.31 -1.1 -0.24 -1.1 -0.75 -0.34 -1.1 -0.065 -0.55 -0.41 1.3 8.2e+03 0.0031 0.016 0.39 +
29 -0.77 0.87 0.38 0.32 -1.1 -0.24 -1.1 -0.76 -0.33 -1.1 -0.063 -0.55 -0.4 1.3 8.2e+03 0.00064 0.16 0.91 ++
30 -0.77 0.87 0.38 0.32 -1.1 -0.24 -1.1 -0.76 -0.33 -1.1 -0.063 -0.55 -0.4 1.3 8.2e+03 0.00064 0.078 -4.1 -
31 -0.77 0.87 0.38 0.32 -1.1 -0.24 -1.1 -0.76 -0.33 -1.1 -0.063 -0.55 -0.4 1.3 8.2e+03 0.00064 0.039 -1.4 -
32 -0.77 0.87 0.38 0.32 -1.1 -0.24 -1.1 -0.76 -0.33 -1.1 -0.063 -0.55 -0.4 1.3 8.2e+03 0.00064 0.02 -0.4 -
33 -0.79 0.88 0.38 0.33 -1.2 -0.24 -1 -0.77 -0.33 -1.1 -0.065 -0.54 -0.4 1.3 8.2e+03 0.0026 0.02 0.11 +
34 -0.81 0.89 0.39 0.35 -1.2 -0.24 -1 -0.76 -0.33 -1.1 -0.061 -0.54 -0.4 1.3 8.2e+03 0.00065 0.2 0.94 ++
35 -0.81 0.89 0.39 0.35 -1.2 -0.24 -1 -0.76 -0.33 -1.1 -0.061 -0.54 -0.4 1.3 8.2e+03 0.00065 0.098 -3.1 -
36 -0.81 0.89 0.39 0.35 -1.2 -0.24 -1 -0.76 -0.33 -1.1 -0.061 -0.54 -0.4 1.3 8.2e+03 0.00065 0.049 -1.8 -
37 -0.81 0.89 0.39 0.35 -1.2 -0.24 -1 -0.76 -0.33 -1.1 -0.061 -0.54 -0.4 1.3 8.2e+03 0.00065 0.024 -1 -
38 -0.82 0.91 0.41 0.37 -1.2 -0.23 -1 -0.76 -0.33 -1.1 -0.059 -0.53 -0.39 1.2 8.2e+03 0.0028 0.024 0.21 +
39 -0.85 0.92 0.41 0.38 -1.2 -0.23 -1 -0.76 -0.33 -1.1 -0.06 -0.53 -0.39 1.2 8.2e+03 0.00057 0.024 0.88 +
40 -0.87 0.93 0.42 0.4 -1.2 -0.22 -1 -0.75 -0.33 -1.1 -0.057 -0.52 -0.39 1.2 8.2e+03 0.0013 0.024 0.55 +
41 -0.89 0.94 0.42 0.41 -1.2 -0.22 -1 -0.75 -0.32 -1.1 -0.055 -0.52 -0.39 1.2 8.2e+03 0.0011 0.024 0.7 +
42 -0.89 0.94 0.42 0.41 -1.2 -0.22 -1 -0.75 -0.32 -1.1 -0.055 -0.52 -0.39 1.2 8.2e+03 0.0011 0.012 0.021 -
43 -0.9 0.95 0.44 0.42 -1.2 -0.22 -1 -0.76 -0.32 -1.1 -0.059 -0.51 -0.39 1.2 8.2e+03 0.0011 0.012 0.5 +
44 -0.91 0.95 0.44 0.43 -1.2 -0.22 -1 -0.76 -0.32 -1.1 -0.057 -0.51 -0.39 1.2 8.2e+03 0.00043 0.012 0.84 +
45 -0.92 0.96 0.44 0.43 -1.2 -0.22 -1 -0.76 -0.32 -1.1 -0.055 -0.51 -0.39 1.2 8.2e+03 0.00093 0.012 0.52 +
46 -0.93 0.97 0.44 0.44 -1.2 -0.21 -1 -0.75 -0.32 -1.1 -0.054 -0.5 -0.38 1.2 8.2e+03 0.00035 0.012 0.85 +
47 -0.94 0.97 0.45 0.45 -1.2 -0.21 -1 -0.76 -0.32 -1.1 -0.056 -0.5 -0.39 1.2 8.2e+03 0.00071 0.012 0.67 +
48 -0.95 0.98 0.46 0.46 -1.2 -0.21 -1 -0.75 -0.32 -1.1 -0.053 -0.49 -0.38 1.2 8.2e+03 0.00092 0.012 0.52 +
49 -0.96 0.98 0.45 0.46 -1.2 -0.21 -1 -0.75 -0.32 -1.1 -0.053 -0.49 -0.38 1.1 8.2e+03 0.00037 0.012 0.75 +
50 -0.97 0.99 0.47 0.47 -1.2 -0.21 -1 -0.76 -0.32 -1.1 -0.054 -0.49 -0.38 1.2 8.2e+03 0.00024 0.012 0.66 +
51 -0.98 1 0.46 0.48 -1.2 -0.21 -1 -0.75 -0.32 -1.1 -0.052 -0.48 -0.38 1.1 8.2e+03 0.0002 0.012 0.9 +
52 -0.99 1 0.47 0.49 -1.2 -0.2 -1 -0.76 -0.32 -1.1 -0.054 -0.48 -0.38 1.1 8.2e+03 0.00034 0.012 0.78 +
53 -1 1 0.48 0.5 -1.2 -0.2 -1 -0.75 -0.32 -1.1 -0.051 -0.47 -0.38 1.1 8.2e+03 0.00022 0.12 0.93 ++
54 -1 1 0.48 0.5 -1.2 -0.2 -1 -0.75 -0.32 -1.1 -0.051 -0.47 -0.38 1.1 8.2e+03 0.00022 0.061 -6.1 -
55 -1 1 0.48 0.5 -1.2 -0.2 -1 -0.75 -0.32 -1.1 -0.051 -0.47 -0.38 1.1 8.2e+03 0.00022 0.031 -0.11 -
56 -1 1 0.49 0.52 -1.2 -0.2 -1 -0.76 -0.32 -1.1 -0.054 -0.46 -0.38 1.1 8.2e+03 0.00039 0.031 0.61 +
57 -1 1 0.49 0.52 -1.2 -0.2 -1 -0.76 -0.32 -1.1 -0.054 -0.46 -0.38 1.1 8.2e+03 0.00039 0.015 -3.6 -
58 -1 1 0.49 0.52 -1.2 -0.2 -1 -0.76 -0.32 -1.1 -0.054 -0.46 -0.38 1.1 8.2e+03 0.00039 0.0076 -0.1 -
59 -1 1 0.49 0.52 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.046 -0.46 -0.37 1.1 8.2e+03 0.00017 0.0076 0.73 +
60 -1 1 0.49 0.52 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.054 -0.45 -0.37 1.1 8.2e+03 0.00018 0.0076 0.21 +
61 -1 1 0.49 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 0.0003 0.0076 0.22 +
62 -1 1 0.49 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 0.0003 0.0038 -1.6 -
63 -1 1 0.5 0.53 -1.2 -0.19 -1 -0.75 -0.31 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 0.00023 0.0038 0.31 +
64 -1.1 1 0.49 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.051 -0.45 -0.37 1.1 8.2e+03 0.00012 0.0038 0.44 +
65 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.75 -0.32 -1.1 -0.047 -0.45 -0.37 1.1 8.2e+03 0.0003 0.0038 0.11 +
66 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.75 -0.32 -1.1 -0.047 -0.45 -0.37 1.1 8.2e+03 0.0003 0.0019 -0.48 -
67 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 2e-05 0.019 0.92 ++
68 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 2e-05 0.0095 -1.9 -
69 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 2e-05 0.0048 0.066 -
70 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 2e-05 0.0024 -0.29 -
71 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 8.1e-05 0.0024 0.12 +
72 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.75 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 7.9e-05 0.0024 0.59 +
73 -1.1 1 0.5 0.53 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 5.9e-05 0.0024 0.33 +
74 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.45 -0.37 1.1 8.2e+03 5.2e-05 0.0024 0.67 +
75 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 2.9e-05 0.0024 0.82 +
76 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 2.9e-05 0.0012 -1 -
77 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.048 -0.44 -0.37 1.1 8.2e+03 2.9e-05 0.0012 0.31 +
78 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.75 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 2.5e-05 0.0012 0.5 +
79 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.75 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 2.5e-05 0.0006 -0.97 -
80 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 1.9e-05 0.0006 0.67 +
81 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 1.4e-05 0.0006 0.47 +
82 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 1.4e-05 0.0003 -0.036 -
83 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 1.3e-05 0.0003 0.6 +
84 -1.1 1 0.5 0.54 -1.2 -0.19 -1 -0.76 -0.32 -1.1 -0.049 -0.44 -0.37 1.1 8.2e+03 4.2e-06 0.0003 0.86 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000045
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train square_tt_coef cube_tt_coef b_cost_train b_time_swissmet b_cost_swissmet asc_car b_time_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.91 -
1 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.17 -
2 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.25 0.44 +
3 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.12 0.44 -
4 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.062 0.44 -
5 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.031 -3.2 -
6 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.016 -2.5 -
7 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.0078 -2.1 -
8 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.0039 -1.8 -
9 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.002 -1.3 -
10 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.00098 -0.59 -
11 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 2.7 0.00049 -0.07 -
12 -0.25 -0.25 -0.00049 -0.00049 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.3 9.6e+03 1.6 0.00049 0.44 +
13 -0.25 -0.25 -0.00075 -0.0003 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.3 9.6e+03 0.29 0.0049 1 ++
14 -0.25 -0.25 -0.0034 -0.00033 -0.25 0.25 0.24 0.25 -0.25 -0.25 1.3 9.6e+03 0.43 0.049 0.98 ++
15 -0.25 -0.26 -0.03 0.00089 -0.26 0.21 0.2 0.27 -0.22 -0.23 1.3 9.4e+03 2.3 0.049 0.65 +
16 -0.25 -0.26 -0.03 0.00089 -0.26 0.21 0.2 0.27 -0.22 -0.23 1.3 9.4e+03 2.3 0.024 -0.43 -
17 -0.25 -0.26 -0.03 0.00089 -0.26 0.21 0.2 0.27 -0.22 -0.23 1.3 9.4e+03 2.3 0.012 -0.37 -
18 -0.25 -0.26 -0.03 0.00089 -0.26 0.21 0.2 0.27 -0.22 -0.23 1.3 9.4e+03 2.3 0.0061 -0.43 -
19 -0.25 -0.26 -0.03 0.00089 -0.26 0.21 0.2 0.27 -0.22 -0.23 1.3 9.4e+03 2.3 0.0031 -0.54 -
20 -0.25 -0.26 -0.03 0.00089 -0.26 0.21 0.2 0.27 -0.22 -0.23 1.3 9.4e+03 2.3 0.0015 -0.66 -
21 -0.25 -0.26 -0.031 -0.00063 -0.26 0.21 0.19 0.27 -0.21 -0.22 1.3 9.4e+03 2.8 0.0015 0.54 +
22 -0.25 -0.26 -0.031 0.00023 -0.26 0.21 0.19 0.27 -0.21 -0.22 1.3 9.4e+03 2 0.0015 0.43 +
23 -0.25 -0.26 -0.032 -0.00013 -0.26 0.21 0.19 0.27 -0.21 -0.22 1.3 9.4e+03 0.19 0.015 1.3 ++
24 -0.25 -0.27 -0.035 -0.00013 -0.27 0.2 0.18 0.28 -0.21 -0.22 1.3 9.4e+03 0.075 0.15 0.95 ++
25 -0.28 -0.34 -0.032 0.00012 -0.33 0.1 0.023 0.28 -0.19 -0.19 1.3 9.3e+03 1 0.15 0.9 +
26 -0.28 -0.42 0.061 -0.00073 -0.42 0.045 -0.056 0.17 -0.35 -0.28 1.3 9.1e+03 2.8 0.15 0.74 +
27 -0.25 -0.41 0.047 -0.0005 -0.47 -0.11 -0.19 0.14 -0.36 -0.28 1.3 9e+03 1.9 0.15 0.75 +
28 -0.29 -0.56 0.2 -0.0006 -0.61 -0.26 -0.27 0.091 -0.38 -0.3 1.3 8.9e+03 3.9 0.15 0.39 +
29 -0.22 -0.45 0.22 -0.00095 -0.64 -0.34 -0.29 -0.011 -0.54 -0.37 1.3 8.8e+03 5.4 0.15 0.23 +
30 -0.22 -0.45 0.22 -0.00095 -0.64 -0.34 -0.29 -0.011 -0.54 -0.37 1.3 8.8e+03 5.4 0.076 -0.79 -
31 -0.24 -0.49 0.2 -0.002 -0.67 -0.39 -0.34 0.016 -0.46 -0.33 1.3 8.8e+03 5.2 0.076 0.44 +
32 -0.24 -0.49 0.2 -0.002 -0.67 -0.39 -0.34 0.016 -0.46 -0.33 1.3 8.8e+03 5.2 0.038 0.053 -
33 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.038 0.66 +
34 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.019 -1.8 -
35 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.0095 -1.9 -
36 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.0048 -2.3 -
37 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.0024 -2.6 -
38 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.0012 -2.9 -
39 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.0006 -1.7 -
40 -0.25 -0.53 0.24 -0.0015 -0.7 -0.39 -0.33 -0.0059 -0.47 -0.34 1.3 8.7e+03 2.5 0.0003 -0.66 -
41 -0.25 -0.53 0.24 -0.0012 -0.7 -0.39 -0.33 -0.0062 -0.47 -0.34 1.3 8.7e+03 2.4 0.0003 0.68 +
42 -0.25 -0.53 0.24 -0.0012 -0.7 -0.39 -0.33 -0.0062 -0.47 -0.34 1.3 8.7e+03 2.4 0.00015 -0.31 -
43 -0.25 -0.53 0.24 -0.0012 -0.7 -0.39 -0.33 -0.0062 -0.47 -0.34 1.3 8.7e+03 2.4 7.5e-05 -0.39 -
44 -0.25 -0.53 0.24 -0.0013 -0.7 -0.39 -0.33 -0.0063 -0.47 -0.34 1.3 8.7e+03 1 7.5e-05 0.37 +
45 -0.25 -0.53 0.24 -0.0013 -0.7 -0.39 -0.33 -0.0063 -0.47 -0.34 1.3 8.7e+03 0.18 0.00075 1.1 ++
46 -0.25 -0.53 0.24 -0.0013 -0.7 -0.39 -0.33 -0.0067 -0.47 -0.34 1.3 8.7e+03 0.043 0.0075 0.99 ++
47 -0.25 -0.53 0.24 -0.0013 -0.71 -0.4 -0.33 -0.011 -0.47 -0.35 1.3 8.7e+03 1.4 0.0075 0.87 +
48 -0.24 -0.52 0.24 -0.0012 -0.71 -0.4 -0.34 -0.016 -0.47 -0.35 1.3 8.7e+03 0.045 0.075 1 ++
49 -0.22 -0.51 0.24 -0.0013 -0.78 -0.48 -0.38 -0.083 -0.5 -0.37 1.3 8.7e+03 0.6 0.075 0.85 +
50 -0.24 -0.57 0.26 -0.0014 -0.85 -0.51 -0.4 -0.12 -0.51 -0.38 1.3 8.6e+03 0.75 0.075 0.66 +
51 -0.23 -0.57 0.22 -0.0012 -0.92 -0.57 -0.46 -0.18 -0.5 -0.39 1.3 8.6e+03 1.1 0.075 0.58 +
52 -0.22 -0.55 0.21 -0.0011 -0.97 -0.57 -0.47 -0.25 -0.57 -0.44 1.3 8.6e+03 0.77 0.075 0.13 +
53 -0.25 -0.63 0.21 -0.0011 -1 -0.59 -0.49 -0.26 -0.54 -0.43 1.3 8.6e+03 0.56 0.075 0.62 +
54 -0.22 -0.63 0.14 -0.00085 -1.1 -0.64 -0.55 -0.33 -0.58 -0.45 1.3 8.5e+03 0.55 0.075 0.81 +
55 -0.23 -0.67 0.15 -0.00092 -1.2 -0.69 -0.58 -0.37 -0.6 -0.46 1.3 8.5e+03 0.69 0.075 0.87 +
56 -0.2 -0.67 0.12 -0.00077 -1.3 -0.75 -0.62 -0.44 -0.66 -0.49 1.3 8.5e+03 0.27 0.075 0.68 +
57 -0.2 -0.72 0.075 -0.0006 -1.3 -0.8 -0.67 -0.47 -0.66 -0.49 1.4 8.5e+03 1.1 0.075 0.59 +
58 -0.18 -0.75 0.052 -0.00048 -1.4 -0.85 -0.68 -0.54 -0.72 -0.53 1.4 8.5e+03 0.8 0.075 0.8 +
59 -0.18 -0.78 0.07 -0.00056 -1.5 -0.92 -0.73 -0.55 -0.73 -0.53 1.4 8.5e+03 0.46 0.075 0.79 +
60 -0.17 -0.83 -0.0048 -0.00026 -1.5 -0.95 -0.75 -0.6 -0.8 -0.56 1.4 8.5e+03 1.7 0.075 0.52 +
61 -0.14 -0.84 0.07 -0.00057 -1.5 -1 -0.77 -0.61 -0.83 -0.56 1.4 8.5e+03 1.4 0.075 0.15 +
62 -0.14 -0.84 0.07 -0.00057 -1.5 -1 -0.77 -0.61 -0.83 -0.56 1.4 8.5e+03 1.4 0.037 -0.61 -
63 -0.16 -0.87 0.032 -0.00036 -1.5 -1 -0.78 -0.6 -0.81 -0.55 1.4 8.4e+03 6.7 0.037 0.38 +
64 -0.16 -0.9 -0.0048 -0.0003 -1.6 -1 -0.77 -0.62 -0.84 -0.57 1.4 8.4e+03 3.7 0.037 0.55 +
65 -0.16 -0.9 -0.0048 -0.0003 -1.6 -1 -0.77 -0.62 -0.84 -0.57 1.4 8.4e+03 3.7 0.019 -0.54 -
66 -0.15 -0.9 0.014 -0.00033 -1.6 -1 -0.76 -0.62 -0.85 -0.57 1.4 8.4e+03 0.3 0.019 0.27 +
67 -0.15 -0.91 0.0045 -0.00028 -1.6 -1 -0.77 -0.62 -0.85 -0.57 1.4 8.4e+03 2.1 0.019 0.89 +
68 -0.15 -0.91 0.0045 -0.00028 -1.6 -1 -0.77 -0.62 -0.85 -0.57 1.4 8.4e+03 2.1 0.0093 -0.33 -
69 -0.15 -0.91 0.0045 -0.00028 -1.6 -1 -0.77 -0.62 -0.85 -0.57 1.4 8.4e+03 2.1 0.0047 0.081 -
70 -0.15 -0.91 0.007 -0.00033 -1.6 -1 -0.77 -0.62 -0.85 -0.57 1.4 8.4e+03 2.9 0.0047 0.16 +
71 -0.15 -0.91 0.0078 -0.00031 -1.6 -1.1 -0.78 -0.62 -0.86 -0.57 1.4 8.4e+03 0.48 0.047 1.1 ++
72 -0.12 -0.95 -0.008 -0.00023 -1.6 -1.1 -0.79 -0.62 -0.9 -0.58 1.4 8.4e+03 1 0.47 0.94 ++
73 -0.12 -0.95 -0.008 -0.00023 -1.6 -1.1 -0.79 -0.62 -0.9 -0.58 1.4 8.4e+03 1 0.23 -5 -
74 -0.12 -0.95 -0.008 -0.00023 -1.6 -1.1 -0.79 -0.62 -0.9 -0.58 1.4 8.4e+03 1 0.12 -2.3 -
75 -0.12 -0.95 -0.008 -0.00023 -1.6 -1.1 -0.79 -0.62 -0.9 -0.58 1.4 8.4e+03 1 0.058 -0.46 -
76 -0.1 -1 0.01 -0.00031 -1.6 -1.2 -0.8 -0.63 -0.95 -0.59 1.4 8.4e+03 0.57 0.058 0.2 +
77 -0.092 -1 -0.012 -0.00023 -1.6 -1.2 -0.82 -0.62 -0.97 -0.58 1.4 8.4e+03 2.4 0.058 0.57 +
78 -0.092 -1 -0.012 -0.00023 -1.6 -1.2 -0.82 -0.62 -0.97 -0.58 1.4 8.4e+03 2.4 0.029 -1 -
79 -0.088 -1.1 -0.031 -0.00013 -1.6 -1.2 -0.8 -0.63 -0.99 -0.59 1.4 8.4e+03 1.5 0.029 0.63 +
80 -0.085 -1.1 -0.036 -0.00011 -1.6 -1.2 -0.81 -0.62 -1 -0.59 1.4 8.4e+03 0.22 0.029 0.83 +
81 -0.07 -1.1 -0.023 -0.00018 -1.6 -1.3 -0.81 -0.63 -1 -0.6 1.4 8.4e+03 1.3 0.029 0.59 +
82 -0.076 -1.1 -0.042 -8.9e-05 -1.6 -1.3 -0.81 -0.63 -1 -0.6 1.4 8.4e+03 0.84 0.29 1.1 ++
83 -0.076 -1.1 -0.042 -8.9e-05 -1.6 -1.3 -0.81 -0.63 -1 -0.6 1.4 8.4e+03 0.84 0.15 -2.1 -
84 -0.076 -1.1 -0.042 -8.9e-05 -1.6 -1.3 -0.81 -0.63 -1 -0.6 1.4 8.4e+03 0.84 0.073 -0.33 -
85 -0.032 -1.2 -0.047 -6.7e-05 -1.6 -1.3 -0.82 -0.64 -1.1 -0.61 1.4 8.4e+03 0.49 0.073 0.55 +
86 -0.028 -1.2 -0.054 -3.7e-05 -1.6 -1.4 -0.83 -0.62 -1.1 -0.6 1.4 8.4e+03 0.11 0.073 0.74 +
87 -0.028 -1.2 -0.054 -3.7e-05 -1.6 -1.4 -0.83 -0.62 -1.1 -0.6 1.4 8.4e+03 0.11 0.036 -2.3 -
88 -0.028 -1.3 -0.082 7.3e-05 -1.6 -1.4 -0.81 -0.63 -1.2 -0.61 1.4 8.4e+03 4.1 0.036 0.15 +
89 -0.0066 -1.3 -0.053 -2.6e-05 -1.6 -1.4 -0.81 -0.64 -1.2 -0.62 1.4 8.4e+03 5.9 0.036 0.21 +
90 -5.5e-06 -1.3 -0.058 -2.2e-05 -1.6 -1.5 -0.83 -0.62 -1.2 -0.61 1.4 8.4e+03 0.19 0.036 0.8 +
91 -0.003 -1.4 -0.074 6e-05 -1.7 -1.5 -0.82 -0.62 -1.2 -0.61 1.4 8.4e+03 3.9 0.36 0.94 ++
92 -0.003 -1.4 -0.074 6e-05 -1.7 -1.5 -0.82 -0.62 -1.2 -0.61 1.4 8.4e+03 3.9 0.18 -1.1 -
93 0.086 -1.5 -0.074 7.7e-05 -1.7 -1.7 -0.84 -0.62 -1.3 -0.63 1.3 8.4e+03 11 0.18 0.31 +
94 0.086 -1.5 -0.074 7.7e-05 -1.7 -1.7 -0.84 -0.62 -1.3 -0.63 1.3 8.4e+03 11 0.091 0.018 -
95 0.076 -1.6 -0.1 0.00016 -1.7 -1.7 -0.79 -0.62 -1.4 -0.65 1.3 8.4e+03 11 0.091 0.43 +
96 0.04 -1.6 -0.074 4.2e-05 -1.7 -1.8 -0.78 -0.59 -1.4 -0.61 1.2 8.4e+03 3.5 0.091 0.69 +
97 0.04 -1.6 -0.074 4.2e-05 -1.7 -1.8 -0.78 -0.59 -1.4 -0.61 1.2 8.4e+03 3.5 0.045 -0.13 -
98 0.04 -1.6 -0.074 4.2e-05 -1.7 -1.8 -0.78 -0.59 -1.4 -0.61 1.2 8.4e+03 3.5 0.023 -0.23 -
99 0.04 -1.6 -0.074 4.2e-05 -1.7 -1.8 -0.78 -0.59 -1.4 -0.61 1.2 8.4e+03 3.5 0.011 -0.48 -
100 0.04 -1.6 -0.074 4.2e-05 -1.7 -1.8 -0.78 -0.59 -1.4 -0.61 1.2 8.4e+03 3.5 0.0057 -0.0047 -
101 0.039 -1.6 -0.08 9.2e-05 -1.7 -1.8 -0.78 -0.58 -1.4 -0.61 1.2 8.4e+03 7.9 0.0057 0.41 +
102 0.038 -1.6 -0.084 9.2e-05 -1.7 -1.8 -0.78 -0.58 -1.4 -0.6 1.2 8.4e+03 0.18 0.057 1.1 ++
103 0.037 -1.7 -0.088 0.00011 -1.7 -1.8 -0.8 -0.58 -1.4 -0.61 1.2 8.4e+03 1.4 0.57 0.91 ++
104 0.17 -2 -0.081 7.8e-05 -1.8 -2 -0.89 -0.57 -1.6 -0.64 1 8.4e+03 1.3 0.57 0.12 +
105 0.17 -2 -0.081 7.8e-05 -1.8 -2 -0.89 -0.57 -1.6 -0.64 1 8.4e+03 1.3 0.16 -0.043 -
106 0.19 -2 -0.099 0.00016 -1.8 -2.1 -0.73 -0.53 -1.6 -0.62 1 8.3e+03 3.1 0.16 0.66 +
107 0.16 -2.1 -0.11 0.00022 -1.8 -2 -0.76 -0.55 -1.6 -0.64 1 8.3e+03 3.9 0.16 0.39 +
108 0.25 -2.2 -0.099 0.00018 -1.9 -2.2 -0.81 -0.54 -1.7 -0.67 1 8.3e+03 8.4 0.16 0.68 +
109 0.3 -2.4 -0.11 0.00023 -1.9 -2.4 -0.77 -0.52 -1.8 -0.66 1 8.3e+03 5.3 0.16 0.32 +
110 0.38 -2.5 -0.11 0.00024 -1.8 -2.4 -0.83 -0.57 -1.9 -0.63 1 8.3e+03 6 0.16 0.38 +
111 0.38 -2.5 -0.11 0.00024 -1.8 -2.4 -0.83 -0.57 -1.9 -0.63 1 8.3e+03 6 0.079 -1.3 -
112 0.38 -2.5 -0.11 0.00024 -1.8 -2.4 -0.83 -0.57 -1.9 -0.63 1 8.3e+03 6 0.039 -0.29 -
113 0.38 -2.5 -0.11 0.00019 -1.9 -2.4 -0.79 -0.55 -1.9 -0.63 1 8.3e+03 1 0.039 0.4 +
114 0.41 -2.5 -0.11 0.00023 -1.9 -2.4 -0.78 -0.51 -1.9 -0.65 1 8.3e+03 0.55 0.039 0.31 +
115 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.82 -0.5 -1.9 -0.69 1 8.3e+03 1.3 0.039 0.3 +
116 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.79 -0.53 -1.9 -0.65 1 8.3e+03 0.12 0.039 0.73 +
117 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.79 -0.53 -1.9 -0.65 1 8.3e+03 0.12 0.02 -2.9 -
118 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.79 -0.53 -1.9 -0.65 1 8.3e+03 0.12 0.0099 -0.36 -
119 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.032 0.0099 0.41 +
120 0.39 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.2 0.0099 0.35 +
121 0.39 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.2 0.0049 -0.088 -
122 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.1 0.0049 0.74 +
123 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.049 0.0049 0.7 +
124 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.049 0.0025 -2.1 -
125 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.049 0.0012 -0.12 -
126 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.13 0.0012 0.47 +
127 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.13 0.00062 -0.15 -
128 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.055 0.00062 0.58 +
129 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0047 0.0062 0.9 ++
130 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0047 0.0031 -2.7 -
131 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0047 0.0015 -0.78 -
132 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0047 0.00077 -0.27 -
133 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0047 0.00039 -0.21 -
134 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0059 0.00039 0.61 +
135 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.014 0.00039 0.78 +
136 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.013 0.00039 0.59 +
137 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.011 0.00039 0.75 +
138 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0074 0.00039 0.72 +
139 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0074 0.00019 -1.5 -
140 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0074 9.6e-05 -0.34 -
141 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0074 4.8e-05 0.042 -
142 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0074 2.4e-05 0.093 -
143 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0074 1.2e-05 0.029 -
144 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0074 6e-06 0.066 -
145 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.011 6e-06 0.11 +
146 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.00046 6e-05 0.98 ++
147 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.00069 6e-05 0.72 +
148 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.00062 6e-05 0.3 +
149 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 2.6e-05 6e-05 0.85 +
150 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0026 6e-05 0.52 +
151 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.0026 3e-05 -0.3 -
152 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.00013 3e-05 0.77 +
153 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.00013 1.5e-05 -1.9 -
154 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.00013 7.5e-06 -0.17 -
155 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 0.00048 7.5e-06 0.45 +
156 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 8.3e-05 7.5e-06 0.81 +
157 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 8.3e-05 3.5e-06 -0.24 -
158 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 6.2e-06 3.5e-06 0.53 +
159 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 6.2e-06 1.8e-06 -3.3 -
160 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 6.2e-06 8.8e-07 -0.51 -
161 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 4.1e-05 8.8e-07 0.81 +
162 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 4.9e-05 8.8e-07 0.15 +
163 0.4 -2.5 -0.11 0.00022 -1.9 -2.4 -0.8 -0.53 -1.9 -0.65 1 8.3e+03 3.7e-07 8.8e-07 0.26 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000046
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train lambda_travel_t b_cost_train b_time_swissmet b_cost_swissmet asc_car b_time_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 1 0 0 0 0 0 0 1 1.1e+04 0.22 0.5 -0.4 -
1 -0.5 -0.5 1 -0.5 -0.5 0.5 0.5 -0.5 -0.5 1.5 9.8e+03 0.21 0.5 0.25 +
2 -0.3 -0.46 0.98 -0.4 -0.54 0 0.55 -0.41 -0.4 1.3 9.2e+03 0.08 0.5 0.72 +
3 -0.26 -0.68 0.99 -0.56 -0.74 -0.049 0.049 -0.53 -0.75 1.2 9e+03 0.095 0.5 0.22 +
4 -0.26 -0.68 0.99 -0.56 -0.74 -0.049 0.049 -0.53 -0.75 1.2 9e+03 0.095 0.25 -0.21 -
5 -0.44 -0.9 1 -0.79 -0.85 -0.3 0.15 -0.44 -0.6 1.4 8.7e+03 0.046 0.25 0.53 +
6 -0.44 -0.9 1 -0.79 -0.85 -0.3 0.15 -0.44 -0.6 1.4 8.7e+03 0.046 0.12 0.022 -
7 -0.31 -0.86 0.98 -0.75 -0.85 -0.34 0.022 -0.51 -0.7 1.2 8.6e+03 0.025 0.12 0.8 +
8 -0.32 -0.95 0.96 -0.87 -0.9 -0.45 0.034 -0.51 -0.66 1.3 8.6e+03 0.027 0.12 0.7 +
9 -0.27 -1 0.93 -1 -0.96 -0.43 -0.091 -0.6 -0.75 1.3 8.6e+03 0.052 0.12 0.4 +
10 -0.2 -1 0.9 -1 -0.98 -0.55 -0.079 -0.61 -0.71 1.3 8.5e+03 0.021 0.12 0.65 +
11 -0.21 -1.1 0.87 -1.1 -1 -0.55 -0.098 -0.65 -0.71 1.3 8.5e+03 0.019 0.12 0.67 +
12 -0.081 -1.1 0.81 -1.2 -1.1 -0.6 -0.18 -0.73 -0.76 1.3 8.5e+03 0.02 0.12 0.49 +
13 -0.081 -1.1 0.81 -1.2 -1.1 -0.6 -0.18 -0.73 -0.76 1.3 8.5e+03 0.02 0.062 -0.098 -
14 -0.098 -1.1 0.79 -1.3 -1.1 -0.66 -0.13 -0.73 -0.7 1.3 8.5e+03 0.018 0.062 0.49 +
15 -0.084 -1.2 0.77 -1.3 -1.1 -0.61 -0.18 -0.79 -0.74 1.3 8.5e+03 0.034 0.062 0.14 +
16 -0.05 -1.2 0.75 -1.3 -1.1 -0.67 -0.16 -0.78 -0.72 1.3 8.4e+03 0.0083 0.62 0.91 ++
17 -0.05 -1.2 0.75 -1.3 -1.1 -0.67 -0.16 -0.78 -0.72 1.3 8.4e+03 0.0083 0.31 -1.3 -
18 -0.05 -1.2 0.75 -1.3 -1.1 -0.67 -0.16 -0.78 -0.72 1.3 8.4e+03 0.0083 0.16 -0.26 -
19 0.1 -1.3 0.63 -1.5 -1.2 -0.7 -0.24 -0.94 -0.77 1.3 8.4e+03 0.023 0.16 0.31 +
20 0.1 -1.4 0.55 -1.6 -1.3 -0.76 -0.2 -1 -0.71 1.4 8.4e+03 0.022 0.16 0.42 +
21 0.1 -1.4 0.55 -1.6 -1.3 -0.76 -0.2 -1 -0.71 1.4 8.4e+03 0.022 0.078 -1.8 -
22 0.18 -1.4 0.54 -1.6 -1.3 -0.8 -0.22 -1 -0.72 1.3 8.4e+03 0.014 0.078 0.47 +
23 0.19 -1.5 0.51 -1.6 -1.3 -0.75 -0.23 -1.1 -0.74 1.3 8.4e+03 0.019 0.078 0.35 +
24 0.19 -1.5 0.47 -1.7 -1.4 -0.79 -0.18 -1.1 -0.7 1.3 8.4e+03 0.0088 0.078 0.58 +
25 0.24 -1.6 0.4 -1.7 -1.4 -0.8 -0.18 -1.2 -0.71 1.2 8.4e+03 0.0084 0.078 0.81 +
26 0.24 -1.7 0.39 -1.7 -1.5 -0.79 -0.15 -1.2 -0.7 1.2 8.4e+03 0.0042 0.78 0.91 ++
27 0.31 -2 0.3 -1.8 -1.6 -0.78 -0.051 -1.4 -0.7 1 8.4e+03 0.013 0.78 0.55 +
28 0.28 -2.1 0.23 -1.8 -1.7 -0.77 -0.013 -1.4 -0.7 1 8.3e+03 0.0057 0.78 0.67 +
29 0.28 -2.1 0.23 -1.8 -1.7 -0.77 -0.013 -1.4 -0.7 1 8.3e+03 0.0057 0.39 -12 -
30 0.28 -2.1 0.23 -1.8 -1.7 -0.77 -0.013 -1.4 -0.7 1 8.3e+03 0.0057 0.2 -5.5 -
31 0.28 -2.1 0.23 -1.8 -1.7 -0.77 -0.013 -1.4 -0.7 1 8.3e+03 0.0057 0.098 -2.4 -
32 0.28 -2.1 0.23 -1.8 -1.7 -0.77 -0.013 -1.4 -0.7 1 8.3e+03 0.0057 0.049 -0.4 -
33 0.3 -2.1 0.27 -1.8 -1.6 -0.76 0.0057 -1.4 -0.72 1 8.3e+03 0.0029 0.049 0.53 +
34 0.32 -2.2 0.22 -1.8 -1.7 -0.77 0.0072 -1.4 -0.74 1 8.3e+03 0.0029 0.049 0.78 +
35 0.32 -2.2 0.22 -1.8 -1.7 -0.77 0.0072 -1.4 -0.74 1 8.3e+03 0.0029 0.024 -0.92 -
36 0.32 -2.2 0.22 -1.8 -1.7 -0.77 0.0072 -1.4 -0.74 1 8.3e+03 0.0029 0.012 0.03 -
37 0.32 -2.2 0.22 -1.8 -1.7 -0.77 0.0072 -1.4 -0.74 1 8.3e+03 0.0029 0.0061 -0.28 -
38 0.32 -2.2 0.23 -1.9 -1.7 -0.78 0.013 -1.4 -0.74 1 8.3e+03 0.0023 0.0061 0.55 +
39 0.33 -2.2 0.23 -1.9 -1.7 -0.77 0.015 -1.4 -0.74 1 8.3e+03 0.0018 0.061 0.96 ++
40 0.36 -2.2 0.21 -1.9 -1.7 -0.77 0.058 -1.4 -0.76 1 8.3e+03 0.0025 0.061 0.71 +
41 0.38 -2.3 0.16 -1.9 -1.7 -0.77 0.082 -1.4 -0.79 1 8.3e+03 0.0031 0.061 0.26 +
42 0.38 -2.3 0.16 -1.9 -1.7 -0.77 0.082 -1.4 -0.79 1 8.3e+03 0.0031 0.031 -4 -
43 0.38 -2.3 0.16 -1.9 -1.7 -0.77 0.082 -1.4 -0.79 1 8.3e+03 0.0031 0.015 -0.56 -
44 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.087 -1.5 -0.79 1 8.3e+03 0.0015 0.015 0.88 +
45 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.087 -1.5 -0.79 1 8.3e+03 0.0015 0.0076 -0.037 -
46 0.39 -2.3 0.18 -1.9 -1.7 -0.77 0.086 -1.5 -0.8 1 8.3e+03 0.00037 0.0076 0.72 +
47 0.39 -2.3 0.18 -1.9 -1.7 -0.77 0.086 -1.5 -0.8 1 8.3e+03 0.00037 0.0038 -2.6 -
48 0.39 -2.3 0.18 -1.9 -1.7 -0.77 0.086 -1.5 -0.8 1 8.3e+03 0.00037 0.0019 -0.84 -
49 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.084 -1.5 -0.8 1 8.3e+03 0.0004 0.0019 0.37 +
50 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.085 -1.5 -0.8 1 8.3e+03 0.00024 0.0019 0.72 +
51 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.085 -1.5 -0.8 1 8.3e+03 0.00031 0.0019 0.79 +
52 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.086 -1.5 -0.8 1 8.3e+03 0.00017 0.019 0.91 ++
53 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.086 -1.5 -0.8 1 8.3e+03 0.00017 0.0095 -0.002 -
54 0.39 -2.3 0.16 -1.9 -1.7 -0.77 0.087 -1.5 -0.8 1 8.3e+03 0.00028 0.0095 0.59 +
55 0.39 -2.3 0.16 -1.9 -1.7 -0.77 0.087 -1.5 -0.8 1 8.3e+03 0.00028 0.0048 -1.5 -
56 0.39 -2.3 0.16 -1.9 -1.7 -0.77 0.087 -1.5 -0.8 1 8.3e+03 0.00028 0.0024 -1.3 -
57 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.089 -1.5 -0.8 1 8.3e+03 0.00021 0.0024 0.35 +
58 0.39 -2.3 0.17 -1.9 -1.7 -0.77 0.089 -1.5 -0.8 1 8.3e+03 6.6e-05 0.0024 0.88 +
59 0.4 -2.3 0.17 -1.9 -1.7 -0.77 0.09 -1.5 -0.8 1 8.3e+03 0.00012 0.0024 0.2 +
60 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.092 -1.5 -0.8 1 8.3e+03 7.2e-05 0.0024 0.59 +
61 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.092 -1.5 -0.8 1 8.3e+03 7.2e-05 0.0012 -1.1 -
62 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 3.2e-05 0.0012 0.49 +
63 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 3.2e-05 0.0006 -2.2 -
64 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 3.2e-05 0.0003 -0.13 -
65 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 3.6e-05 0.0003 0.45 +
66 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 3.6e-05 0.00015 -0.44 -
67 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 9.4e-06 0.00015 0.7 +
68 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 9.4e-06 7.5e-05 -0.27 -
69 0.4 -2.3 0.16 -1.9 -1.7 -0.77 0.091 -1.5 -0.8 1 8.3e+03 4.8e-06 7.5e-05 0.57 -
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000047
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.31 0.5 -0.7 -
1 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.31 0.25 -0.28 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 0.2 0.25 0.16 +
3 -0.0084 0 -0.24 -0.5 -0.15 0.37 0 0 -0.26 0 1.9 9.3e+03 0.13 0.25 0.49 +
4 -0.16 0.00045 -0.24 -0.69 -0.38 0.12 0.13 -0.015 -0.27 0.12 1.9 8.8e+03 0.048 0.25 0.76 +
5 -0.078 0.16 -0.23 -0.79 -0.42 -0.13 -0.0036 -0.18 -0.28 -0.0063 1.9 8.6e+03 0.075 0.25 0.52 +
6 -0.24 0.14 -0.22 -0.98 -0.67 -0.32 0.037 -0.2 -0.29 0.01 2 8.5e+03 0.057 0.25 0.48 +
7 -0.24 0.14 -0.22 -0.98 -0.67 -0.32 0.037 -0.2 -0.29 0.01 2 8.5e+03 0.057 0.12 -0.6 -
8 -0.21 0.19 -0.21 -1.1 -0.72 -0.31 -0.087 -0.26 -0.3 -0.11 2 8.4e+03 0.055 0.12 0.32 +
9 -0.2 0.22 -0.2 -1 -0.75 -0.44 -0.056 -0.23 -0.31 -0.085 2 8.4e+03 0.014 0.12 0.66 +
10 -0.26 0.2 -0.18 -1.1 -0.87 -0.44 -0.096 -0.18 -0.33 -0.14 2 8.4e+03 0.024 0.12 0.16 +
11 -0.26 0.2 -0.18 -1.1 -0.87 -0.44 -0.096 -0.18 -0.33 -0.14 2 8.4e+03 0.024 0.062 -1.2 -
12 -0.19 0.26 -0.17 -1 -0.86 -0.49 -0.15 -0.2 -0.34 -0.19 2 8.4e+03 0.028 0.062 0.13 +
13 -0.23 0.25 -0.16 -1 -0.9 -0.55 -0.1 -0.15 -0.34 -0.15 2 8.4e+03 0.031 0.062 0.11 +
14 -0.26 0.24 -0.15 -1.1 -0.95 -0.49 -0.15 -0.15 -0.35 -0.2 2 8.4e+03 0.023 0.062 0.34 +
15 -0.22 0.28 -0.14 -1 -0.93 -0.55 -0.16 -0.15 -0.36 -0.2 2 8.4e+03 0.012 0.062 0.43 +
16 -0.22 0.28 -0.14 -1 -0.93 -0.55 -0.16 -0.15 -0.36 -0.2 2 8.4e+03 0.012 0.031 -0.083 -
17 -0.25 0.27 -0.14 -1 -0.97 -0.54 -0.15 -0.13 -0.36 -0.21 2 8.3e+03 0.009 0.031 0.68 +
18 -0.25 0.27 -0.14 -1 -0.97 -0.54 -0.15 -0.13 -0.36 -0.21 2 8.3e+03 0.009 0.016 -0.31 -
19 -0.24 0.29 -0.13 -1 -0.96 -0.54 -0.17 -0.14 -0.37 -0.22 2 8.3e+03 0.0064 0.016 0.36 +
20 -0.25 0.29 -0.13 -1 -0.98 -0.55 -0.17 -0.13 -0.37 -0.22 2 8.3e+03 0.0036 0.16 0.94 ++
21 -0.25 0.29 -0.13 -1 -0.98 -0.55 -0.17 -0.13 -0.37 -0.22 2 8.3e+03 0.0036 0.078 -0.035 -
22 -0.29 0.33 -0.075 -1.1 -1.1 -0.57 -0.22 -0.085 -0.41 -0.28 1.9 8.3e+03 0.014 0.078 0.43 +
23 -0.29 0.33 -0.075 -1.1 -1.1 -0.57 -0.22 -0.085 -0.41 -0.28 1.9 8.3e+03 0.014 0.039 -0.3 -
24 -0.29 0.35 -0.066 -1 -1.1 -0.61 -0.22 -0.074 -0.41 -0.27 1.9 8.3e+03 0.008 0.039 0.45 +
25 -0.33 0.36 -0.039 -1.1 -1.1 -0.6 -0.22 -0.066 -0.43 -0.27 1.9 8.3e+03 0.0065 0.039 0.63 +
26 -0.34 0.39 -0.01 -1.1 -1.1 -0.61 -0.24 -0.066 -0.44 -0.28 1.9 8.3e+03 0.0037 0.039 0.71 +
27 -0.36 0.41 0.022 -1.1 -1.1 -0.62 -0.25 -0.055 -0.46 -0.28 1.8 8.3e+03 0.0018 0.039 0.85 +
28 -0.39 0.42 0.061 -1.1 -1.1 -0.62 -0.26 -0.051 -0.48 -0.28 1.8 8.3e+03 0.006 0.039 0.54 +
29 -0.39 0.46 0.096 -1.1 -1.1 -0.64 -0.27 -0.052 -0.49 -0.29 1.7 8.3e+03 0.0037 0.039 0.63 +
30 -0.41 0.47 0.14 -1.1 -1.2 -0.64 -0.27 -0.05 -0.5 -0.29 1.7 8.3e+03 0.0018 0.039 0.86 +
31 -0.41 0.47 0.17 -1.1 -1.2 -0.65 -0.27 -0.041 -0.51 -0.3 1.7 8.3e+03 0.0021 0.039 0.58 +
32 -0.43 0.49 0.21 -1.1 -1.2 -0.65 -0.27 -0.05 -0.51 -0.29 1.7 8.3e+03 0.0015 0.039 0.82 +
33 -0.44 0.5 0.25 -1.1 -1.2 -0.67 -0.28 -0.042 -0.5 -0.3 1.7 8.3e+03 0.00097 0.039 0.26 +
34 -0.44 0.5 0.25 -1.1 -1.2 -0.67 -0.28 -0.042 -0.5 -0.3 1.7 8.3e+03 0.00097 0.02 -2.9 -
35 -0.43 0.5 0.26 -1.1 -1.2 -0.66 -0.27 -0.039 -0.5 -0.29 1.7 8.3e+03 0.0016 0.02 0.27 +
36 -0.43 0.5 0.26 -1.1 -1.2 -0.66 -0.27 -0.039 -0.5 -0.29 1.7 8.3e+03 0.0016 0.0098 -1.7 -
37 -0.43 0.5 0.26 -1.1 -1.2 -0.66 -0.27 -0.039 -0.5 -0.29 1.7 8.3e+03 0.0016 0.0049 -0.65 -
38 -0.44 0.5 0.26 -1.1 -1.2 -0.65 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.0023 0.0049 0.14 +
39 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00026 0.049 0.97 ++
40 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00026 0.024 -4.5 -
41 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00026 0.012 -2.9 -
42 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00026 0.0061 -2.4 -
43 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00026 0.0031 -1 -
44 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00026 0.0015 -0.35 -
45 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00026 0.00076 -0.11 -
46 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00039 0.00076 0.55 +
47 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.041 -0.5 -0.3 1.7 8.3e+03 0.00031 0.00076 0.87 +
48 -0.44 0.5 0.26 -1.1 -1.2 -0.66 -0.28 -0.042 -0.5 -0.3 1.7 8.3e+03 0.00023 0.0076 0.98 ++
49 -0.44 0.5 0.27 -1.1 -1.2 -0.66 -0.28 -0.043 -0.5 -0.3 1.7 8.3e+03 0.00042 0.0076 0.78 +
50 -0.44 0.51 0.28 -1.1 -1.2 -0.66 -0.28 -0.041 -0.49 -0.3 1.6 8.3e+03 0.0002 0.0076 0.78 +
51 -0.45 0.51 0.29 -1.1 -1.2 -0.66 -0.28 -0.043 -0.49 -0.3 1.6 8.3e+03 0.0002 0.0076 0.9 +
52 -0.45 0.51 0.29 -1.1 -1.2 -0.66 -0.28 -0.04 -0.49 -0.3 1.6 8.3e+03 0.00024 0.0076 0.76 +
53 -0.45 0.51 0.3 -1.1 -1.2 -0.67 -0.28 -0.041 -0.48 -0.3 1.6 8.3e+03 0.00029 0.0076 0.7 +
54 -0.45 0.51 0.31 -1.1 -1.2 -0.66 -0.28 -0.04 -0.48 -0.3 1.6 8.3e+03 0.00025 0.0076 0.77 +
55 -0.45 0.51 0.31 -1.1 -1.2 -0.66 -0.28 -0.04 -0.48 -0.3 1.6 8.3e+03 0.00025 0.0038 -0.07 -
56 -0.45 0.51 0.31 -1.1 -1.2 -0.66 -0.28 -0.038 -0.47 -0.3 1.6 8.3e+03 0.00017 0.0038 0.45 +
57 -0.45 0.51 0.32 -1.1 -1.2 -0.67 -0.28 -0.042 -0.47 -0.3 1.6 8.3e+03 0.00023 0.0038 0.39 +
58 -0.45 0.51 0.32 -1.1 -1.2 -0.66 -0.28 -0.038 -0.47 -0.3 1.6 8.3e+03 0.00016 0.0038 0.36 +
59 -0.45 0.51 0.32 -1.1 -1.2 -0.67 -0.28 -0.039 -0.46 -0.3 1.6 8.3e+03 0.0002 0.0038 0.28 +
60 -0.45 0.51 0.32 -1.1 -1.2 -0.67 -0.28 -0.039 -0.46 -0.3 1.6 8.3e+03 0.0002 0.0019 -0.25 -
61 -0.45 0.51 0.32 -1.1 -1.2 -0.66 -0.28 -0.04 -0.46 -0.3 1.6 8.3e+03 0.00012 0.0019 0.82 +
62 -0.45 0.52 0.32 -1.1 -1.2 -0.66 -0.28 -0.04 -0.46 -0.3 1.6 8.3e+03 9.5e-05 0.0019 0.78 +
63 -0.45 0.52 0.33 -1.1 -1.2 -0.66 -0.28 -0.039 -0.46 -0.3 1.6 8.3e+03 0.00011 0.0019 0.71 +
64 -0.45 0.52 0.33 -1.1 -1.2 -0.66 -0.28 -0.04 -0.46 -0.3 1.6 8.3e+03 6.6e-05 0.0019 0.81 +
65 -0.45 0.52 0.33 -1.1 -1.2 -0.66 -0.28 -0.038 -0.45 -0.3 1.6 8.3e+03 7e-05 0.0019 0.73 +
66 -0.45 0.52 0.33 -1.1 -1.2 -0.66 -0.28 -0.039 -0.45 -0.3 1.6 8.3e+03 4.9e-05 0.0019 0.67 +
67 -0.45 0.52 0.33 -1.1 -1.2 -0.67 -0.28 -0.039 -0.45 -0.3 1.6 8.3e+03 6.8e-05 0.0019 0.79 +
68 -0.45 0.52 0.33 -1.1 -1.2 -0.66 -0.28 -0.038 -0.45 -0.3 1.6 8.3e+03 8.3e-05 0.0019 0.2 +
69 -0.45 0.52 0.33 -1.1 -1.2 -0.66 -0.28 -0.039 -0.45 -0.3 1.6 8.3e+03 4.9e-05 0.0019 0.86 +
70 -0.45 0.52 0.34 -1.1 -1.2 -0.67 -0.28 -0.038 -0.45 -0.3 1.6 8.3e+03 3.7e-05 0.0019 0.73 +
71 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 4e-05 0.0019 0.68 +
72 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 4e-05 0.00095 -3.2 -
73 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 4e-05 0.00048 -0.4 -
74 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 1e-05 0.00048 0.8 +
75 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.039 -0.44 -0.3 1.6 8.3e+03 8e-06 0.00048 0.61 +
76 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 8.9e-06 0.00048 0.64 +
77 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 8.9e-06 0.00024 -1 -
78 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 9.2e-06 0.00024 0.48 +
79 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 8.4e-06 0.00024 0.46 +
80 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 1.1e-05 0.00024 0.34 +
81 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 1.1e-05 0.00012 -0.14 -
82 -0.45 0.52 0.34 -1.1 -1.2 -0.66 -0.28 -0.038 -0.44 -0.3 1.6 8.3e+03 5.8e-06 0.00012 0.93 -
Considering neighbor 3/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 6 unknown parameters [max: 50]
*** Estimate b07everything_000048
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com b_cost asc_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.071 -
1 -0.5 -0.5 -0.5 -0.5 0.5 1.5 9.5e+03 0.15 0.5 0.51 +
2 -0.5 -1 -1 0 5.6e-17 1 9e+03 0.067 0.5 0.3 +
3 -0.5 -1 -1 0 5.6e-17 1 9e+03 0.067 0.25 -0.63 -
4 -0.5 -1 -1 0 5.6e-17 1 9e+03 0.067 0.12 -0.07 -
5 -0.63 -1.1 -0.88 -0.12 0.13 1.1 8.9e+03 0.057 0.12 0.51 +
6 -0.52 -1.1 -0.75 -0.25 0.15 1 8.8e+03 0.04 0.12 0.75 +
7 -0.54 -1.2 -0.68 -0.38 0.026 1.1 8.8e+03 0.034 0.12 0.69 +
8 -0.5 -1.1 -0.56 -0.5 0.082 1.1 8.7e+03 0.018 0.12 0.68 +
9 -0.5 -1.2 -0.43 -0.62 -0.037 1.1 8.7e+03 0.012 0.12 0.58 +
10 -0.55 -1.2 -0.39 -0.75 0.042 1.2 8.7e+03 0.014 0.12 0.2 +
11 -0.48 -1.2 -0.27 -0.85 -0.017 1.1 8.7e+03 0.012 0.12 0.46 +
12 -0.52 -1.2 -0.17 -0.73 -0.019 1.1 8.7e+03 0.0042 0.12 0.62 +
13 -0.54 -1.2 -0.047 -0.79 -0.027 1.1 8.7e+03 0.0023 0.12 0.45 +
14 -0.54 -1.2 -0.047 -0.79 -0.027 1.1 8.7e+03 0.0023 0.062 -4 -
15 -0.54 -1.2 -0.047 -0.79 -0.027 1.1 8.7e+03 0.0023 0.031 -0.41 -
16 -0.53 -1.2 -0.078 -0.78 -0.0079 1.1 8.7e+03 0.00047 0.031 0.8 +
17 -0.53 -1.2 -0.078 -0.78 -0.0079 1.1 8.7e+03 0.00047 0.016 -1.2 -
18 -0.53 -1.2 -0.078 -0.78 -0.0079 1.1 8.7e+03 0.00047 0.0078 0.055 -
19 -0.54 -1.2 -0.083 -0.78 -0.015 1.1 8.7e+03 0.00072 0.0078 0.54 +
20 -0.55 -1.2 -0.091 -0.78 -0.013 1.1 8.7e+03 0.0005 0.0078 0.29 +
21 -0.55 -1.2 -0.091 -0.78 -0.013 1.1 8.7e+03 0.0005 0.0039 0.061 -
22 -0.55 -1.2 -0.095 -0.78 -0.015 1.1 8.7e+03 0.00023 0.0039 0.45 +
23 -0.55 -1.2 -0.095 -0.78 -0.015 1.1 8.7e+03 0.00023 0.002 -0.44 -
24 -0.54 -1.2 -0.093 -0.78 -0.014 1.1 8.7e+03 0.00015 0.002 0.35 +
25 -0.54 -1.2 -0.093 -0.78 -0.015 1.1 8.7e+03 7.8e-05 0.002 0.68 +
26 -0.54 -1.2 -0.093 -0.78 -0.015 1.1 8.7e+03 7.8e-05 0.00098 -2.9 -
27 -0.54 -1.2 -0.093 -0.78 -0.015 1.1 8.7e+03 7.8e-05 0.00049 -1.3 -
28 -0.54 -1.2 -0.093 -0.78 -0.014 1.1 8.7e+03 5.2e-05 0.00049 0.28 +
29 -0.54 -1.2 -0.092 -0.78 -0.015 1.1 8.7e+03 2.3e-05 0.00049 0.73 +
30 -0.54 -1.2 -0.092 -0.78 -0.015 1.1 8.7e+03 2.3e-05 0.00024 -0.43 -
31 -0.54 -1.2 -0.092 -0.78 -0.015 1.1 8.7e+03 2.3e-05 0.00024 0.14 +
32 -0.54 -1.2 -0.092 -0.78 -0.015 1.1 8.7e+03 8.2e-06 0.00024 0.47 +
33 -0.54 -1.2 -0.092 -0.78 -0.015 1.1 8.7e+03 3.9e-06 0.00024 0.8 +
Considering neighbor 4/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 6 unknown parameters [max: 50]
*** Estimate b07everything_000049
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st b_cost asc_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.032 -
1 -0.5 -0.5 -0.5 -0.5 0.5 1.5 9.2e+03 0.13 0.5 0.52 +
2 -0.33 -1 -1 -1 5.6e-17 1 8.7e+03 0.032 0.5 0.34 +
3 -0.33 -1 -1 -1 5.6e-17 1 8.7e+03 0.032 0.25 -2.1 -
4 -0.33 -1 -1 -1 5.6e-17 1 8.7e+03 0.032 0.12 -0.74 -
5 -0.46 -1 -0.95 -0.98 0.13 1.1 8.6e+03 0.012 0.12 0.52 +
6 -0.47 -0.93 -0.83 -0.93 0.073 1.1 8.6e+03 0.014 0.12 0.63 +
7 -0.6 -0.95 -0.76 -0.86 -0.008 1.1 8.6e+03 0.012 0.12 0.35 +
8 -0.63 -0.86 -0.64 -0.86 -0.014 1.1 8.6e+03 0.0069 0.12 0.38 +
9 -0.63 -0.86 -0.64 -0.86 -0.014 1.1 8.6e+03 0.0069 0.062 -4 -
10 -0.63 -0.86 -0.64 -0.86 -0.014 1.1 8.6e+03 0.0069 0.031 -0.49 -
11 -0.63 -0.89 -0.65 -0.85 -0.041 1.1 8.6e+03 0.0023 0.031 0.74 +
12 -0.63 -0.89 -0.65 -0.85 -0.041 1.1 8.6e+03 0.0023 0.016 -0.41 -
13 -0.62 -0.88 -0.65 -0.87 -0.025 1.1 8.6e+03 0.0018 0.016 0.3 +
14 -0.61 -0.9 -0.67 -0.86 -0.027 1.1 8.6e+03 0.0015 0.016 0.49 +
15 -0.61 -0.9 -0.67 -0.86 -0.027 1.1 8.6e+03 0.0015 0.0078 -0.9 -
16 -0.6 -0.89 -0.66 -0.86 -0.026 1.1 8.6e+03 0.001 0.0078 0.11 +
17 -0.6 -0.89 -0.66 -0.86 -0.022 1.1 8.6e+03 0.00067 0.0078 0.74 +
18 -0.6 -0.89 -0.66 -0.86 -0.022 1.1 8.6e+03 0.00067 0.0039 -0.33 -
19 -0.6 -0.9 -0.66 -0.86 -0.025 1.1 8.6e+03 0.00073 0.0039 0.18 +
20 -0.6 -0.9 -0.66 -0.86 -0.024 1.1 8.6e+03 0.00034 0.0039 0.74 +
21 -0.59 -0.89 -0.66 -0.86 -0.024 1.1 8.6e+03 0.00042 0.0039 0.19 +
22 -0.59 -0.9 -0.66 -0.86 -0.028 1.1 8.6e+03 0.00024 0.0039 0.69 +
23 -0.59 -0.89 -0.66 -0.86 -0.026 1.1 8.6e+03 0.0002 0.0039 0.53 +
24 -0.58 -0.9 -0.66 -0.86 -0.029 1.1 8.6e+03 0.00013 0.0039 0.52 +
25 -0.58 -0.9 -0.66 -0.86 -0.029 1.1 8.6e+03 0.00013 0.002 -0.21 -
26 -0.58 -0.89 -0.65 -0.86 -0.029 1.1 8.6e+03 0.00012 0.002 0.33 +
27 -0.58 -0.89 -0.65 -0.86 -0.029 1.1 8.6e+03 0.00012 0.00098 -0.52 -
28 -0.58 -0.9 -0.66 -0.85 -0.029 1.1 8.6e+03 9e-05 0.00098 0.17 +
29 -0.58 -0.9 -0.66 -0.86 -0.028 1.1 8.6e+03 4.3e-05 0.00098 0.46 +
30 -0.58 -0.9 -0.66 -0.86 -0.028 1.1 8.6e+03 4.3e-05 0.00049 -0.00039 -
31 -0.58 -0.89 -0.66 -0.86 -0.029 1.1 8.6e+03 8e-06 0.00049 0.73 +
32 -0.58 -0.89 -0.66 -0.86 -0.029 1.1 8.6e+03 8e-06 0.00024 -4.1 -
33 -0.58 -0.89 -0.66 -0.86 -0.029 1.1 8.6e+03 8e-06 0.00012 -0.84 -
34 -0.58 -0.89 -0.66 -0.86 -0.029 1.1 8.6e+03 1e-05 0.00012 0.36 +
35 -0.58 -0.89 -0.66 -0.86 -0.029 1.1 8.6e+03 1e-05 6.1e-05 -0.6 -
36 -0.58 -0.89 -0.66 -0.86 -0.029 1.1 8.6e+03 5.2e-06 6.1e-05 0.62 -
Considering neighbor 5/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000050
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time lambda_travel_t b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 1 0 0 0 0 1 1.1e+04 0.26 0.5 -0.4 -
1 -0.5 -0.5 1 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 0.21 0.5 0.25 +
2 -0.33 -0.45 0.97 -0.44 0 0.55 -0.39 1.3 9.2e+03 0.091 0.5 0.69 +
3 -0.24 -0.95 0.99 -0.55 -0.15 0.054 -0.72 1.1 9e+03 0.095 0.5 0.2 +
4 -0.24 -0.95 0.99 -0.55 -0.15 0.054 -0.72 1.1 9e+03 0.095 0.25 -0.18 -
5 -0.33 -0.95 0.96 -0.67 -0.4 0.23 -0.51 1.2 8.7e+03 0.04 0.25 0.8 +
6 -0.33 -0.95 0.96 -0.67 -0.4 0.23 -0.51 1.2 8.7e+03 0.04 0.12 -0.34 -
7 -0.33 -0.95 0.96 -0.67 -0.4 0.23 -0.51 1.2 8.7e+03 0.04 0.062 -0.22 -
8 -0.33 -1 0.94 -0.74 -0.33 0.17 -0.57 1.2 8.6e+03 0.032 0.062 0.6 +
9 -0.26 -0.98 0.88 -0.8 -0.4 0.11 -0.51 1.2 8.6e+03 0.026 0.062 0.73 +
10 -0.3 -1 0.86 -0.86 -0.38 0.046 -0.52 1.2 8.6e+03 0.035 0.062 0.8 +
11 -0.23 -0.98 0.79 -0.92 -0.44 0.015 -0.45 1.2 8.6e+03 0.027 0.062 0.76 +
12 -0.25 -1 0.79 -0.99 -0.41 -0.029 -0.47 1.2 8.5e+03 0.03 0.062 0.89 +
13 -0.19 -1.1 0.73 -1 -0.48 -0.092 -0.41 1.2 8.5e+03 0.017 0.062 0.88 +
14 -0.21 -1.2 0.67 -1.1 -0.54 -0.15 -0.35 1.2 8.5e+03 0.015 0.062 0.57 +
15 -0.15 -1.2 0.6 -1.2 -0.6 -0.22 -0.41 1.2 8.5e+03 0.019 0.062 0.71 +
16 -0.16 -1.3 0.6 -1.2 -0.61 -0.2 -0.39 1.2 8.5e+03 0.019 0.062 0.52 +
17 -0.093 -1.3 0.6 -1.2 -0.64 -0.23 -0.4 1.2 8.4e+03 0.017 0.062 0.87 +
18 -0.079 -1.3 0.59 -1.3 -0.62 -0.25 -0.41 1.2 8.4e+03 0.025 0.062 0.27 +
19 -0.033 -1.3 0.58 -1.3 -0.68 -0.23 -0.38 1.2 8.4e+03 0.01 0.062 0.8 +
20 0.029 -1.4 0.57 -1.4 -0.67 -0.28 -0.42 1.2 8.4e+03 0.013 0.062 0.49 +
21 0.046 -1.4 0.55 -1.5 -0.71 -0.26 -0.39 1.2 8.4e+03 0.0072 0.062 0.86 +
22 0.1 -1.4 0.53 -1.5 -0.71 -0.29 -0.42 1.2 8.4e+03 0.01 0.062 0.79 +
23 0.14 -1.4 0.51 -1.6 -0.77 -0.28 -0.41 1.2 8.4e+03 0.01 0.062 0.59 +
24 0.15 -1.5 0.5 -1.7 -0.75 -0.29 -0.42 1.2 8.4e+03 0.01 0.062 0.26 +
25 0.15 -1.5 0.5 -1.7 -0.75 -0.29 -0.42 1.2 8.4e+03 0.01 0.031 -0.035 -
26 0.18 -1.5 0.5 -1.7 -0.77 -0.29 -0.43 1.2 8.4e+03 0.0066 0.031 0.84 +
27 0.18 -1.5 0.49 -1.7 -0.77 -0.29 -0.43 1.2 8.4e+03 0.0042 0.31 0.91 ++
28 0.38 -1.6 0.38 -2 -0.88 -0.28 -0.5 1.1 8.4e+03 0.0062 0.31 0.28 +
29 0.38 -1.6 0.38 -2 -0.88 -0.28 -0.5 1.1 8.4e+03 0.0062 0.071 0.065 -
30 0.31 -1.6 0.43 -2 -0.81 -0.22 -0.5 1.1 8.4e+03 0.0045 0.071 0.72 +
31 0.24 -1.6 0.41 -2 -0.81 -0.17 -0.48 1 8.4e+03 0.0057 0.071 0.14 +
32 0.24 -1.7 0.38 -2 -0.8 -0.19 -0.48 1 8.4e+03 0.0047 0.071 0.54 +
33 0.26 -1.7 0.41 -2 -0.79 -0.18 -0.48 1 8.4e+03 0.0019 0.071 0.8 +
34 0.25 -1.7 0.4 -2 -0.8 -0.17 -0.47 1 8.4e+03 0.00083 0.071 0.47 +
35 0.25 -1.7 0.4 -2 -0.8 -0.17 -0.47 1 8.4e+03 0.00083 0.036 -1.6 -
36 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.001 0.036 0.77 +
37 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.001 0.018 -7.6 -
38 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.001 0.0089 -3.7 -
39 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.001 0.0044 -2 -
40 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.001 0.0022 -0.52 -
41 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.001 0.0011 0.099 -
42 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.00014 0.0011 0.7 +
43 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.0002 0.0011 0.54 +
44 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.00012 0.0011 0.7 +
45 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.00012 0.0011 0.78 +
46 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 0.00013 0.0011 0.47 +
47 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 6.4e-05 0.0011 0.52 +
48 0.27 -1.7 0.39 -2 -0.81 -0.17 -0.49 1 8.4e+03 3.4e-05 0.0011 0.36 +
49 0.27 -1.7 0.39 -2 -0.81 -0.17 -0.49 1 8.4e+03 3.4e-05 0.00056 -1.4 -
50 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 9.6e-06 0.00056 0.69 +
51 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 9.6e-06 0.00028 -1.6 -
52 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 9.6e-06 0.00014 -0.099 -
53 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 1.4e-05 0.00014 0.48 +
54 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 1.2e-05 0.00014 0.15 +
55 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 1.2e-05 6.9e-05 0.083 -
56 0.27 -1.7 0.39 -2.1 -0.81 -0.17 -0.49 1 8.4e+03 3.2e-06 6.9e-05 0.81 -
Considering neighbor 6/20 for current solution
Considering neighbor 7/20 for current solution
Attempt 26/100
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000051
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car Function Relgrad Radius Rho
0 -0.98 1 -0.74 -0.62 -0.66 -0.35 -0.49 -0.6 8.5e+03 0.049 10 1.1 ++
1 -0.92 1.3 -1.2 -0.84 -0.73 -0.31 -0.99 -0.38 8.3e+03 0.011 1e+02 1.1 ++
2 -0.86 1.3 -1.3 -1 -0.75 -0.33 -1.1 -0.35 8.3e+03 0.001 1e+03 1.1 ++
3 -0.85 1.3 -1.3 -1 -0.76 -0.33 -1.1 -0.35 8.3e+03 1.7e-05 1e+04 1 ++
4 -0.85 1.3 -1.3 -1 -0.76 -0.33 -1.1 -0.35 8.3e+03 4.9e-09 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:altspec;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8279.123397855135, 8]
Attempt 27/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000052
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train b_cost_train b_time_swissmet b_cost_swissmet asc_car b_time_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.91 -
1 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.17 -
2 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 0.14 0.25 0.44 +
3 -0.25 -0.25 -0.25 0.25 0.25 0.25 -0.25 -0.25 1.2 9.6e+03 0.14 0.12 -0.87 -
4 -0.38 -0.38 -0.38 0.12 0.12 0.38 -0.12 -0.12 1.4 9.5e+03 0.11 0.12 0.11 +
5 -0.25 -0.25 -0.28 0 0 0.25 -0.25 -0.25 1.2 9.3e+03 0.11 0.12 0.59 +
6 -0.35 -0.38 -0.4 0.041 0.047 0.22 -0.29 -0.27 1.3 9.2e+03 0.081 0.12 0.62 +
7 -0.32 -0.37 -0.43 -0.065 -0.078 0.2 -0.3 -0.27 1.3 9.1e+03 0.042 1.2 0.93 ++
8 -0.3 -1.3 -1.6 -1.3 -1.3 -0.76 -1.4 -0.81 1.6 8.8e+03 0.1 1.2 0.16 +
9 -0.3 -1.3 -1.6 -1.3 -1.3 -0.76 -1.4 -0.81 1.6 8.8e+03 0.1 0.62 -0.61 -
10 -0.3 -1.3 -1.6 -1.3 -1.3 -0.76 -1.4 -0.81 1.6 8.8e+03 0.1 0.31 -1.3 -
11 -0.3 -1.3 -1.6 -1.3 -1.3 -0.76 -1.4 -0.81 1.6 8.8e+03 0.1 0.16 -0.45 -
12 -0.3 -1.3 -1.6 -1.3 -1.3 -0.76 -1.4 -0.81 1.6 8.8e+03 0.1 0.078 0.051 -
13 -0.22 -1.3 -1.6 -1.4 -1.4 -0.68 -1.3 -0.73 1.5 8.7e+03 0.11 0.078 0.6 +
14 -0.23 -1.3 -1.7 -1.3 -1.3 -0.69 -1.3 -0.74 1.5 8.6e+03 0.045 0.078 0.82 +
15 -0.16 -1.2 -1.7 -1.4 -1.2 -0.61 -1.3 -0.66 1.4 8.5e+03 0.083 0.078 0.58 +
16 -0.13 -1.2 -1.8 -1.4 -1.1 -0.68 -1.3 -0.72 1.4 8.5e+03 0.07 0.078 0.19 +
17 -0.13 -1.2 -1.8 -1.4 -1.1 -0.64 -1.3 -0.68 1.4 8.5e+03 0.021 0.78 1 ++
18 -0.13 -1.2 -1.8 -1.4 -1.1 -0.64 -1.3 -0.68 1.4 8.5e+03 0.021 0.39 -6.5 -
19 -0.13 -1.2 -1.8 -1.4 -1.1 -0.64 -1.3 -0.68 1.4 8.5e+03 0.021 0.2 -1.2 -
20 -0.049 -1.1 -1.9 -1.5 -0.92 -0.64 -1.2 -0.66 1.3 8.5e+03 0.03 0.2 0.41 +
21 -0.034 -1.3 -1.7 -1.3 -0.85 -0.68 -1 -0.63 1.1 8.4e+03 0.019 0.2 0.48 +
22 -0.034 -1.3 -1.7 -1.3 -0.85 -0.68 -1 -0.63 1.1 8.4e+03 0.019 0.098 0.025 -
23 -0.035 -1.3 -1.7 -1.4 -0.81 -0.64 -1 -0.64 1.2 8.4e+03 0.0085 0.098 0.59 +
24 -0.035 -1.3 -1.7 -1.4 -0.81 -0.64 -1 -0.64 1.2 8.4e+03 0.0085 0.049 -0.95 -
25 -0.035 -1.3 -1.7 -1.4 -0.81 -0.64 -1 -0.64 1.2 8.4e+03 0.0085 0.024 -0.38 -
26 -0.023 -1.3 -1.7 -1.4 -0.81 -0.65 -1 -0.65 1.1 8.4e+03 0.0095 0.024 0.32 +
27 -0.036 -1.3 -1.7 -1.4 -0.8 -0.63 -1 -0.65 1.1 8.4e+03 0.0035 0.024 0.84 +
28 -0.039 -1.3 -1.8 -1.4 -0.8 -0.62 -1 -0.64 1.1 8.4e+03 0.0049 0.024 0.34 +
29 -0.035 -1.3 -1.8 -1.4 -0.79 -0.62 -1 -0.64 1.1 8.4e+03 0.0029 0.024 0.82 +
30 -0.038 -1.4 -1.8 -1.4 -0.79 -0.61 -1 -0.64 1 8.4e+03 0.0033 0.24 0.91 ++
31 -0.034 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.65 1 8.4e+03 0.0069 0.24 0.51 +
32 -0.039 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.64 1 8.4e+03 0.0019 2.4 1 ++
33 -0.039 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.64 1 8.4e+03 0.0019 1.2 -70 -
34 -0.039 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.64 1 8.4e+03 0.0019 0.61 -48 -
35 -0.039 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.64 1 8.4e+03 0.0019 0.31 -20 -
36 -0.039 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.64 1 8.4e+03 0.0019 0.15 -8.4 -
37 -0.039 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.64 1 8.4e+03 0.0019 0.076 -2.7 -
38 -0.039 -1.4 -1.8 -1.4 -0.78 -0.6 -1 -0.64 1 8.4e+03 0.0019 0.038 -0.58 -
39 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.0011 0.038 0.35 +
40 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.0011 0.019 -8.7 -
41 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.0011 0.0095 -2.9 -
42 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.0011 0.0048 -0.94 -
43 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.0011 0.0024 -0.22 -
44 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.0011 0.0012 0.017 -
45 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.00085 0.0012 0.46 +
46 -0.021 -1.4 -1.9 -1.5 -0.8 -0.59 -1.1 -0.66 1 8.4e+03 0.00081 0.012 0.93 ++
47 -0.019 -1.4 -1.9 -1.5 -0.78 -0.59 -1.1 -0.66 1 8.4e+03 0.0012 0.012 0.2 +
48 -0.019 -1.4 -1.9 -1.5 -0.78 -0.59 -1.1 -0.66 1 8.4e+03 0.0012 0.006 0.04 -
49 -0.017 -1.4 -1.9 -1.5 -0.79 -0.6 -1.1 -0.66 1 8.4e+03 0.00047 0.006 0.7 +
50 -0.022 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 9.4e-05 0.006 0.63 +
51 -0.022 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 9.4e-05 0.003 -2.5 -
52 -0.022 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 9.4e-05 0.0015 -0.25 -
53 -0.021 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 0.00017 0.0015 0.49 +
54 -0.02 -1.4 -1.9 -1.5 -0.79 -0.6 -1.1 -0.66 1 8.4e+03 0.00021 0.0015 0.1 +
55 -0.02 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 0.00016 0.0015 0.24 +
56 -0.02 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 0.00016 0.00075 0.068 -
57 -0.02 -1.4 -1.9 -1.5 -0.79 -0.6 -1.1 -0.66 1 8.4e+03 0.00011 0.00075 0.51 +
58 -0.02 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 6.5e-05 0.00075 0.16 +
59 -0.02 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 6.5e-05 0.00037 0.097 -
60 -0.02 -1.4 -1.9 -1.5 -0.79 -0.59 -1.1 -0.66 1 8.4e+03 2.2e-05 0.00037 0.84 +
61 -0.019 -1.4 -1.9 -1.5 -0.79 -0.6 -1.1 -0.66 1 8.4e+03 4.3e-05 0.00037 0.15 +
62 -0.019 -1.4 -1.9 -1.5 -0.79 -0.6 -1.1 -0.66 1 8.4e+03 4.6e-06 0.00037 0.55 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000053
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di square_tt_coef cube_tt_coef b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car b_time_car_ref b_time_car_diff b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -1.1 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.39 -
2 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.25 0.23 +
3 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.12 0.23 -
4 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.062 0.23 -
5 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.031 -2.4 -
6 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.016 -1.7 -
7 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.0078 -1.3 -
8 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.0039 -1 -
9 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.002 -0.6 -
10 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 4.1 0.00098 -0.027 -
11 -0.25 -0.25 -0.25 -0.00098 -0.00098 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 1.7 0.00098 0.35 +
12 -0.25 -0.25 -0.25 -0.002 -0.00067 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 1e+04 0.91 0.0098 1.2 ++
13 -0.25 -0.25 -0.25 -0.012 -0.00019 -0.25 0.24 0.24 0.24 0.25 -0.24 -0.24 -0.24 1.2 1e+04 2.5 0.098 0.94 ++
14 -0.24 -0.24 -0.24 -0.11 -0.0015 -0.25 0.18 0.2 0.15 0.29 -0.18 -0.2 -0.2 1.2 9.5e+03 7.3 0.098 0.52 +
15 -0.24 -0.24 -0.24 -0.11 -0.0015 -0.25 0.18 0.2 0.15 0.29 -0.18 -0.2 -0.2 1.2 9.5e+03 7.3 0.049 -0.0088 -
16 -0.24 -0.24 -0.24 -0.11 -0.0015 -0.25 0.18 0.2 0.15 0.29 -0.18 -0.2 -0.2 1.2 9.5e+03 7.3 0.024 0.067 -
17 -0.24 -0.24 -0.24 -0.11 -0.0015 -0.25 0.18 0.2 0.15 0.29 -0.18 -0.2 -0.2 1.2 9.5e+03 7.3 0.012 0.069 -
18 -0.24 -0.24 -0.24 -0.11 -0.0015 -0.25 0.18 0.2 0.15 0.29 -0.18 -0.2 -0.2 1.2 9.5e+03 7.3 0.0061 0.042 -
19 -0.24 -0.24 -0.24 -0.11 -0.0015 -0.25 0.18 0.2 0.15 0.29 -0.18 -0.2 -0.2 1.2 9.5e+03 7.3 0.0031 0.014 -
20 -0.24 -0.24 -0.24 -0.11 0.0016 -0.25 0.18 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.5e+03 2.4 0.0031 0.36 +
21 -0.24 -0.24 -0.24 -0.11 0.00083 -0.25 0.17 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 2.1 0.031 1.5 ++
22 -0.24 -0.24 -0.24 -0.11 0.00083 -0.25 0.17 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 2.1 0.015 -1.9 -
23 -0.24 -0.24 -0.24 -0.11 0.00083 -0.25 0.17 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 2.1 0.0076 -3 -
24 -0.24 -0.24 -0.24 -0.11 0.00083 -0.25 0.17 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 2.1 0.0038 -3.8 -
25 -0.24 -0.24 -0.24 -0.11 0.00083 -0.25 0.17 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 2.1 0.0019 -3.1 -
26 -0.24 -0.24 -0.24 -0.11 0.00083 -0.25 0.17 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 2.1 0.00095 -0.96 -
27 -0.24 -0.24 -0.24 -0.11 -0.00012 -0.25 0.17 0.19 0.15 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 2.8 0.00095 0.4 +
28 -0.24 -0.24 -0.24 -0.11 0.00043 -0.25 0.17 0.19 0.14 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 1.5 0.00095 0.49 +
29 -0.24 -0.24 -0.24 -0.11 0.00024 -0.25 0.17 0.19 0.14 0.29 -0.18 -0.19 -0.2 1.2 9.4e+03 0.35 0.0095 1.2 ++
30 -0.24 -0.25 -0.24 -0.11 0.00023 -0.26 0.17 0.19 0.13 0.3 -0.18 -0.19 -0.2 1.2 9.4e+03 0.079 0.095 0.95 ++
31 -0.25 -0.28 -0.25 -0.14 0.0029 -0.28 0.13 0.14 0.039 0.31 -0.16 -0.15 -0.18 1.3 9.4e+03 1.6 0.095 0.38 +
32 -0.28 -0.33 -0.27 -0.047 -0.00023 -0.34 0.13 0.11 0.023 0.24 -0.2 -0.16 -0.23 1.3 9.3e+03 1.4 0.95 0.93 ++
33 -0.3 -0.7 -0.37 0.34 -0.00082 -0.93 -0.39 -0.67 -0.93 -0.42 -0.52 -0.02 -0.67 1.3 9.1e+03 5.9 0.95 0.13 +
34 -0.3 -0.7 -0.37 0.34 -0.00082 -0.93 -0.39 -0.67 -0.93 -0.42 -0.52 -0.02 -0.67 1.3 9.1e+03 5.9 0.23 -1.7 -
35 -0.3 -0.7 -0.37 0.34 -0.00082 -0.93 -0.39 -0.67 -0.93 -0.42 -0.52 -0.02 -0.67 1.3 9.1e+03 5.9 0.12 -0.71 -
36 -0.3 -0.7 -0.37 0.34 -0.00082 -0.93 -0.39 -0.67 -0.93 -0.42 -0.52 -0.02 -0.67 1.3 9.1e+03 5.9 0.059 -0.031 -
37 -0.29 -0.67 -0.37 0.33 -0.0046 -0.93 -0.38 -0.64 -0.9 -0.44 -0.57 -0.078 -0.69 1.2 9e+03 12 0.059 0.12 +
38 -0.28 -0.62 -0.35 0.29 -0.001 -0.94 -0.39 -0.62 -0.88 -0.45 -0.58 -0.14 -0.7 1.2 8.7e+03 6.3 0.059 0.79 +
39 -0.27 -0.6 -0.36 0.24 -0.0023 -0.96 -0.43 -0.6 -0.86 -0.44 -0.52 -0.17 -0.68 1.2 8.7e+03 5.5 0.059 0.38 +
40 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.59 0.91 ++
41 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.29 -2 -
42 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.15 -1.3 -
43 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.073 -0.62 -
44 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.037 -0.31 -
45 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.018 -0.34 -
46 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.0092 -0.63 -
47 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.0046 -1.1 -
48 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.0023 -1.7 -
49 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.0011 -2.1 -
50 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.00057 -2.5 -
51 -0.28 -0.61 -0.38 0.23 -0.0014 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.4 0.00029 -1.4 -
52 -0.28 -0.61 -0.38 0.23 -0.0011 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 4.8 0.00029 0.21 +
53 -0.28 -0.61 -0.38 0.23 -0.0013 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 2.2 0.00029 0.37 +
54 -0.28 -0.61 -0.38 0.23 -0.0013 -1 -0.44 -0.56 -0.81 -0.44 -0.5 -0.23 -0.68 1.2 8.6e+03 1.2 0.0029 1.4 ++
55 -0.28 -0.61 -0.38 0.23 -0.0012 -1 -0.44 -0.55 -0.81 -0.44 -0.5 -0.24 -0.68 1.2 8.6e+03 2.3 0.0029 0.82 +
56 -0.28 -0.61 -0.38 0.22 -0.0012 -1 -0.44 -0.55 -0.81 -0.44 -0.49 -0.24 -0.68 1.2 8.6e+03 0.49 0.029 0.94 ++
57 -0.28 -0.61 -0.39 0.2 -0.0011 -1 -0.47 -0.54 -0.79 -0.43 -0.47 -0.27 -0.67 1.2 8.5e+03 1.8 0.029 0.86 +
58 -0.28 -0.61 -0.39 0.19 -0.0011 -1.1 -0.48 -0.52 -0.76 -0.44 -0.46 -0.3 -0.66 1.2 8.5e+03 1 0.29 0.93 ++
59 -0.24 -0.56 -0.4 0.14 -0.001 -1.3 -0.68 -0.54 -0.66 -0.5 -0.4 -0.46 -0.6 1.2 8.4e+03 1.1 0.29 0.59 +
60 -0.24 -0.56 -0.4 0.14 -0.001 -1.3 -0.68 -0.54 -0.66 -0.5 -0.4 -0.46 -0.6 1.2 8.4e+03 1.1 0.14 -3.5 -
61 -0.24 -0.56 -0.4 0.14 -0.001 -1.3 -0.68 -0.54 -0.66 -0.5 -0.4 -0.46 -0.6 1.2 8.4e+03 1.1 0.072 -0.81 -
62 -0.27 -0.63 -0.42 0.12 -0.00092 -1.4 -0.64 -0.54 -0.66 -0.51 -0.41 -0.45 -0.6 1.3 8.4e+03 1 0.072 0.19 +
63 -0.27 -0.63 -0.42 0.12 -0.00092 -1.4 -0.64 -0.54 -0.66 -0.51 -0.41 -0.45 -0.6 1.3 8.4e+03 1 0.036 -0.15 -
64 -0.25 -0.6 -0.41 0.087 -0.00074 -1.4 -0.65 -0.54 -0.68 -0.52 -0.43 -0.46 -0.61 1.2 8.4e+03 1.3 0.036 0.72 +
65 -0.25 -0.63 -0.42 0.098 -0.00072 -1.4 -0.65 -0.56 -0.71 -0.55 -0.46 -0.48 -0.61 1.2 8.4e+03 0.29 0.036 0.59 +
66 -0.24 -0.66 -0.43 0.09 -0.00072 -1.4 -0.67 -0.57 -0.75 -0.55 -0.46 -0.48 -0.6 1.3 8.4e+03 1 0.036 0.49 +
67 -0.24 -0.66 -0.43 0.09 -0.00072 -1.4 -0.67 -0.57 -0.75 -0.55 -0.46 -0.48 -0.6 1.3 8.4e+03 1 0.018 -0.27 -
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114 0.059 -1.4 -0.66 -0.083 9.2e-05 -1.8 -1.4 -0.84 -0.91 -0.69 -1.1 -0.84 -0.58 1.2 8.3e+03 2.2 0.17 0.99 ++
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116 0.087 -1.6 -0.71 -0.088 9.1e-05 -1.8 -1.5 -0.88 -0.91 -0.67 -1.2 -0.84 -0.61 1.1 8.3e+03 5.6 0.085 -3.5 -
117 0.087 -1.6 -0.71 -0.088 9.1e-05 -1.8 -1.5 -0.88 -0.91 -0.67 -1.2 -0.84 -0.61 1.1 8.3e+03 5.6 0.043 -2.3 -
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119 0.084 -1.6 -0.72 -0.1 0.00017 -1.8 -1.5 -0.86 -0.88 -0.64 -1.2 -0.86 -0.59 1.1 8.3e+03 3.5 0.021 -0.46 -
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123 0.11 -1.7 -0.72 -0.093 0.00013 -1.8 -1.6 -0.87 -0.89 -0.64 -1.2 -0.87 -0.6 1 8.3e+03 0.68 0.021 0.67 +
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128 0.12 -1.8 -0.74 -0.099 0.00016 -1.9 -1.6 -0.87 -0.87 -0.63 -1.2 -0.87 -0.6 1 8.3e+03 1 0.53 -2.4 -
129 0.12 -1.8 -0.74 -0.099 0.00016 -1.9 -1.6 -0.87 -0.87 -0.63 -1.2 -0.87 -0.6 1 8.3e+03 1 0.27 -0.15 -
130 0.27 -2 -0.76 -0.11 0.00022 -2 -1.9 -0.92 -0.9 -0.61 -1.4 -0.88 -0.65 1 8.3e+03 5.3 0.27 0.46 +
131 0.27 -2 -0.76 -0.11 0.0002 -2 -1.9 -0.92 -0.9 -0.61 -1.4 -0.88 -0.65 1 8.3e+03 1.4 0.27 0.86 +
132 0.27 -2 -0.76 -0.11 0.0002 -2 -1.9 -0.92 -0.9 -0.61 -1.4 -0.88 -0.65 1 8.3e+03 1.4 0.13 -5 -
133 0.27 -2 -0.76 -0.11 0.0002 -2 -1.9 -0.92 -0.9 -0.61 -1.4 -0.88 -0.65 1 8.3e+03 1.4 0.067 -1.2 -
134 0.26 -2.1 -0.74 -0.11 0.0002 -1.9 -1.9 -0.85 -0.95 -0.62 -1.4 -0.91 -0.63 1 8.3e+03 0.1 0.067 0.14 +
135 0.29 -2.1 -0.74 -0.11 0.0002 -1.9 -1.9 -0.87 -0.89 -0.62 -1.4 -0.87 -0.62 1 8.3e+03 0.66 0.067 0.69 +
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137 0.29 -2.1 -0.74 -0.11 0.0002 -1.9 -1.9 -0.87 -0.89 -0.62 -1.4 -0.87 -0.62 1 8.3e+03 0.66 0.017 -2.3 -
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139 0.29 -2.1 -0.74 -0.11 0.0002 -1.9 -1.9 -0.87 -0.89 -0.62 -1.4 -0.87 -0.62 1 8.3e+03 0.66 0.0042 -0.61 -
140 0.29 -2.1 -0.74 -0.11 0.0002 -1.9 -1.9 -0.87 -0.89 -0.62 -1.4 -0.87 -0.62 1 8.3e+03 0.66 0.0021 -0.17 -
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142 0.29 -2.1 -0.74 -0.11 0.0002 -1.9 -1.9 -0.86 -0.89 -0.62 -1.4 -0.87 -0.62 1 8.3e+03 0.031 0.0021 0.73 +
143 0.29 -2.1 -0.74 -0.11 0.0002 -1.9 -1.9 -0.86 -0.89 -0.62 -1.4 -0.87 -0.62 1 8.3e+03 0.016 0.021 0.98 ++
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146 0.35 -2.2 -0.68 -0.11 0.00021 -1.9 -2 -0.77 -0.88 -0.62 -1.5 -0.77 -0.62 1 8.3e+03 0.12 0.1 0.31 +
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148 0.35 -2.2 -0.66 -0.11 0.00021 -1.9 -2 -0.72 -0.88 -0.6 -1.5 -0.81 -0.61 1 8.3e+03 0.72 0.052 0.25 +
149 0.35 -2.2 -0.66 -0.11 0.00021 -1.9 -2 -0.72 -0.88 -0.6 -1.5 -0.81 -0.61 1 8.3e+03 0.72 0.026 -1.3 -
150 0.34 -2.2 -0.66 -0.11 0.00021 -1.9 -2 -0.73 -0.89 -0.61 -1.5 -0.78 -0.62 1 8.3e+03 0.4 0.026 0.76 +
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153 0.35 -2.2 -0.66 -0.11 0.00021 -1.9 -2 -0.73 -0.89 -0.61 -1.5 -0.78 -0.62 1 8.3e+03 0.19 0.0065 0.1 +
154 0.34 -2.2 -0.66 -0.11 0.00021 -1.9 -2 -0.72 -0.89 -0.61 -1.5 -0.78 -0.62 1 8.3e+03 0.19 0.065 0.93 ++
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156 0.33 -2.2 -0.64 -0.11 0.00021 -1.9 -2 -0.71 -0.9 -0.61 -1.5 -0.76 -0.63 1 8.3e+03 0.3 0.033 0.32 +
157 0.33 -2.2 -0.64 -0.11 0.00021 -1.9 -2 -0.71 -0.9 -0.61 -1.5 -0.76 -0.63 1 8.3e+03 0.3 0.016 0.057 -
158 0.33 -2.2 -0.64 -0.11 0.00022 -1.9 -2 -0.69 -0.89 -0.61 -1.5 -0.77 -0.62 1 8.3e+03 0.13 0.016 0.24 +
159 0.34 -2.2 -0.63 -0.11 0.00021 -1.9 -2 -0.69 -0.9 -0.61 -1.5 -0.76 -0.62 1 8.3e+03 0.092 0.016 0.89 +
160 0.34 -2.2 -0.62 -0.11 0.00021 -1.9 -2 -0.67 -0.9 -0.61 -1.5 -0.75 -0.62 1 8.3e+03 0.096 0.016 0.5 +
161 0.34 -2.2 -0.62 -0.11 0.00021 -1.9 -2 -0.67 -0.89 -0.61 -1.5 -0.74 -0.62 1 8.3e+03 0.0044 0.016 0.76 +
162 0.34 -2.2 -0.61 -0.11 0.00021 -1.9 -2 -0.65 -0.9 -0.61 -1.5 -0.73 -0.62 1 8.3e+03 0.082 0.016 0.31 +
163 0.35 -2.2 -0.6 -0.11 0.00022 -1.9 -2.1 -0.64 -0.89 -0.61 -1.5 -0.73 -0.62 1 8.3e+03 0.64 0.016 0.59 +
164 0.35 -2.2 -0.6 -0.11 0.00021 -1.9 -2.1 -0.62 -0.9 -0.6 -1.6 -0.71 -0.62 1 8.3e+03 0.27 0.016 0.19 +
165 0.35 -2.2 -0.6 -0.11 0.00021 -1.9 -2.1 -0.62 -0.9 -0.6 -1.6 -0.71 -0.62 1 8.3e+03 0.27 0.0081 -0.39 -
166 0.34 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.62 -0.9 -0.6 -1.6 -0.71 -0.62 1 8.3e+03 0.54 0.0081 0.36 +
167 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.036 0.0081 0.78 +
168 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.036 0.0041 -1.1 -
169 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.6 -1.6 -0.71 -0.62 1 8.3e+03 0.28 0.0041 0.38 +
170 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.6 -1.6 -0.71 -0.62 1 8.3e+03 0.28 0.002 -0.94 -
171 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.26 0.002 0.18 +
172 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.26 0.001 0.016 -
173 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.02 0.001 0.67 +
174 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.02 0.00051 0.033 -
175 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.042 0.00051 0.28 +
176 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.031 0.00051 0.85 +
177 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.011 0.00051 0.83 +
178 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.71 -0.62 1 8.3e+03 0.0011 0.00051 0.75 +
179 0.35 -2.2 -0.59 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0032 0.0051 0.94 ++
180 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.026 0.0051 0.42 +
181 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.026 0.0025 -5.2 -
182 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.026 0.0013 -1.3 -
183 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.012 0.0013 0.44 +
184 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.012 0.00064 -0.46 -
185 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0025 0.00064 0.6 +
186 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0025 0.00032 -0.5 -
187 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0083 0.00032 0.61 +
188 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0085 0.00032 0.63 +
189 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0034 0.00032 0.17 +
190 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.00049 0.00032 0.71 +
191 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.00049 0.00016 -0.74 -
192 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.61 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0048 0.00016 0.24 +
193 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0044 0.00016 0.8 +
194 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0044 8e-05 -0.2 -
195 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 8.2e-05 8e-05 0.36 +
196 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0021 8e-05 0.58 +
197 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0012 8e-05 0.89 +
198 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.0015 8e-05 0.66 +
199 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 0.00042 8e-05 0.17 +
200 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 9.8e-05 8e-05 0.57 +
201 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 9.8e-05 4e-05 -3.2 -
202 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 9.8e-05 2e-05 -1.1 -
203 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 9.7e-05 2e-05 0.1 +
204 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 9.6e-05 0.0002 0.94 ++
205 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 9.6e-05 2e-05 -0.99 -
206 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 4.1e-05 2e-05 0.47 +
207 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 4.1e-05 9.9e-06 -0.78 -
208 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 5.6e-05 9.9e-06 0.64 +
209 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 5.6e-05 5e-06 -1.7 -
210 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 3.6e-05 5e-06 0.41 +
211 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 1.1e-05 5e-06 0.2 +
212 0.35 -2.3 -0.58 -0.11 0.00021 -1.9 -2.1 -0.6 -0.9 -0.61 -1.6 -0.7 -0.62 1 8.3e+03 5.7e-06 5e-06 0.35 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000054
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.42 -
1 -0.5 -0.5 -0.5 -0.5 0.5 0.5 -0.5 1.5 1e+04 0.24 0.5 0.19 +
2 -0.31 -0.37 -0.42 -0.41 0 0.58 -0.37 1.3 9.1e+03 0.075 0.5 0.82 +
3 -0.25 -0.79 -0.58 -0.52 -0.18 0.078 -0.68 1.1 9e+03 0.1 0.5 0.18 +
4 -0.49 -1.1 -0.64 -0.88 -0.68 0.12 -0.45 1.4 8.8e+03 0.068 0.5 0.25 +
5 -0.49 -1.1 -0.64 -0.88 -0.68 0.12 -0.45 1.4 8.8e+03 0.068 0.2 -0.46 -
6 -0.28 -0.96 -0.59 -0.82 -0.67 -0.08 -0.58 1.2 8.5e+03 0.035 0.2 0.77 +
7 -0.33 -0.96 -0.58 -1 -0.64 -0.079 -0.49 1.2 8.5e+03 0.021 0.2 0.71 +
8 -0.33 -0.96 -0.58 -1 -0.64 -0.079 -0.49 1.2 8.5e+03 0.021 0.1 -0.24 -
9 -0.23 -0.88 -0.54 -1.1 -0.72 -0.14 -0.46 1.1 8.5e+03 0.033 0.1 0.2 +
10 -0.23 -0.92 -0.56 -1.2 -0.65 -0.23 -0.5 1.1 8.5e+03 0.03 0.1 0.48 +
11 -0.26 -0.92 -0.55 -1.3 -0.74 -0.2 -0.41 1.2 8.5e+03 0.024 0.1 0.28 +
12 -0.17 -0.9 -0.54 -1.3 -0.77 -0.3 -0.44 1.1 8.4e+03 0.021 0.1 0.51 +
13 -0.17 -0.9 -0.54 -1.3 -0.77 -0.3 -0.44 1.1 8.4e+03 0.021 0.051 -0.7 -
14 -0.17 -0.9 -0.54 -1.3 -0.77 -0.3 -0.44 1.1 8.4e+03 0.021 0.025 -0.15 -
15 -0.2 -0.93 -0.57 -1.4 -0.74 -0.33 -0.42 1.2 8.4e+03 0.011 0.025 0.55 +
16 -0.18 -0.9 -0.55 -1.4 -0.77 -0.32 -0.39 1.2 8.4e+03 0.011 0.025 0.3 +
17 -0.18 -0.92 -0.55 -1.4 -0.75 -0.34 -0.41 1.2 8.4e+03 0.0084 0.025 0.89 +
18 -0.16 -0.9 -0.54 -1.4 -0.78 -0.36 -0.38 1.2 8.4e+03 0.011 0.025 0.77 +
19 -0.16 -0.92 -0.55 -1.4 -0.77 -0.38 -0.39 1.2 8.4e+03 0.008 0.025 0.88 +
20 -0.14 -0.91 -0.54 -1.5 -0.79 -0.4 -0.37 1.2 8.4e+03 0.0098 0.025 0.85 +
21 -0.14 -0.93 -0.55 -1.5 -0.79 -0.42 -0.37 1.2 8.4e+03 0.0074 0.025 0.83 +
22 -0.13 -0.92 -0.55 -1.5 -0.82 -0.42 -0.37 1.2 8.4e+03 0.0075 0.025 0.83 +
23 -0.13 -0.93 -0.56 -1.5 -0.82 -0.45 -0.37 1.2 8.4e+03 0.006 0.025 0.87 +
24 -0.12 -0.93 -0.55 -1.6 -0.84 -0.45 -0.37 1.2 8.4e+03 0.0065 0.025 0.82 +
25 -0.12 -0.94 -0.56 -1.6 -0.84 -0.47 -0.37 1.2 8.4e+03 0.0048 0.025 0.84 +
26 -0.11 -0.94 -0.56 -1.6 -0.87 -0.48 -0.37 1.2 8.4e+03 0.0055 0.025 0.81 +
27 -0.11 -0.94 -0.56 -1.6 -0.87 -0.5 -0.37 1.2 8.4e+03 0.0039 0.025 0.78 +
28 -0.097 -0.94 -0.57 -1.7 -0.89 -0.51 -0.37 1.2 8.4e+03 0.0041 0.025 0.81 +
29 -0.094 -0.94 -0.57 -1.7 -0.89 -0.52 -0.37 1.2 8.4e+03 0.0029 0.025 0.78 +
30 -0.088 -0.94 -0.57 -1.7 -0.9 -0.53 -0.37 1.2 8.4e+03 0.0024 0.025 0.8 +
31 -0.082 -0.95 -0.58 -1.7 -0.91 -0.54 -0.37 1.2 8.4e+03 0.0025 0.025 0.73 +
32 -0.082 -0.95 -0.58 -1.7 -0.91 -0.54 -0.37 1.2 8.4e+03 0.0025 0.013 -1.4 -
33 -0.088 -0.95 -0.58 -1.7 -0.91 -0.54 -0.37 1.2 8.4e+03 0.0016 0.013 0.25 +
34 -0.084 -0.95 -0.58 -1.8 -0.92 -0.54 -0.37 1.2 8.4e+03 0.0016 0.013 0.86 +
35 -0.082 -0.95 -0.59 -1.8 -0.92 -0.55 -0.37 1.1 8.4e+03 0.0019 0.013 0.27 +
36 -0.087 -0.95 -0.59 -1.8 -0.92 -0.55 -0.37 1.1 8.4e+03 0.00048 0.13 0.96 ++
37 -0.11 -0.97 -0.62 -1.9 -0.94 -0.54 -0.37 1 8.4e+03 0.0018 0.13 0.24 +
38 -0.11 -0.97 -0.62 -1.9 -0.94 -0.54 -0.37 1 8.4e+03 0.0018 0.063 -7 -
39 -0.11 -0.97 -0.62 -1.9 -0.94 -0.54 -0.37 1 8.4e+03 0.0018 0.032 -1.8 -
40 -0.11 -0.96 -0.62 -1.9 -0.92 -0.52 -0.37 1.1 8.4e+03 0.00069 0.032 0.57 +
41 -0.11 -0.96 -0.62 -1.9 -0.92 -0.52 -0.37 1.1 8.4e+03 0.00069 0.016 -1.3 -
42 -0.11 -0.96 -0.62 -1.9 -0.92 -0.52 -0.37 1.1 8.4e+03 0.00069 0.0079 0.053 -
43 -0.12 -0.97 -0.62 -1.9 -0.92 -0.52 -0.37 1.1 8.4e+03 0.0011 0.0079 0.53 +
44 -0.12 -0.97 -0.62 -1.9 -0.92 -0.52 -0.37 1.1 8.4e+03 0.0011 0.004 0.087 -
45 -0.12 -0.97 -0.62 -1.9 -0.93 -0.52 -0.37 1.1 8.4e+03 0.00058 0.004 0.51 +
46 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.37 1.1 8.4e+03 8.8e-05 0.004 0.86 +
47 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.37 1.1 8.4e+03 8.8e-05 0.002 -0.13 -
48 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.37 1.1 8.4e+03 6.4e-05 0.002 0.61 +
49 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.37 1.1 8.4e+03 6.4e-05 0.00099 -0.49 -
50 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.36 1.1 8.4e+03 8.8e-05 0.00099 0.15 +
51 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.36 1.1 8.4e+03 3.9e-05 0.00099 0.33 +
52 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.36 1.1 8.4e+03 3.9e-05 0.00099 0.15 +
53 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.36 1.1 8.4e+03 3.9e-05 0.00049 -0.93 -
54 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.36 1.1 8.4e+03 9.5e-06 0.00049 0.72 +
55 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.36 1.1 8.4e+03 9.5e-06 0.00025 -1.5 -
56 -0.12 -0.97 -0.61 -1.9 -0.93 -0.53 -0.36 1.1 8.4e+03 4.1e-06 0.00025 0.4 -
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000055
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -1.1 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.64 -
2 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.18 -
3 -0.12 -0.12 -0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 -0.12 0.12 0.12 1.9 9.8e+03 0.29 0.12 0.26 +
4 -0.088 -0.023 -0.12 -0.13 -0.1 -0.22 0.25 0.25 0 0 -0.13 0 0 1.9 9.3e+03 0.19 0.12 0.67 +
5 -0.21 -0.058 -0.12 -0.26 -0.21 -0.29 0.23 0.22 0.059 0.0051 -0.14 0.047 0.018 1.9 9.2e+03 0.15 0.12 0.34 +
6 -0.19 -0.017 -0.12 -0.26 -0.19 -0.34 0.22 0.21 -0.0063 -0.054 -0.14 -0.078 -0.054 1.9 9e+03 0.06 0.12 0.82 +
7 -0.22 0.023 -0.12 -0.37 -0.21 -0.44 0.095 0.12 0.022 -0.072 -0.14 -0.062 -0.063 2 8.9e+03 0.086 0.12 0.83 +
8 -0.21 0.1 -0.11 -0.42 -0.19 -0.53 -0.026 0.036 -0.036 -0.14 -0.15 -0.19 -0.16 2 8.7e+03 0.097 0.12 0.63 +
9 -0.25 0.11 -0.11 -0.54 -0.23 -0.56 -0.097 -0.012 -0.021 -0.14 -0.16 -0.18 -0.18 2 8.6e+03 0.045 0.12 0.7 +
10 -0.24 0.16 -0.098 -0.6 -0.24 -0.59 -0.22 -0.09 -0.067 -0.17 -0.17 -0.26 -0.25 2.1 8.5e+03 0.039 0.12 0.84 +
11 -0.26 0.19 -0.087 -0.7 -0.28 -0.61 -0.35 -0.17 -0.07 -0.16 -0.18 -0.26 -0.28 2.1 8.5e+03 0.063 0.12 0.56 +
12 -0.26 0.23 -0.068 -0.79 -0.32 -0.62 -0.47 -0.25 -0.15 -0.18 -0.2 -0.38 -0.38 2.2 8.4e+03 0.029 0.12 0.68 +
13 -0.25 0.26 -0.052 -0.81 -0.34 -0.64 -0.6 -0.33 -0.17 -0.15 -0.22 -0.38 -0.38 2.2 8.4e+03 0.023 0.12 0.55 +
14 -0.25 0.26 -0.052 -0.81 -0.34 -0.64 -0.6 -0.33 -0.17 -0.15 -0.22 -0.38 -0.38 2.2 8.4e+03 0.023 0.062 -0.36 -
15 -0.28 0.25 -0.043 -0.88 -0.37 -0.62 -0.6 -0.33 -0.2 -0.15 -0.23 -0.42 -0.42 2.2 8.3e+03 0.018 0.062 0.53 +
16 -0.28 0.25 -0.043 -0.88 -0.37 -0.62 -0.6 -0.33 -0.2 -0.15 -0.23 -0.42 -0.42 2.2 8.3e+03 0.018 0.031 -2.7 -
17 -0.28 0.25 -0.043 -0.88 -0.37 -0.62 -0.6 -0.33 -0.2 -0.15 -0.23 -0.42 -0.42 2.2 8.3e+03 0.018 0.016 -1.6 -
18 -0.28 0.25 -0.043 -0.88 -0.37 -0.62 -0.6 -0.33 -0.2 -0.15 -0.23 -0.42 -0.42 2.2 8.3e+03 0.018 0.0078 -0.058 -
19 -0.27 0.25 -0.036 -0.87 -0.36 -0.63 -0.61 -0.34 -0.21 -0.16 -0.24 -0.42 -0.42 2.2 8.3e+03 0.018 0.0078 0.53 +
20 -0.27 0.26 -0.033 -0.87 -0.37 -0.63 -0.61 -0.35 -0.2 -0.15 -0.24 -0.42 -0.42 2.2 8.3e+03 0.012 0.0078 0.73 +
21 -0.27 0.26 -0.03 -0.87 -0.37 -0.63 -0.62 -0.36 -0.21 -0.15 -0.25 -0.42 -0.42 2.2 8.3e+03 0.011 0.0078 0.68 +
22 -0.27 0.26 -0.027 -0.88 -0.37 -0.63 -0.63 -0.37 -0.21 -0.14 -0.25 -0.42 -0.42 2.2 8.3e+03 0.011 0.0078 0.74 +
23 -0.27 0.27 -0.024 -0.87 -0.37 -0.63 -0.64 -0.37 -0.22 -0.14 -0.25 -0.42 -0.43 2.2 8.3e+03 0.013 0.0078 0.83 +
24 -0.27 0.27 -0.021 -0.88 -0.38 -0.63 -0.65 -0.38 -0.22 -0.14 -0.25 -0.42 -0.43 2.2 8.3e+03 0.011 0.078 0.91 ++
25 -0.29 0.28 0.0056 -0.94 -0.42 -0.62 -0.72 -0.43 -0.29 -0.12 -0.28 -0.47 -0.48 2.3 8.3e+03 0.017 0.078 0.65 +
26 -0.29 0.28 0.0056 -0.94 -0.42 -0.62 -0.72 -0.43 -0.29 -0.12 -0.28 -0.47 -0.48 2.3 8.3e+03 0.017 0.039 -0.54 -
27 -0.29 0.29 0.011 -0.93 -0.42 -0.63 -0.76 -0.46 -0.29 -0.11 -0.29 -0.45 -0.47 2.3 8.3e+03 0.012 0.039 0.5 +
28 -0.31 0.3 0.028 -0.96 -0.44 -0.63 -0.79 -0.48 -0.33 -0.11 -0.31 -0.47 -0.5 2.3 8.3e+03 0.011 0.039 0.84 +
29 -0.3 0.32 0.04 -0.95 -0.44 -0.64 -0.83 -0.51 -0.35 -0.1 -0.32 -0.47 -0.51 2.3 8.3e+03 0.018 0.039 0.35 +
30 -0.34 0.32 0.062 -0.98 -0.47 -0.64 -0.85 -0.53 -0.38 -0.09 -0.35 -0.48 -0.54 2.3 8.3e+03 0.0075 0.039 0.77 +
31 -0.36 0.34 0.089 -0.98 -0.49 -0.65 -0.88 -0.57 -0.42 -0.08 -0.37 -0.46 -0.55 2.3 8.3e+03 0.0043 0.039 0.76 +
32 -0.39 0.35 0.11 -0.98 -0.49 -0.65 -0.89 -0.59 -0.44 -0.066 -0.39 -0.46 -0.59 2.3 8.3e+03 0.0072 0.039 0.52 +
33 -0.43 0.37 0.13 -0.97 -0.52 -0.66 -0.89 -0.61 -0.47 -0.066 -0.42 -0.46 -0.58 2.3 8.3e+03 0.0043 0.039 0.63 +
34 -0.43 0.37 0.13 -0.97 -0.52 -0.66 -0.89 -0.61 -0.47 -0.066 -0.42 -0.46 -0.58 2.3 8.3e+03 0.0043 0.02 -3.2 -
35 -0.43 0.37 0.13 -0.97 -0.52 -0.66 -0.89 -0.61 -0.47 -0.066 -0.42 -0.46 -0.58 2.3 8.3e+03 0.0043 0.0098 -2.5 -
36 -0.43 0.37 0.13 -0.97 -0.52 -0.66 -0.89 -0.61 -0.47 -0.066 -0.42 -0.46 -0.58 2.3 8.3e+03 0.0043 0.0049 -0.032 -
37 -0.43 0.37 0.14 -0.97 -0.52 -0.65 -0.9 -0.62 -0.47 -0.061 -0.43 -0.45 -0.58 2.3 8.3e+03 0.0045 0.0049 0.58 +
38 -0.43 0.37 0.14 -0.97 -0.52 -0.65 -0.9 -0.62 -0.47 -0.06 -0.43 -0.45 -0.59 2.3 8.3e+03 0.0019 0.0049 0.85 +
39 -0.44 0.37 0.14 -0.97 -0.52 -0.65 -0.9 -0.62 -0.47 -0.058 -0.43 -0.45 -0.59 2.3 8.3e+03 0.0017 0.0049 0.83 +
40 -0.44 0.38 0.15 -0.97 -0.52 -0.65 -0.9 -0.63 -0.48 -0.056 -0.43 -0.45 -0.6 2.3 8.3e+03 0.0018 0.049 0.91 ++
41 -0.44 0.38 0.15 -0.97 -0.52 -0.65 -0.9 -0.63 -0.48 -0.056 -0.43 -0.45 -0.6 2.3 8.3e+03 0.0018 0.024 -1.5 -
42 -0.44 0.38 0.15 -0.97 -0.52 -0.65 -0.9 -0.63 -0.48 -0.056 -0.43 -0.45 -0.6 2.3 8.3e+03 0.0018 0.012 -0.31 -
43 -0.45 0.39 0.16 -0.97 -0.53 -0.66 -0.9 -0.64 -0.48 -0.051 -0.44 -0.44 -0.6 2.2 8.3e+03 0.0049 0.012 0.29 +
44 -0.46 0.39 0.16 -0.97 -0.53 -0.66 -0.9 -0.64 -0.49 -0.048 -0.45 -0.44 -0.61 2.2 8.3e+03 0.0066 0.012 0.26 +
45 -0.46 0.39 0.16 -0.97 -0.53 -0.66 -0.9 -0.64 -0.49 -0.048 -0.45 -0.44 -0.61 2.2 8.3e+03 0.0066 0.0061 -3.8 -
46 -0.46 0.39 0.16 -0.97 -0.53 -0.66 -0.9 -0.64 -0.49 -0.048 -0.45 -0.44 -0.61 2.2 8.3e+03 0.0066 0.0031 -0.77 -
47 -0.46 0.39 0.16 -0.97 -0.53 -0.66 -0.9 -0.65 -0.49 -0.051 -0.45 -0.45 -0.61 2.2 8.3e+03 0.005 0.0031 0.32 +
48 -0.46 0.39 0.16 -0.97 -0.53 -0.66 -0.9 -0.65 -0.49 -0.05 -0.45 -0.44 -0.61 2.2 8.3e+03 0.0017 0.0031 0.9 +
49 -0.46 0.39 0.17 -0.97 -0.53 -0.66 -0.9 -0.65 -0.49 -0.05 -0.45 -0.44 -0.61 2.2 8.3e+03 0.0015 0.0031 0.74 +
50 -0.46 0.39 0.17 -0.97 -0.53 -0.66 -0.9 -0.65 -0.49 -0.049 -0.45 -0.44 -0.61 2.2 8.3e+03 0.00092 0.031 0.97 ++
51 -0.49 0.42 0.19 -0.95 -0.55 -0.66 -0.9 -0.68 -0.51 -0.036 -0.48 -0.43 -0.63 2.2 8.3e+03 0.004 0.031 0.66 +
52 -0.52 0.42 0.21 -0.95 -0.55 -0.65 -0.89 -0.7 -0.52 -0.026 -0.49 -0.43 -0.66 2.2 8.3e+03 0.0055 0.031 0.14 +
53 -0.53 0.44 0.22 -0.95 -0.56 -0.69 -0.88 -0.72 -0.53 -0.039 -0.5 -0.42 -0.66 2.2 8.3e+03 0.0022 0.031 0.44 +
54 -0.53 0.44 0.22 -0.94 -0.58 -0.65 -0.89 -0.72 -0.53 -0.025 -0.5 -0.41 -0.66 2.2 8.3e+03 0.0029 0.031 0.27 +
55 -0.53 0.43 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.02 -0.51 -0.42 -0.68 2.2 8.3e+03 0.0011 0.031 0.37 +
56 -0.53 0.43 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.02 -0.51 -0.42 -0.68 2.2 8.3e+03 0.0011 0.015 -1.6 -
57 -0.53 0.43 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.02 -0.51 -0.42 -0.68 2.2 8.3e+03 0.0011 0.0076 -0.012 -
58 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.027 -0.5 -0.41 -0.67 2.2 8.3e+03 0.0019 0.0076 0.63 +
59 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.027 -0.5 -0.41 -0.67 2.2 8.3e+03 0.0019 0.0038 -0.23 -
60 -0.53 0.44 0.23 -0.95 -0.59 -0.67 -0.88 -0.75 -0.53 -0.03 -0.5 -0.42 -0.68 2.2 8.3e+03 0.002 0.0038 0.26 +
61 -0.53 0.44 0.23 -0.95 -0.59 -0.67 -0.88 -0.75 -0.53 -0.029 -0.5 -0.41 -0.68 2.2 8.3e+03 0.00062 0.0038 0.54 +
62 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.029 -0.5 -0.41 -0.68 2.2 8.3e+03 0.00069 0.0038 0.21 +
63 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.029 -0.5 -0.41 -0.68 2.2 8.3e+03 0.00069 0.0019 -0.17 -
64 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.029 -0.5 -0.41 -0.68 2.2 8.3e+03 0.00069 0.00095 -0.93 -
65 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.029 -0.5 -0.41 -0.68 2.2 8.3e+03 0.00037 0.00095 0.47 +
66 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.029 -0.5 -0.41 -0.68 2.2 8.3e+03 0.00031 0.00095 0.71 +
67 -0.53 0.44 0.23 -0.94 -0.59 -0.67 -0.88 -0.75 -0.53 -0.029 -0.5 -0.41 -0.68 2.2 8.3e+03 0.00021 0.0095 0.93 ++
68 -0.53 0.45 0.24 -0.94 -0.6 -0.67 -0.87 -0.76 -0.53 -0.031 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00045 0.0095 0.37 +
69 -0.53 0.45 0.24 -0.94 -0.6 -0.67 -0.87 -0.76 -0.53 -0.031 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00045 0.0048 0.086 -
70 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.028 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00034 0.0048 0.32 +
71 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.028 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00034 0.0024 0.016 -
72 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00032 0.0024 0.73 +
73 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00029 0.0024 0.42 +
74 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00012 0.0024 0.65 +
75 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00012 0.0012 -0.44 -
76 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00015 0.0012 0.49 +
77 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 9.7e-05 0.0012 0.72 +
78 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 0.00011 0.0012 0.4 +
79 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.77 -0.53 -0.028 -0.5 -0.41 -0.69 2.2 8.3e+03 0.0001 0.0012 0.15 +
80 -0.53 0.44 0.24 -0.94 -0.6 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 5.4e-05 0.0012 0.47 +
81 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.77 -0.53 -0.028 -0.5 -0.41 -0.69 2.2 8.3e+03 7.8e-05 0.0012 0.23 +
82 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.77 -0.53 -0.028 -0.5 -0.41 -0.69 2.2 8.3e+03 7.8e-05 0.0006 -0.65 -
83 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 6.9e-05 0.0006 0.45 +
84 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.77 -0.53 -0.029 -0.5 -0.41 -0.69 2.2 8.3e+03 4.3e-05 0.0006 0.41 +
85 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.028 -0.5 -0.41 -0.69 2.2 8.3e+03 3.5e-05 0.0006 0.62 +
86 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 3.1e-05 0.0006 0.87 +
87 -0.53 0.44 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.028 -0.5 -0.41 -0.7 2.2 8.3e+03 2e-05 0.0006 0.74 +
88 -0.54 0.45 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 4.3e-05 0.0006 0.22 +
89 -0.54 0.45 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 2.3e-05 0.0006 0.51 +
90 -0.54 0.45 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 2.3e-05 0.0003 -2.3 -
91 -0.54 0.45 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 7.5e-06 0.0003 0.8 +
92 -0.54 0.45 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 1e-05 0.0003 0.78 +
93 -0.54 0.45 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.028 -0.5 -0.41 -0.7 2.2 8.3e+03 8.8e-06 0.0003 0.7 +
94 -0.54 0.45 0.24 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.028 -0.5 -0.41 -0.7 2.2 8.3e+03 8.8e-06 0.00015 -0.89 -
95 -0.54 0.45 0.25 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 1.1e-05 0.00015 0.32 +
96 -0.54 0.45 0.25 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 7.9e-06 0.00015 0.63 +
97 -0.54 0.45 0.25 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.028 -0.5 -0.41 -0.7 2.2 8.3e+03 9.1e-06 0.00015 0.39 +
98 -0.54 0.45 0.25 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.029 -0.5 -0.41 -0.7 2.2 8.3e+03 8.9e-06 0.00015 0.68 +
99 -0.54 0.45 0.25 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.028 -0.5 -0.41 -0.7 2.2 8.3e+03 7e-06 0.00015 0.25 +
100 -0.54 0.45 0.25 -0.94 -0.61 -0.67 -0.87 -0.78 -0.53 -0.028 -0.5 -0.41 -0.7 2.2 8.3e+03 3e-06 0.00015 0.91 +
Considering neighbor 3/20 for current solution
Considering neighbor 4/20 for current solution
Attempt 28/100
Considering neighbor 0/20 for current solution
Attempt 29/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000056
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di lambda_travel_t b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -0.9 -0.02 -0.017 -0.81 -0.4 2 -0.9 -0.71 -0.43 -0.37 -0.35 -0.036 -0.56 -0.46 9.1e+03 0.089 1 0.64 +
1 -1.5 0.91 0.98 -0.59 -0.49 2.1 -0.88 0.021 -1 -0.4 -0.028 -0.69 0.14 -0.45 8.8e+03 0.14 1 0.45 +
2 -1.5 0.91 0.98 -0.59 -0.49 2.1 -0.88 0.021 -1 -0.4 -0.028 -0.69 0.14 -0.45 8.8e+03 0.14 0.5 -1.5 -
3 -1.6 0.84 0.97 -0.54 -0.49 2.2 -0.87 -0.18 -1 -0.27 0.036 -0.69 -0.36 -0.41 8.8e+03 0.058 0.5 0.14 +
4 -1.6 0.84 0.97 -0.54 -0.49 2.2 -0.87 -0.18 -1 -0.27 0.036 -0.69 -0.36 -0.41 8.8e+03 0.058 0.25 -0.02 -
5 -1.6 0.87 0.96 -0.54 -0.5 2 -0.81 -0.13 -1 -0.34 -0.053 -0.68 -0.11 -0.53 8.6e+03 0.0082 2.5 1.1 ++
6 -1.6 0.87 0.96 -0.54 -0.5 2 -0.81 -0.13 -1 -0.34 -0.053 -0.68 -0.11 -0.53 8.6e+03 0.0082 1.2 -0.81 -
7 -1.7 0.9 0.88 -0.9 -0.9 0.71 -0.99 -0.64 -1.2 -0.19 -0.077 -0.63 -0.24 -1.2 8.5e+03 0.039 1.2 0.56 +
8 -0.8 0.83 0.69 -2 -1.1 0.095 -0.86 -1.6 -0.18 0.11 -0.12 -0.61 -0.77 -1 8.4e+03 0.011 12 0.9 ++
9 -0.81 0.85 0.72 -2.1 -1 0.27 -0.88 -1.6 -0.33 0.16 -0.12 -0.62 -0.99 -0.88 8.3e+03 0.00093 1.2e+02 0.95 ++
10 -0.83 0.86 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 8.3e+03 3.7e-05 1.2e+03 1 ++
11 -0.83 0.86 0.73 -2.1 -1 0.25 -0.88 -1.5 -0.36 0.15 -0.12 -0.62 -0.96 -0.9 8.3e+03 2.5e-08 1.2e+03 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000057
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st square_tt_coef cube_tt_coef b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.5 -
1 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.25 -0.036 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.25 0.39 +
3 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.12 0.39 -
4 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.062 0.39 -
5 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.031 0.39 -
6 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.016 0.39 -
7 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.0078 -3.8 -
8 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.0039 -3.2 -
9 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.002 -2.6 -
10 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.00098 -1.9 -
11 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.00049 -1 -
12 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.7 0.00024 -0.32 -
13 -0.25 -0.25 -0.25 -0.25 -0.25 0.00024 -0.00024 -0.25 0.25 0.25 -0.25 2 9.3e+03 3.4 0.00024 0.47 +
14 -0.25 -0.25 -0.25 -0.25 -0.25 0.00046 -0.00013 -0.25 0.25 0.25 -0.25 2 9.3e+03 2.1 0.00024 0.65 +
15 -0.25 -0.25 -0.25 -0.25 -0.25 0.00067 -0.00018 -0.25 0.25 0.25 -0.25 2 9.3e+03 0.14 0.0024 1 ++
16 -0.25 -0.25 -0.25 -0.25 -0.25 0.0028 -0.00015 -0.25 0.25 0.25 -0.25 2 9.3e+03 1.9 0.024 0.99 ++
17 -0.25 -0.24 -0.25 -0.27 -0.26 0.024 -0.00036 -0.26 0.22 0.22 -0.25 2 9.2e+03 3.3 0.24 0.94 ++
18 -0.21 -0.12 -0.25 -0.47 -0.38 0.24 0.001 -0.32 -0.022 -0.011 -0.26 2 8.9e+03 10 0.24 0.2 +
19 -0.29 0.02 -0.24 -0.26 -0.32 0.063 0.00078 -0.57 0.053 -0.13 -0.26 2 8.8e+03 4.3 0.24 0.25 +
20 -0.53 -0.08 -0.24 -0.38 -0.4 0.21 -0.0014 -0.58 0.21 -0.051 -0.27 2 8.7e+03 4.9 0.24 0.28 +
21 -0.53 -0.08 -0.24 -0.38 -0.4 0.21 -0.0014 -0.58 0.21 -0.051 -0.27 2 8.7e+03 4.9 0.12 -0.33 -
22 -0.45 0.0067 -0.24 -0.36 -0.4 0.18 -0.00011 -0.59 0.092 -0.15 -0.27 2 8.5e+03 7.5 0.12 0.6 +
23 -0.47 0.13 -0.22 -0.33 -0.39 0.089 -0.00034 -0.63 0.092 -0.19 -0.29 2 8.5e+03 6.3 0.12 0.29 +
24 -0.47 0.13 -0.22 -0.33 -0.39 0.089 -0.00034 -0.63 0.092 -0.19 -0.29 2 8.5e+03 6.3 0.061 -0.91 -
25 -0.47 0.13 -0.22 -0.33 -0.39 0.089 -0.00034 -0.63 0.092 -0.19 -0.29 2 8.5e+03 6.3 0.031 -0.25 -
26 -0.47 0.13 -0.22 -0.33 -0.39 0.089 -0.00034 -0.63 0.092 -0.19 -0.29 2 8.5e+03 6.3 0.015 -0.47 -
27 -0.47 0.13 -0.22 -0.33 -0.39 0.089 -0.00034 -0.63 0.092 -0.19 -0.29 2 8.5e+03 6.3 0.0076 -0.81 -
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139 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00071 0.0027 0.97 ++
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150 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00051 4.2e-05 0.45 +
151 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00044 4.2e-05 0.86 +
152 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00044 2.1e-05 -1.1 -
153 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00044 1.1e-05 -0.53 -
154 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 9.9e-05 1.1e-05 0.48 +
155 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00015 1.1e-05 0.66 +
156 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 6.4e-05 0.00011 0.91 ++
157 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 1.6e-05 0.00011 0.54 +
158 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 1.6e-05 5.3e-05 -4.3 -
159 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 1.6e-05 2.6e-05 -1.4 -
160 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 1.6e-05 1.3e-05 -0.38 -
161 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00042 1.3e-05 0.9 +
162 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00017 1.3e-05 0.19 +
163 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 1.7e-05 0.00013 0.97 ++
164 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00012 0.0013 0.91 ++
165 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00012 9.3e-05 -54 -
166 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00012 4.6e-05 -36 -
167 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00012 2.3e-05 -14 -
168 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00012 1.2e-05 -4.4 -
169 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00012 5.8e-06 -0.87 -
170 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00013 5.8e-06 0.18 +
171 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 0.00013 2.9e-06 -3 -
172 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 1.5e-05 2.9e-06 0.62 +
173 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 1.5e-05 1.4e-06 -0.38 -
174 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 4.9e-05 1.4e-06 0.54 +
175 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 4.9e-05 7.2e-07 -0.098 -
176 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 7e-06 7.2e-07 0.79 +
177 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 7e-06 3.6e-07 -0.53 -
178 -0.57 0.49 0.29 -1.4 -0.53 -0.096 0.00016 -0.66 0.16 -0.055 -0.51 1.9 8.3e+03 5.1e-06 3.6e-07 0.45 -
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000058
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 8.9e+03 0.046 1 0.82 +
1 8.4e+03 0.022 10 1.1 ++
2 8.4e+03 0.022 0.62 0.093 -
3 8.3e+03 0.011 6.2 1.1 ++
4 8.2e+03 0.006 62 1.1 ++
5 8.2e+03 0.00045 6.2e+02 1 ++
6 8.2e+03 4.3e-06 6.2e+02 1 ++
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 15 unknown parameters [max: 50]
*** Estimate b07everything_000059
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di lambda_travel_t b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1.1e+04 0.22 0.5 -0.22 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 1 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 -0.5 1.5 9.4e+03 0.1 0.5 0.44 +
2 -0.5 -0.5 -0.5 -0.5 -0.5 1 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 -0.5 1.5 9.4e+03 0.1 0.25 -0.18 -
3 -0.25 -0.25 -0.25 -0.75 -0.75 1.2 -0.75 -0.75 -0.25 0.25 -0.75 -0.75 -0.75 -0.25 1.2 8.9e+03 0.046 0.25 0.51 +
4 -0.5 -0.25 -0.25 -1 -0.75 1.2 -0.69 -0.85 -0.25 0.24 -0.64 -0.75 -0.69 -0.23 1.4 8.9e+03 0.057 0.25 0.24 +
5 -0.4 0.00084 -0.23 -1 -0.74 1.1 -0.67 -0.91 -0.23 0.11 -0.59 -0.76 -0.71 -0.22 1.2 8.7e+03 0.022 0.25 0.8 +
6 -0.58 0.19 -0.2 -1.2 -0.74 0.92 -0.68 -1.1 -0.22 0.072 -0.34 -0.76 -0.73 -0.2 1.3 8.6e+03 0.024 0.25 0.68 +
7 -0.55 0.44 -0.16 -1.3 -0.72 0.77 -0.69 -1.2 -0.22 -0.1 -0.27 -0.77 -0.87 -0.19 1.2 8.5e+03 0.027 0.25 0.39 +
8 -0.73 0.58 -0.083 -1.6 -0.71 0.6 -0.75 -1.3 -0.25 -0.082 -0.066 -0.77 -1 -0.19 1.3 8.5e+03 0.014 0.25 0.59 +
9 -0.73 0.58 -0.083 -1.6 -0.71 0.6 -0.75 -1.3 -0.25 -0.082 -0.066 -0.77 -1 -0.19 1.3 8.5e+03 0.014 0.12 -0.46 -
10 -0.68 0.65 -0.036 -1.7 -0.7 0.55 -0.77 -1.3 -0.27 -0.019 -0.04 -0.76 -1 -0.18 1.2 8.5e+03 0.017 0.12 0.4 +
11 -0.75 0.63 0.016 -1.8 -0.7 0.52 -0.71 -1.4 -0.31 -0.1 -0.13 -0.76 -1.1 -0.18 1.1 8.5e+03 0.021 0.12 0.28 +
12 -0.75 0.63 0.016 -1.8 -0.7 0.52 -0.71 -1.4 -0.31 -0.1 -0.13 -0.76 -1.1 -0.18 1.1 8.5e+03 0.021 0.062 -1.8 -
13 -0.75 0.63 0.016 -1.8 -0.7 0.52 -0.71 -1.4 -0.31 -0.1 -0.13 -0.76 -1.1 -0.18 1.1 8.5e+03 0.021 0.031 -0.11 -
14 -0.78 0.6 0.047 -1.8 -0.73 0.49 -0.74 -1.4 -0.34 -0.069 -0.1 -0.73 -1.1 -0.15 1.1 8.4e+03 0.008 0.031 0.5 +
15 -0.75 0.63 0.078 -1.8 -0.7 0.46 -0.77 -1.4 -0.37 -0.038 -0.069 -0.7 -1.1 -0.18 1.1 8.4e+03 0.0099 0.031 0.59 +
16 -0.78 0.67 0.11 -1.9 -0.73 0.43 -0.74 -1.4 -0.4 -0.0066 -0.1 -0.67 -1.1 -0.21 1.1 8.4e+03 0.013 0.031 0.83 +
17 -0.81 0.66 0.12 -1.9 -0.73 0.43 -0.75 -1.4 -0.41 0.025 -0.085 -0.67 -1.1 -0.21 1.1 8.4e+03 0.0056 0.031 0.43 +
18 -0.79 0.69 0.13 -1.9 -0.73 0.43 -0.75 -1.4 -0.41 0.004 -0.1 -0.67 -1.1 -0.22 1 8.4e+03 0.012 0.31 0.92 ++
19 -0.84 0.72 0.18 -2.1 -0.73 0.43 -0.77 -1.5 -0.44 0.055 -0.088 -0.66 -1.2 -0.22 1 8.4e+03 0.0066 3.1 0.93 ++
20 -0.84 0.72 0.18 -2.1 -0.73 0.43 -0.77 -1.5 -0.44 0.055 -0.088 -0.66 -1.2 -0.22 1 8.4e+03 0.0066 1.6 -4.3 -
21 -0.84 0.72 0.18 -2.1 -0.73 0.43 -0.77 -1.5 -0.44 0.055 -0.088 -0.66 -1.2 -0.22 1 8.4e+03 0.0066 0.78 -2.4 -
22 -0.84 0.72 0.18 -2.1 -0.73 0.43 -0.77 -1.5 -0.44 0.055 -0.088 -0.66 -1.2 -0.22 1 8.4e+03 0.0066 0.39 -0.56 -
23 -0.84 0.72 0.18 -2.1 -0.73 0.43 -0.77 -1.5 -0.44 0.055 -0.088 -0.66 -1.2 -0.22 1 8.4e+03 0.0066 0.2 0.091 -
24 -0.87 0.82 0.27 -2.3 -0.73 0.36 -0.77 -1.6 -0.49 0.019 -0.14 -0.66 -1.3 -0.22 1 8.4e+03 0.015 0.2 0.31 +
25 -0.87 0.82 0.27 -2.3 -0.73 0.36 -0.77 -1.6 -0.49 0.019 -0.14 -0.66 -1.3 -0.22 1 8.4e+03 0.015 0.098 0.081 -
26 -0.83 0.88 0.3 -2.3 -0.73 0.32 -0.81 -1.5 -0.49 0.12 -0.077 -0.66 -1.3 -0.22 1 8.4e+03 0.0073 0.098 0.48 +
27 -0.85 0.85 0.39 -2.4 -0.73 0.23 -0.75 -1.6 -0.54 0.12 -0.046 -0.66 -1.4 -0.22 1 8.4e+03 0.0038 0.098 0.57 +
28 -0.82 0.88 0.45 -2.5 -0.73 0.3 -0.82 -1.6 -0.56 0.14 -0.11 -0.66 -1.4 -0.22 1 8.4e+03 0.0066 0.098 0.2 +
29 -0.82 0.88 0.51 -2.5 -0.73 0.22 -0.79 -1.7 -0.59 0.14 -0.14 -0.65 -1.4 -0.21 1 8.4e+03 0.0071 0.098 0.22 +
30 -0.82 0.88 0.51 -2.5 -0.73 0.22 -0.79 -1.7 -0.59 0.14 -0.14 -0.65 -1.4 -0.21 1 8.4e+03 0.0071 0.049 0.081 -
31 -0.79 0.89 0.52 -2.5 -0.73 0.25 -0.78 -1.6 -0.58 0.15 -0.11 -0.65 -1.4 -0.22 1 8.4e+03 0.0025 0.049 0.7 +
32 -0.79 0.89 0.52 -2.5 -0.73 0.25 -0.78 -1.6 -0.58 0.15 -0.11 -0.65 -1.4 -0.22 1 8.4e+03 0.0025 0.024 -1.3 -
33 -0.82 0.87 0.53 -2.5 -0.73 0.24 -0.78 -1.6 -0.59 0.15 -0.1 -0.65 -1.4 -0.22 1 8.4e+03 0.0024 0.024 0.24 +
34 -0.8 0.88 0.55 -2.5 -0.73 0.23 -0.79 -1.6 -0.59 0.15 -0.094 -0.65 -1.4 -0.22 1 8.4e+03 0.0015 0.024 0.68 +
35 -0.81 0.88 0.58 -2.5 -0.73 0.24 -0.77 -1.6 -0.59 0.14 -0.098 -0.65 -1.4 -0.22 1 8.4e+03 0.0011 0.024 0.38 +
36 -0.8 0.88 0.6 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.64 -1.4 -0.22 1 8.4e+03 0.0018 0.024 0.35 +
37 -0.8 0.88 0.6 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.64 -1.4 -0.22 1 8.4e+03 0.0018 0.012 -0.88 -
38 -0.8 0.88 0.61 -2.5 -0.73 0.23 -0.79 -1.6 -0.6 0.15 -0.099 -0.64 -1.4 -0.22 1 8.4e+03 0.00074 0.012 0.77 +
39 -0.8 0.88 0.62 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.1 -0.64 -1.4 -0.22 1 8.4e+03 0.00042 0.012 0.81 +
40 -0.8 0.88 0.62 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.1 -0.64 -1.4 -0.22 1 8.4e+03 0.00042 0.0061 -0.048 -
41 -0.8 0.89 0.63 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.64 -1.4 -0.22 1 8.4e+03 0.00077 0.0061 0.11 +
42 -0.8 0.88 0.63 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.099 -0.64 -1.4 -0.22 1 8.4e+03 0.00038 0.0061 0.85 +
43 -0.8 0.89 0.64 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.1 -0.64 -1.4 -0.22 1 8.4e+03 0.00039 0.0061 0.84 +
44 -0.8 0.89 0.65 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.64 -1.4 -0.22 1 8.4e+03 0.00034 0.061 0.92 ++
45 -0.8 0.9 0.71 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.62 -1.4 -0.22 1 8.4e+03 0.00095 0.061 0.57 +
46 -0.8 0.9 0.71 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.62 -1.4 -0.22 1 8.4e+03 0.00095 0.031 -0.41 -
47 -0.8 0.9 0.71 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.62 -1.4 -0.22 1 8.4e+03 0.00095 0.015 -0.094 -
48 -0.8 0.9 0.71 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.62 -1.4 -0.22 1 8.4e+03 0.00095 0.0076 -0.0099 -
49 -0.81 0.89 0.71 -2.5 -0.73 0.22 -0.78 -1.6 -0.61 0.15 -0.1 -0.62 -1.4 -0.22 1 8.4e+03 0.00062 0.0076 0.43 +
50 -0.81 0.9 0.72 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.099 -0.62 -1.4 -0.22 1 8.4e+03 0.00017 0.0076 0.9 +
51 -0.81 0.9 0.72 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.1 -0.61 -1.4 -0.22 1 8.4e+03 0.00034 0.0076 0.47 +
52 -0.81 0.9 0.73 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.099 -0.61 -1.4 -0.22 1 8.4e+03 0.00023 0.0076 0.69 +
53 -0.81 0.9 0.73 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.099 -0.61 -1.4 -0.22 1 8.4e+03 0.00023 0.0038 -0.38 -
54 -0.82 0.9 0.73 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.099 -0.6 -1.4 -0.22 1 8.4e+03 0.00013 0.0038 0.72 +
55 -0.82 0.9 0.74 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.098 -0.6 -1.4 -0.21 1 8.4e+03 0.00015 0.0038 0.73 +
56 -0.82 0.9 0.74 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.099 -0.6 -1.4 -0.21 1 8.4e+03 0.00026 0.0038 0.52 +
57 -0.82 0.9 0.74 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.099 -0.6 -1.4 -0.21 1 8.4e+03 0.00026 0.0019 -0.2 -
58 -0.82 0.9 0.74 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.098 -0.6 -1.4 -0.21 1 8.4e+03 0.00012 0.0019 0.63 +
59 -0.82 0.9 0.75 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.098 -0.6 -1.4 -0.21 1 8.4e+03 9.6e-05 0.0019 0.82 +
60 -0.82 0.9 0.75 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.098 -0.59 -1.4 -0.21 1 8.4e+03 8.3e-05 0.019 0.92 ++
61 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.098 -0.57 -1.4 -0.21 1 8.4e+03 0.00039 0.019 0.18 +
62 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.098 -0.57 -1.4 -0.21 1 8.4e+03 0.00039 0.0095 -4.6 -
63 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.098 -0.57 -1.4 -0.21 1 8.4e+03 0.00039 0.0048 -0.61 -
64 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.78 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 0.00019 0.0048 0.52 +
65 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 0.00016 0.0048 0.28 +
66 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 0.00016 0.0024 -4.4 -
67 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 9e-05 0.0024 0.47 +
68 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 9e-05 0.0012 -1.5 -
69 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 8.5e-05 0.0012 0.29 +
70 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 2.8e-05 0.012 0.95 ++
71 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 2.8e-05 0.006 -0.97 -
72 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 2.8e-05 0.003 -0.17 -
73 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 4.6e-05 0.003 0.53 +
74 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 4.6e-05 0.0015 -0.33 -
75 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 3.6e-05 0.0015 0.51 +
76 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 3.6e-05 0.00075 -2.9 -
77 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 3.6e-05 0.00037 -0.05 -
78 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 1.8e-05 0.00037 0.63 +
79 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 2.8e-05 0.00037 0.29 +
80 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 2.8e-05 0.00019 -0.065 -
81 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.57 -1.4 -0.21 1 8.4e+03 7.7e-06 0.00019 0.64 +
82 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 8.5e-06 0.00019 0.89 +
83 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 6.7e-06 0.0019 0.92 ++
84 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 2e-05 0.0019 0.11 +
85 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 2e-05 0.00093 -1.8 -
86 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 2e-05 0.00047 -1 -
87 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 2e-05 0.00023 -0.13 -
88 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 1.3e-05 0.00023 0.5 +
89 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 1.3e-05 0.00012 -0.096 -
90 -0.82 0.91 0.77 -2.5 -0.73 0.22 -0.79 -1.6 -0.6 0.15 -0.097 -0.56 -1.4 -0.21 1 8.4e+03 4.5e-06 0.00012 0.69 -
Considering neighbor 3/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000060
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di square_tt_coef cube_tt_coef b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.87 -
1 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.47 -
2 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.036 -
3 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.12 0.37 +
4 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.062 0.37 -
5 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.031 -3 -
6 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.016 -1.4 -
7 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.0078 -0.93 -
8 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.0039 -0.64 -
9 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.002 -0.31 -
10 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.7e+03 4.2 0.00098 0.054 -
11 -0.13 -0.13 -0.13 -0.00098 -0.00098 -0.13 0.13 0.13 0.12 0.12 0.12 1.9 9.6e+03 1 0.00098 0.37 +
12 -0.13 -0.13 -0.13 -0.0013 -0.00076 -0.13 0.13 0.13 0.12 0.12 0.12 1.9 9.6e+03 0.54 0.0098 1.1 ++
13 -0.13 -0.13 -0.13 -0.0046 -0.00047 -0.13 0.13 0.13 0.12 0.11 0.12 1.9 9.6e+03 0.23 0.098 0.97 ++
14 -0.13 -0.15 -0.13 -0.035 -0.0052 -0.15 0.17 0.15 0.066 0.016 0.051 1.9 9.5e+03 4.9 0.098 0.28 +
15 -0.13 -0.15 -0.13 -0.035 -0.0052 -0.15 0.17 0.15 0.066 0.016 0.051 1.9 9.5e+03 4.9 0.049 0.049 -
16 -0.14 -0.17 -0.13 -0.048 0.0072 -0.16 0.19 0.16 0.04 -0.033 0.018 1.9 9.3e+03 1.4 0.049 0.32 +
17 -0.17 -0.21 -0.15 -0.029 0.0056 -0.18 0.18 0.15 0.041 -0.0079 0.0077 1.9 9.2e+03 1 0.049 0.85 +
18 -0.17 -0.21 -0.15 -0.029 0.0056 -0.18 0.18 0.15 0.041 -0.0079 0.0077 1.9 9.2e+03 1 0.024 -12 -
19 -0.17 -0.21 -0.15 -0.029 0.0056 -0.18 0.18 0.15 0.041 -0.0079 0.0077 1.9 9.2e+03 1 0.012 -5.3 -
20 -0.17 -0.21 -0.15 -0.029 0.0056 -0.18 0.18 0.15 0.041 -0.0079 0.0077 1.9 9.2e+03 1 0.0061 -2 -
21 -0.17 -0.22 -0.15 -0.032 -0.00055 -0.19 0.18 0.15 0.035 -0.014 0.0016 1.9 9.1e+03 0.33 0.0061 0.88 +
22 -0.18 -0.23 -0.16 -0.03 0.00091 -0.19 0.18 0.15 0.032 -0.018 -0.0024 1.9 9.1e+03 0.73 0.0061 0.49 +
23 -0.18 -0.23 -0.16 -0.027 -0.00024 -0.2 0.18 0.15 0.03 -0.023 -0.0063 1.9 9.1e+03 0.13 0.061 1.1 ++
24 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.061 0.8 +
25 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.031 0.053 -
26 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.015 -0.054 -
27 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.0076 -0.34 -
28 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.0038 -0.78 -
29 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.0019 -1.3 -
30 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.00095 -1.7 -
31 -0.2 -0.29 -0.18 -0.0018 -0.00052 -0.25 0.17 0.14 0.0034 -0.08 -0.046 1.9 9e+03 1 0.00048 -0.53 -
32 -0.2 -0.29 -0.18 -0.0013 -4.4e-05 -0.26 0.17 0.14 0.003 -0.08 -0.046 1.9 9e+03 0.98 0.00048 0.32 +
33 -0.2 -0.29 -0.18 -0.0013 -0.00028 -0.26 0.17 0.14 0.0029 -0.08 -0.046 1.9 9e+03 0.2 0.00048 0.87 +
34 -0.2 -0.3 -0.18 -0.0013 -0.00023 -0.26 0.17 0.14 0.0028 -0.08 -0.046 1.9 9e+03 0.05 0.0048 1 ++
35 -0.2 -0.3 -0.18 -0.001 -0.00032 -0.26 0.17 0.14 0.002 -0.083 -0.048 2 9e+03 0.45 0.048 0.99 ++
36 -0.2 -0.33 -0.18 0.0014 -3.2e-05 -0.31 0.13 0.11 -0.0062 -0.11 -0.064 2 8.9e+03 1.4 0.48 0.94 ++
37 -0.22 -0.6 -0.23 0.068 -0.0024 -0.79 -0.3 -0.19 -0.078 -0.29 -0.22 2.1 8.7e+03 18 0.48 0.23 +
38 -0.22 -0.6 -0.23 0.068 -0.0024 -0.79 -0.3 -0.19 -0.078 -0.29 -0.22 2.1 8.7e+03 18 0.24 -0.84 -
39 -0.16 -0.55 -0.2 0.31 -0.0012 -0.73 -0.35 -0.2 -0.18 -0.34 -0.33 2.1 8.6e+03 7.8 0.24 0.31 +
40 -0.16 -0.55 -0.2 0.31 -0.0012 -0.73 -0.35 -0.2 -0.18 -0.34 -0.33 2.1 8.6e+03 7.8 0.12 -1.7 -
41 -0.16 -0.55 -0.2 0.31 -0.0012 -0.73 -0.35 -0.2 -0.18 -0.34 -0.33 2.1 8.6e+03 7.8 0.06 0.095 -
42 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.06 0.67 +
43 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.03 -0.92 -
44 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.015 -0.38 -
45 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.0075 -0.27 -
46 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.0037 -0.37 -
47 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.0019 -0.58 -
48 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.00093 -0.81 -
49 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.00047 -0.99 -
50 -0.17 -0.56 -0.21 0.28 -0.0016 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 3.1 0.00023 -1.1 -
51 -0.17 -0.56 -0.21 0.28 -0.0013 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 2.7 0.00023 0.68 +
52 -0.17 -0.56 -0.21 0.28 -0.0013 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 2.7 0.00012 0.098 -
53 -0.17 -0.56 -0.21 0.28 -0.0013 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 2.7 5.8e-05 0.025 -
54 -0.17 -0.56 -0.21 0.28 -0.0014 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 0.51 5.8e-05 0.53 +
55 -0.17 -0.56 -0.21 0.28 -0.0014 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 0.11 0.00058 1.1 ++
56 -0.17 -0.56 -0.21 0.28 -0.0014 -0.73 -0.38 -0.22 -0.16 -0.28 -0.29 2.1 8.5e+03 0.041 0.0058 0.99 ++
57 -0.16 -0.55 -0.21 0.28 -0.0015 -0.73 -0.38 -0.22 -0.17 -0.28 -0.29 2.1 8.4e+03 2.5 0.0058 0.64 +
58 -0.16 -0.54 -0.21 0.27 -0.0014 -0.73 -0.38 -0.23 -0.17 -0.28 -0.29 2.1 8.4e+03 0.21 0.058 1.1 ++
59 -0.16 -0.54 -0.21 0.27 -0.0014 -0.73 -0.38 -0.23 -0.17 -0.28 -0.29 2.1 8.4e+03 0.21 0.029 0.073 -
60 -0.16 -0.53 -0.24 0.24 -0.0012 -0.72 -0.4 -0.25 -0.19 -0.28 -0.27 2.1 8.4e+03 0.12 0.029 0.8 +
61 -0.17 -0.55 -0.26 0.24 -0.0012 -0.71 -0.4 -0.25 -0.22 -0.3 -0.28 2.1 8.4e+03 1.3 0.029 0.46 +
62 -0.17 -0.54 -0.27 0.21 -0.0011 -0.69 -0.42 -0.28 -0.24 -0.29 -0.28 2.1 8.4e+03 0.2 0.029 0.83 +
63 -0.19 -0.57 -0.28 0.21 -0.0011 -0.66 -0.43 -0.29 -0.27 -0.29 -0.3 2.1 8.4e+03 1 0.029 0.8 +
64 -0.2 -0.56 -0.29 0.18 -0.00097 -0.66 -0.46 -0.32 -0.29 -0.29 -0.31 2.1 8.4e+03 1.1 0.029 0.77 +
65 -0.22 -0.59 -0.31 0.18 -0.00095 -0.65 -0.47 -0.34 -0.32 -0.31 -0.33 2.1 8.4e+03 1.1 0.29 0.91 ++
66 -0.22 -0.59 -0.31 0.18 -0.00095 -0.65 -0.47 -0.34 -0.32 -0.31 -0.33 2.1 8.4e+03 1.1 0.15 -0.42 -
67 -0.29 -0.64 -0.4 0.067 -0.00053 -0.61 -0.62 -0.47 -0.45 -0.34 -0.43 2.2 8.4e+03 0.78 0.15 0.55 +
68 -0.29 -0.64 -0.4 0.067 -0.00053 -0.61 -0.62 -0.47 -0.45 -0.34 -0.43 2.2 8.4e+03 0.78 0.073 -0.99 -
69 -0.32 -0.63 -0.42 0.1 -0.00067 -0.62 -0.69 -0.52 -0.42 -0.34 -0.43 2.2 8.4e+03 0.021 0.073 0.28 +
70 -0.35 -0.71 -0.43 0.032 -0.00037 -0.63 -0.66 -0.5 -0.44 -0.33 -0.47 2.2 8.4e+03 0.16 0.073 0.76 +
71 -0.35 -0.71 -0.43 0.032 -0.00037 -0.63 -0.66 -0.5 -0.44 -0.33 -0.47 2.2 8.4e+03 0.16 0.036 -1.8 -
72 -0.35 -0.71 -0.43 0.032 -0.00037 -0.63 -0.66 -0.5 -0.44 -0.33 -0.47 2.2 8.4e+03 0.16 0.018 0.055 -
73 -0.34 -0.7 -0.43 0.034 -0.00037 -0.63 -0.66 -0.5 -0.45 -0.35 -0.48 2.2 8.4e+03 0.82 0.018 0.6 +
74 -0.33 -0.72 -0.44 0.042 -0.00042 -0.64 -0.68 -0.51 -0.46 -0.35 -0.48 2.3 8.3e+03 0.7 0.018 0.77 +
75 -0.32 -0.73 -0.45 0.025 -0.00034 -0.65 -0.7 -0.52 -0.46 -0.36 -0.49 2.3 8.3e+03 0.19 0.018 0.83 +
76 -0.32 -0.75 -0.46 0.031 -0.00035 -0.65 -0.71 -0.52 -0.47 -0.37 -0.5 2.3 8.3e+03 2.2 0.018 0.75 +
77 -0.31 -0.76 -0.46 0.015 -0.00029 -0.65 -0.72 -0.53 -0.46 -0.37 -0.5 2.3 8.3e+03 1.3 0.18 0.94 ++
78 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 1.8 1.2 ++
79 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.91 -2.7e+02 -
80 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.45 -88 -
81 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.23 -22 -
82 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.11 -6.5 -
83 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.057 -2 -
84 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.028 -1.5 -
85 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.014 -1.4 -
86 -0.25 -0.94 -0.54 -0.033 -0.00012 -0.65 -0.87 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 2.8 0.0071 -0.33 -
87 -0.25 -0.94 -0.54 -0.04 -4.3e-05 -0.65 -0.88 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 5.9 0.0071 0.14 +
88 -0.25 -0.94 -0.54 -0.044 -7.9e-05 -0.65 -0.89 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 3.7 0.0071 0.34 +
89 -0.25 -0.95 -0.54 -0.037 -9.3e-05 -0.65 -0.89 -0.59 -0.51 -0.44 -0.6 2.3 8.3e+03 1.3 0.0071 0.7 +
90 -0.24 -0.95 -0.55 -0.041 -5.9e-05 -0.65 -0.89 -0.6 -0.51 -0.45 -0.6 2.4 8.3e+03 1.8 0.0071 0.85 +
91 -0.24 -0.96 -0.55 -0.038 -8.1e-05 -0.65 -0.9 -0.6 -0.51 -0.45 -0.6 2.4 8.3e+03 0.086 0.071 0.99 ++
92 -0.22 -1 -0.57 -0.051 -2.9e-05 -0.64 -0.97 -0.63 -0.51 -0.51 -0.62 2.4 8.3e+03 0.6 0.71 1 ++
93 -0.22 -1 -0.57 -0.051 -2.9e-05 -0.64 -0.97 -0.63 -0.51 -0.51 -0.62 2.4 8.3e+03 0.6 0.36 -28 -
94 -0.22 -1 -0.57 -0.051 -2.9e-05 -0.64 -0.97 -0.63 -0.51 -0.51 -0.62 2.4 8.3e+03 0.6 0.18 -13 -
95 -0.22 -1 -0.57 -0.051 -2.9e-05 -0.64 -0.97 -0.63 -0.51 -0.51 -0.62 2.4 8.3e+03 0.6 0.089 -1.9 -
96 -0.22 -1 -0.57 -0.051 -2.9e-05 -0.64 -0.97 -0.63 -0.51 -0.51 -0.62 2.4 8.3e+03 0.6 0.044 -0.3 -
97 -0.22 -1.1 -0.58 -0.072 7.2e-05 -0.64 -0.99 -0.64 -0.51 -0.52 -0.63 2.4 8.3e+03 1.9 0.044 0.4 +
98 -0.19 -1.1 -0.59 -0.063 -5.2e-06 -0.64 -1 -0.66 -0.52 -0.55 -0.65 2.4 8.3e+03 7 0.44 0.9 ++
99 -0.19 -1.1 -0.59 -0.063 -5.2e-06 -0.64 -1 -0.66 -0.52 -0.55 -0.65 2.4 8.3e+03 7 0.22 -11 -
100 -0.19 -1.1 -0.59 -0.063 -5.2e-06 -0.64 -1 -0.66 -0.52 -0.55 -0.65 2.4 8.3e+03 7 0.11 -1.4 -
101 -0.18 -1.2 -0.63 -0.1 0.00019 -0.64 -1.1 -0.67 -0.52 -0.59 -0.68 2.4 8.3e+03 0.19 0.11 0.39 +
102 -0.11 -1.3 -0.63 -0.08 0.0001 -0.65 -1.2 -0.71 -0.54 -0.65 -0.71 2.5 8.3e+03 4.4 0.11 0.68 +
103 -0.11 -1.3 -0.63 -0.08 0.0001 -0.65 -1.2 -0.71 -0.54 -0.65 -0.71 2.5 8.3e+03 4.4 0.056 -0.098 -
104 -0.11 -1.3 -0.66 -0.09 0.00014 -0.63 -1.2 -0.71 -0.54 -0.69 -0.7 2.5 8.3e+03 1.7 0.56 0.93 ++
105 -0.11 -1.3 -0.66 -0.09 0.00014 -0.63 -1.2 -0.71 -0.54 -0.69 -0.7 2.5 8.3e+03 1.7 0.28 -15 -
106 -0.11 -1.3 -0.66 -0.09 0.00014 -0.63 -1.2 -0.71 -0.54 -0.69 -0.7 2.5 8.3e+03 1.7 0.14 -8.1 -
107 -0.11 -1.3 -0.66 -0.09 0.00014 -0.63 -1.2 -0.71 -0.54 -0.69 -0.7 2.5 8.3e+03 1.7 0.069 -4 -
108 -0.11 -1.3 -0.66 -0.09 0.00014 -0.63 -1.2 -0.71 -0.54 -0.69 -0.7 2.5 8.3e+03 1.7 0.035 -1.5 -
109 -0.11 -1.3 -0.66 -0.09 0.00014 -0.63 -1.2 -0.71 -0.54 -0.69 -0.7 2.5 8.3e+03 1.7 0.017 -1.3 -
110 -0.11 -1.3 -0.66 -0.09 0.00014 -0.63 -1.2 -0.71 -0.54 -0.69 -0.7 2.5 8.3e+03 1.7 0.0087 -0.59 -
111 -0.11 -1.3 -0.66 -0.091 0.00015 -0.63 -1.2 -0.71 -0.53 -0.68 -0.7 2.5 8.3e+03 3.9 0.0087 0.35 +
112 -0.1 -1.3 -0.65 -0.091 0.00014 -0.63 -1.2 -0.71 -0.53 -0.69 -0.7 2.5 8.3e+03 4.4 0.0087 0.72 +
113 -0.1 -1.3 -0.65 -0.09 0.00014 -0.63 -1.3 -0.71 -0.53 -0.69 -0.71 2.5 8.3e+03 1.7 0.0087 0.87 +
114 -0.1 -1.3 -0.65 -0.093 0.00016 -0.63 -1.3 -0.72 -0.53 -0.69 -0.71 2.5 8.3e+03 0.32 0.0087 0.64 +
115 -0.095 -1.3 -0.65 -0.094 0.00016 -0.63 -1.3 -0.72 -0.53 -0.7 -0.71 2.5 8.3e+03 1.3 0.0087 0.7 +
116 -0.093 -1.3 -0.65 -0.092 0.00015 -0.64 -1.3 -0.72 -0.53 -0.7 -0.71 2.5 8.3e+03 0.12 0.087 0.94 ++
117 -0.068 -1.4 -0.68 -0.1 0.0002 -0.64 -1.3 -0.72 -0.54 -0.76 -0.73 2.5 8.3e+03 7.7 0.087 0.71 +
118 -0.032 -1.5 -0.68 -0.1 0.00021 -0.65 -1.4 -0.74 -0.52 -0.78 -0.74 2.5 8.3e+03 3.1 0.087 0.3 +
119 -0.016 -1.6 -0.65 -0.1 0.00021 -0.61 -1.5 -0.73 -0.55 -0.85 -0.7 2.4 8.3e+03 2.8 0.087 0.56 +
120 -0.016 -1.6 -0.65 -0.1 0.00021 -0.61 -1.5 -0.73 -0.55 -0.85 -0.7 2.4 8.3e+03 2.8 0.043 -1.9 -
121 -0.016 -1.6 -0.65 -0.1 0.00021 -0.61 -1.5 -0.73 -0.55 -0.85 -0.7 2.4 8.3e+03 2.8 0.022 -0.34 -
122 -0.011 -1.6 -0.65 -0.097 0.00016 -0.63 -1.5 -0.73 -0.54 -0.85 -0.7 2.4 8.3e+03 3.5 0.022 0.17 +
123 -0.014 -1.6 -0.66 -0.1 0.0002 -0.65 -1.5 -0.71 -0.54 -0.85 -0.71 2.4 8.3e+03 3.7 0.022 0.72 +
124 0.0016 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.71 -0.53 -0.85 -0.71 2.4 8.3e+03 3.7 0.022 0.26 +
125 0.0016 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.71 -0.53 -0.85 -0.71 2.4 8.3e+03 3.7 0.011 -0.14 -
126 -0.0021 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.7 -0.53 -0.86 -0.72 2.4 8.3e+03 3 0.011 0.23 +
127 0.0025 -1.6 -0.66 -0.1 0.0002 -0.65 -1.5 -0.7 -0.53 -0.86 -0.72 2.4 8.3e+03 3.6 0.011 0.58 +
128 0.0058 -1.6 -0.67 -0.1 0.0002 -0.66 -1.5 -0.69 -0.53 -0.87 -0.72 2.4 8.3e+03 0.53 0.011 0.84 +
129 0.011 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.69 -0.53 -0.87 -0.72 2.4 8.3e+03 0.94 0.011 0.7 +
130 0.0096 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.69 -0.53 -0.88 -0.72 2.4 8.3e+03 0.32 0.011 0.67 +
131 0.016 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.69 -0.53 -0.88 -0.71 2.4 8.3e+03 1 0.011 0.82 +
132 0.017 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.68 -0.53 -0.89 -0.71 2.4 8.3e+03 0.51 0.11 0.92 ++
133 0.017 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.68 -0.53 -0.89 -0.71 2.4 8.3e+03 0.51 0.054 -0.95 -
134 0.017 -1.6 -0.66 -0.1 0.0002 -0.66 -1.5 -0.68 -0.53 -0.89 -0.71 2.4 8.3e+03 0.51 0.027 -0.05 -
135 0.028 -1.7 -0.65 -0.1 0.0002 -0.66 -1.6 -0.68 -0.52 -0.9 -0.71 2.3 8.3e+03 1.9 0.027 0.38 +
136 0.042 -1.7 -0.66 -0.11 0.0002 -0.67 -1.6 -0.66 -0.53 -0.92 -0.68 2.3 8.3e+03 3.4 0.027 0.19 +
137 0.042 -1.7 -0.66 -0.11 0.0002 -0.67 -1.6 -0.66 -0.53 -0.92 -0.68 2.3 8.3e+03 3.4 0.014 -1.6 -
138 0.042 -1.7 -0.66 -0.11 0.0002 -0.67 -1.6 -0.66 -0.53 -0.92 -0.68 2.3 8.3e+03 3.4 0.0068 -0.47 -
139 0.043 -1.7 -0.66 -0.1 0.0002 -0.67 -1.6 -0.66 -0.53 -0.93 -0.69 2.3 8.3e+03 0.43 0.0068 0.48 +
140 0.041 -1.7 -0.65 -0.1 0.00021 -0.67 -1.6 -0.66 -0.52 -0.93 -0.7 2.3 8.3e+03 0.37 0.068 0.94 ++
141 0.041 -1.7 -0.65 -0.1 0.00021 -0.67 -1.6 -0.66 -0.52 -0.93 -0.7 2.3 8.3e+03 0.37 0.034 -2.1 -
142 0.041 -1.7 -0.65 -0.1 0.00021 -0.67 -1.6 -0.66 -0.52 -0.93 -0.7 2.3 8.3e+03 0.37 0.017 -0.68 -
143 0.041 -1.7 -0.65 -0.1 0.00021 -0.67 -1.6 -0.66 -0.52 -0.93 -0.7 2.3 8.3e+03 0.37 0.0085 -0.25 -
144 0.044 -1.7 -0.64 -0.1 0.0002 -0.67 -1.6 -0.66 -0.52 -0.93 -0.7 2.3 8.3e+03 0.89 0.0085 0.53 +
145 0.044 -1.7 -0.64 -0.11 0.00021 -0.67 -1.6 -0.65 -0.52 -0.94 -0.69 2.3 8.3e+03 0.81 0.0085 0.61 +
146 0.048 -1.7 -0.64 -0.1 0.00021 -0.67 -1.6 -0.65 -0.52 -0.94 -0.69 2.3 8.3e+03 0.17 0.0085 0.67 +
147 0.05 -1.7 -0.63 -0.1 0.00021 -0.67 -1.6 -0.64 -0.52 -0.94 -0.69 2.3 8.3e+03 0.073 0.0085 0.74 +
148 0.053 -1.7 -0.64 -0.1 0.00021 -0.67 -1.6 -0.64 -0.52 -0.95 -0.68 2.3 8.3e+03 0.037 0.085 0.94 ++
149 0.085 -1.8 -0.59 -0.1 0.00021 -0.68 -1.7 -0.57 -0.51 -1 -0.64 2.2 8.3e+03 0.16 0.085 0.35 +
150 0.085 -1.8 -0.59 -0.1 0.00021 -0.68 -1.7 -0.57 -0.51 -1 -0.64 2.2 8.3e+03 0.16 0.042 -2.6 -
151 0.085 -1.8 -0.59 -0.1 0.00021 -0.68 -1.7 -0.57 -0.51 -1 -0.64 2.2 8.3e+03 0.16 0.021 -0.086 -
152 0.084 -1.8 -0.6 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.63 2.2 8.3e+03 0.7 0.021 0.56 +
153 0.084 -1.8 -0.6 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.63 2.2 8.3e+03 0.7 0.011 -0.68 -
154 0.081 -1.8 -0.59 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.63 2.2 8.3e+03 0.016 0.011 0.65 +
155 0.081 -1.8 -0.59 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.63 2.2 8.3e+03 0.016 0.0053 -0.44 -
156 0.082 -1.8 -0.59 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.62 2.2 8.3e+03 0.21 0.0053 0.46 +
157 0.082 -1.8 -0.59 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.62 2.2 8.3e+03 0.21 0.0026 -0.5 -
158 0.08 -1.8 -0.59 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.62 2.2 8.3e+03 0.12 0.0026 0.42 +
159 0.081 -1.8 -0.58 -0.11 0.00021 -0.68 -1.7 -0.55 -0.51 -1 -0.62 2.2 8.3e+03 0.05 0.0026 0.31 +
160 0.081 -1.8 -0.59 -0.11 0.00021 -0.68 -1.7 -0.55 -0.52 -1 -0.62 2.2 8.3e+03 0.033 0.0026 0.72 +
161 0.08 -1.8 -0.58 -0.11 0.00021 -0.68 -1.7 -0.55 -0.51 -1 -0.62 2.2 8.3e+03 0.015 0.0026 0.41 +
162 0.081 -1.8 -0.58 -0.11 0.00021 -0.68 -1.7 -0.54 -0.52 -1 -0.62 2.2 8.3e+03 0.018 0.0026 0.89 +
163 0.08 -1.8 -0.58 -0.11 0.00021 -0.68 -1.7 -0.54 -0.51 -1 -0.62 2.2 8.3e+03 0.011 0.0026 0.83 +
164 0.08 -1.8 -0.58 -0.11 0.00021 -0.68 -1.7 -0.54 -0.52 -1 -0.62 2.2 8.3e+03 0.012 0.0026 0.83 +
165 0.079 -1.8 -0.58 -0.11 0.00021 -0.68 -1.7 -0.54 -0.51 -1 -0.62 2.2 8.3e+03 0.011 0.0026 0.83 +
166 0.08 -1.8 -0.58 -0.11 0.00021 -0.68 -1.7 -0.54 -0.52 -1 -0.61 2.2 8.3e+03 0.012 0.0026 0.64 +
167 0.08 -1.8 -0.57 -0.11 0.00021 -0.68 -1.7 -0.53 -0.52 -1 -0.61 2.2 8.3e+03 0.042 0.0026 0.77 +
168 0.079 -1.8 -0.57 -0.11 0.00021 -0.68 -1.7 -0.53 -0.52 -1 -0.61 2.2 8.3e+03 0.024 0.0026 0.39 +
169 0.079 -1.8 -0.57 -0.11 0.00021 -0.68 -1.7 -0.53 -0.52 -1 -0.61 2.2 8.3e+03 0.024 0.0026 0.85 +
170 0.079 -1.8 -0.57 -0.11 0.00021 -0.68 -1.7 -0.53 -0.52 -1 -0.61 2.2 8.3e+03 0.058 0.0026 0.59 +
171 0.079 -1.8 -0.57 -0.11 0.00021 -0.68 -1.7 -0.52 -0.52 -1 -0.61 2.2 8.3e+03 0.054 0.026 0.9 ++
172 0.079 -1.8 -0.57 -0.11 0.00021 -0.68 -1.7 -0.52 -0.52 -1 -0.61 2.2 8.3e+03 0.054 0.013 -0.41 -
173 0.078 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.59 2.2 8.3e+03 0.052 0.013 0.38 +
174 0.078 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.59 2.2 8.3e+03 0.052 0.0066 -4.7 -
175 0.078 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.59 2.2 8.3e+03 0.052 0.0033 -1.8 -
176 0.078 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.59 2.2 8.3e+03 0.052 0.0017 0.034 -
177 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.067 0.0017 0.55 +
178 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.067 0.00083 -0.2 -
179 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.012 0.00083 0.73 +
180 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.012 0.00041 -0.74 -
181 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.011 0.00041 0.72 +
182 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0079 0.00041 0.6 +
183 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0078 0.00041 0.25 +
184 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.012 0.00041 0.66 +
185 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0048 0.00041 0.39 +
186 0.079 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0048 0.00021 -0.22 -
187 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0061 0.00021 0.62 +
188 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0061 0.0001 -0.84 -
189 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.001 0.0001 0.47 +
190 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.001 5.2e-05 -0.86 -
191 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0015 5.2e-05 0.44 +
192 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0015 2.6e-05 -0.052 -
193 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00085 2.6e-05 0.63 +
194 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00043 2.6e-05 0.2 +
195 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0014 2.6e-05 0.57 +
196 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0014 1.3e-05 -1.1 -
197 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.0014 6.5e-06 0.087 -
198 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 2.4e-05 6.5e-06 0.72 +
199 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00067 6.5e-06 0.33 +
200 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00013 6.5e-05 0.92 ++
201 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00013 3.2e-05 0.069 -
202 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 3.9e-05 3.2e-05 0.62 +
203 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 3.9e-05 1.6e-05 -1.9 -
204 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 3.9e-05 8.1e-06 -0.85 -
205 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 3.9e-05 4e-06 -0.12 -
206 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00021 4e-06 0.65 +
207 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00021 4e-06 0.1 +
208 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00035 4e-06 0.76 +
209 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 2.4e-05 4e-06 0.17 +
210 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00011 4e-06 0.62 +
211 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00036 4e-06 0.56 +
212 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 4.1e-05 4e-06 0.27 +
213 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00023 4e-06 0.29 +
214 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00023 2e-06 -3.9 -
215 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00023 1e-06 -0.38 -
216 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00014 1e-06 0.4 +
217 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 0.00014 5e-07 0.0037 -
218 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 1.5e-05 5e-07 0.67 +
219 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 4.3e-05 5e-07 0.32 +
220 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 4.3e-05 2.5e-07 0.082 -
221 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 1.4e-05 2.5e-07 0.66 +
222 0.08 -1.8 -0.56 -0.11 0.00021 -0.68 -1.7 -0.51 -0.52 -1 -0.6 2.2 8.3e+03 5e-08 2.5e-07 1 +
Considering neighbor 4/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000061
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 1 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.61 -
1 0 0 0 0 0 1 0 0 0 0 1.8 1.1e+04 0.28 0.25 -0.096 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 1 -0.25 0.25 0.25 -0.25 2 9.5e+03 0.15 0.25 0.37 +
3 -0.19 0 -0.25 -0.5 -0.28 1 -0.37 0 0 -0.26 2 8.9e+03 0.11 0.25 0.67 +
4 -0.44 -0.25 -0.25 -0.75 -0.31 1.1 -0.59 0.18 -0.16 -0.28 2.2 8.7e+03 0.081 0.25 0.19 +
5 -0.37 -0.005 -0.23 -0.95 -0.28 0.97 -0.64 -0.061 -0.41 -0.29 2.2 8.7e+03 0.1 0.25 0.14 +
6 -0.42 0.12 -0.21 -0.93 -0.2 0.79 -0.66 0.19 -0.25 -0.31 2.1 8.5e+03 0.017 0.25 0.77 +
7 -0.42 0.12 -0.21 -0.93 -0.2 0.79 -0.66 0.19 -0.25 -0.31 2.1 8.5e+03 0.017 0.12 0.085 -
8 -0.45 0.18 -0.18 -1.1 -0.17 0.71 -0.53 0.093 -0.23 -0.34 2.1 8.5e+03 0.024 0.12 0.49 +
9 -0.45 0.18 -0.18 -1.1 -0.17 0.71 -0.53 0.093 -0.23 -0.34 2.1 8.5e+03 0.024 0.062 -0.21 -
10 -0.51 0.22 -0.12 -1 -0.11 0.65 -0.6 0.16 -0.16 -0.4 2.2 8.4e+03 0.021 0.062 0.52 +
11 -0.46 0.29 -0.11 -1 -0.11 0.63 -0.6 0.11 -0.17 -0.41 2.2 8.4e+03 0.019 0.062 0.31 +
12 -0.49 0.28 -0.094 -1.1 -0.11 0.62 -0.58 0.12 -0.13 -0.42 2.2 8.4e+03 0.0084 0.062 0.77 +
13 -0.46 0.34 -0.069 -1.1 -0.098 0.57 -0.59 0.12 -0.095 -0.44 2.2 8.4e+03 0.0079 0.062 0.76 +
14 -0.49 0.37 -0.038 -1.2 -0.094 0.52 -0.59 0.15 -0.038 -0.46 2.2 8.4e+03 0.015 0.062 0.22 +
15 -0.49 0.41 -0.0061 -1.3 -0.094 0.48 -0.58 0.11 -0.049 -0.48 2.1 8.4e+03 0.009 0.062 0.49 +
16 -0.49 0.41 -0.0061 -1.3 -0.094 0.48 -0.58 0.11 -0.049 -0.48 2.1 8.4e+03 0.009 0.031 -1 -
17 -0.48 0.43 0.0085 -1.2 -0.092 0.47 -0.6 0.14 -0.031 -0.48 2.1 8.4e+03 0.0043 0.031 0.51 +
18 -0.48 0.43 0.0085 -1.2 -0.092 0.47 -0.6 0.14 -0.031 -0.48 2.1 8.4e+03 0.0043 0.016 -0.49 -
19 -0.49 0.42 0.023 -1.3 -0.097 0.47 -0.58 0.13 -0.035 -0.49 2.1 8.4e+03 0.0031 0.016 0.57 +
20 -0.49 0.44 0.033 -1.2 -0.097 0.47 -0.59 0.13 -0.038 -0.5 2.1 8.4e+03 0.005 0.016 0.33 +
21 -0.5 0.44 0.045 -1.2 -0.099 0.46 -0.6 0.15 -0.028 -0.5 2.1 8.4e+03 0.0042 0.016 0.45 +
22 -0.5 0.44 0.059 -1.3 -0.1 0.46 -0.59 0.13 -0.035 -0.51 2.1 8.4e+03 0.0014 0.016 0.72 +
23 -0.5 0.46 0.074 -1.3 -0.1 0.46 -0.6 0.15 -0.028 -0.51 2.1 8.4e+03 0.0031 0.016 0.65 +
24 -0.51 0.46 0.089 -1.3 -0.11 0.46 -0.6 0.14 -0.031 -0.52 2.1 8.4e+03 0.0012 0.16 0.9 ++
25 -0.51 0.46 0.089 -1.3 -0.11 0.46 -0.6 0.14 -0.031 -0.52 2.1 8.4e+03 0.0012 0.078 -0.22 -
26 -0.53 0.49 0.17 -1.3 -0.12 0.45 -0.62 0.16 -0.014 -0.55 2 8.4e+03 0.0079 0.078 0.27 +
27 -0.56 0.51 0.25 -1.3 -0.14 0.45 -0.61 0.14 -0.032 -0.57 1.9 8.4e+03 0.0047 0.078 0.49 +
28 -0.56 0.51 0.25 -1.3 -0.14 0.45 -0.61 0.14 -0.032 -0.57 1.9 8.4e+03 0.0047 0.039 -0.32 -
29 -0.58 0.54 0.28 -1.3 -0.15 0.47 -0.63 0.16 -0.031 -0.56 1.9 8.4e+03 0.0013 0.039 0.42 +
30 -0.58 0.54 0.28 -1.3 -0.15 0.47 -0.63 0.16 -0.031 -0.56 1.9 8.4e+03 0.0013 0.02 -1.6 -
31 -0.58 0.53 0.29 -1.3 -0.15 0.46 -0.61 0.15 -0.02 -0.56 1.9 8.4e+03 0.0017 0.02 0.34 +
32 -0.58 0.53 0.29 -1.3 -0.15 0.46 -0.61 0.15 -0.02 -0.56 1.9 8.4e+03 0.0017 0.0098 0.058 -
33 -0.58 0.53 0.29 -1.3 -0.15 0.45 -0.62 0.15 -0.022 -0.55 1.9 8.4e+03 0.00067 0.0098 0.79 +
34 -0.58 0.53 0.29 -1.3 -0.15 0.45 -0.62 0.15 -0.022 -0.55 1.9 8.4e+03 0.00067 0.0049 -2.1 -
35 -0.58 0.53 0.29 -1.3 -0.15 0.45 -0.62 0.15 -0.022 -0.55 1.9 8.4e+03 0.00067 0.0024 -0.1 -
36 -0.58 0.53 0.29 -1.3 -0.15 0.46 -0.62 0.15 -0.023 -0.55 1.9 8.4e+03 0.00044 0.0024 0.6 +
37 -0.58 0.53 0.29 -1.3 -0.15 0.46 -0.62 0.15 -0.023 -0.55 1.9 8.4e+03 0.00044 0.0012 -0.35 -
38 -0.58 0.53 0.29 -1.3 -0.15 0.46 -0.62 0.15 -0.024 -0.55 1.9 8.4e+03 0.00056 0.0012 0.19 +
39 -0.58 0.53 0.3 -1.3 -0.15 0.46 -0.62 0.15 -0.023 -0.55 1.9 8.4e+03 0.0002 0.012 0.96 ++
40 -0.58 0.53 0.31 -1.3 -0.16 0.46 -0.62 0.15 -0.022 -0.54 1.9 8.4e+03 0.00068 0.012 0.55 +
41 -0.58 0.54 0.32 -1.3 -0.16 0.45 -0.62 0.15 -0.018 -0.53 1.9 8.4e+03 0.00055 0.012 0.62 +
42 -0.58 0.54 0.32 -1.3 -0.16 0.45 -0.62 0.15 -0.018 -0.53 1.9 8.4e+03 0.00055 0.0061 -0.73 -
43 -0.59 0.53 0.32 -1.3 -0.16 0.45 -0.63 0.15 -0.022 -0.52 1.9 8.4e+03 0.00044 0.0061 0.28 +
44 -0.58 0.53 0.32 -1.3 -0.15 0.45 -0.62 0.15 -0.02 -0.52 1.9 8.4e+03 0.0002 0.0061 0.82 +
45 -0.58 0.53 0.33 -1.3 -0.15 0.46 -0.63 0.15 -0.02 -0.51 1.9 8.4e+03 0.00033 0.0061 0.72 +
46 -0.59 0.53 0.33 -1.3 -0.16 0.46 -0.62 0.15 -0.02 -0.51 1.9 8.4e+03 0.00064 0.0061 0.4 +
47 -0.59 0.53 0.34 -1.3 -0.15 0.45 -0.62 0.15 -0.019 -0.5 1.9 8.4e+03 0.0002 0.0061 0.71 +
48 -0.59 0.53 0.34 -1.3 -0.15 0.45 -0.62 0.15 -0.019 -0.5 1.9 8.4e+03 0.0002 0.0031 -0.94 -
49 -0.59 0.54 0.34 -1.3 -0.15 0.46 -0.63 0.15 -0.02 -0.5 1.9 8.4e+03 0.00036 0.0031 0.23 +
50 -0.59 0.54 0.34 -1.3 -0.15 0.46 -0.62 0.15 -0.019 -0.5 1.9 8.4e+03 0.00016 0.0031 0.79 +
51 -0.59 0.54 0.34 -1.3 -0.15 0.45 -0.62 0.14 -0.019 -0.49 1.9 8.4e+03 0.00031 0.0031 0.25 +
52 -0.59 0.54 0.35 -1.3 -0.15 0.46 -0.62 0.15 -0.018 -0.49 1.9 8.4e+03 8.2e-05 0.031 0.91 ++
53 -0.59 0.54 0.35 -1.3 -0.15 0.46 -0.62 0.15 -0.018 -0.49 1.9 8.4e+03 8.2e-05 0.015 -0.96 -
54 -0.59 0.54 0.35 -1.3 -0.15 0.46 -0.62 0.15 -0.018 -0.49 1.9 8.4e+03 8.2e-05 0.0076 -0.39 -
55 -0.59 0.54 0.35 -1.3 -0.15 0.46 -0.62 0.15 -0.018 -0.49 1.9 8.4e+03 8.2e-05 0.0038 -0.095 -
56 -0.59 0.54 0.35 -1.3 -0.15 0.46 -0.63 0.14 -0.019 -0.49 1.9 8.4e+03 0.00019 0.0038 0.46 +
57 -0.59 0.54 0.35 -1.3 -0.15 0.46 -0.62 0.14 -0.018 -0.48 1.9 8.4e+03 0.0002 0.0038 0.8 +
58 -0.59 0.54 0.36 -1.3 -0.15 0.46 -0.63 0.14 -0.018 -0.48 1.9 8.4e+03 0.00014 0.0038 0.81 +
59 -0.59 0.54 0.36 -1.3 -0.15 0.45 -0.62 0.14 -0.018 -0.47 1.9 8.4e+03 0.00021 0.0038 0.64 +
60 -0.59 0.54 0.36 -1.3 -0.15 0.46 -0.63 0.15 -0.018 -0.47 1.9 8.4e+03 0.00017 0.0038 0.56 +
61 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.63 0.14 -0.017 -0.47 1.9 8.4e+03 0.00018 0.0038 0.2 +
62 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.63 0.14 -0.017 -0.47 1.9 8.4e+03 0.00018 0.0019 -0.042 -
63 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.62 0.14 -0.017 -0.47 1.9 8.4e+03 0.00012 0.0019 0.66 +
64 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.62 0.14 -0.017 -0.47 1.9 8.4e+03 0.00012 0.00095 -0.37 -
65 -0.59 0.54 0.37 -1.3 -0.15 0.46 -0.62 0.14 -0.018 -0.47 1.9 8.4e+03 5.1e-05 0.00095 0.63 +
66 -0.59 0.54 0.37 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 8.2e-05 0.00095 0.56 +
67 -0.59 0.54 0.37 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 5.4e-05 0.00095 0.7 +
68 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 6.6e-05 0.00095 0.64 +
69 -0.59 0.54 0.37 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 5.9e-05 0.00095 0.7 +
70 -0.59 0.54 0.37 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 2.7e-05 0.0095 0.9 ++
71 -0.59 0.54 0.37 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 2.7e-05 0.0048 -0.077 -
72 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 5.6e-05 0.0048 0.48 +
73 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 5.6e-05 0.0024 -8.4 -
74 -0.59 0.54 0.37 -1.3 -0.15 0.45 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 5.6e-05 0.0012 -1.8 -
75 -0.59 0.54 0.37 -1.3 -0.15 0.46 -0.62 0.14 -0.016 -0.46 1.9 8.4e+03 5.9e-05 0.0012 0.11 +
76 -0.59 0.54 0.38 -1.3 -0.15 0.45 -0.63 0.14 -0.017 -0.45 1.9 8.4e+03 4.1e-05 0.0012 0.36 +
77 -0.59 0.54 0.38 -1.3 -0.15 0.45 -0.63 0.14 -0.017 -0.45 1.9 8.4e+03 4.1e-05 0.0006 -1.1 -
78 -0.59 0.54 0.38 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.45 1.9 8.4e+03 6.6e-05 0.0006 0.41 +
79 -0.59 0.54 0.38 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.45 1.9 8.4e+03 1.4e-05 0.0006 0.78 +
80 -0.59 0.54 0.38 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.45 1.9 8.4e+03 1.4e-05 0.0003 -1.3 -
81 -0.59 0.54 0.38 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.45 1.9 8.4e+03 1.4e-05 0.00015 -0.13 -
82 -0.59 0.54 0.38 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.45 1.9 8.4e+03 7.2e-06 0.00015 0.72 +
83 -0.59 0.54 0.38 -1.3 -0.15 0.46 -0.62 0.14 -0.017 -0.45 1.9 8.4e+03 4.6e-06 0.00015 0.76 +
Considering neighbor 5/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000062
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train lambda_travel_t b_cost b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 0 0 0 1 1.1e+04 0.22 0.5 -0.21 -
1 -0.5 -0.5 -0.5 -0.5 1 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 1.5 9.4e+03 0.11 0.5 0.46 +
2 -0.5 -0.5 -0.5 -0.5 1 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 1.5 9.4e+03 0.11 0.25 -0.12 -
3 -0.25 -0.25 -0.48 -0.6 1.1 -0.5 -0.55 0.25 -0.75 -0.51 -0.75 1.2 9.1e+03 0.074 0.25 0.45 +
4 -0.5 -0.32 -0.47 -0.85 1.1 -0.52 -0.64 0.27 -0.67 -0.52 -0.7 1.4 8.9e+03 0.053 0.25 0.57 +
5 -0.4 -0.066 -0.45 -0.93 1.1 -0.59 -0.74 0.12 -0.64 -0.53 -0.71 1.3 8.8e+03 0.029 0.25 0.77 +
6 -0.58 0.077 -0.42 -1.2 1.1 -0.68 -0.95 0.074 -0.45 -0.54 -0.68 1.4 8.7e+03 0.033 0.25 0.59 +
7 -0.52 0.33 -0.38 -1.2 0.96 -0.72 -1.1 -0.06 -0.35 -0.55 -0.76 1.2 8.6e+03 0.028 0.25 0.55 +
8 -0.72 0.46 -0.28 -1.4 0.77 -0.71 -1.3 -0.11 -0.1 -0.57 -0.92 1.3 8.5e+03 0.015 0.25 0.6 +
9 -0.7 0.67 -0.16 -1.7 0.61 -0.79 -1.3 0.0071 0.027 -0.58 -0.99 1.1 8.5e+03 0.02 0.25 0.21 +
10 -0.7 0.67 -0.16 -1.7 0.61 -0.79 -1.3 0.0071 0.027 -0.58 -0.99 1.1 8.5e+03 0.02 0.11 -0.48 -
11 -0.78 0.64 -0.13 -1.8 0.61 -0.74 -1.4 -0.1 -0.067 -0.58 -1.1 1.1 8.5e+03 0.011 0.11 0.78 +
12 -0.78 0.64 -0.13 -1.8 0.61 -0.74 -1.4 -0.1 -0.067 -0.58 -1.1 1.1 8.5e+03 0.011 0.055 -3.2 -
13 -0.78 0.64 -0.13 -1.8 0.61 -0.74 -1.4 -0.1 -0.067 -0.58 -1.1 1.1 8.5e+03 0.011 0.028 -1 -
14 -0.78 0.64 -0.13 -1.8 0.61 -0.74 -1.4 -0.1 -0.067 -0.58 -1.1 1.1 8.5e+03 0.011 0.014 0.024 -
15 -0.8 0.62 -0.11 -1.8 0.59 -0.76 -1.4 -0.09 -0.053 -0.59 -1.1 1.1 8.5e+03 0.0059 0.014 0.52 +
16 -0.78 0.64 -0.1 -1.8 0.58 -0.77 -1.4 -0.076 -0.039 -0.61 -1.1 1.1 8.5e+03 0.0089 0.014 0.82 +
17 -0.8 0.65 -0.087 -1.8 0.56 -0.76 -1.4 -0.062 -0.053 -0.62 -1.1 1.1 8.5e+03 0.01 0.14 0.94 ++
18 -0.94 0.65 0.052 -2 0.46 -0.83 -1.6 0.076 -0.08 -0.62 -1.2 1 8.4e+03 0.011 0.14 0.36 +
19 -0.85 0.78 0.11 -2.1 0.49 -0.83 -1.5 0.061 -0.12 -0.62 -1.2 1 8.4e+03 0.011 0.14 0.71 +
20 -0.9 0.74 0.12 -2.1 0.47 -0.79 -1.6 0.07 -0.1 -0.62 -1.2 1 8.4e+03 0.0053 0.14 0.64 +
21 -0.83 0.85 0.22 -2.3 0.36 -0.77 -1.6 0.074 -0.061 -0.62 -1.2 1 8.4e+03 0.0086 0.14 0.44 +
22 -0.87 0.83 0.31 -2.4 0.37 -0.84 -1.6 0.041 -0.079 -0.63 -1.4 1 8.4e+03 0.0055 0.14 0.35 +
23 -0.87 0.83 0.31 -2.4 0.37 -0.84 -1.6 0.041 -0.079 -0.63 -1.4 1 8.4e+03 0.0055 0.069 -0.48 -
24 -0.85 0.85 0.35 -2.4 0.31 -0.77 -1.7 0.11 -0.073 -0.62 -1.3 1 8.4e+03 0.0025 0.069 0.73 +
25 -0.85 0.85 0.35 -2.4 0.31 -0.77 -1.7 0.11 -0.073 -0.62 -1.3 1 8.4e+03 0.0025 0.035 -0.4 -
26 -0.83 0.87 0.38 -2.4 0.31 -0.8 -1.7 0.098 -0.094 -0.62 -1.4 1 8.4e+03 0.0042 0.035 0.4 +
27 -0.85 0.85 0.42 -2.5 0.31 -0.78 -1.7 0.1 -0.1 -0.62 -1.4 1 8.4e+03 0.0023 0.035 0.72 +
28 -0.82 0.87 0.45 -2.5 0.3 -0.79 -1.7 0.13 -0.097 -0.62 -1.4 1 8.4e+03 0.0017 0.035 0.69 +
29 -0.83 0.85 0.49 -2.5 0.29 -0.79 -1.7 0.12 -0.099 -0.62 -1.4 1 8.4e+03 0.0018 0.035 0.63 +
30 -0.81 0.87 0.52 -2.5 0.29 -0.79 -1.7 0.13 -0.09 -0.62 -1.4 1 8.4e+03 0.0017 0.035 0.76 +
31 -0.83 0.86 0.55 -2.5 0.29 -0.79 -1.7 0.12 -0.095 -0.62 -1.4 1 8.4e+03 0.0016 0.035 0.62 +
32 -0.81 0.87 0.59 -2.5 0.27 -0.8 -1.7 0.14 -0.094 -0.62 -1.4 1 8.4e+03 0.0019 0.035 0.24 +
33 -0.82 0.87 0.62 -2.5 0.28 -0.79 -1.7 0.13 -0.095 -0.61 -1.4 1 8.4e+03 0.0014 0.035 0.63 +
34 -0.82 0.87 0.62 -2.5 0.28 -0.79 -1.7 0.13 -0.095 -0.61 -1.4 1 8.4e+03 0.0014 0.017 -1.7 -
35 -0.82 0.87 0.62 -2.5 0.28 -0.79 -1.7 0.13 -0.095 -0.61 -1.4 1 8.4e+03 0.0014 0.0087 -0.25 -
36 -0.82 0.87 0.63 -2.5 0.28 -0.79 -1.7 0.13 -0.1 -0.61 -1.4 1 8.4e+03 0.0015 0.0087 0.38 +
37 -0.82 0.87 0.64 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.61 -1.4 1 8.4e+03 0.00045 0.087 0.91 ++
38 -0.82 0.87 0.64 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.61 -1.4 1 8.4e+03 0.00045 0.043 -1.2 -
39 -0.82 0.87 0.64 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.61 -1.4 1 8.4e+03 0.00045 0.022 -0.03 -
40 -0.82 0.88 0.66 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.61 -1.4 1 8.4e+03 0.001 0.022 0.46 +
41 -0.83 0.88 0.68 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.6 -1.4 1 8.4e+03 0.0014 0.022 0.23 +
42 -0.83 0.88 0.68 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.6 -1.4 1 8.4e+03 0.0014 0.011 -0.92 -
43 -0.83 0.88 0.69 -2.5 0.27 -0.79 -1.7 0.14 -0.097 -0.6 -1.4 1 8.4e+03 0.0011 0.011 0.47 +
44 -0.83 0.88 0.69 -2.5 0.27 -0.79 -1.7 0.14 -0.097 -0.6 -1.4 1 8.4e+03 0.0011 0.0054 -0.056 -
45 -0.82 0.89 0.69 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.6 -1.4 1 8.4e+03 0.00075 0.0054 0.23 +
46 -0.83 0.88 0.7 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.6 -1.4 1 8.4e+03 0.00027 0.054 0.98 ++
47 -0.83 0.9 0.75 -2.5 0.26 -0.79 -1.7 0.13 -0.098 -0.58 -1.4 1 8.4e+03 0.00089 0.054 0.37 +
48 -0.83 0.9 0.75 -2.5 0.26 -0.79 -1.7 0.13 -0.098 -0.58 -1.4 1 8.4e+03 0.00089 0.027 -0.47 -
49 -0.83 0.9 0.75 -2.5 0.26 -0.79 -1.7 0.13 -0.098 -0.58 -1.4 1 8.4e+03 0.00089 0.014 -0.24 -
50 -0.84 0.9 0.76 -2.5 0.28 -0.8 -1.7 0.13 -0.096 -0.58 -1.4 1 8.4e+03 0.0012 0.014 0.14 +
51 -0.85 0.9 0.77 -2.5 0.27 -0.79 -1.7 0.13 -0.099 -0.57 -1.4 1 8.4e+03 0.00095 0.014 0.23 +
52 -0.84 0.91 0.78 -2.5 0.27 -0.79 -1.7 0.13 -0.1 -0.56 -1.4 1 8.4e+03 0.00051 0.014 0.42 +
53 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.089 -0.55 -1.4 1 8.4e+03 0.00043 0.014 0.21 +
54 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.089 -0.55 -1.4 1 8.4e+03 0.00043 0.0068 -0.44 -
55 -0.85 0.91 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.55 -1.4 1 8.4e+03 0.00027 0.0068 0.56 +
56 -0.85 0.91 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.55 -1.4 1 8.4e+03 0.00027 0.0034 -0.83 -
57 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.55 -1.4 1 8.4e+03 0.00013 0.0034 0.61 +
58 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.55 -1.4 1 8.4e+03 0.00013 0.0017 0.046 -
59 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.55 -1.4 1 8.4e+03 8.5e-05 0.0017 0.5 +
60 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.55 -1.4 1 8.4e+03 8e-05 0.0017 0.7 +
61 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.55 -1.4 1 8.4e+03 6.2e-05 0.0017 0.66 +
62 -0.85 0.9 0.79 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.55 -1.4 1 8.4e+03 0.0001 0.0017 0.17 +
63 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 6.1e-05 0.0017 0.57 +
64 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 6.1e-05 0.00085 -0.37 -
65 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 7.4e-05 0.00085 0.4 +
66 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 5.4e-05 0.00085 0.57 +
67 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 3.9e-05 0.00085 0.69 +
68 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 2.6e-05 0.00085 0.73 +
69 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 1.7e-05 0.0085 0.91 ++
70 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.54 -1.4 1 8.4e+03 1.7e-05 0.0042 0.062 -
71 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.54 -1.4 1 8.4e+03 7.9e-05 0.0042 0.35 +
72 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.54 -1.4 1 8.4e+03 7.9e-05 0.0021 -0.004 -
73 -0.85 0.9 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.097 -0.53 -1.4 1 8.4e+03 4.2e-05 0.0021 0.44 +
74 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 1.4e-05 0.0021 0.69 +
75 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 1.4e-05 0.0011 -6.6 -
76 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 1.4e-05 0.00053 -2 -
77 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 1.4e-05 0.00026 -0.058 -
78 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 6.2e-06 0.0026 0.92 ++
79 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 6.2e-06 0.0013 -12 -
80 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 6.2e-06 0.00066 -7.9 -
81 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 6.2e-06 0.00033 -2.3 -
82 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 6.2e-06 0.00017 -0.58 -
83 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 6.2e-06 8.3e-05 0.033 -
84 -0.85 0.91 0.8 -2.5 0.27 -0.79 -1.7 0.13 -0.096 -0.53 -1.4 1 8.4e+03 4.2e-06 8.3e-05 0.39 -
Considering neighbor 6/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000063
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st lambda_travel_t b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 1 0 0 0 0 1 1.1e+04 0.26 0.5 -0.19 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 1 -0.5 0.5 -0.5 -0.5 1.5 9.2e+03 0.085 0.5 0.43 +
2 -0.5 -0.5 -0.5 -0.5 -0.5 1 -0.5 0.5 -0.5 -0.5 1.5 9.2e+03 0.085 0.25 -0.2 -
3 -0.25 -0.25 -0.25 -0.75 -0.75 1.2 -0.75 0.25 -0.75 -0.75 1.2 8.8e+03 0.029 0.25 0.4 +
4 -0.39 -0.12 -0.24 -0.69 -0.67 1 -0.83 0.43 -0.5 -0.75 1.3 8.7e+03 0.043 0.25 0.45 +
5 -0.49 0.078 -0.23 -0.93 -0.76 0.9 -0.78 0.18 -0.49 -0.76 1.3 8.6e+03 0.018 0.25 0.71 +
6 -0.49 0.078 -0.23 -0.93 -0.76 0.9 -0.78 0.18 -0.49 -0.76 1.3 8.6e+03 0.018 0.12 -0.41 -
7 -0.49 0.078 -0.23 -0.93 -0.76 0.9 -0.78 0.18 -0.49 -0.76 1.3 8.6e+03 0.018 0.062 0.093 -
8 -0.45 0.14 -0.21 -0.87 -0.7 0.84 -0.82 0.24 -0.42 -0.77 1.2 8.6e+03 0.022 0.062 0.32 +
9 -0.51 0.097 -0.19 -0.93 -0.76 0.81 -0.76 0.2 -0.36 -0.77 1.3 8.6e+03 0.021 0.062 0.61 +
10 -0.48 0.16 -0.17 -0.94 -0.73 0.74 -0.8 0.19 -0.33 -0.77 1.2 8.5e+03 0.012 0.062 0.85 +
11 -0.54 0.19 -0.16 -1 -0.74 0.73 -0.8 0.19 -0.31 -0.77 1.3 8.5e+03 0.016 0.062 0.81 +
12 -0.52 0.25 -0.15 -0.99 -0.73 0.71 -0.81 0.18 -0.3 -0.77 1.2 8.5e+03 0.011 0.062 0.81 +
13 -0.58 0.3 -0.13 -1.1 -0.72 0.68 -0.81 0.18 -0.27 -0.78 1.3 8.5e+03 0.011 0.062 0.83 +
14 -0.56 0.36 -0.11 -1.1 -0.71 0.66 -0.82 0.17 -0.26 -0.78 1.2 8.5e+03 0.01 0.062 0.66 +
15 -0.63 0.41 -0.086 -1.1 -0.7 0.63 -0.82 0.17 -0.23 -0.78 1.3 8.5e+03 0.0068 0.062 0.81 +
16 -0.64 0.47 -0.056 -1.1 -0.67 0.6 -0.82 0.17 -0.21 -0.78 1.2 8.5e+03 0.0083 0.062 0.67 +
17 -0.7 0.51 -0.015 -1.2 -0.66 0.58 -0.82 0.17 -0.19 -0.78 1.2 8.5e+03 0.0044 0.062 0.79 +
18 -0.74 0.57 0.046 -1.2 -0.64 0.57 -0.82 0.16 -0.18 -0.78 1.2 8.5e+03 0.0057 0.062 0.76 +
19 -0.8 0.6 0.1 -1.2 -0.63 0.56 -0.83 0.19 -0.16 -0.79 1.2 8.5e+03 0.0028 0.062 0.79 +
20 -0.85 0.63 0.17 -1.3 -0.65 0.56 -0.82 0.15 -0.18 -0.79 1.1 8.5e+03 0.0081 0.062 0.11 +
21 -0.85 0.63 0.17 -1.3 -0.65 0.56 -0.82 0.15 -0.18 -0.79 1.1 8.5e+03 0.0081 0.031 -1.3 -
22 -0.88 0.66 0.2 -1.2 -0.61 0.53 -0.85 0.19 -0.15 -0.78 1.1 8.5e+03 0.0073 0.031 0.4 +
23 -0.91 0.65 0.21 -1.3 -0.63 0.54 -0.84 0.18 -0.15 -0.78 1.1 8.5e+03 0.0059 0.031 0.15 +
24 -0.9 0.68 0.23 -1.3 -0.64 0.55 -0.83 0.17 -0.16 -0.78 1.1 8.5e+03 0.0048 0.031 0.5 +
25 -0.91 0.69 0.24 -1.3 -0.63 0.55 -0.84 0.2 -0.14 -0.78 1.1 8.5e+03 0.0029 0.031 0.46 +
26 -0.94 0.7 0.27 -1.3 -0.65 0.55 -0.83 0.19 -0.16 -0.78 1.1 8.5e+03 0.0038 0.031 0.48 +
27 -0.95 0.72 0.3 -1.3 -0.65 0.54 -0.84 0.19 -0.16 -0.78 1.1 8.5e+03 0.0033 0.031 0.65 +
28 -0.97 0.73 0.33 -1.3 -0.65 0.54 -0.84 0.21 -0.15 -0.78 1.1 8.5e+03 0.0031 0.031 0.71 +
29 -1 0.74 0.37 -1.3 -0.65 0.54 -0.84 0.2 -0.15 -0.78 1 8.5e+03 0.0013 0.31 0.96 ++
30 -1.1 0.83 0.56 -1.3 -0.66 0.53 -0.85 0.22 -0.13 -0.77 1 8.5e+03 0.0035 3.1 0.92 ++
31 -1.1 0.83 0.56 -1.3 -0.66 0.53 -0.85 0.22 -0.13 -0.77 1 8.5e+03 0.0035 1.6 -2.4e+02 -
32 -1.1 0.83 0.56 -1.3 -0.66 0.53 -0.85 0.22 -0.13 -0.77 1 8.5e+03 0.0035 0.78 -30 -
33 -1.1 0.83 0.56 -1.3 -0.66 0.53 -0.85 0.22 -0.13 -0.77 1 8.5e+03 0.0035 0.39 -4.3 -
34 -1.1 0.83 0.56 -1.3 -0.66 0.53 -0.85 0.22 -0.13 -0.77 1 8.5e+03 0.0035 0.2 -0.27 -
35 -1.2 0.91 0.75 -1.2 -0.68 0.54 -0.82 0.21 -0.16 -0.75 1 8.5e+03 0.0022 0.2 0.45 +
36 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 2 0.99 ++
37 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 0.98 -42 -
38 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 0.49 -25 -
39 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 0.24 -17 -
40 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 0.12 -11 -
41 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 0.061 -6.8 -
42 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 0.031 -0.85 -
43 -1.2 0.9 0.75 -1.2 -0.68 0.54 -0.83 0.21 -0.15 -0.75 1 8.5e+03 0.00097 0.015 -0.36 -
44 -1.2 0.9 0.77 -1.3 -0.67 0.53 -0.84 0.2 -0.14 -0.74 1 8.5e+03 0.00099 0.015 0.47 +
45 -1.2 0.91 0.78 -1.3 -0.66 0.53 -0.84 0.2 -0.13 -0.74 1 8.5e+03 0.0014 0.015 0.32 +
46 -1.2 0.9 0.8 -1.3 -0.66 0.53 -0.84 0.19 -0.12 -0.73 1 8.5e+03 0.0013 0.015 0.16 +
47 -1.2 0.9 0.8 -1.3 -0.65 0.52 -0.85 0.19 -0.13 -0.72 1 8.5e+03 0.00054 0.015 0.32 +
48 -1.2 0.9 0.8 -1.3 -0.65 0.52 -0.85 0.19 -0.13 -0.72 1 8.5e+03 0.00054 0.0076 0.042 -
49 -1.2 0.9 0.81 -1.3 -0.65 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00036 0.076 0.94 ++
50 -1.2 0.9 0.81 -1.3 -0.65 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00036 0.038 -31 -
51 -1.2 0.9 0.81 -1.3 -0.65 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00036 0.019 -12 -
52 -1.2 0.9 0.81 -1.3 -0.65 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00036 0.0095 -7.8 -
53 -1.2 0.9 0.81 -1.3 -0.65 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00036 0.0048 -2.6 -
54 -1.2 0.9 0.81 -1.3 -0.65 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00036 0.0024 -0.92 -
55 -1.2 0.9 0.81 -1.3 -0.65 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00039 0.0024 0.15 +
56 -1.2 0.9 0.81 -1.3 -0.66 0.53 -0.84 0.2 -0.13 -0.72 1 8.5e+03 0.00017 0.0024 0.82 +
57 -1.2 0.9 0.81 -1.3 -0.66 0.53 -0.84 0.2 -0.13 -0.71 1 8.5e+03 0.00019 0.0024 0.68 +
58 -1.2 0.9 0.81 -1.3 -0.66 0.53 -0.84 0.2 -0.13 -0.71 1 8.5e+03 0.0001 0.024 0.92 ++
59 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.85 0.2 -0.13 -0.69 1 8.5e+03 0.00054 0.024 0.58 +
60 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.85 0.2 -0.13 -0.69 1 8.5e+03 0.00054 0.012 -0.48 -
61 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.85 0.2 -0.13 -0.69 1 8.5e+03 0.00054 0.006 -0.095 -
62 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.85 0.2 -0.13 -0.69 1 8.5e+03 0.00054 0.003 0.092 -
63 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.84 0.19 -0.13 -0.69 1 8.5e+03 0.00033 0.003 0.38 +
64 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.84 0.19 -0.13 -0.69 1 8.5e+03 0.0001 0.003 0.82 +
65 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.85 0.19 -0.13 -0.68 1 8.5e+03 8.9e-05 0.003 0.66 +
66 -1.2 0.91 0.84 -1.3 -0.66 0.53 -0.84 0.19 -0.13 -0.68 1 8.5e+03 5.1e-05 0.03 0.92 ++
67 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.85 0.19 -0.12 -0.65 1 8.5e+03 0.00026 0.03 0.23 +
68 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.85 0.19 -0.12 -0.65 1 8.5e+03 0.00026 0.015 -13 -
69 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.85 0.19 -0.12 -0.65 1 8.5e+03 0.00026 0.0075 -4 -
70 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.85 0.19 -0.12 -0.65 1 8.5e+03 0.00026 0.0037 -0.39 -
71 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 0.00014 0.0037 0.52 +
72 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 0.00014 0.0019 -0.058 -
73 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 3.9e-05 0.0019 0.77 +
74 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 3.9e-05 0.00093 -0.36 -
75 -1.2 0.91 0.86 -1.3 -0.66 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 3.8e-05 0.00093 0.51 +
76 -1.2 0.91 0.86 -1.3 -0.66 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 3.8e-05 0.00047 -0.88 -
77 -1.2 0.91 0.86 -1.3 -0.66 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 3.8e-05 0.00023 0.084 -
78 -1.2 0.91 0.86 -1.3 -0.66 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 9.9e-06 0.00023 0.88 +
79 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 1e-05 0.00023 0.24 +
80 -1.2 0.91 0.86 -1.3 -0.65 0.53 -0.84 0.19 -0.13 -0.65 1 8.5e+03 4.4e-06 0.00023 0.72 +
Considering neighbor 7/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000064
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time lambda_travel_t b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_existing Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.63 -
1 0 0 0 0 1 0 0 0 0 1.8 1.1e+04 0.28 0.25 -0.1 -
2 -0.25 -0.25 -0.25 -0.25 1 -0.25 0.25 0.25 -0.25 2 9.6e+03 0.15 0.25 0.38 +
3 -0.2 0 -0.25 -0.5 1 -0.37 0 0 -0.26 2 8.9e+03 0.11 0.25 0.69 +
4 -0.45 -0.25 -0.25 -0.75 1.1 -0.56 0.17 -0.14 -0.28 2.2 8.7e+03 0.085 0.25 0.19 +
5 -0.37 -0.014 -0.23 -0.93 1.1 -0.62 -0.076 -0.39 -0.29 2.2 8.7e+03 0.1 0.25 0.15 +
6 -0.43 0.12 -0.21 -0.9 0.89 -0.67 0.17 -0.25 -0.31 2.1 8.5e+03 0.019 0.25 0.75 +
7 -0.43 0.12 -0.21 -0.9 0.89 -0.67 0.17 -0.25 -0.31 2.1 8.5e+03 0.019 0.12 -0.1 -
8 -0.47 0.16 -0.19 -1 0.83 -0.54 0.063 -0.24 -0.33 2.2 8.5e+03 0.028 0.12 0.43 +
9 -0.47 0.16 -0.19 -1 0.83 -0.54 0.063 -0.24 -0.33 2.2 8.5e+03 0.028 0.062 -0.23 -
10 -0.52 0.17 -0.17 -0.99 0.76 -0.6 0.13 -0.18 -0.35 2.2 8.5e+03 0.021 0.062 0.54 +
11 -0.46 0.23 -0.16 -1 0.74 -0.61 0.091 -0.19 -0.35 2.2 8.4e+03 0.018 0.062 0.36 +
12 -0.48 0.26 -0.14 -1.1 0.69 -0.59 0.12 -0.13 -0.37 2.2 8.4e+03 0.0079 0.062 0.87 +
13 -0.47 0.32 -0.11 -1.1 0.64 -0.58 0.1 -0.12 -0.39 2.2 8.4e+03 0.014 0.062 0.64 +
14 -0.49 0.35 -0.082 -1.2 0.57 -0.59 0.13 -0.064 -0.41 2.2 8.4e+03 0.0084 0.062 0.64 +
15 -0.48 0.41 -0.042 -1.2 0.51 -0.6 0.12 -0.051 -0.44 2.1 8.4e+03 0.0065 0.062 0.64 +
16 -0.51 0.42 0.01 -1.3 0.47 -0.58 0.12 -0.031 -0.47 2.1 8.4e+03 0.0058 0.062 0.42 +
17 -0.51 0.42 0.01 -1.3 0.47 -0.58 0.12 -0.031 -0.47 2.1 8.4e+03 0.0058 0.031 -1.1 -
18 -0.5 0.45 0.041 -1.3 0.46 -0.61 0.15 -0.014 -0.48 2.1 8.4e+03 0.0079 0.031 0.18 +
19 -0.5 0.45 0.041 -1.3 0.46 -0.61 0.15 -0.014 -0.48 2.1 8.4e+03 0.0079 0.016 -0.22 -
20 -0.5 0.45 0.041 -1.3 0.46 -0.61 0.15 -0.014 -0.48 2.1 8.4e+03 0.0079 0.0078 0.00019 -
21 -0.49 0.46 0.049 -1.3 0.47 -0.6 0.15 -0.022 -0.49 2.1 8.4e+03 0.0052 0.0078 0.55 +
22 -0.5 0.45 0.057 -1.3 0.48 -0.59 0.14 -0.021 -0.5 2.1 8.4e+03 0.0014 0.0078 0.76 +
23 -0.5 0.45 0.065 -1.3 0.47 -0.6 0.13 -0.029 -0.51 2.1 8.4e+03 0.002 0.0078 0.66 +
24 -0.51 0.45 0.071 -1.3 0.47 -0.6 0.14 -0.025 -0.51 2.1 8.4e+03 0.0017 0.0078 0.83 +
25 -0.51 0.45 0.079 -1.3 0.47 -0.6 0.14 -0.029 -0.51 2.1 8.4e+03 0.0014 0.0078 0.9 +
26 -0.51 0.45 0.087 -1.3 0.47 -0.6 0.14 -0.027 -0.51 2.1 8.4e+03 0.0013 0.078 0.93 ++
27 -0.53 0.49 0.16 -1.3 0.47 -0.6 0.14 -0.031 -0.54 2 8.4e+03 0.0021 0.078 0.74 +
28 -0.53 0.49 0.16 -1.3 0.47 -0.6 0.14 -0.031 -0.54 2 8.4e+03 0.0021 0.039 -0.17 -
29 -0.56 0.48 0.2 -1.3 0.47 -0.62 0.14 -0.028 -0.55 2 8.4e+03 0.0036 0.039 0.16 +
30 -0.55 0.5 0.24 -1.3 0.47 -0.64 0.14 -0.017 -0.55 2 8.4e+03 0.0037 0.039 0.16 +
31 -0.56 0.51 0.25 -1.3 0.47 -0.6 0.14 -0.024 -0.55 2 8.4e+03 0.0026 0.039 0.29 +
32 -0.56 0.51 0.25 -1.3 0.47 -0.6 0.14 -0.024 -0.55 2 8.4e+03 0.0026 0.02 -0.23 -
33 -0.56 0.51 0.25 -1.3 0.47 -0.62 0.14 -0.024 -0.54 2 8.4e+03 0.00055 0.02 0.9 +
34 -0.56 0.51 0.25 -1.3 0.47 -0.62 0.14 -0.024 -0.54 2 8.4e+03 0.00055 0.0098 -2.6 -
35 -0.56 0.51 0.25 -1.3 0.47 -0.62 0.14 -0.024 -0.54 2 8.4e+03 0.00055 0.0049 -1.4 -
36 -0.56 0.51 0.25 -1.3 0.47 -0.62 0.14 -0.024 -0.54 2 8.4e+03 0.00055 0.0024 0.0063 -
37 -0.57 0.51 0.26 -1.3 0.47 -0.62 0.14 -0.027 -0.54 2 8.4e+03 0.00045 0.0024 0.51 +
38 -0.57 0.51 0.26 -1.3 0.47 -0.62 0.14 -0.025 -0.54 2 8.4e+03 0.00035 0.024 0.96 ++
39 -0.57 0.52 0.28 -1.3 0.47 -0.62 0.14 -0.02 -0.53 2 8.4e+03 0.0012 0.024 0.59 +
40 -0.57 0.52 0.28 -1.3 0.47 -0.62 0.14 -0.02 -0.53 2 8.4e+03 0.0012 0.012 -1 -
41 -0.57 0.52 0.3 -1.3 0.47 -0.61 0.14 -0.02 -0.52 2 8.4e+03 0.00096 0.012 0.29 +
42 -0.58 0.52 0.3 -1.3 0.47 -0.62 0.14 -0.022 -0.52 2 8.4e+03 0.00035 0.012 0.75 +
43 -0.58 0.52 0.31 -1.3 0.47 -0.62 0.14 -0.019 -0.51 2 8.4e+03 0.00049 0.012 0.45 +
44 -0.58 0.53 0.32 -1.3 0.47 -0.62 0.14 -0.024 -0.5 2 8.4e+03 0.00062 0.012 0.45 +
45 -0.58 0.52 0.33 -1.3 0.46 -0.63 0.14 -0.017 -0.49 2 8.4e+03 0.00054 0.012 0.18 +
46 -0.58 0.52 0.33 -1.3 0.46 -0.63 0.14 -0.017 -0.49 2 8.4e+03 0.00054 0.0061 0.087 -
47 -0.58 0.52 0.33 -1.3 0.47 -0.62 0.14 -0.019 -0.49 2 8.4e+03 0.00091 0.0061 0.55 +
48 -0.58 0.52 0.33 -1.3 0.47 -0.62 0.14 -0.019 -0.49 2 8.4e+03 0.00091 0.0031 0.084 -
49 -0.58 0.53 0.33 -1.3 0.47 -0.62 0.14 -0.018 -0.49 2 8.4e+03 0.00027 0.0031 0.67 +
50 -0.58 0.53 0.33 -1.3 0.47 -0.62 0.14 -0.02 -0.48 2 8.4e+03 0.00037 0.0031 0.24 +
51 -0.58 0.53 0.34 -1.3 0.47 -0.62 0.14 -0.019 -0.48 2 8.4e+03 9.3e-05 0.031 0.91 ++
52 -0.58 0.53 0.34 -1.3 0.47 -0.62 0.14 -0.019 -0.48 2 8.4e+03 9.3e-05 0.015 -0.46 -
53 -0.58 0.53 0.34 -1.3 0.47 -0.62 0.14 -0.019 -0.48 2 8.4e+03 9.3e-05 0.0076 -2 -
54 -0.58 0.53 0.34 -1.3 0.47 -0.62 0.14 -0.019 -0.48 2 8.4e+03 9.3e-05 0.0038 -0.7 -
55 -0.58 0.53 0.34 -1.3 0.47 -0.62 0.14 -0.02 -0.48 1.9 8.4e+03 0.00033 0.0038 0.28 +
56 -0.58 0.53 0.34 -1.3 0.47 -0.62 0.14 -0.018 -0.48 1.9 8.4e+03 0.0001 0.0038 0.85 +
57 -0.58 0.53 0.35 -1.3 0.47 -0.62 0.14 -0.018 -0.47 1.9 8.4e+03 8.9e-05 0.0038 0.83 +
58 -0.59 0.53 0.35 -1.3 0.47 -0.62 0.14 -0.018 -0.47 1.9 8.4e+03 0.00012 0.0038 0.66 +
59 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.018 -0.46 1.9 8.4e+03 0.00012 0.0038 0.77 +
60 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 0.00011 0.0038 0.85 +
61 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.018 -0.46 1.9 8.4e+03 9.5e-05 0.0038 0.73 +
62 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.018 -0.46 1.9 8.4e+03 9.5e-05 0.0019 -2.1 -
63 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.018 -0.46 1.9 8.4e+03 9.5e-05 0.00095 0.0078 -
64 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.017 -0.46 1.9 8.4e+03 4.4e-05 0.00095 0.86 +
65 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.018 -0.45 1.9 8.4e+03 5.8e-05 0.00095 0.7 +
66 -0.59 0.53 0.36 -1.3 0.47 -0.62 0.14 -0.017 -0.45 1.9 8.4e+03 2.7e-05 0.0095 0.95 ++
67 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 0.0002 0.0095 0.21 +
68 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 0.0002 0.0048 -3.9 -
69 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 0.0002 0.0024 -2.8 -
70 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 0.0002 0.0012 -0.85 -
71 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 0.00022 0.0012 0.3 +
72 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 5.9e-05 0.0012 0.28 +
73 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 6.4e-05 0.0012 0.54 +
74 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 6.4e-05 0.0006 0.026 -
75 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 4.1e-05 0.0006 0.3 +
76 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 4.1e-05 0.0003 -0.44 -
77 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 2.6e-05 0.0003 0.45 +
78 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 1.6e-05 0.0003 0.17 +
79 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 2e-05 0.0003 0.14 +
80 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 1e-05 0.0003 0.39 +
81 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 1e-05 0.00015 -0.7 -
82 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 8.3e-06 0.00015 0.51 +
83 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 8.3e-06 7.5e-05 -0.41 -
84 -0.59 0.53 0.37 -1.3 0.47 -0.62 0.14 -0.017 -0.44 1.9 8.4e+03 1.8e-06 7.5e-05 0.94 -
Considering neighbor 8/20 for current solution
Considering neighbor 9/20 for current solution
Attempt 30/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000065
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.22 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 1.5 9.4e+03 0.1 0.5 0.44 +
2 -0.5 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 1.5 9.4e+03 0.1 0.25 -0.034 -
3 -0.25 -0.25 -0.25 -0.75 -0.25 -0.75 0.25 -0.75 -0.75 1.2 8.9e+03 0.07 0.25 0.51 +
4 -0.5 -0.28 -0.25 -1 -0.28 -0.69 0.24 -0.66 -0.75 1.4 8.9e+03 0.062 0.25 0.22 +
5 -0.38 -0.028 -0.24 -1 -0.26 -0.69 0.21 -0.58 -0.76 1.2 8.7e+03 0.022 0.25 0.79 +
6 -0.52 0.19 -0.21 -1.3 -0.26 -0.71 0.27 -0.33 -0.76 1.3 8.7e+03 0.028 0.25 0.44 +
7 -0.45 0.44 -0.17 -1.3 -0.24 -0.73 0.16 -0.29 -0.76 1.3 8.6e+03 0.034 0.25 0.2 +
8 -0.7 0.48 -0.099 -1.3 -0.22 -0.73 0.014 -0.22 -0.77 1.3 8.6e+03 0.031 0.25 0.34 +
9 -0.7 0.48 -0.099 -1.3 -0.22 -0.73 0.014 -0.22 -0.77 1.3 8.6e+03 0.031 0.12 -0.72 -
10 -0.7 0.51 -0.076 -1.2 -0.2 -0.78 0.14 -0.13 -0.77 1.2 8.6e+03 0.015 0.12 0.38 +
11 -0.7 0.51 -0.076 -1.2 -0.2 -0.78 0.14 -0.13 -0.77 1.2 8.6e+03 0.015 0.062 -0.022 -
12 -0.73 0.51 -0.061 -1.2 -0.2 -0.75 0.077 -0.17 -0.77 1.2 8.6e+03 0.0034 0.62 0.96 ++
13 -0.73 0.51 -0.061 -1.2 -0.2 -0.75 0.077 -0.17 -0.77 1.2 8.6e+03 0.0034 0.24 -3.7 -
14 -0.73 0.51 -0.061 -1.2 -0.2 -0.75 0.077 -0.17 -0.77 1.2 8.6e+03 0.0034 0.12 -1.6 -
15 -0.73 0.51 -0.061 -1.2 -0.2 -0.75 0.077 -0.17 -0.77 1.2 8.6e+03 0.0034 0.06 -0.77 -
16 -0.73 0.51 -0.061 -1.2 -0.2 -0.75 0.077 -0.17 -0.77 1.2 8.6e+03 0.0034 0.03 -0.045 -
17 -0.76 0.54 -0.03 -1.2 -0.17 -0.76 0.07 -0.15 -0.77 1.2 8.6e+03 0.0076 0.03 0.58 +
18 -0.79 0.54 -0.019 -1.2 -0.17 -0.75 0.064 -0.15 -0.77 1.2 8.6e+03 0.004 0.03 0.74 +
19 -0.81 0.57 0.011 -1.2 -0.16 -0.75 0.047 -0.15 -0.77 1.2 8.6e+03 0.0048 0.03 0.74 +
20 -0.84 0.58 0.036 -1.2 -0.16 -0.76 0.058 -0.14 -0.77 1.2 8.6e+03 0.0026 0.03 0.86 +
21 -0.85 0.6 0.066 -1.2 -0.16 -0.75 0.044 -0.15 -0.77 1.2 8.6e+03 0.0041 0.03 0.89 +
22 -0.88 0.61 0.094 -1.2 -0.15 -0.75 0.044 -0.14 -0.76 1.2 8.6e+03 0.0029 0.03 0.82 +
23 -0.89 0.63 0.12 -1.2 -0.15 -0.76 0.048 -0.13 -0.76 1.2 8.6e+03 0.0031 0.03 0.8 +
24 -0.91 0.63 0.15 -1.2 -0.15 -0.76 0.036 -0.13 -0.76 1.2 8.6e+03 0.0022 0.03 0.89 +
25 -0.93 0.65 0.18 -1.2 -0.14 -0.76 0.045 -0.13 -0.76 1.2 8.6e+03 0.0027 0.3 0.91 ++
26 -1.1 0.76 0.49 -1.2 -0.12 -0.77 0.051 -0.087 -0.74 1.1 8.6e+03 0.0081 0.3 0.43 +
27 -1.1 0.76 0.49 -1.2 -0.12 -0.77 0.051 -0.087 -0.74 1.1 8.6e+03 0.0081 0.15 -0.52 -
28 -1.1 0.76 0.49 -1.2 -0.12 -0.77 0.051 -0.087 -0.74 1.1 8.6e+03 0.0081 0.073 -0.4 -
29 -1.1 0.76 0.49 -1.2 -0.12 -0.77 0.051 -0.087 -0.74 1.1 8.6e+03 0.0081 0.036 -0.42 -
30 -1.1 0.78 0.5 -1.2 -0.12 -0.77 0.023 -0.11 -0.74 1.1 8.6e+03 0.0044 0.036 0.52 +
31 -1.1 0.79 0.53 -1.2 -0.11 -0.77 0.047 -0.1 -0.73 1.1 8.6e+03 0.0022 0.036 0.86 +
32 -1.1 0.79 0.53 -1.2 -0.11 -0.77 0.047 -0.1 -0.73 1.1 8.6e+03 0.0022 0.018 -0.34 -
33 -1.1 0.79 0.53 -1.2 -0.11 -0.77 0.047 -0.1 -0.73 1.1 8.6e+03 0.0022 0.0091 -0.35 -
34 -1.1 0.78 0.54 -1.2 -0.12 -0.76 0.038 -0.11 -0.72 1.1 8.6e+03 0.0017 0.0091 0.33 +
35 -1.1 0.79 0.55 -1.2 -0.12 -0.77 0.043 -0.11 -0.72 1.1 8.6e+03 0.00092 0.091 0.97 ++
36 -1.2 0.83 0.64 -1.2 -0.1 -0.79 0.029 -0.11 -0.7 1.1 8.6e+03 0.003 0.091 0.64 +
37 -1.2 0.85 0.73 -1.2 -0.091 -0.76 0.045 -0.089 -0.68 1 8.6e+03 0.0021 0.091 0.65 +
38 -1.2 0.85 0.73 -1.2 -0.091 -0.76 0.045 -0.089 -0.68 1 8.6e+03 0.0021 0.046 -2.5 -
39 -1.2 0.85 0.73 -1.2 -0.091 -0.76 0.045 -0.089 -0.68 1 8.6e+03 0.0021 0.023 0.027 -
40 -1.2 0.86 0.74 -1.2 -0.092 -0.78 0.039 -0.098 -0.68 1.1 8.6e+03 0.00068 0.023 0.8 +
41 -1.2 0.86 0.74 -1.2 -0.092 -0.78 0.039 -0.098 -0.68 1.1 8.6e+03 0.00068 0.011 -0.00067 -
42 -1.2 0.86 0.74 -1.2 -0.092 -0.78 0.039 -0.098 -0.68 1.1 8.6e+03 0.00068 0.0057 -0.035 -
43 -1.2 0.86 0.75 -1.2 -0.091 -0.78 0.045 -0.093 -0.67 1.1 8.6e+03 0.0011 0.0057 0.44 +
44 -1.2 0.86 0.75 -1.2 -0.091 -0.77 0.04 -0.095 -0.67 1 8.6e+03 0.00077 0.0057 0.7 +
45 -1.2 0.87 0.76 -1.2 -0.091 -0.78 0.045 -0.093 -0.67 1 8.6e+03 0.00057 0.057 0.98 ++
46 -1.3 0.9 0.82 -1.2 -0.089 -0.78 0.042 -0.098 -0.64 1 8.6e+03 0.0019 0.057 0.75 +
47 -1.3 0.9 0.82 -1.2 -0.089 -0.78 0.042 -0.098 -0.64 1 8.6e+03 0.0019 0.027 -0.76 -
48 -1.3 0.91 0.84 -1.2 -0.084 -0.76 0.051 -0.082 -0.62 1 8.6e+03 0.0012 0.027 0.37 +
49 -1.3 0.91 0.84 -1.2 -0.084 -0.76 0.051 -0.082 -0.62 1 8.6e+03 0.0012 0.014 -0.18 -
50 -1.3 0.91 0.85 -1.2 -0.084 -0.77 0.049 -0.085 -0.62 1 8.6e+03 0.0018 0.014 0.26 +
51 -1.3 0.92 0.86 -1.2 -0.079 -0.78 0.044 -0.087 -0.61 1 8.6e+03 0.00083 0.014 0.84 +
52 -1.3 0.92 0.86 -1.2 -0.079 -0.78 0.044 -0.087 -0.61 1 8.6e+03 0.00083 0.0068 -3 -
53 -1.3 0.92 0.86 -1.2 -0.079 -0.78 0.051 -0.083 -0.61 1 8.6e+03 0.00086 0.0068 0.1 +
54 -1.3 0.93 0.87 -1.2 -0.077 -0.78 0.048 -0.085 -0.61 1 8.6e+03 0.00067 0.0068 0.57 +
55 -1.3 0.93 0.87 -1.2 -0.077 -0.78 0.049 -0.086 -0.61 1 8.6e+03 0.00047 0.0068 0.71 +
56 -1.3 0.93 0.88 -1.2 -0.076 -0.78 0.05 -0.082 -0.6 1 8.6e+03 0.00029 0.0068 0.79 +
57 -1.3 0.93 0.88 -1.2 -0.075 -0.78 0.049 -0.084 -0.6 1 8.6e+03 0.00017 0.068 0.97 ++
58 -1.4 0.94 0.9 -1.3 -0.073 -0.78 0.052 -0.081 -0.59 1 8.6e+03 0.00044 0.068 0.8 +
59 -1.4 0.94 0.9 -1.3 -0.073 -0.78 0.052 -0.081 -0.59 1 8.6e+03 0.00044 0.034 -0.3 -
60 -1.4 0.96 0.93 -1.2 -0.067 -0.79 0.045 -0.081 -0.57 1 8.6e+03 0.00074 0.034 0.32 +
61 -1.4 0.96 0.93 -1.2 -0.067 -0.79 0.045 -0.081 -0.57 1 8.6e+03 0.00074 0.017 -2.2 -
62 -1.4 0.96 0.93 -1.2 -0.067 -0.79 0.045 -0.081 -0.57 1 8.6e+03 0.00074 0.0086 0.0017 -
63 -1.4 0.96 0.93 -1.2 -0.069 -0.78 0.044 -0.079 -0.56 1 8.6e+03 0.00033 0.0086 0.7 +
64 -1.4 0.96 0.93 -1.2 -0.069 -0.78 0.044 -0.079 -0.56 1 8.6e+03 0.00033 0.0043 -0.16 -
65 -1.4 0.96 0.93 -1.2 -0.07 -0.78 0.046 -0.079 -0.56 1 8.6e+03 0.00011 0.0043 0.63 +
66 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.048 -0.081 -0.56 1 8.6e+03 0.00015 0.0043 0.19 +
67 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.046 -0.081 -0.56 1 8.6e+03 0.0001 0.0043 0.54 +
68 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.046 -0.081 -0.56 1 8.6e+03 0.0001 0.0021 -0.3 -
69 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.047 -0.08 -0.56 1 8.6e+03 4.4e-05 0.0021 0.82 +
70 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.046 -0.08 -0.55 1 8.6e+03 6.7e-05 0.0021 0.61 +
71 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 2.5e-05 0.0021 0.88 +
72 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.046 -0.08 -0.55 1 8.6e+03 5.1e-05 0.0021 0.78 +
73 -1.4 0.95 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 7.2e-05 0.0021 0.68 +
74 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 5.3e-05 0.0021 0.32 +
75 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 5.3e-05 0.0011 -0.17 -
76 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 1.7e-05 0.011 0.93 ++
77 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 1.7e-05 0.0053 -0.16 -
78 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 1.7e-05 0.0027 -0.96 -
79 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 1.7e-05 0.0013 -1.4 -
80 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.55 1 8.6e+03 1.7e-05 0.00067 -0.37 -
81 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.08 -0.54 1 8.6e+03 2.3e-05 0.00067 0.43 +
82 -1.4 0.96 0.94 -1.2 -0.071 -0.78 0.046 -0.079 -0.54 1 8.6e+03 1.1e-05 0.0067 0.95 ++
83 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.045 -0.079 -0.54 1 8.6e+03 5.2e-05 0.0067 0.36 +
84 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.045 -0.079 -0.54 1 8.6e+03 5.2e-05 0.0033 -5.8 -
85 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.045 -0.079 -0.54 1 8.6e+03 5.2e-05 0.0017 -2.3 -
86 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.045 -0.079 -0.54 1 8.6e+03 5.2e-05 0.00084 0.02 -
87 -1.4 0.96 0.95 -1.2 -0.071 -0.78 0.046 -0.079 -0.54 1 8.6e+03 1.8e-05 0.00084 0.6 +
88 -1.4 0.96 0.95 -1.2 -0.071 -0.78 0.046 -0.079 -0.54 1 8.6e+03 1.8e-05 0.00042 -0.93 -
89 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.046 -0.079 -0.54 1 8.6e+03 1.1e-05 0.00042 0.43 +
90 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.046 -0.079 -0.54 1 8.6e+03 1.1e-05 0.00021 -0.8 -
91 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.046 -0.079 -0.54 1 8.6e+03 1.7e-05 0.00021 0.43 +
92 -1.4 0.96 0.95 -1.2 -0.07 -0.78 0.046 -0.079 -0.54 1 8.6e+03 2e-06 0.00021 0.94 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 6 unknown parameters [max: 50]
*** Estimate b07everything_000066
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time b_cost_train b_cost_swissmet asc_car b_cost_car Function Relgrad Radius Rho
0 -0.59 -0.75 -0.92 -0.69 -0.42 -0.57 8.7e+03 0.053 10 1.1 ++
1 -0.19 -1.2 -1.5 -0.78 -0.39 -0.39 8.5e+03 0.021 1e+02 1.2 ++
2 -0.064 -1.3 -1.9 -0.82 -0.41 -0.38 8.4e+03 0.0039 1e+03 1.1 ++
3 -0.046 -1.3 -1.9 -0.82 -0.42 -0.38 8.4e+03 0.00012 1e+04 1 ++
4 -0.046 -1.3 -1.9 -0.82 -0.42 -0.38 8.4e+03 1e-07 1e+04 1 ++
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000067
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car Function Relgrad Radius Rho
0 -0.81 0.35 0.31 -0.87 0.36 -0.88 -0.7 -0.44 0.011 -0.32 -0.54 8.7e+03 0.054 10 1.1 ++
1 -0.7 0.63 0.55 -1.2 0.036 -1.4 -0.78 -0.35 -0.091 -0.52 -0.39 8.4e+03 0.02 1e+02 1.2 ++
2 -0.69 0.76 0.66 -1.3 -0.12 -1.7 -0.81 -0.36 -0.097 -0.55 -0.37 8.4e+03 0.0035 1e+03 1.1 ++
3 -0.69 0.77 0.67 -1.3 -0.14 -1.8 -0.82 -0.37 -0.098 -0.55 -0.37 8.4e+03 9.7e-05 1e+04 1 ++
4 -0.69 0.77 0.67 -1.3 -0.14 -1.8 -0.82 -0.37 -0.098 -0.55 -0.37 8.4e+03 7.9e-08 1e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 31/100
Biogeme parameters read from biogeme.toml.
Model with 18 unknown parameters [max: 50]
*** Estimate b07everything_000068
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.55 0.5 -0.91 -
1 1.1e+04 0.55 0.25 -0.57 -
2 1.1e+04 0.55 0.12 -0.2 -
3 9.9e+03 0.31 0.12 0.2 +
4 9.4e+03 0.17 0.12 0.55 +
5 9.2e+03 0.092 0.12 0.68 +
6 8.9e+03 0.075 1.2 0.92 ++
7 8.9e+03 0.075 0.62 -0.33 -
8 8.8e+03 0.25 0.62 0.12 +
9 8.8e+03 0.25 0.31 -0.48 -
10 8.6e+03 0.17 0.31 0.23 +
11 8.4e+03 0.16 0.31 0.34 +
12 8.4e+03 0.16 0.16 -1.7 -
13 8.4e+03 0.16 0.078 -0.76 -
14 8.4e+03 0.16 0.039 0.0079 -
15 8.2e+03 0.05 0.039 0.48 +
16 8.2e+03 0.03 0.039 0.25 +
17 8.2e+03 0.01 0.39 0.99 ++
18 8.2e+03 0.01 0.2 -0.15 -
19 8.2e+03 0.037 0.2 0.28 +
20 8.2e+03 0.037 0.098 -0.46 -
21 8.2e+03 0.037 0.049 -0.24 -
22 8.2e+03 0.026 0.049 0.43 +
23 8.2e+03 0.015 0.049 0.68 +
24 8.2e+03 0.013 0.049 0.69 +
25 8.2e+03 0.0075 0.049 0.64 +
26 8.1e+03 0.005 0.049 0.81 +
27 8.1e+03 0.005 0.024 -0.27 -
28 8.1e+03 0.005 0.012 0.097 -
29 8.1e+03 0.0075 0.012 0.11 +
30 8.1e+03 0.0032 0.12 0.97 ++
31 8.1e+03 0.008 0.12 0.73 +
32 8.1e+03 0.008 0.061 -0.1 -
33 8.1e+03 0.008 0.031 0.0021 -
34 8.1e+03 0.008 0.015 -0.082 -
35 8.1e+03 0.0053 0.015 0.2 +
36 8.1e+03 0.0033 0.015 0.86 +
37 8.1e+03 0.0033 0.015 0.89 +
38 8.1e+03 0.0019 0.015 0.83 +
39 8.1e+03 0.0045 0.15 0.94 ++
40 8.1e+03 0.0098 0.15 0.32 +
41 8.1e+03 0.0098 0.076 -2.1 -
42 8.1e+03 0.0098 0.038 -0.49 -
43 8.1e+03 0.006 0.038 0.32 +
44 8.1e+03 0.006 0.019 0.063 -
45 8.1e+03 0.00093 0.019 0.89 +
46 8.1e+03 0.00093 0.0095 -0.91 -
47 8.1e+03 0.00093 0.0048 -0.13 -
48 8.1e+03 0.00093 0.0024 -0.025 -
49 8.1e+03 0.0015 0.0024 0.2 +
50 8.1e+03 0.00042 0.024 0.9 ++
51 8.1e+03 0.0012 0.024 0.22 +
52 8.1e+03 0.0011 0.024 0.3 +
53 8.1e+03 0.0011 0.012 -0.77 -
54 8.1e+03 0.00051 0.012 0.59 +
55 8.1e+03 0.00051 0.006 -0.42 -
56 8.1e+03 0.00025 0.006 0.47 +
57 8.1e+03 0.00025 0.003 -0.64 -
58 8.1e+03 0.00038 0.003 0.29 +
59 8.1e+03 0.00018 0.003 0.53 +
60 8.1e+03 0.00014 0.003 0.6 +
61 8.1e+03 0.00011 0.003 0.8 +
62 8.1e+03 0.00025 0.003 0.29 +
63 8.1e+03 0.00025 0.0015 -0.38 -
64 8.1e+03 0.00013 0.0015 0.59 +
65 8.1e+03 5.4e-05 0.0015 0.63 +
66 8.1e+03 7.3e-05 0.0015 0.71 +
67 8.1e+03 0.00011 0.0015 0.31 +
68 8.1e+03 0.00011 0.00075 -0.42 -
69 8.1e+03 6.4e-05 0.00075 0.78 +
70 8.1e+03 5.7e-05 0.00075 0.56 +
71 8.1e+03 6.4e-05 0.00075 0.58 +
72 8.1e+03 2.9e-05 0.0075 0.9 ++
73 8.1e+03 2.9e-05 0.0037 -1.2 -
74 8.1e+03 2.9e-05 0.0019 0.034 -
75 8.1e+03 5.7e-05 0.0019 0.59 +
76 8.1e+03 7.6e-05 0.0019 0.7 +
77 8.1e+03 7.6e-05 0.00093 -0.28 -
78 8.1e+03 3.9e-05 0.00093 0.5 +
79 8.1e+03 3.9e-05 0.00047 -0.35 -
80 8.1e+03 2.6e-05 0.00047 0.87 +
81 8.1e+03 2e-05 0.00047 0.7 +
82 8.1e+03 2.5e-05 0.00047 0.69 +
83 8.1e+03 4.3e-05 0.00047 0.58 +
84 8.1e+03 4.3e-05 0.00023 -0.052 -
85 8.1e+03 2.2e-05 0.00023 0.48 +
86 8.1e+03 1.1e-05 0.00023 0.76 +
87 8.1e+03 2.2e-05 0.00023 0.7 +
88 8.1e+03 1.1e-05 0.0023 0.95 ++
89 8.1e+03 3.7e-05 0.0023 0.7 +
90 8.1e+03 3.7e-05 0.0012 -0.74 -
91 8.1e+03 3.7e-05 0.00058 -0.48 -
92 8.1e+03 3.7e-05 0.00029 -0.46 -
93 8.1e+03 3.7e-05 0.00015 -0.52 -
94 8.1e+03 2.1e-05 0.00015 0.54 +
95 8.1e+03 6.7e-06 0.0015 0.93 ++
96 8.1e+03 3.1e-05 0.0015 0.47 +
97 8.1e+03 3.1e-05 0.00073 -15 -
98 8.1e+03 3.1e-05 0.00036 -4.7 -
99 8.1e+03 3.1e-05 0.00018 -0.84 -
100 8.1e+03 1.1e-05 0.00018 0.4 +
101 8.1e+03 1.1e-05 0.00018 0.34 +
102 8.1e+03 1.1e-05 9.1e-05 -3.9 -
103 8.1e+03 1.1e-05 4.5e-05 -1.2 -
104 8.1e+03 5.9e-06 4.5e-05 0.64 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000069
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_GA mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.16 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 1.5 9.4e+03 0.12 0.5 0.45 +
2 -0.22 5.6e-17 -1 -1 -0.53 0 -1 1 8.7e+03 0.047 0.5 0.33 +
3 -0.22 5.6e-17 -1 -1 -0.53 0 -1 1 8.7e+03 0.047 0.25 -0.02 -
4 -0.47 0.25 -0.98 -0.75 -0.78 0.25 -1.1 1.2 8.5e+03 0.03 0.25 0.72 +
5 -0.39 0.5 -0.95 -0.71 -0.75 0.037 -1.1 1.2 8.4e+03 0.032 0.25 0.66 +
6 -0.63 0.75 -1 -0.68 -0.73 0.024 -1.1 1.4 8.3e+03 0.035 0.25 0.42 +
7 -0.57 1 -0.79 -0.53 -0.81 0.11 -1.2 1.4 8.3e+03 0.032 0.25 0.16 +
8 -0.64 1.1 -0.89 -0.57 -0.74 -0.14 -1.2 1.4 8.3e+03 0.018 0.25 0.46 +
9 -0.64 1.1 -0.89 -0.57 -0.74 -0.14 -1.2 1.4 8.3e+03 0.018 0.12 -1.3 -
10 -0.64 1.1 -0.89 -0.57 -0.74 -0.14 -1.2 1.4 8.3e+03 0.018 0.062 -0.14 -
11 -0.71 1.1 -0.83 -0.52 -0.79 -0.079 -1.2 1.4 8.3e+03 0.0016 0.062 0.73 +
12 -0.76 1.1 -0.78 -0.54 -0.73 -0.11 -1.2 1.4 8.3e+03 0.0041 0.062 0.11 +
13 -0.76 1.1 -0.78 -0.54 -0.73 -0.11 -1.2 1.4 8.3e+03 0.0041 0.031 -0.39 -
14 -0.76 1.1 -0.78 -0.54 -0.73 -0.11 -1.2 1.4 8.3e+03 0.0041 0.016 -0.4 -
15 -0.77 1.1 -0.8 -0.56 -0.75 -0.091 -1.2 1.4 8.3e+03 0.0041 0.016 0.2 +
16 -0.76 1.1 -0.78 -0.54 -0.76 -0.076 -1.2 1.4 8.3e+03 0.0041 0.016 0.39 +
17 -0.77 1.1 -0.8 -0.55 -0.77 -0.084 -1.2 1.4 8.3e+03 0.00066 0.16 0.9 ++
18 -0.77 1.1 -0.8 -0.55 -0.77 -0.084 -1.2 1.4 8.3e+03 0.00066 0.078 -1.3 -
19 -0.77 1.1 -0.8 -0.55 -0.77 -0.084 -1.2 1.4 8.3e+03 0.00066 0.039 0.013 -
20 -0.79 1.1 -0.8 -0.55 -0.79 -0.078 -1.3 1.3 8.3e+03 0.0027 0.039 0.46 +
21 -0.82 1.2 -0.81 -0.56 -0.75 -0.077 -1.3 1.3 8.3e+03 0.0022 0.039 0.37 +
22 -0.82 1.2 -0.81 -0.56 -0.75 -0.077 -1.3 1.3 8.3e+03 0.0022 0.02 -1.4 -
23 -0.82 1.2 -0.81 -0.56 -0.75 -0.077 -1.3 1.3 8.3e+03 0.0022 0.0098 -0.47 -
24 -0.83 1.2 -0.8 -0.55 -0.76 -0.068 -1.3 1.3 8.3e+03 0.0011 0.0098 0.29 +
25 -0.82 1.2 -0.8 -0.56 -0.77 -0.077 -1.3 1.3 8.3e+03 0.0014 0.0098 0.6 +
26 -0.83 1.2 -0.81 -0.56 -0.78 -0.068 -1.3 1.3 8.3e+03 0.00052 0.0098 0.66 +
27 -0.83 1.2 -0.81 -0.56 -0.78 -0.068 -1.3 1.3 8.3e+03 0.00084 0.0098 0.79 +
28 -0.84 1.2 -0.81 -0.56 -0.78 -0.062 -1.3 1.3 8.3e+03 0.00036 0.0098 0.9 +
29 -0.84 1.2 -0.82 -0.57 -0.78 -0.064 -1.3 1.3 8.3e+03 0.0006 0.098 0.93 ++
30 -0.84 1.2 -0.82 -0.57 -0.78 -0.064 -1.3 1.3 8.3e+03 0.0006 0.049 -2.7 -
31 -0.84 1.2 -0.82 -0.57 -0.78 -0.064 -1.3 1.3 8.3e+03 0.0006 0.024 -2.7 -
32 -0.84 1.2 -0.82 -0.57 -0.78 -0.064 -1.3 1.3 8.3e+03 0.0006 0.012 -1 -
33 -0.84 1.2 -0.82 -0.57 -0.78 -0.064 -1.3 1.3 8.3e+03 0.0006 0.0061 -0.043 -
34 -0.85 1.2 -0.82 -0.57 -0.78 -0.058 -1.3 1.3 8.3e+03 0.0009 0.0061 0.32 +
35 -0.85 1.2 -0.82 -0.57 -0.78 -0.061 -1.3 1.3 8.3e+03 0.00028 0.061 0.95 ++
36 -0.91 1.2 -0.83 -0.58 -0.77 -0.048 -1.3 1.2 8.3e+03 0.00095 0.061 0.31 +
37 -0.91 1.2 -0.83 -0.58 -0.77 -0.048 -1.3 1.2 8.3e+03 0.00095 0.031 -2.7 -
38 -0.91 1.2 -0.83 -0.58 -0.77 -0.048 -1.3 1.2 8.3e+03 0.00095 0.015 -0.92 -
39 -0.91 1.2 -0.83 -0.58 -0.77 -0.048 -1.3 1.2 8.3e+03 0.00095 0.0076 -0.64 -
40 -0.91 1.2 -0.83 -0.58 -0.77 -0.048 -1.3 1.2 8.3e+03 0.00095 0.0038 -0.17 -
41 -0.91 1.2 -0.83 -0.58 -0.77 -0.044 -1.3 1.2 8.3e+03 0.00042 0.0038 0.56 +
42 -0.91 1.2 -0.83 -0.58 -0.78 -0.045 -1.3 1.2 8.3e+03 0.00044 0.0038 0.51 +
43 -0.91 1.3 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 0.00025 0.0038 0.23 +
44 -0.91 1.2 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 9.8e-05 0.0038 0.59 +
45 -0.91 1.2 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 3.3e-05 0.0038 0.64 +
46 -0.91 1.2 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 3.3e-05 0.0019 -2.6 -
47 -0.91 1.2 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 3.3e-05 0.00095 -0.32 -
48 -0.91 1.2 -0.83 -0.58 -0.78 -0.048 -1.3 1.2 8.3e+03 6.2e-05 0.00095 0.22 +
49 -0.91 1.2 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 3.2e-05 0.00095 0.56 +
50 -0.91 1.2 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 3.2e-05 0.00048 -0.056 -
51 -0.91 1.2 -0.83 -0.58 -0.78 -0.047 -1.3 1.2 8.3e+03 8.7e-06 0.00048 0.77 +
52 -0.91 1.2 -0.83 -0.58 -0.78 -0.048 -1.3 1.2 8.3e+03 1.4e-05 0.00048 0.71 +
53 -0.91 1.2 -0.83 -0.58 -0.78 -0.048 -1.3 1.2 8.3e+03 1.2e-05 0.00048 0.53 +
54 -0.91 1.2 -0.83 -0.58 -0.78 -0.048 -1.3 1.2 8.3e+03 1.8e-05 0.00048 0.23 +
55 -0.91 1.2 -0.83 -0.58 -0.78 -0.048 -1.3 1.2 8.3e+03 1.8e-05 0.00024 -0.71 -
56 -0.91 1.2 -0.83 -0.58 -0.78 -0.048 -1.3 1.2 8.3e+03 1.8e-05 0.00024 0.39 +
57 -0.91 1.2 -0.83 -0.58 -0.78 -0.048 -1.3 1.2 8.3e+03 3.8e-06 0.00024 0.61 +
Considering neighbor 1/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:generic;model_catalog:nested public;train_tt_catalog:linear [8254.089930343114, 8]
Attempt 32/100
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000070
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train square_tt_coef cube_tt_coef b_cost b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -1.1 -
1 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.59 -
2 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.067 -
3 -0.12 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 -0.12 0.12 1.9 9.7e+03 3.6 0.12 0.39 +
4 -0.12 -0.12 -0.12 -0.12 0 0 -0.12 0.12 0.12 0.12 -0.12 0.12 1.9 9.7e+03 3.6 0.062 -3.5 -
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122 -0.26 0.44 0.2 -1.9 -0.1 0.00019 -0.58 -1.9 -0.51 -0.0092 -0.42 -1.2 2.5 8.2e+03 1.7 0.011 -0.14 -
123 -0.26 0.44 0.2 -1.9 -0.1 0.00019 -0.58 -1.9 -0.51 -0.0092 -0.42 -1.2 2.5 8.2e+03 1.7 0.0056 -0.075 -
124 -0.27 0.44 0.2 -1.9 -0.1 0.0002 -0.58 -1.8 -0.51 -0.0081 -0.42 -1.2 2.5 8.2e+03 6.4 0.0056 0.15 +
125 -0.27 0.43 0.2 -1.9 -0.1 0.0002 -0.58 -1.8 -0.51 -0.009 -0.42 -1.2 2.5 8.2e+03 0.37 0.056 0.99 ++
126 -0.25 0.43 0.21 -2 -0.1 0.00019 -0.61 -1.9 -0.5 -0.00084 -0.42 -1.3 2.4 8.2e+03 0.1 0.056 0.72 +
127 -0.23 0.45 0.22 -2 -0.11 0.00021 -0.58 -1.9 -0.49 -0.025 -0.42 -1.3 2.4 8.2e+03 3.4 0.056 0.48 +
128 -0.23 0.45 0.22 -2 -0.11 0.00021 -0.58 -1.9 -0.49 -0.025 -0.42 -1.3 2.4 8.2e+03 3.4 0.028 0.056 -
129 -0.23 0.45 0.22 -2 -0.11 0.0002 -0.61 -1.9 -0.49 -0.017 -0.43 -1.3 2.4 8.2e+03 1 0.028 0.69 +
130 -0.23 0.45 0.22 -2 -0.11 0.0002 -0.61 -1.9 -0.49 -0.017 -0.43 -1.3 2.4 8.2e+03 1 0.014 -0.99 -
131 -0.23 0.45 0.22 -2 -0.1 0.0002 -0.6 -1.9 -0.49 -0.013 -0.43 -1.3 2.4 8.2e+03 0.92 0.014 0.32 +
132 -0.23 0.45 0.22 -2 -0.11 0.0002 -0.61 -1.9 -0.49 -0.02 -0.43 -1.3 2.3 8.2e+03 0.62 0.014 0.8 +
133 -0.23 0.45 0.22 -2 -0.11 0.0002 -0.61 -1.9 -0.49 -0.02 -0.43 -1.3 2.3 8.2e+03 0.62 0.0069 -0.17 -
134 -0.23 0.45 0.23 -2 -0.11 0.0002 -0.6 -1.9 -0.49 -0.014 -0.43 -1.3 2.3 8.2e+03 0.29 0.0069 0.45 +
135 -0.23 0.45 0.23 -2 -0.11 0.0002 -0.61 -1.9 -0.49 -0.02 -0.43 -1.3 2.3 8.2e+03 0.075 0.0069 0.87 +
136 -0.22 0.45 0.23 -2 -0.11 0.0002 -0.61 -1.9 -0.49 -0.015 -0.43 -1.3 2.3 8.2e+03 0.51 0.0069 0.68 +
137 -0.22 0.46 0.23 -2.1 -0.11 0.0002 -0.61 -1.9 -0.49 -0.02 -0.43 -1.3 2.3 8.2e+03 0.94 0.0069 0.66 +
138 -0.22 0.45 0.23 -2.1 -0.11 0.0002 -0.61 -1.9 -0.49 -0.018 -0.43 -1.3 2.3 8.2e+03 0.21 0.0069 0.63 +
139 -0.22 0.45 0.23 -2.1 -0.11 0.0002 -0.61 -1.9 -0.49 -0.018 -0.43 -1.3 2.3 8.2e+03 0.21 0.0035 -0.024 -
140 -0.22 0.45 0.23 -2.1 -0.11 0.0002 -0.61 -1.9 -0.48 -0.018 -0.43 -1.3 2.3 8.2e+03 0.28 0.0035 0.85 +
141 -0.22 0.46 0.23 -2.1 -0.11 0.0002 -0.61 -1.9 -0.48 -0.018 -0.43 -1.3 2.3 8.2e+03 0.24 0.0035 0.86 +
142 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -1.9 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.087 0.0035 0.88 +
143 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.018 -0.43 -1.3 2.3 8.2e+03 0.046 0.0035 0.89 +
144 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.12 0.0035 0.82 +
145 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.033 0.035 0.94 ++
146 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.033 0.017 -1.9 -
147 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.033 0.0087 -0.09 -
148 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.021 -0.43 -1.3 2.3 8.2e+03 0.54 0.0087 0.51 +
149 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.021 -0.43 -1.3 2.3 8.2e+03 0.54 0.0043 -3.7 -
150 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.021 -0.43 -1.3 2.3 8.2e+03 0.54 0.0022 -0.34 -
151 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.018 0.0022 0.65 +
152 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.018 0.0011 -0.3 -
153 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.099 0.0011 0.59 +
154 -0.22 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.11 0.0011 0.17 +
155 -0.21 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.0034 0.011 0.97 ++
156 -0.21 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.0034 0.0054 -2.2 -
157 -0.21 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.019 -0.43 -1.3 2.3 8.2e+03 0.0034 0.0027 -0.16 -
158 -0.21 0.46 0.24 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.04 0.0027 0.44 +
159 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0016 0.0027 0.74 +
160 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0016 0.0014 -0.31 -
161 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.006 0.0014 0.35 +
162 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.006 0.00068 -0.83 -
163 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.006 0.00034 -0.0061 -
164 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.006 0.00017 0.097 -
165 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.012 0.00017 0.36 +
166 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0013 0.0017 0.98 ++
167 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0013 0.00085 -5.2 -
168 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0013 0.00042 -1.9 -
169 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0013 0.00021 -0.51 -
170 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0022 0.00021 0.51 +
171 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0022 0.00011 -3.2 -
172 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0022 5.3e-05 -0.29 -
173 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0012 5.3e-05 0.32 +
174 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00022 0.00053 0.91 ++
175 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00022 0.00026 -0.84 -
176 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00022 0.00013 -0.0011 -
177 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 8.5e-05 0.00013 0.51 +
178 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00022 0.00013 0.3 +
179 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00022 6.6e-05 -1 -
180 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00022 3.3e-05 -0.27 -
181 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0032 3.3e-05 0.71 +
182 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 7.1e-05 3.3e-05 0.55 +
183 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.0009 3.3e-05 0.8 +
184 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00071 3.3e-05 0.59 +
185 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00074 3.3e-05 0.75 +
186 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00065 3.3e-05 0.17 +
187 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 0.00065 1.7e-05 -0.7 -
188 -0.21 0.46 0.25 -2.1 -0.11 0.0002 -0.61 -2 -0.48 -0.02 -0.43 -1.3 2.3 8.2e+03 8.5e-07 1.7e-05 0.7 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 18 unknown parameters [max: 50]
*** Estimate b07everything_000071
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.55 0.5 -1 -
1 1.1e+04 0.55 0.25 -0.64 -
2 1.1e+04 0.55 0.12 -0.25 -
3 1e+04 4.6 0.12 0.16 +
4 1e+04 4.6 0.062 0.16 -
5 1e+04 4.6 0.031 -1.5 -
6 1e+04 4.6 0.016 -0.81 -
7 1e+04 4.6 0.0078 -0.5 -
8 1e+04 4.6 0.0039 -0.28 -
9 1e+04 4.6 0.002 -0.012 -
10 1e+04 2.3 0.002 0.27 +
11 9.9e+03 0.95 0.02 1.2 ++
12 9.8e+03 0.26 0.2 0.94 ++
13 9.8e+03 0.26 0.098 -0.93 -
14 9.6e+03 3.6 0.098 0.22 +
15 9.6e+03 3.6 0.049 -0.53 -
16 9.6e+03 3.6 0.024 -0.12 -
17 9.5e+03 0.99 0.024 0.26 +
18 9.5e+03 1.2 0.024 0.49 +
19 9.5e+03 1.2 0.012 -0.88 -
20 9.3e+03 0.27 0.012 0.86 +
21 9.3e+03 0.27 0.0061 -0.58 -
22 9.3e+03 0.27 0.0031 -0.74 -
23 9.3e+03 0.27 0.0015 -0.078 -
24 9.3e+03 0.49 0.0015 0.16 +
25 9.3e+03 0.24 0.015 1.3 ++
26 9.3e+03 1.3 0.015 0.82 +
27 9.2e+03 0.29 0.015 0.83 +
28 9.2e+03 0.073 0.15 0.98 ++
29 9e+03 2.6 0.15 0.59 +
30 9e+03 2.6 0.076 0.039 -
31 8.9e+03 6.9 0.076 0.45 +
32 8.8e+03 1.7 0.076 0.42 +
33 8.7e+03 2.1 0.076 0.76 +
34 8.7e+03 2.1 0.038 -2.4 -
35 8.7e+03 2.1 0.019 -1.1 -
36 8.7e+03 2.1 0.0095 -0.44 -
37 8.7e+03 2.1 0.0048 -0.095 -
38 8.7e+03 2.1 0.0024 0.087 -
39 8.7e+03 2 0.024 1.1 ++
40 8.6e+03 2 0.024 0.44 +
41 8.6e+03 1.3 0.24 1.2 ++
42 8.6e+03 1.3 0.12 -3.7 -
43 8.6e+03 1.3 0.06 -1.9 -
44 8.6e+03 1.3 0.03 -1.1 -
45 8.6e+03 1.3 0.015 -0.92 -
46 8.6e+03 1.3 0.0075 -1.1 -
47 8.6e+03 1.3 0.0037 -1.5 -
48 8.6e+03 1.3 0.0019 -2 -
49 8.6e+03 1.3 0.00093 -2.4 -
50 8.6e+03 1.3 0.00047 -1.7 -
51 8.6e+03 1.3 0.00023 -0.61 -
52 8.6e+03 1.3 0.00012 0.086 -
53 8.6e+03 0.18 0.00012 0.55 +
54 8.6e+03 0.039 0.0012 1 ++
55 8.6e+03 0.2 0.012 1 ++
56 8.6e+03 0.82 0.12 0.95 ++
57 8.4e+03 3.3 0.12 0.79 +
58 8.4e+03 3.3 0.058 -6.3 -
59 8.4e+03 3.3 0.029 -3.1 -
60 8.4e+03 3.3 0.015 -0.76 -
61 8.4e+03 4.8 0.015 0.12 +
62 8.4e+03 2.4 0.015 0.89 +
63 8.4e+03 4.5 0.015 0.4 +
64 8.4e+03 0.96 0.015 0.86 +
65 8.4e+03 0.89 0.15 0.91 ++
66 8.4e+03 2.6 0.15 0.71 +
67 8.3e+03 0.85 0.15 0.45 +
68 8.3e+03 0.85 0.073 -3.6 -
69 8.3e+03 0.85 0.036 -2.2 -
70 8.3e+03 0.86 0.036 0.15 +
71 8.3e+03 0.69 0.36 0.94 ++
72 8.3e+03 0.69 0.18 -7 -
73 8.3e+03 0.69 0.091 -1.8 -
74 8.3e+03 0.69 0.045 -1.5 -
75 8.3e+03 0.69 0.023 -1.4 -
76 8.3e+03 0.69 0.011 -0.45 -
77 8.3e+03 1.2 0.011 0.44 +
78 8.3e+03 0.35 0.011 0.89 +
79 8.3e+03 0.74 0.11 0.94 ++
80 8.3e+03 1.2 0.11 0.85 +
81 8.3e+03 1.2 0.057 -0.59 -
82 8.3e+03 3.1 0.057 0.41 +
83 8.3e+03 2.3 0.057 0.73 +
84 8.2e+03 4.5 0.057 0.71 +
85 8.2e+03 0.91 0.057 0.48 +
86 8.2e+03 2.2 0.57 0.93 ++
87 8.2e+03 2.2 0.28 -16 -
88 8.2e+03 2.2 0.14 -6.3 -
89 8.2e+03 2.2 0.071 -2.6 -
90 8.2e+03 2.2 0.036 0.024 -
91 8.2e+03 4 0.036 0.87 +
92 8.2e+03 3.1 0.36 0.96 ++
93 8.2e+03 3.1 0.18 -0.3 -
94 8.2e+03 3.1 0.089 0.022 -
95 8.2e+03 0.31 0.089 0.46 +
96 8.2e+03 10 0.089 0.53 +
97 8.2e+03 10 0.044 -0.53 -
98 8.2e+03 10 0.022 -0.22 -
99 8.2e+03 7 0.022 0.53 +
100 8.2e+03 0.049 0.022 0.76 +
101 8.2e+03 1.3 0.022 0.66 +
102 8.2e+03 1.9 0.22 0.97 ++
103 8.2e+03 9.6 0.22 0.34 +
104 8.2e+03 9.6 0.11 -1.2 -
105 8.2e+03 9.6 0.056 -0.0078 -
106 8.2e+03 19 0.056 0.39 +
107 8.2e+03 19 0.028 -0.37 -
108 8.2e+03 19 0.014 -0.0059 -
109 8.2e+03 17 0.014 0.12 +
110 8.2e+03 1.3 0.14 1.1 ++
111 8.2e+03 3.3 0.14 0.63 +
112 8.2e+03 3.3 0.069 -1.7 -
113 8.2e+03 2.2 0.069 0.44 +
114 8.2e+03 2.2 0.035 -3.4 -
115 8.2e+03 2.2 0.017 -1.6 -
116 8.2e+03 9.4 0.017 0.28 +
117 8.2e+03 6.9 0.017 0.64 +
118 8.2e+03 1.4 0.17 0.96 ++
119 8.2e+03 1.4 0.087 -1.2 -
120 8.2e+03 1.4 0.043 -0.31 -
121 8.2e+03 1.4 0.022 -0.21 -
122 8.2e+03 1.4 0.011 -1.1 -
123 8.2e+03 1.4 0.0054 -0.052 -
124 8.2e+03 0.22 0.0054 0.46 +
125 8.2e+03 1.5 0.0054 0.54 +
126 8.2e+03 0.73 0.0054 0.89 +
127 8.2e+03 0.11 0.054 0.93 ++
128 8.2e+03 5.1 0.054 0.7 +
129 8.2e+03 2.4 0.054 0.17 +
130 8.2e+03 7.5 0.054 0.71 +
131 8.2e+03 7.5 0.027 -1 -
132 8.2e+03 3.4 0.027 0.35 +
133 8.1e+03 1.7 0.027 0.83 +
134 8.1e+03 3.5 0.027 0.17 +
135 8.1e+03 1.1 0.027 0.78 +
136 8.1e+03 1.1 0.014 -0.097 -
137 8.1e+03 0.79 0.014 0.58 +
138 8.1e+03 0.24 0.014 0.63 +
139 8.1e+03 0.8 0.014 0.79 +
140 8.1e+03 0.11 0.14 0.95 ++
141 8.1e+03 3.1 0.14 0.31 +
142 8.1e+03 3.1 0.068 -16 -
143 8.1e+03 3.1 0.034 -3.9 -
144 8.1e+03 3.1 0.017 -0.47 -
145 8.1e+03 0.4 0.017 0.54 +
146 8.1e+03 3.4 0.017 0.36 +
147 8.1e+03 0.26 0.017 0.42 +
148 8.1e+03 0.26 0.0085 -0.24 -
149 8.1e+03 1.6 0.0085 0.5 +
150 8.1e+03 0.64 0.0085 0.33 +
151 8.1e+03 0.64 0.0042 -0.079 -
152 8.1e+03 0.18 0.0042 0.75 +
153 8.1e+03 0.24 0.0042 0.62 +
154 8.1e+03 0.24 0.0021 0.078 -
155 8.1e+03 0.23 0.0021 0.66 +
156 8.1e+03 0.23 0.0011 -1.5 -
157 8.1e+03 0.033 0.0011 0.14 +
158 8.1e+03 0.16 0.0011 0.72 +
159 8.1e+03 0.1 0.0011 0.76 +
160 8.1e+03 0.00056 0.011 0.96 ++
161 8.1e+03 0.00056 0.0053 -0.14 -
162 8.1e+03 0.14 0.0053 0.31 +
163 8.1e+03 0.14 0.0026 -0.15 -
164 8.1e+03 0.079 0.0026 0.7 +
165 8.1e+03 0.054 0.0026 0.16 +
166 8.1e+03 0.022 0.0026 0.83 +
167 8.1e+03 0.051 0.0026 0.44 +
168 8.1e+03 0.29 0.0026 0.87 +
169 8.1e+03 0.0072 0.0026 0.1 +
170 8.1e+03 0.19 0.0026 0.61 +
171 8.1e+03 0.19 0.0013 -0.34 -
172 8.1e+03 0.17 0.0013 0.25 +
173 8.1e+03 0.062 0.0013 0.84 +
174 8.1e+03 0.0032 0.0013 0.6 +
175 8.1e+03 0.013 0.013 0.91 ++
176 8.1e+03 0.24 0.013 0.42 +
177 8.1e+03 0.24 0.0066 -3.7 -
178 8.1e+03 0.24 0.0033 -1.1 -
179 8.1e+03 0.24 0.0017 -0.42 -
180 8.1e+03 0.17 0.0017 0.58 +
181 8.1e+03 0.063 0.0017 0.12 +
182 8.1e+03 0.063 0.00083 -0.83 -
183 8.1e+03 0.041 0.00083 0.43 +
184 8.1e+03 0.041 0.00041 0.015 -
185 8.1e+03 0.017 0.00041 0.86 +
186 8.1e+03 0.017 0.00021 -0.34 -
187 8.1e+03 0.0065 0.00021 0.72 +
188 8.1e+03 0.0065 0.0001 -0.45 -
189 8.1e+03 0.0036 0.0001 0.57 +
190 8.1e+03 0.0052 0.0001 0.85 +
191 8.1e+03 0.0026 0.0001 0.7 +
192 8.1e+03 0.0067 0.0001 0.37 +
193 8.1e+03 0.0067 5.2e-05 -0.49 -
194 8.1e+03 0.0073 5.2e-05 0.43 +
195 8.1e+03 0.0048 5.2e-05 0.46 +
196 8.1e+03 0.0017 5.2e-05 0.76 +
197 8.1e+03 0.00064 5.2e-05 0.24 +
198 8.1e+03 0.0009 0.00052 0.94 ++
199 8.1e+03 0.0009 0.00026 -3 -
200 8.1e+03 0.0009 0.00013 -1.4 -
201 8.1e+03 0.0009 6.5e-05 -0.24 -
202 8.1e+03 0.0021 6.5e-05 0.16 +
203 8.1e+03 0.0025 6.5e-05 0.6 +
204 8.1e+03 0.0025 3.2e-05 -0.26 -
205 8.1e+03 0.00098 3.2e-05 0.59 +
206 8.1e+03 0.00098 1.6e-05 0.075 -
207 8.1e+03 0.0001 1.6e-05 0.65 +
208 8.1e+03 0.00056 1.6e-05 0.9 +
209 8.1e+03 6.2e-05 0.00016 0.99 ++
210 8.1e+03 6.2e-05 8.1e-05 -0.16 -
211 8.1e+03 0.0018 8.1e-05 0.45 +
212 8.1e+03 0.0018 4e-05 -4.6 -
213 8.1e+03 0.0018 2e-05 -0.77 -
214 8.1e+03 4e-06 2e-05 0.83 -
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000072
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st lambda_travel_t b_cost asc_car mu_existing Function Relgrad Radius Rho
0 0 0 0 1 0 0 1.8 1.1e+04 0.28 0.5 -0.14 -
1 -0.5 -0.5 -0.5 1 -0.5 0.5 2.3 9.1e+03 0.2 0.5 0.28 +
2 0 -0.67 -0.61 0.99 -0.55 0 2.1 8.7e+03 0.12 0.5 0.43 +
3 -0.5 -1.1 -0.75 0.95 -0.62 0.043 2 8.7e+03 0.065 0.5 0.1 +
4 -0.5 -1.1 -0.75 0.95 -0.62 0.043 2 8.7e+03 0.065 0.25 -0.33 -
5 -0.34 -0.81 -0.6 0.73 -0.75 0.1 1.9 8.5e+03 0.013 0.25 0.76 +
6 -0.34 -0.81 -0.6 0.73 -0.75 0.1 1.9 8.5e+03 0.013 0.12 -2.2 -
7 -0.34 -0.81 -0.6 0.73 -0.75 0.1 1.9 8.5e+03 0.013 0.062 -0.39 -
8 -0.34 -0.87 -0.67 0.67 -0.69 0.039 2 8.4e+03 0.0082 0.062 0.43 +
9 -0.33 -0.86 -0.62 0.61 -0.68 0.085 2 8.4e+03 0.0045 0.062 0.71 +
10 -0.33 -0.86 -0.62 0.61 -0.68 0.085 2 8.4e+03 0.0045 0.031 -0.38 -
11 -0.31 -0.89 -0.62 0.6 -0.67 0.055 2 8.4e+03 0.0084 0.031 0.26 +
12 -0.32 -0.92 -0.61 0.58 -0.68 0.085 2 8.4e+03 0.0069 0.031 0.46 +
13 -0.29 -0.92 -0.59 0.57 -0.68 0.089 2 8.4e+03 0.0041 0.031 0.5 +
14 -0.29 -0.95 -0.58 0.56 -0.67 0.088 2 8.4e+03 0.0016 0.031 0.73 +
15 -0.29 -0.95 -0.58 0.56 -0.67 0.088 2 8.4e+03 0.0016 0.016 -0.039 -
16 -0.28 -0.95 -0.57 0.55 -0.68 0.1 2 8.4e+03 0.0028 0.016 0.49 +
17 -0.28 -0.97 -0.57 0.55 -0.67 0.095 2 8.4e+03 0.0015 0.016 0.84 +
18 -0.28 -0.97 -0.56 0.54 -0.67 0.11 2 8.4e+03 0.0029 0.016 0.29 +
19 -0.26 -0.98 -0.56 0.53 -0.67 0.11 2 8.4e+03 0.0021 0.016 0.44 +
20 -0.27 -1 -0.56 0.53 -0.67 0.11 2 8.4e+03 0.0014 0.016 0.34 +
21 -0.27 -1 -0.56 0.53 -0.67 0.11 2 8.4e+03 0.0014 0.0078 -0.34 -
22 -0.26 -1 -0.55 0.53 -0.67 0.11 2 8.4e+03 0.001 0.0078 0.55 +
23 -0.26 -1 -0.55 0.53 -0.67 0.11 2 8.4e+03 0.001 0.0039 -0.47 -
24 -0.26 -1 -0.55 0.52 -0.67 0.11 2 8.4e+03 0.001 0.0039 0.38 +
25 -0.26 -1 -0.55 0.52 -0.67 0.11 2 8.4e+03 0.00065 0.0039 0.7 +
26 -0.26 -1 -0.55 0.52 -0.67 0.11 2 8.4e+03 0.00046 0.0039 0.71 +
27 -0.26 -1 -0.55 0.52 -0.67 0.12 2 8.4e+03 0.00041 0.0039 0.64 +
28 -0.25 -1 -0.54 0.52 -0.67 0.12 2 8.4e+03 0.00042 0.0039 0.59 +
29 -0.25 -1 -0.54 0.52 -0.67 0.12 2 8.4e+03 0.00042 0.0039 0.43 +
30 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 0.00021 0.0039 0.4 +
31 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 0.00021 0.002 -0.24 -
32 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 8.4e-05 0.002 0.58 +
33 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 8.4e-05 0.00098 -3.7 -
34 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 8.4e-05 0.00049 -0.69 -
35 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 6.9e-05 0.00049 0.43 +
36 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 5e-05 0.00049 0.23 +
37 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 3.4e-05 0.00049 0.46 +
38 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 3.4e-05 0.00024 -2.1 -
39 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 3.4e-05 0.00012 -0.89 -
40 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 3.4e-05 6.1e-05 -0.18 -
41 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 2e-05 6.1e-05 0.43 +
42 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 1.6e-05 0.00061 0.93 ++
43 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 1.6e-05 0.00031 -1.1 -
44 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 1.6e-05 0.00015 -0.067 -
45 -0.25 -1 -0.54 0.51 -0.67 0.12 2 8.4e+03 6e-06 0.00015 0.92 -
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 33/100
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000073
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.31 0.5 -0.83 -
1 1.1e+04 0.31 0.25 -0.41 -
2 1.1e+04 0.31 0.12 0.035 -
3 9.6e+03 0.13 0.12 0.44 +
4 9e+03 0.047 0.12 0.61 +
5 8.7e+03 0.05 0.12 0.61 +
6 8.6e+03 0.047 0.12 0.64 +
7 8.5e+03 0.064 0.12 0.46 +
8 8.4e+03 0.023 0.12 0.85 +
9 8.3e+03 0.033 0.12 0.74 +
10 8.3e+03 0.032 0.12 0.57 +
11 8.3e+03 0.032 0.062 -0.16 -
12 8.2e+03 0.02 0.062 0.71 +
13 8.2e+03 0.02 0.031 -0.28 -
14 8.2e+03 0.021 0.031 0.42 +
15 8.2e+03 0.0091 0.31 0.95 ++
16 8.2e+03 0.03 0.31 0.54 +
17 8.2e+03 0.016 0.31 0.2 +
18 8.2e+03 0.016 0.16 -0.47 -
19 8.1e+03 0.015 0.16 0.74 +
20 8.1e+03 0.0072 0.16 0.49 +
21 8.1e+03 0.0072 0.078 -1.7 -
22 8.1e+03 0.014 0.078 0.18 +
23 8.1e+03 0.014 0.039 -0.4 -
24 8.1e+03 0.0088 0.039 0.44 +
25 8.1e+03 0.01 0.039 0.28 +
26 8.1e+03 0.0045 0.039 0.84 +
27 8.1e+03 0.0035 0.039 0.76 +
28 8.1e+03 0.004 0.039 0.79 +
29 8.1e+03 0.0021 0.039 0.85 +
30 8.1e+03 0.0033 0.039 0.75 +
31 8.1e+03 0.0052 0.039 0.47 +
32 8.1e+03 0.0032 0.039 0.62 +
33 8.1e+03 0.0032 0.02 0.093 -
34 8.1e+03 0.00089 0.02 0.81 +
35 8.1e+03 0.00089 0.0098 -2.3 -
36 8.1e+03 0.00089 0.0049 -1.5 -
37 8.1e+03 0.0019 0.0049 0.15 +
38 8.1e+03 0.00086 0.049 0.91 ++
39 8.1e+03 0.0026 0.049 0.13 +
40 8.1e+03 0.0027 0.049 0.31 +
41 8.1e+03 0.0027 0.024 -2 -
42 8.1e+03 0.0026 0.024 0.42 +
43 8.1e+03 0.0026 0.012 0.048 -
44 8.1e+03 0.0013 0.012 0.61 +
45 8.1e+03 0.0013 0.0061 -0.44 -
46 8.1e+03 0.001 0.0061 0.25 +
47 8.1e+03 0.001 0.0031 -0.6 -
48 8.1e+03 0.00027 0.0031 0.84 +
49 8.1e+03 0.00032 0.0031 0.66 +
50 8.1e+03 0.00026 0.0031 0.87 +
51 8.1e+03 0.00045 0.0031 0.48 +
52 8.1e+03 0.00017 0.0031 0.59 +
53 8.1e+03 0.00028 0.0031 0.88 +
54 8.1e+03 0.00012 0.0031 0.89 +
55 8.1e+03 9.5e-05 0.0031 0.69 +
56 8.1e+03 9.5e-05 0.0015 -0.69 -
57 8.1e+03 9.5e-05 0.00076 0.018 -
58 8.1e+03 8e-05 0.00076 0.72 +
59 8.1e+03 0.00014 0.00076 0.4 +
60 8.1e+03 6e-05 0.00076 0.72 +
61 8.1e+03 2.5e-05 0.00076 0.82 +
62 8.1e+03 7.3e-05 0.00076 0.74 +
63 8.1e+03 7.9e-05 0.00076 0.46 +
64 8.1e+03 6.4e-05 0.00076 0.84 +
65 8.1e+03 4.3e-05 0.0076 0.9 ++
66 8.1e+03 4.3e-05 0.0038 -0.098 -
67 8.1e+03 6.9e-05 0.0038 0.51 +
68 8.1e+03 6.9e-05 0.0019 -2.2 -
69 8.1e+03 6.9e-05 0.00095 -2.1 -
70 8.1e+03 3.9e-05 0.00095 0.36 +
71 8.1e+03 3.9e-05 0.00048 -0.086 -
72 8.1e+03 1.4e-05 0.00048 0.81 +
73 8.1e+03 1.4e-05 0.00024 -0.025 -
74 8.1e+03 3.3e-05 0.00024 0.48 +
75 8.1e+03 1.1e-05 0.00024 0.75 +
76 8.1e+03 9.7e-06 0.00024 0.76 +
77 8.1e+03 1.3e-05 0.00024 0.87 +
78 8.1e+03 8.4e-06 0.0024 0.92 ++
79 8.1e+03 2.4e-05 0.0024 0.23 +
80 8.1e+03 2.4e-05 0.0012 -5.1 -
81 8.1e+03 2.4e-05 0.0006 -3 -
82 8.1e+03 2.4e-05 0.0003 -0.038 -
83 8.1e+03 1.1e-05 0.0003 0.68 +
84 8.1e+03 6.6e-06 0.0003 0.45 +
85 8.1e+03 6.6e-06 0.00015 -2.8 -
86 8.1e+03 6.6e-06 7.5e-05 -0.3 -
87 8.1e+03 3.6e-06 7.5e-05 0.52 -
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:altspec;b_time:no_seg;b_time_gen_altspec:altspec;model_catalog:nested existing;train_tt_catalog:boxcox [8090.931924816424, 16]
Attempt 34/100
Biogeme parameters read from biogeme.toml.
Model with 17 unknown parameters [max: 50]
*** Estimate b07everything_000074
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.22 0.5 -0.61 -
1 1.1e+04 0.22 0.25 0.094 -
2 9.3e+03 0.058 0.25 0.59 +
3 9.3e+03 0.058 0.12 -1.1 -
4 9.3e+03 0.058 0.062 0.0054 -
5 9.2e+03 0.037 0.062 0.52 +
6 9.1e+03 0.044 0.062 0.89 +
7 9e+03 0.056 0.62 0.98 ++
8 9e+03 0.056 0.31 -1.8 -
9 8.8e+03 0.09 0.31 0.3 +
10 8.6e+03 0.073 0.31 0.36 +
11 8.6e+03 0.073 0.16 -1.4 -
12 8.5e+03 0.046 0.16 0.47 +
13 8.5e+03 0.043 0.16 0.46 +
14 8.5e+03 0.043 0.078 -0.24 -
15 8.4e+03 0.029 0.078 0.59 +
16 8.4e+03 0.01 0.078 0.86 +
17 8.4e+03 0.018 0.078 0.77 +
18 8.4e+03 0.018 0.078 0.58 +
19 8.3e+03 0.0077 0.78 0.91 ++
20 8.3e+03 0.0077 0.39 -2.3 -
21 8.3e+03 0.0077 0.2 -1.9 -
22 8.3e+03 0.0077 0.098 -0.47 -
23 8.3e+03 0.033 0.098 0.16 +
24 8.3e+03 0.0078 0.098 0.78 +
25 8.3e+03 0.013 0.098 0.3 +
26 8.3e+03 0.0034 0.098 0.88 +
27 8.3e+03 0.0034 0.049 -0.41 -
28 8.3e+03 0.0097 0.049 0.15 +
29 8.3e+03 0.0075 0.049 0.89 +
30 8.3e+03 0.0066 0.049 0.69 +
31 8.3e+03 0.0069 0.49 1 ++
32 8.3e+03 0.0069 0.14 -0.58 -
33 8.3e+03 0.0069 0.071 -0.018 -
34 8.3e+03 0.0093 0.071 0.61 +
35 8.3e+03 0.011 0.071 0.79 +
36 8.3e+03 0.0067 0.71 1 ++
37 8.3e+03 0.0067 0.11 -2.7 -
38 8.3e+03 0.0067 0.057 -0.46 -
39 8.3e+03 0.0055 0.057 0.46 +
40 8.3e+03 0.0055 0.029 -1.3 -
41 8.3e+03 0.0055 0.014 0.097 -
42 8.3e+03 0.0055 0.0071 0.094 -
43 8.3e+03 0.0028 0.0071 0.67 +
44 8.3e+03 0.0038 0.0071 0.5 +
45 8.3e+03 0.0029 0.071 0.94 ++
46 8.3e+03 0.0057 0.071 0.87 +
47 8.3e+03 0.0046 0.71 0.91 ++
48 8.3e+03 0.0036 7.1 1 ++
49 8.3e+03 0.0036 3.6 -46 -
50 8.3e+03 0.0036 1.8 -17 -
51 8.3e+03 0.0036 0.89 -7.8 -
52 8.3e+03 0.0036 0.45 -2.4 -
53 8.3e+03 0.0036 0.22 -0.75 -
54 8.3e+03 0.0036 0.11 0.074 -
55 8.3e+03 0.0042 0.11 0.68 +
56 8.3e+03 0.0042 0.056 -0.5 -
57 8.3e+03 0.0042 0.028 -0.17 -
58 8.3e+03 0.0025 0.028 0.54 +
59 8.3e+03 0.0018 0.028 0.88 +
60 8.3e+03 0.0022 0.028 0.89 +
61 8.3e+03 0.0018 0.028 0.59 +
62 8.3e+03 0.0013 0.028 0.26 +
63 8.3e+03 0.0013 0.014 -0.76 -
64 8.3e+03 0.00037 0.014 0.87 +
65 8.3e+03 0.00037 0.007 -1.7 -
66 8.3e+03 0.00037 0.0035 -0.049 -
67 8.3e+03 0.0004 0.0035 0.64 +
68 8.3e+03 0.00045 0.0035 0.43 +
69 8.3e+03 0.00031 0.0035 0.66 +
70 8.3e+03 0.00024 0.0035 0.68 +
71 8.3e+03 0.00031 0.035 0.93 ++
72 8.3e+03 0.00055 0.035 0.59 +
73 8.3e+03 0.00055 0.017 -0.11 -
74 8.3e+03 0.00031 0.017 0.31 +
75 8.3e+03 0.00031 0.0087 -2.1 -
76 8.3e+03 0.00031 0.0044 -0.14 -
77 8.3e+03 0.00027 0.0044 0.5 +
78 8.3e+03 0.00017 0.0044 0.3 +
79 8.3e+03 0.00017 0.0022 -0.64 -
80 8.3e+03 0.00012 0.0022 0.82 +
81 8.3e+03 0.00012 0.0011 -0.98 -
82 8.3e+03 9.7e-05 0.0011 0.15 +
83 8.3e+03 4.6e-05 0.0011 0.83 +
84 8.3e+03 2.9e-05 0.011 0.92 ++
85 8.3e+03 2.9e-05 0.0054 -0.049 -
86 8.3e+03 8.4e-05 0.0054 0.35 +
87 8.3e+03 5.9e-05 0.0054 0.33 +
88 8.3e+03 5.9e-05 0.0027 -5.3 -
89 8.3e+03 5.9e-05 0.0014 -1.6 -
90 8.3e+03 5.9e-05 0.00068 -0.094 -
91 8.3e+03 4.7e-05 0.00068 0.81 +
92 8.3e+03 2.1e-05 0.00068 0.5 +
93 8.3e+03 2.1e-05 0.00034 -0.83 -
94 8.3e+03 1.8e-05 0.00034 0.51 +
95 8.3e+03 9.7e-06 0.00034 0.43 +
96 8.3e+03 9.7e-06 0.00017 -1.5 -
97 8.3e+03 4.1e-06 0.00017 0.58 -
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 35/100
Considering neighbor 0/20 for current solution
Attempt 36/100
Considering neighbor 0/20 for current solution
Attempt 37/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000075
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -2 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.29 -
2 -0.25 -0.00017 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 2.5 1 ++
3 -0.25 -0.00017 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 1.2 -4.3 -
4 -0.25 -0.00017 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 0.62 -2.8 -
5 -0.25 -0.00017 -0.15 -0.0057 -0.25 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 1.5 0.31 -1.1 -
6 -0.44 0.043 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.042 -0.079 -0.017 -0.0059 0.016 9.3e+03 12 0.31 0.23 +
7 -0.44 0.043 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.042 -0.079 -0.017 -0.0059 0.016 9.3e+03 12 0.16 -0.33 -
8 -0.44 0.043 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.042 -0.079 -0.017 -0.0059 0.016 9.3e+03 12 0.078 -0.051 -
9 -0.44 0.043 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.042 -0.079 -0.017 -0.0059 0.016 9.3e+03 12 0.039 0.022 -
10 -0.44 0.043 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.042 -0.079 -0.017 -0.0059 0.016 9.3e+03 12 0.02 0.038 -
11 -0.44 0.043 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.042 -0.079 -0.017 -0.0059 0.016 9.3e+03 12 0.0098 0.039 -
12 -0.44 0.043 -0.2 -0.0093 -0.56 0.22 -0.0045 -0.45 0.21 0.042 -0.079 -0.017 -0.0059 0.016 9.3e+03 12 0.0049 0.036 -
13 -0.44 0.045 -0.2 -0.0092 -0.56 0.23 0.00043 -0.45 0.2 0.044 -0.08 -0.017 -0.006 0.018 9.2e+03 6.5 0.0049 0.39 +
14 -0.44 0.045 -0.2 -0.0092 -0.56 0.23 0.00043 -0.45 0.2 0.044 -0.08 -0.017 -0.006 0.018 9.2e+03 6.5 0.0024 -0.37 -
15 -0.44 0.048 -0.2 -0.0068 -0.56 0.22 -0.002 -0.45 0.2 0.046 -0.083 -0.014 -0.0084 0.021 9.1e+03 3.9 0.0024 0.54 +
16 -0.44 0.048 -0.2 -0.0068 -0.55 0.22 -0.0016 -0.45 0.2 0.047 -0.083 -0.014 -0.0084 0.021 9e+03 2.5 0.024 1.3 ++
17 -0.44 0.048 -0.2 -0.0068 -0.55 0.22 -0.0016 -0.45 0.2 0.047 -0.083 -0.014 -0.0084 0.021 9e+03 2.5 0.012 -2.9 -
18 -0.44 0.048 -0.2 -0.0068 -0.55 0.22 -0.0016 -0.45 0.2 0.047 -0.083 -0.014 -0.0084 0.021 9e+03 2.5 0.0061 -3.6 -
19 -0.44 0.048 -0.2 -0.0068 -0.55 0.22 -0.0016 -0.45 0.2 0.047 -0.083 -0.014 -0.0084 0.021 9e+03 2.5 0.0031 -3.1 -
20 -0.44 0.048 -0.2 -0.0068 -0.55 0.22 -0.0016 -0.45 0.2 0.047 -0.083 -0.014 -0.0084 0.021 9e+03 2.5 0.0015 -2 -
21 -0.44 0.048 -0.2 -0.0068 -0.55 0.22 -0.0016 -0.45 0.2 0.047 -0.083 -0.014 -0.0084 0.021 9e+03 2.5 0.00076 -1.3 -
22 -0.44 0.048 -0.2 -0.0068 -0.55 0.22 -0.0016 -0.45 0.2 0.047 -0.083 -0.014 -0.0084 0.021 9e+03 2.5 0.00038 -0.19 -
23 -0.44 0.049 -0.19 -0.0064 -0.55 0.22 -0.0013 -0.45 0.2 0.047 -0.084 -0.015 -0.0088 0.021 9e+03 2.1 0.0038 1 ++
24 -0.44 0.049 -0.19 -0.0064 -0.55 0.22 -0.0011 -0.45 0.19 0.048 -0.084 -0.015 -0.0089 0.022 9e+03 5.9 0.0038 0.32 +
25 -0.44 0.05 -0.19 -0.0063 -0.55 0.22 -0.0015 -0.45 0.19 0.048 -0.085 -0.015 -0.0089 0.023 9e+03 2.5 0.0038 0.17 +
26 -0.44 0.05 -0.19 -0.0063 -0.55 0.22 -0.0015 -0.45 0.19 0.048 -0.085 -0.015 -0.0089 0.023 9e+03 2.5 0.0019 -2 -
27 -0.44 0.05 -0.19 -0.0063 -0.55 0.22 -0.0015 -0.45 0.19 0.048 -0.085 -0.015 -0.0089 0.023 9e+03 2.5 0.00095 -1.7 -
28 -0.44 0.05 -0.19 -0.0063 -0.55 0.22 -0.0015 -0.45 0.19 0.048 -0.085 -0.015 -0.0089 0.023 9e+03 2.5 0.00048 -1.1 -
29 -0.44 0.05 -0.19 -0.0063 -0.55 0.22 -0.0015 -0.45 0.19 0.048 -0.085 -0.015 -0.0089 0.023 9e+03 2.5 0.00024 0.039 -
30 -0.44 0.051 -0.19 -0.0061 -0.55 0.22 -0.0012 -0.45 0.19 0.049 -0.085 -0.015 -0.0092 0.023 9e+03 2.1 0.0024 0.98 ++
31 -0.44 0.051 -0.19 -0.0061 -0.55 0.22 -0.0011 -0.45 0.19 0.049 -0.086 -0.015 -0.0092 0.024 9e+03 5.6 0.0024 0.18 +
32 -0.44 0.052 -0.19 -0.006 -0.55 0.22 -0.0013 -0.46 0.18 0.049 -0.086 -0.015 -0.0092 0.024 9e+03 2.5 0.0024 0.33 +
33 -0.44 0.052 -0.19 -0.006 -0.55 0.22 -0.0013 -0.46 0.18 0.049 -0.086 -0.015 -0.0092 0.024 9e+03 2.5 0.0012 -2.7 -
34 -0.44 0.052 -0.19 -0.006 -0.55 0.22 -0.0013 -0.46 0.18 0.049 -0.086 -0.015 -0.0092 0.024 9e+03 2.5 0.0006 -1.9 -
35 -0.44 0.052 -0.19 -0.006 -0.55 0.22 -0.0013 -0.46 0.18 0.049 -0.086 -0.015 -0.0092 0.024 9e+03 2.5 0.0003 -1.3 -
36 -0.44 0.052 -0.19 -0.006 -0.55 0.22 -0.0013 -0.46 0.18 0.049 -0.086 -0.015 -0.0092 0.024 9e+03 2.5 0.00015 -0.18 -
37 -0.44 0.052 -0.19 -0.0059 -0.55 0.22 -0.0012 -0.46 0.18 0.049 -0.086 -0.015 -0.0094 0.024 9e+03 0.59 0.00015 0.86 +
38 -0.44 0.052 -0.19 -0.0059 -0.55 0.22 -0.0012 -0.46 0.18 0.05 -0.086 -0.015 -0.0094 0.024 9e+03 0.1 0.0015 0.99 ++
39 -0.44 0.053 -0.19 -0.0059 -0.55 0.22 -0.0012 -0.46 0.18 0.05 -0.087 -0.015 -0.0094 0.025 9e+03 0.14 0.015 1 ++
40 -0.43 0.057 -0.19 -0.0057 -0.55 0.21 -0.0011 -0.46 0.17 0.052 -0.089 -0.016 -0.0096 0.028 9e+03 0.094 0.15 1 ++
41 -0.41 0.099 -0.14 -0.0044 -0.53 0.17 -0.00097 -0.47 0.019 0.069 -0.12 -0.023 -0.012 0.052 8.9e+03 0.064 1.5 0.97 ++
42 -1.2 1.3 0.36 0.35 -0.77 0.11 -0.00073 -0.92 -0.66 -0.42 -0.35 -0.021 -0.26 -0.25 8.3e+03 0.96 15 1.1 ++
43 -1.2 1.3 0.36 0.35 -0.77 0.11 -0.00073 -0.92 -0.66 -0.42 -0.35 -0.021 -0.26 -0.25 8.3e+03 0.96 0.34 -3.7 -
44 -1.3 1.3 0.34 0.36 -1.1 -0.047 -9.2e-05 -0.97 -0.78 -0.44 -0.46 -0.097 -0.27 -0.31 8.3e+03 5.1 3.4 0.93 ++
45 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 34 1.1 ++
46 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.56 -5.2 -
47 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.28 -3.6 -
48 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.14 -2.6 -
49 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.07 -2.4 -
50 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.035 -2.3 -
51 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.017 -2.4 -
52 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.0087 -2.4 -
53 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.0044 -2.4 -
54 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.0022 -2.5 -
55 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.0011 -2.6 -
56 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.00054 -2.7 -
57 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.00027 -2.7 -
58 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 0.00014 -1.3 -
59 -1.1 1.1 0.54 0.56 -1.7 -0.083 0.00014 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 17 6.8e-05 -0.29 -
60 -1.1 1.1 0.54 0.56 -1.7 -0.083 7.2e-05 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 9.7 6.8e-05 0.51 +
61 -1.1 1.1 0.54 0.56 -1.7 -0.083 9.6e-05 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 5.7 6.8e-05 0.57 +
62 -1.1 1.1 0.54 0.56 -1.7 -0.083 8.7e-05 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 0.31 0.00068 0.96 ++
63 -1.1 1.1 0.54 0.56 -1.7 -0.082 8.5e-05 -1.1 -0.75 -0.24 -0.96 -0.056 -0.4 -0.34 8.2e+03 0.016 0.0068 1 ++
64 -1.1 1.1 0.54 0.56 -1.7 -0.079 7.2e-05 -1.1 -0.74 -0.25 -0.96 -0.058 -0.4 -0.35 8.2e+03 0.045 0.068 1 ++
65 -1.1 1.1 0.53 0.56 -1.8 -0.097 0.00015 -1.1 -0.72 -0.25 -0.96 -0.062 -0.4 -0.36 8.2e+03 0.47 0.068 0.87 +
66 -1.1 1.2 0.55 0.56 -1.8 -0.093 0.00012 -1.1 -0.75 -0.24 -0.97 -0.057 -0.4 -0.36 8.1e+03 7.3 0.68 1 ++
67 -0.96 1.1 0.55 0.57 -2.2 -0.11 0.00023 -1.1 -0.77 -0.16 -1 -0.079 -0.44 -0.34 8.1e+03 0.17 0.68 0.82 +
68 -0.96 1.2 0.55 0.55 -2.2 -0.11 0.0002 -1.1 -0.77 -0.16 -1 -0.08 -0.47 -0.34 8.1e+03 2.2 6.8 0.98 ++
69 -0.97 1.1 0.55 0.55 -2.2 -0.11 0.0002 -1.1 -0.77 -0.17 -1 -0.08 -0.47 -0.34 8.1e+03 0.074 68 1 ++
70 -0.97 1.1 0.55 0.55 -2.2 -0.11 0.0002 -1.1 -0.77 -0.17 -1 -0.08 -0.47 -0.34 8.1e+03 0.00019 6.8e+02 1 ++
71 -0.97 1.1 0.55 0.55 -2.2 -0.11 0.0002 -1.1 -0.77 -0.17 -1 -0.08 -0.47 -0.34 8.1e+03 6e-08 6.8e+02 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:altspec;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:power [8138.104376796453, 14]
Attempt 38/100
Considering neighbor 0/20 for current solution
Attempt 39/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000076
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.74 -
1 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.3 -
2 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0.25 -0.25 2 9.9e+03 0.37 0.25 0.17 +
3 -0.15 -0.13 -0.24 -0.28 0.35 0.26 0 0 -0.3 2 9.2e+03 0.2 0.25 0.84 +
4 -0.26 -0.38 -0.25 -0.35 0.34 0.26 0.029 0.012 -0.3 2 9.1e+03 0.1 0.25 0.4 +
5 -0.21 -0.49 -0.25 -0.56 0.12 0.25 -0.095 -0.24 -0.29 2 8.8e+03 0.072 0.25 0.72 +
6 -0.18 -0.54 -0.25 -0.62 -0.13 0.23 -0.041 -0.16 -0.27 2 8.7e+03 0.11 0.25 0.3 +
7 -0.11 -0.62 -0.24 -0.62 -0.38 0.23 -0.17 -0.4 -0.26 2.1 8.6e+03 0.13 0.25 0.49 +
8 -0.22 -0.87 -0.26 -0.58 -0.38 0.24 -0.2 -0.47 -0.25 2.1 8.6e+03 0.065 0.25 0.16 +
9 -0.13 -0.83 -0.24 -0.61 -0.63 0.24 -0.17 -0.4 -0.23 2.1 8.5e+03 0.1 0.25 0.28 +
10 -0.13 -0.83 -0.24 -0.61 -0.63 0.24 -0.17 -0.4 -0.23 2.1 8.5e+03 0.1 0.12 -7.8 -
11 -0.13 -0.83 -0.24 -0.61 -0.63 0.24 -0.17 -0.4 -0.23 2.1 8.5e+03 0.1 0.062 -1.4 -
12 -0.13 -0.83 -0.24 -0.61 -0.63 0.24 -0.17 -0.4 -0.23 2.1 8.5e+03 0.1 0.031 0.092 -
13 -0.098 -0.8 -0.21 -0.58 -0.59 0.27 -0.21 -0.43 -0.27 2.2 8.5e+03 0.03 0.031 0.61 +
14 -0.13 -0.83 -0.24 -0.55 -0.56 0.3 -0.24 -0.46 -0.23 2.2 8.4e+03 0.017 0.031 0.53 +
15 -0.12 -0.86 -0.21 -0.58 -0.59 0.33 -0.27 -0.49 -0.2 2.2 8.4e+03 0.023 0.031 0.84 +
16 -0.11 -0.89 -0.19 -0.6 -0.63 0.34 -0.26 -0.48 -0.19 2.3 8.4e+03 0.023 0.031 0.6 +
17 -0.099 -0.89 -0.19 -0.6 -0.66 0.34 -0.27 -0.51 -0.19 2.3 8.4e+03 0.018 0.031 0.89 +
18 -0.11 -0.92 -0.19 -0.59 -0.69 0.35 -0.27 -0.51 -0.18 2.3 8.4e+03 0.019 0.031 0.89 +
19 -0.099 -0.93 -0.18 -0.59 -0.72 0.36 -0.29 -0.54 -0.17 2.3 8.4e+03 0.016 0.031 0.9 +
20 -0.11 -0.95 -0.18 -0.59 -0.75 0.37 -0.29 -0.54 -0.17 2.3 8.4e+03 0.016 0.031 0.88 +
21 -0.099 -0.96 -0.17 -0.59 -0.78 0.39 -0.3 -0.57 -0.16 2.3 8.4e+03 0.014 0.031 0.9 +
22 -0.11 -0.99 -0.17 -0.59 -0.81 0.4 -0.3 -0.57 -0.15 2.3 8.4e+03 0.014 0.031 0.88 +
23 -0.099 -0.99 -0.16 -0.59 -0.84 0.41 -0.32 -0.6 -0.15 2.3 8.4e+03 0.012 0.031 0.9 +
24 -0.11 -1 -0.15 -0.59 -0.88 0.43 -0.32 -0.6 -0.14 2.3 8.4e+03 0.012 0.031 0.88 +
25 -0.1 -1 -0.14 -0.59 -0.91 0.45 -0.34 -0.62 -0.13 2.3 8.4e+03 0.011 0.031 0.9 +
26 -0.11 -1.1 -0.13 -0.59 -0.94 0.47 -0.34 -0.63 -0.12 2.3 8.4e+03 0.01 0.031 0.9 +
27 -0.1 -1.1 -0.12 -0.59 -0.97 0.5 -0.35 -0.65 -0.1 2.3 8.4e+03 0.0093 0.31 0.91 ++
28 -0.12 -1.2 0.017 -0.61 -1.3 0.78 -0.45 -0.77 0.063 2.4 8.3e+03 0.015 0.31 0.69 +
29 -0.18 -1.2 0.21 -0.62 -1.1 1.1 -0.46 -0.74 0.31 2.3 8.3e+03 0.024 0.31 0.43 +
30 -0.16 -1.3 0.27 -0.56 -1.4 1.2 -0.47 -0.83 0.51 2.3 8.3e+03 0.023 0.31 0.27 +
31 -0.16 -1.3 0.27 -0.56 -1.4 1.2 -0.47 -0.83 0.51 2.3 8.3e+03 0.023 0.16 -2.1 -
32 -0.16 -1.3 0.27 -0.56 -1.4 1.2 -0.47 -0.83 0.51 2.3 8.3e+03 0.023 0.078 0.071 -
33 -0.17 -1.3 0.35 -0.64 -1.4 1.3 -0.49 -0.83 0.45 2.3 8.3e+03 0.0058 0.078 0.75 +
34 -0.17 -1.3 0.35 -0.64 -1.4 1.3 -0.49 -0.83 0.45 2.3 8.3e+03 0.0058 0.039 -0.42 -
35 -0.17 -1.3 0.36 -0.6 -1.4 1.3 -0.5 -0.83 0.47 2.3 8.3e+03 0.0056 0.039 0.33 +
36 -0.17 -1.3 0.38 -0.63 -1.4 1.3 -0.5 -0.82 0.49 2.3 8.3e+03 0.0033 0.039 0.76 +
37 -0.18 -1.3 0.4 -0.61 -1.4 1.4 -0.5 -0.82 0.53 2.3 8.3e+03 0.003 0.039 0.7 +
38 -0.19 -1.3 0.44 -0.64 -1.4 1.4 -0.5 -0.83 0.55 2.3 8.3e+03 0.0028 0.039 0.63 +
39 -0.19 -1.3 0.45 -0.6 -1.4 1.5 -0.51 -0.84 0.59 2.3 8.3e+03 0.0041 0.039 0.57 +
40 -0.19 -1.3 0.48 -0.63 -1.4 1.5 -0.51 -0.83 0.6 2.3 8.3e+03 0.0031 0.039 0.58 +
41 -0.2 -1.3 0.47 -0.62 -1.4 1.5 -0.5 -0.85 0.63 2.3 8.3e+03 0.0016 0.039 0.22 +
42 -0.2 -1.3 0.47 -0.62 -1.4 1.5 -0.5 -0.85 0.63 2.3 8.3e+03 0.0016 0.02 -0.45 -
43 -0.19 -1.3 0.49 -0.62 -1.4 1.5 -0.51 -0.84 0.62 2.3 8.3e+03 0.0014 0.02 0.87 +
44 -0.19 -1.3 0.49 -0.62 -1.4 1.5 -0.51 -0.85 0.64 2.3 8.3e+03 0.00068 0.02 0.8 +
45 -0.19 -1.3 0.51 -0.62 -1.4 1.5 -0.51 -0.85 0.64 2.3 8.3e+03 0.0023 0.02 0.58 +
46 -0.19 -1.3 0.51 -0.62 -1.4 1.5 -0.51 -0.85 0.64 2.3 8.3e+03 0.0023 0.0098 -0.81 -
47 -0.2 -1.3 0.51 -0.61 -1.4 1.6 -0.51 -0.85 0.65 2.3 8.3e+03 0.001 0.0098 0.33 +
48 -0.2 -1.3 0.51 -0.62 -1.5 1.6 -0.51 -0.85 0.65 2.3 8.3e+03 0.00057 0.0098 0.7 +
49 -0.19 -1.3 0.52 -0.62 -1.5 1.6 -0.51 -0.85 0.65 2.3 8.3e+03 0.0016 0.0098 0.11 +
50 -0.2 -1.3 0.52 -0.62 -1.5 1.6 -0.51 -0.86 0.66 2.3 8.3e+03 0.00042 0.0098 0.65 +
51 -0.2 -1.3 0.52 -0.62 -1.5 1.6 -0.51 -0.86 0.66 2.3 8.3e+03 0.00042 0.0049 -0.44 -
52 -0.2 -1.3 0.52 -0.62 -1.5 1.6 -0.51 -0.86 0.66 2.3 8.3e+03 0.00082 0.0049 0.49 +
53 -0.2 -1.3 0.52 -0.63 -1.5 1.6 -0.51 -0.86 0.66 2.3 8.3e+03 0.00046 0.0049 0.25 +
54 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.66 2.3 8.3e+03 0.00016 0.0049 0.7 +
55 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.66 2.3 8.3e+03 0.00061 0.0049 0.21 +
56 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 0.00022 0.0049 0.28 +
57 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 0.00027 0.0049 0.4 +
58 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 0.00027 0.0024 0.021 -
59 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 0.00011 0.0024 0.73 +
60 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 0.00011 0.0012 -1.2 -
61 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 0.0001 0.0012 0.43 +
62 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 0.0001 0.00061 0.035 -
63 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 2.4e-05 0.00061 0.73 +
64 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 5.1e-05 0.00061 0.47 +
65 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 6.1e-05 0.00061 0.57 +
66 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 2.6e-05 0.00061 0.26 +
67 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 2.6e-05 0.00031 -0.0021 -
68 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 2.6e-05 0.00031 0.78 +
69 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 2.1e-05 0.00031 0.32 +
70 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 1.2e-05 0.00031 0.7 +
71 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 1.2e-05 0.00015 -0.32 -
72 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 8.1e-06 0.00015 0.6 +
73 -0.2 -1.3 0.53 -0.62 -1.5 1.6 -0.51 -0.86 0.67 2.3 8.3e+03 4.6e-06 0.00015 0.83 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000077
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com lambda_travel_t b_cost asc_car mu_public Function Relgrad Radius Rho
0 0 0 0 1 0 0 1 1.1e+04 0.26 0.5 -0.071 -
1 -0.5 -0.5 -0.5 1 -0.5 0.5 1.5 9.5e+03 0.15 0.5 0.51 +
2 -0.52 -1 -1 1.5 0 0 1 9.3e+03 0.07 0.5 0.15 +
3 -0.59 -0.81 -0.86 1 -0.5 0.18 1.1 8.9e+03 0.048 0.5 0.79 +
4 -0.59 -0.81 -0.86 1 -0.5 0.18 1.1 8.9e+03 0.048 0.25 -1.1 -
5 -0.59 -0.81 -0.86 1 -0.5 0.18 1.1 8.9e+03 0.048 0.12 -0.013 -
6 -0.72 -0.93 -0.73 0.88 -0.62 0.051 1.2 8.8e+03 0.034 0.12 0.52 +
7 -0.59 -1.1 -0.61 0.75 -0.75 -0.074 1.1 8.7e+03 0.019 0.12 0.55 +
8 -0.59 -1.1 -0.61 0.75 -0.75 -0.074 1.1 8.7e+03 0.019 0.062 -0.75 -
9 -0.62 -1.1 -0.58 0.73 -0.73 -0.094 1.2 8.7e+03 0.014 0.062 0.32 +
10 -0.56 -1.1 -0.56 0.7 -0.74 -0.083 1.1 8.7e+03 0.013 0.062 0.9 +
11 -0.53 -1.2 -0.5 0.68 -0.73 -0.033 1.2 8.6e+03 0.0079 0.062 0.82 +
12 -0.47 -1.3 -0.44 0.65 -0.73 -0.024 1.2 8.6e+03 0.0081 0.062 0.83 +
13 -0.44 -1.3 -0.38 0.61 -0.8 0.039 1.2 8.6e+03 0.0083 0.062 0.14 +
14 -0.41 -1.4 -0.38 0.61 -0.77 0.0053 1.2 8.6e+03 0.0041 0.62 0.98 ++
15 -0.41 -1.4 -0.38 0.61 -0.77 0.0053 1.2 8.6e+03 0.0041 0.13 -1.8 -
16 -0.37 -1.5 -0.36 0.57 -0.75 0.13 1.1 8.6e+03 0.012 0.13 0.13 +
17 -0.42 -1.6 -0.37 0.44 -0.76 0.11 1 8.6e+03 0.002 0.13 0.39 +
18 -0.42 -1.6 -0.37 0.57 -0.79 0.14 1 8.6e+03 0.0016 0.13 0.42 +
19 -0.42 -1.6 -0.37 0.57 -0.79 0.14 1 8.6e+03 0.0016 0.033 -3.1 -
20 -0.43 -1.6 -0.37 0.54 -0.78 0.15 1 8.6e+03 0.0024 0.033 0.54 +
21 -0.43 -1.6 -0.37 0.54 -0.78 0.15 1 8.6e+03 0.0024 0.017 -0.87 -
22 -0.43 -1.6 -0.37 0.53 -0.78 0.13 1 8.6e+03 0.0016 0.017 0.44 +
23 -0.45 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 0.002 0.017 0.38 +
24 -0.45 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 0.002 0.0083 -0.66 -
25 -0.45 -1.6 -0.36 0.51 -0.78 0.14 1 8.6e+03 0.00067 0.0083 0.17 +
26 -0.45 -1.6 -0.36 0.52 -0.78 0.14 1 8.6e+03 0.00047 0.0083 0.82 +
27 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 0.00014 0.0083 0.86 +
28 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 0.00014 0.0041 -1.2 -
29 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 0.00013 0.0041 0.27 +
30 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 0.00013 0.0021 -1 -
31 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.021 0.94 ++
32 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.01 -82 -
33 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.0052 -52 -
34 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.0026 -25 -
35 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.0013 -16 -
36 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.00065 -5.7 -
37 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.00032 -1.5 -
38 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2.9e-05 0.00016 -0.58 -
39 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 2e-05 0.00016 0.23 +
40 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 6.9e-06 0.0016 0.98 ++
41 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 6.9e-06 0.00081 -10 -
42 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 6.9e-06 0.0004 -3 -
43 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 6.9e-06 0.0002 -0.72 -
44 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 9.4e-06 0.0002 0.17 +
45 -0.46 -1.6 -0.36 0.52 -0.78 0.15 1 8.6e+03 5.7e-06 0.0002 0.23 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000078
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di lambda_travel_t b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -1 -0.69 -0.072 1.3 -0.47 -0.52 -0.11 -0.56 -0.65 -0.088 9e+03 0.06 10 0.95 ++
1 -1 -0.69 -0.072 1.3 -0.47 -0.52 -0.11 -0.56 -0.65 -0.088 9e+03 0.06 5 -2.8e+05 -
2 -1 -0.69 -0.072 1.3 -0.47 -0.52 -0.11 -0.56 -0.65 -0.088 9e+03 0.06 2.5 -27 -
3 -1 -0.69 -0.072 1.3 -0.47 -0.52 -0.11 -0.56 -0.65 -0.088 9e+03 0.06 1.2 -1.5 -
4 -0.55 -1.6 -0.25 0.092 -0.78 -1.5 -0.21 0.02 -1.5 -0.16 8.6e+03 0.039 1.2 0.8 +
5 0.012 -2.7 -0.46 0.55 -0.8 -1.9 -0.47 0.14 -1.4 -0.27 8.5e+03 0.012 1.2 0.68 +
6 -0.098 -2.7 -0.56 0.27 -0.79 -1.7 -0.69 0.12 -1.5 -0.26 8.5e+03 0.0014 12 1.1 ++
7 -0.13 -2.6 -0.56 0.22 -0.79 -1.6 -0.63 0.096 -1.4 -0.23 8.5e+03 0.00018 1.2e+02 1 ++
8 -0.13 -2.6 -0.56 0.22 -0.79 -1.6 -0.63 0.096 -1.4 -0.23 8.5e+03 3.8e-07 1.2e+02 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 40/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000079
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.31 0.5 -0.31 -
1 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.31 0.25 0.029 -
2 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.25 0.39 +
3 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.12 0.39 -
4 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.062 0.39 -
5 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.031 0.39 -
6 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.016 0.39 -
7 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.0078 -2.8 -
8 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.0039 -2.3 -
9 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.002 -1.9 -
10 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.00098 -1.4 -
11 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.00049 -0.79 -
12 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 4.1 0.00024 -0.1 -
13 -0.25 0.25 -0.25 0.00024 -0.00024 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 1.7 0.00024 0.67 +
14 -0.25 0.25 -0.25 0.00038 -0.00017 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 2 0.00024 0.54 +
15 -0.25 0.25 -0.25 0.00051 -0.00021 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 0.13 0.0024 1 ++
16 -0.25 0.25 -0.25 0.0019 -0.00017 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 2.3 0.024 0.99 ++
17 -0.24 0.25 -0.27 0.015 -0.00035 -0.25 0.26 0.22 -0.26 0.22 2 9.1e+03 3.2 0.24 0.91 ++
18 -0.24 0.25 -0.27 0.015 -0.00035 -0.25 0.26 0.22 -0.26 0.22 2 9.1e+03 3.2 0.12 -0.073 -
19 -0.21 0.28 -0.38 0.087 0.00068 -0.23 0.27 0.11 -0.29 0.1 2 8.9e+03 7.4 0.12 0.37 +
20 -0.21 0.3 -0.44 0.15 -0.001 -0.26 0.15 0.089 -0.33 0.076 2 8.6e+03 6.1 1.2 1.1 ++
21 -0.21 0.3 -0.44 0.15 -0.001 -0.26 0.15 0.089 -0.33 0.076 2 8.6e+03 6.1 0.61 -0.95 -
22 -0.21 0.3 -0.44 0.15 -0.001 -0.26 0.15 0.089 -0.33 0.076 2 8.6e+03 6.1 0.31 -0.12 -
23 -0.23 0.37 -0.57 0.23 -0.00025 -0.32 -0.16 0.057 -0.41 0.035 2.1 8.6e+03 12 0.31 0.22 +
24 -0.23 0.37 -0.57 0.23 -0.00025 -0.32 -0.16 0.057 -0.41 0.035 2.1 8.6e+03 12 0.15 -0.65 -
25 -0.23 0.37 -0.57 0.23 -0.00025 -0.32 -0.16 0.057 -0.41 0.035 2.1 8.6e+03 12 0.076 -0.059 -
26 -0.21 0.39 -0.6 0.23 -0.0018 -0.32 -0.17 -0.02 -0.44 -0.039 2.1 8.5e+03 8.2 0.076 0.56 +
27 -0.24 0.42 -0.54 0.16 -0.00086 -0.37 -0.24 -0.00093 -0.46 -0.016 2.1 8.4e+03 3.7 0.076 0.74 +
28 -0.29 0.44 -0.62 0.17 -0.0011 -0.44 -0.23 -0.053 -0.49 -0.071 2.1 8.4e+03 8.6 0.076 0.66 +
29 -0.33 0.48 -0.68 0.13 -0.00053 -0.5 -0.3 -0.12 -0.52 -0.13 2.1 8.3e+03 15 0.076 0.34 +
30 -0.32 0.49 -0.65 0.053 -0.00053 -0.5 -0.36 -0.12 -0.53 -0.13 2.1 8.3e+03 9.2 0.076 0.49 +
31 -0.37 0.51 -0.73 0.06 -0.00043 -0.54 -0.37 -0.15 -0.54 -0.16 2.1 8.3e+03 15 0.076 0.89 +
32 -0.37 0.51 -0.73 0.06 -0.00043 -0.54 -0.37 -0.15 -0.54 -0.16 2.1 8.3e+03 15 0.038 -0.14 -
33 -0.37 0.51 -0.73 0.06 -0.00043 -0.54 -0.37 -0.15 -0.54 -0.16 2.1 8.3e+03 15 0.019 0.068 -
34 -0.38 0.51 -0.75 0.066 -0.00058 -0.55 -0.38 -0.16 -0.54 -0.17 2.1 8.3e+03 10 0.019 0.23 +
35 -0.38 0.51 -0.76 0.047 -0.00045 -0.54 -0.39 -0.16 -0.54 -0.17 2.1 8.3e+03 6.7 0.19 1.2 ++
36 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.19 0.67 +
37 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.095 -2.8 -
38 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.048 -0.61 -
39 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.024 -0.039 -
40 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.012 0.086 -
41 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.006 -0.43 -
42 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.003 -0.82 -
43 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.0015 -1.1 -
44 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.00075 -1.2 -
45 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.00037 -1.3 -
46 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 0.00019 -1.3 -
47 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 9.3e-05 -1.4 -
48 -0.41 0.57 -0.95 -0.046 -2.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 17 4.7e-05 -0.45 -
49 -0.41 0.57 -0.95 -0.046 -7.1e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 9.9 4.7e-05 0.19 +
50 -0.41 0.57 -0.95 -0.046 -5.4e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 2.4 0.00047 1.3 ++
51 -0.41 0.57 -0.95 -0.046 -5e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 1.5 0.0047 0.91 ++
52 -0.41 0.57 -0.95 -0.041 -7.2e-05 -0.58 -0.49 -0.2 -0.55 -0.22 2.2 8.2e+03 0.43 0.047 0.97 ++
53 -0.42 0.58 -1 -0.032 -0.00011 -0.59 -0.48 -0.21 -0.55 -0.23 2.2 8.2e+03 0.56 0.47 0.95 ++
54 -0.42 0.58 -1 -0.032 -0.00011 -0.59 -0.48 -0.21 -0.55 -0.23 2.2 8.2e+03 0.56 0.23 -3.9 -
55 -0.42 0.58 -1 -0.032 -0.00011 -0.59 -0.48 -0.21 -0.55 -0.23 2.2 8.2e+03 0.56 0.12 -0.75 -
56 -0.44 0.61 -1.1 -0.092 0.00013 -0.61 -0.5 -0.21 -0.55 -0.23 2.2 8.2e+03 13 0.12 0.27 +
57 -0.45 0.64 -1.2 -0.057 -1.2e-05 -0.63 -0.51 -0.22 -0.54 -0.24 2.2 8.2e+03 4.7 0.12 0.5 +
58 -0.45 0.64 -1.2 -0.057 -1.2e-05 -0.63 -0.51 -0.22 -0.54 -0.24 2.2 8.2e+03 4.7 0.058 -1.4 -
59 -0.45 0.64 -1.2 -0.057 -1.2e-05 -0.63 -0.51 -0.22 -0.54 -0.24 2.2 8.2e+03 4.7 0.029 0.059 -
60 -0.42 0.65 -1.3 -0.079 8.6e-05 -0.61 -0.52 -0.24 -0.54 -0.25 2.1 8.2e+03 6.2 0.029 0.7 +
61 -0.43 0.66 -1.3 -0.08 9.1e-05 -0.62 -0.54 -0.22 -0.53 -0.23 2.1 8.2e+03 1.2 0.029 0.42 +
62 -0.42 0.67 -1.3 -0.073 4.7e-05 -0.61 -0.53 -0.23 -0.53 -0.25 2.1 8.2e+03 12 0.029 0.29 +
63 -0.42 0.67 -1.3 -0.073 4.7e-05 -0.61 -0.53 -0.23 -0.53 -0.25 2.1 8.2e+03 12 0.015 -0.54 -
64 -0.42 0.67 -1.3 -0.088 0.00012 -0.61 -0.53 -0.23 -0.53 -0.25 2.1 8.2e+03 1.9 0.015 0.6 +
65 -0.42 0.67 -1.3 -0.08 9.1e-05 -0.62 -0.54 -0.22 -0.53 -0.24 2.1 8.2e+03 8.1 0.015 0.58 +
66 -0.42 0.68 -1.3 -0.088 0.00012 -0.62 -0.54 -0.22 -0.52 -0.24 2.1 8.2e+03 4.1 0.015 0.87 +
67 -0.41 0.68 -1.4 -0.082 9e-05 -0.62 -0.54 -0.23 -0.52 -0.24 2.1 8.2e+03 6.4 0.015 0.69 +
68 -0.41 0.69 -1.4 -0.088 0.00012 -0.62 -0.54 -0.22 -0.52 -0.24 2.1 8.2e+03 3.6 0.15 0.95 ++
69 -0.38 0.74 -1.5 -0.094 0.00014 -0.62 -0.55 -0.23 -0.5 -0.24 2.1 8.1e+03 11 0.15 0.83 +
70 -0.38 0.74 -1.5 -0.094 0.00014 -0.62 -0.55 -0.23 -0.5 -0.24 2.1 8.1e+03 11 0.073 -0.77 -
71 -0.38 0.74 -1.5 -0.094 0.00014 -0.62 -0.55 -0.23 -0.5 -0.24 2.1 8.1e+03 11 0.036 -0.97 -
72 -0.38 0.74 -1.5 -0.094 0.00014 -0.62 -0.55 -0.23 -0.5 -0.24 2.1 8.1e+03 11 0.018 -0.49 -
73 -0.39 0.74 -1.5 -0.1 0.00018 -0.63 -0.57 -0.21 -0.49 -0.22 2.1 8.1e+03 1.6 0.018 0.11 +
74 -0.39 0.74 -1.5 -0.1 0.00018 -0.63 -0.57 -0.21 -0.49 -0.22 2.1 8.1e+03 1.6 0.0091 0.019 -
75 -0.39 0.74 -1.5 -0.092 0.00014 -0.63 -0.57 -0.21 -0.49 -0.22 2.1 8.1e+03 9.6 0.0091 0.41 +
76 -0.38 0.75 -1.5 -0.096 0.00015 -0.62 -0.56 -0.22 -0.49 -0.23 2.1 8.1e+03 3.2 0.0091 0.81 +
77 -0.38 0.75 -1.5 -0.093 0.00014 -0.63 -0.57 -0.22 -0.49 -0.23 2.1 8.1e+03 1 0.091 0.92 ++
78 -0.36 0.79 -1.6 -0.1 0.00017 -0.64 -0.58 -0.21 -0.47 -0.22 2 8.1e+03 8.1 0.091 0.83 +
79 -0.34 0.83 -1.7 -0.1 0.00018 -0.65 -0.58 -0.22 -0.45 -0.22 2 8.1e+03 3.4 0.091 0.75 +
80 -0.34 0.83 -1.7 -0.1 0.00018 -0.65 -0.58 -0.22 -0.45 -0.22 2 8.1e+03 3.4 0.045 0.019 -
81 -0.34 0.85 -1.8 -0.094 0.00014 -0.67 -0.6 -0.2 -0.43 -0.2 2 8.1e+03 17 0.045 0.15 +
82 -0.34 0.85 -1.8 -0.094 0.00014 -0.67 -0.6 -0.2 -0.43 -0.2 2 8.1e+03 17 0.023 -0.38 -
83 -0.34 0.85 -1.8 -0.094 0.00014 -0.67 -0.6 -0.2 -0.43 -0.2 2 8.1e+03 17 0.011 0.089 -
84 -0.34 0.85 -1.8 -0.11 0.0002 -0.67 -0.6 -0.2 -0.43 -0.2 1.9 8.1e+03 6.3 0.011 0.45 +
85 -0.33 0.85 -1.8 -0.1 0.00018 -0.66 -0.6 -0.21 -0.43 -0.21 1.9 8.1e+03 2.2 0.011 0.72 +
86 -0.34 0.86 -1.8 -0.1 0.00018 -0.67 -0.6 -0.2 -0.43 -0.21 1.9 8.1e+03 1.6 0.011 0.86 +
87 -0.33 0.86 -1.8 -0.1 0.00019 -0.67 -0.6 -0.21 -0.43 -0.21 1.9 8.1e+03 0.038 0.11 0.93 ++
88 -0.33 0.91 -1.9 -0.1 0.00018 -0.71 -0.65 -0.2 -0.42 -0.21 1.8 8.1e+03 1.2 0.11 0.42 +
89 -0.33 0.91 -1.9 -0.1 0.00018 -0.71 -0.65 -0.2 -0.42 -0.21 1.8 8.1e+03 1.2 0.057 -0.97 -
90 -0.33 0.91 -1.9 -0.1 0.00018 -0.71 -0.65 -0.2 -0.42 -0.21 1.8 8.1e+03 1.2 0.028 -0.76 -
91 -0.34 0.92 -1.9 -0.11 0.0002 -0.72 -0.62 -0.21 -0.42 -0.22 1.8 8.1e+03 4.6 0.028 0.58 +
92 -0.34 0.93 -1.9 -0.1 0.00019 -0.73 -0.64 -0.21 -0.42 -0.23 1.8 8.1e+03 2.4 0.028 0.6 +
93 -0.35 0.95 -1.9 -0.11 0.0002 -0.75 -0.64 -0.2 -0.42 -0.23 1.8 8.1e+03 0.037 0.028 0.69 +
94 -0.35 0.96 -1.9 -0.1 0.00019 -0.75 -0.66 -0.2 -0.43 -0.23 1.7 8.1e+03 0.23 0.028 0.53 +
95 -0.36 0.97 -1.9 -0.11 0.0002 -0.77 -0.65 -0.2 -0.44 -0.24 1.7 8.1e+03 0.24 0.028 0.76 +
96 -0.37 0.99 -2 -0.1 0.00019 -0.77 -0.67 -0.2 -0.46 -0.24 1.7 8.1e+03 0.17 0.028 0.37 +
97 -0.38 1 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.75 0.028 0.15 +
98 -0.38 1 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.75 0.014 -1.6 -
99 -0.36 1 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0029 0.014 0.35 +
100 -0.36 1 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0029 0.0071 -1.2 -
101 -0.36 1 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0029 0.0036 -0.026 -
102 -0.37 1 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.04 0.0036 0.35 +
103 -0.37 1 -2 -0.1 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.31 0.0036 0.51 +
104 -0.37 1 -2 -0.1 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.31 0.0018 -0.57 -
105 -0.37 1 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.067 0.0018 0.55 +
106 -0.37 1 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.048 0.0018 0.27 +
107 -0.37 1 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.048 0.00089 -0.79 -
108 -0.37 1 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.11 0.00089 0.29 +
109 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00024 0.00089 0.15 +
110 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.26 0.00089 0.28 +
111 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.49 -0.25 1.6 8.1e+03 0.01 0.00089 0.77 +
112 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.013 0.00089 0.78 +
113 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0032 0.00089 0.82 +
114 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.056 0.00089 0.27 +
115 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0084 0.00089 0.5 +
116 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0084 0.00044 -1.5 -
117 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.026 0.00044 0.15 +
118 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.026 0.00022 -1.1 -
119 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0088 0.00022 0.79 +
120 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0088 0.00011 -1.3 -
121 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0056 0.00011 0.19 +
122 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0041 0.00011 0.36 +
123 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0041 5.6e-05 -2.7 -
124 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0041 2.8e-05 -0.38 -
125 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0049 2.8e-05 0.35 +
126 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0014 2.8e-05 0.87 +
127 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0009 2.8e-05 0.72 +
128 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0009 1.4e-05 -1.6 -
129 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0009 6.9e-06 -0.29 -
130 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0009 3.5e-06 0.064 -
131 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00048 3.5e-06 0.5 +
132 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 2e-05 3.5e-05 0.93 ++
133 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 2e-05 1.7e-05 -0.95 -
134 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00055 1.7e-05 0.33 +
135 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00055 8.7e-06 -0.45 -
136 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00025 8.7e-06 0.37 +
137 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 5.6e-05 8.7e-06 0.12 +
138 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00018 8.7e-06 0.28 +
139 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00018 4.3e-06 -2.5 -
140 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00018 2.2e-06 -0.4 -
141 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 5.7e-05 2.2e-06 0.88 +
142 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 4.2e-05 2.2e-06 0.62 +
143 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 4.2e-05 1.1e-06 -0.53 -
144 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 3.8e-05 1.1e-06 0.33 +
145 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 3.8e-05 5.4e-07 -0.26 -
146 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 7.2e-06 5.4e-07 0.31 +
147 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 1.8e-05 5.4e-07 0.27 +
148 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 4.5e-06 5.4e-07 0.84 +
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:altspec;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:power [8117.437553067906, 11]
Attempt 41/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000080
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_1st b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car Function Relgrad Radius Rho
0 -1 0.86 -0.56 -0.42 -0.63 -0.73 -0.4 -0.56 -0.6 8.5e+03 0.05 10 1.1 ++
1 -1 1.4 -0.9 -0.62 -0.82 -0.83 -0.41 -0.94 -0.36 8.2e+03 0.011 1e+02 1.1 ++
2 -1 1.4 -0.96 -0.69 -0.99 -0.87 -0.45 -1 -0.33 8.2e+03 0.001 1e+03 1.1 ++
3 -1 1.4 -0.96 -0.69 -1 -0.87 -0.45 -1 -0.33 8.2e+03 1.5e-05 1e+04 1 ++
4 -1 1.4 -0.96 -0.69 -1 -0.87 -0.45 -1 -0.33 8.2e+03 3.7e-09 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:altspec;b_time:FIRST;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8213.705564370224, 9]
Attempt 42/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000081
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.61 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.25 0.094 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.25 0.59 +
3 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.12 0.59 -
4 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.062 0.59 -
5 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.031 0.59 -
6 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.016 0.59 -
7 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.0078 -2.6 -
8 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.0039 -2.2 -
9 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.002 -1.8 -
10 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.00098 -1.3 -
11 -0.25 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 4.6 0.00049 -0.67 -
12 -0.25 -0.25 -0.25 -0.25 -0.25 0.00049 -0.00049 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.3 9.3e+03 5.1 0.00049 0.12 +
13 -0.25 -0.25 -0.25 -0.25 -0.25 0.00085 -0.00023 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.3 9.3e+03 1.7 0.0049 1.2 ++
14 -0.25 -0.25 -0.25 -0.26 -0.25 0.0043 -0.00031 -0.25 0.24 0.25 -0.25 -0.25 -0.25 1.3 9.3e+03 2.1 0.049 0.93 ++
15 -0.27 -0.24 -0.25 -0.3 -0.26 0.038 -0.00038 -0.28 0.2 0.26 -0.25 -0.25 -0.24 1.3 9.2e+03 2.6 0.49 0.92 ++
16 -0.27 -0.24 -0.25 -0.3 -0.26 0.038 -0.00038 -0.28 0.2 0.26 -0.25 -0.25 -0.24 1.3 9.2e+03 2.6 0.24 -0.59 -
17 -0.35 -0.18 -0.25 -0.55 -0.29 0.2 -0.0027 -0.42 -0.019 0.29 -0.23 -0.26 -0.18 1.3 9.1e+03 12 0.24 0.19 +
18 -0.2 0.015 -0.24 -0.51 -0.23 0.16 -0.00076 -0.4 -0.26 0.2 -0.29 -0.26 -0.22 1.2 9e+03 7.5 0.24 0.33 +
19 -0.2 0.015 -0.24 -0.51 -0.23 0.16 -0.00076 -0.4 -0.26 0.2 -0.29 -0.26 -0.22 1.2 9e+03 7.5 0.12 -0.26 -
20 -0.28 -0.016 -0.24 -0.63 -0.24 0.26 -0.0018 -0.5 -0.19 0.19 -0.29 -0.27 -0.23 1.3 8.8e+03 3.9 0.12 0.57 +
21 -0.29 0.052 -0.23 -0.61 -0.2 0.14 -0.0013 -0.62 -0.27 0.16 -0.3 -0.27 -0.22 1.3 8.7e+03 4.5 0.12 0.75 +
22 -0.27 0.14 -0.22 -0.69 -0.18 0.13 -0.00058 -0.71 -0.28 0.034 -0.35 -0.28 -0.3 1.3 8.7e+03 9.9 0.12 0.42 +
23 -0.34 0.16 -0.21 -0.74 -0.17 0.094 -0.001 -0.83 -0.39 0.06 -0.32 -0.29 -0.25 1.3 8.6e+03 4.9 0.12 0.64 +
24 -0.29 0.25 -0.19 -0.83 -0.17 0.065 -0.00074 -0.89 -0.41 -0.062 -0.35 -0.29 -0.34 1.3 8.5e+03 5 0.12 0.84 +
25 -0.3 0.3 -0.17 -0.9 -0.18 -0.043 -0.00021 -0.99 -0.53 -0.067 -0.31 -0.3 -0.31 1.4 8.5e+03 9.8 0.12 0.12 +
26 -0.3 0.3 -0.17 -0.9 -0.18 -0.043 -0.00021 -0.99 -0.53 -0.067 -0.31 -0.3 -0.31 1.4 8.5e+03 9.8 0.061 -0.55 -
27 -0.32 0.29 -0.17 -0.93 -0.18 0.018 -3.1e-05 -1 -0.51 -0.075 -0.31 -0.3 -0.32 1.4 8.5e+03 12 0.061 0.34 +
28 -0.33 0.31 -0.16 -0.97 -0.19 0.035 -0.00064 -1.1 -0.51 -0.12 -0.31 -0.31 -0.35 1.4 8.5e+03 5.9 0.061 0.39 +
29 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.61 1.2 ++
30 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.31 -2.6 -
31 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.15 -0.48 -
32 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.076 -0.3 -
33 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.038 -0.74 -
34 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.019 -1.8 -
35 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.0095 -1.9 -
36 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.0048 -2.2 -
37 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.0024 -2.8 -
38 -0.33 0.35 -0.15 -1 -0.2 -0.026 -0.00017 -1.1 -0.56 -0.15 -0.29 -0.31 -0.35 1.4 8.4e+03 4 0.0012 -3.4 -
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149 -0.38 0.76 0.59 -2.1 -1.1 -0.11 0.00021 -1.9 -0.82 -0.19 -0.14 -0.65 -0.37 1 8.2e+03 1.3e-05 4.3e-06 0.85 +
150 -0.38 0.76 0.59 -2.1 -1.1 -0.11 0.00021 -1.9 -0.82 -0.19 -0.14 -0.65 -0.37 1 8.2e+03 2.1e-05 4.3e-06 0.45 +
151 -0.38 0.76 0.59 -2.1 -1.1 -0.11 0.00021 -1.9 -0.82 -0.19 -0.14 -0.65 -0.37 1 8.2e+03 2.8e-07 4.3e-06 0.52 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000082
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train square_tt_coef cube_tt_coef b_cost b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.4 0.5 -0.23 -
1 -0.27 -0.14 -0.0056 -0.5 0.002 0.019 -0.039 0.2 0.0072 -0.0063 -0.0018 -0.021 9.6e+03 0.82 0.5 0.67 +
2 -0.27 -0.14 -0.0056 -0.5 0.002 0.019 -0.039 0.2 0.0072 -0.0063 -0.0018 -0.021 9.6e+03 0.82 0.25 -10 -
3 -0.27 -0.14 -0.0056 -0.5 0.002 0.019 -0.039 0.2 0.0072 -0.0063 -0.0018 -0.021 9.6e+03 0.82 0.12 -12 -
4 -0.27 -0.14 -0.0056 -0.5 0.002 0.019 -0.039 0.2 0.0072 -0.0063 -0.0018 -0.021 9.6e+03 0.82 0.062 -14 -
5 -0.27 -0.14 -0.0056 -0.5 0.002 0.019 -0.039 0.2 0.0072 -0.0063 -0.0018 -0.021 9.6e+03 0.82 0.031 -23 -
6 -0.27 -0.14 -0.0056 -0.5 0.002 0.019 -0.039 0.2 0.0072 -0.0063 -0.0018 -0.021 9.6e+03 0.82 0.016 -2.6 -
7 -0.29 -0.13 0.01 -0.52 -0.014 0.0036 -0.054 0.19 -0.0084 -0.022 -0.017 -0.0054 9.4e+03 0.41 0.16 0.96 ++
8 -0.29 -0.13 0.01 -0.52 -0.014 0.0036 -0.054 0.19 -0.0084 -0.022 -0.017 -0.0054 9.4e+03 0.41 0.078 -13 -
9 -0.29 -0.13 0.01 -0.52 -0.014 0.0036 -0.054 0.19 -0.0084 -0.022 -0.017 -0.0054 9.4e+03 0.41 0.039 -12 -
10 -0.29 -0.13 0.01 -0.52 -0.014 0.0036 -0.054 0.19 -0.0084 -0.022 -0.017 -0.0054 9.4e+03 0.41 0.02 -9.4 -
11 -0.29 -0.13 0.01 -0.52 -0.014 0.0036 -0.054 0.19 -0.0084 -0.022 -0.017 -0.0054 9.4e+03 0.41 0.0098 -9.8 -
12 -0.29 -0.13 0.01 -0.52 -0.014 0.0036 -0.054 0.19 -0.0084 -0.022 -0.017 -0.0054 9.4e+03 0.41 0.0049 -4.7 -
13 -0.29 -0.12 0.011 -0.52 -0.0088 -0.0013 -0.059 0.18 -0.013 -0.027 -0.02 -0.01 9.4e+03 2.4 0.0049 0.59 +
14 -0.29 -0.12 0.011 -0.52 -0.007 -0.00063 -0.062 0.18 -0.016 -0.029 -0.02 -0.015 9.4e+03 0.22 0.049 0.97 ++
15 -0.3 -0.11 0.011 -0.54 0.011 -0.00046 -0.094 0.19 -0.04 -0.047 -0.021 -0.064 9.3e+03 0.085 0.49 1 ++
16 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.49 0.63 +
17 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.24 -6.9 -
18 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.12 -7.3 -
19 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.061 -7.6 -
20 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.031 -8.1 -
21 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.015 -4.6 -
22 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.0076 -3.1 -
23 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.0038 -1.9 -
24 -0.36 0.044 0.018 -0.76 0.21 0.00012 -0.58 -0.11 -0.14 -0.16 -0.036 -0.41 9e+03 3.8 0.0019 -0.59 -
25 -0.36 0.046 0.02 -0.76 0.21 -0.0018 -0.58 -0.11 -0.14 -0.16 -0.038 -0.41 8.9e+03 3.2 0.0019 0.45 +
26 -0.36 0.046 0.02 -0.76 0.2 -0.00066 -0.58 -0.11 -0.14 -0.16 -0.038 -0.41 8.9e+03 3.8 0.0019 0.33 +
27 -0.36 0.046 0.02 -0.76 0.2 -0.00066 -0.58 -0.11 -0.14 -0.16 -0.038 -0.41 8.9e+03 3.8 0.00095 -0.44 -
28 -0.36 0.047 0.021 -0.76 0.2 -0.0016 -0.59 -0.11 -0.14 -0.16 -0.039 -0.4 8.9e+03 2.9 0.00095 0.17 +
29 -0.36 0.047 0.021 -0.76 0.2 -0.0016 -0.59 -0.11 -0.14 -0.16 -0.039 -0.4 8.9e+03 2.9 0.00048 0.06 -
30 -0.36 0.048 0.021 -0.76 0.2 -0.0011 -0.59 -0.11 -0.14 -0.16 -0.04 -0.4 8.9e+03 0.6 0.0048 0.96 ++
31 -0.36 0.048 0.021 -0.76 0.2 -0.0011 -0.59 -0.12 -0.13 -0.16 -0.04 -0.4 8.9e+03 0.12 0.048 1 ++
32 -0.35 0.057 0.022 -0.75 0.18 -0.001 -0.6 -0.16 -0.12 -0.15 -0.04 -0.36 8.8e+03 0.11 0.48 1 ++
33 -0.37 0.24 0.036 -0.81 0.45 -0.0022 -0.72 -0.64 -0.13 -0.16 -0.057 -0.44 8.7e+03 0.45 0.48 0.63 +
34 -0.72 0.51 0.095 -1.1 -0.029 -0.00015 -0.75 -0.8 -0.47 -0.24 -0.12 -0.52 8.7e+03 0.13 0.48 0.17 +
35 -0.68 0.76 0.17 -1.5 0.087 -0.00066 -0.75 -1.3 -0.37 0.042 -0.17 -0.99 8.5e+03 2.9 0.48 0.65 +
36 -0.68 0.76 0.17 -1.5 0.087 -0.00066 -0.75 -1.3 -0.37 0.042 -0.17 -0.99 8.5e+03 2.9 0.24 -0.91 -
37 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.24 0.43 +
38 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.12 -1.1 -
39 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.06 -1 -
40 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.03 -1.1 -
41 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.015 -1.2 -
42 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.0075 -1.7 -
43 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.0037 -2.2 -
44 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.0019 -2.6 -
45 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.00093 -2.9 -
46 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.00047 -3.1 -
47 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.00023 -2.4 -
48 -0.79 0.73 0.21 -1.7 -0.085 0.00019 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 10 0.00012 -0.62 -
49 -0.79 0.73 0.21 -1.7 -0.085 7.3e-05 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 8.4 0.00012 0.49 +
50 -0.79 0.73 0.21 -1.7 -0.085 0.00011 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 3.1 0.00012 0.72 +
51 -0.79 0.73 0.21 -1.7 -0.085 0.0001 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 0.34 0.0012 0.96 ++
52 -0.79 0.73 0.21 -1.7 -0.084 9.6e-05 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 0.11 0.012 1 ++
53 -0.79 0.73 0.21 -1.7 -0.072 4e-05 -0.76 -1.3 -0.39 -0.054 -0.19 -1.1 8.5e+03 0.62 0.12 1 ++
54 -0.76 0.78 0.24 -1.7 -0.04 -0.00014 -0.76 -1.5 -0.39 -0.075 -0.2 -1.1 8.4e+03 4.6 1.2 1.1 ++
55 -0.76 0.78 0.24 -1.7 -0.04 -0.00014 -0.76 -1.5 -0.39 -0.075 -0.2 -1.1 8.4e+03 4.6 0.58 -2.9 -
56 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.58 0.29 +
57 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.26 -1.9 -
58 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.13 -1.5 -
59 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.065 -1.3 -
60 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.032 -1.1 -
61 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.016 -0.81 -
62 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.0081 -0.6 -
63 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.004 -0.67 -
64 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.002 -0.83 -
65 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.001 -0.99 -
66 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.00051 -1.1 -
67 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.00025 -1.2 -
68 -0.8 0.9 0.48 -2.3 -0.12 0.00039 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 11 0.00013 -1.3 -
69 -0.8 0.9 0.48 -2.3 -0.12 0.00027 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 6.3 0.00013 0.61 +
70 -0.8 0.9 0.48 -2.3 -0.12 0.00029 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 1.4 0.0013 1.1 ++
71 -0.8 0.9 0.48 -2.3 -0.12 0.00028 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 0.17 0.013 1 ++
72 -0.8 0.9 0.48 -2.3 -0.11 0.00017 -0.79 -2 -0.5 -0.12 -0.31 -1.4 8.4e+03 14 0.013 0.86 +
73 -0.79 0.91 0.48 -2.3 -0.094 0.00014 -0.79 -2 -0.5 -0.12 -0.32 -1.4 8.4e+03 0.96 0.13 1.1 ++
74 -0.69 0.91 0.58 -2.4 -0.094 0.00014 -0.77 -2.1 -0.49 -0.026 -0.35 -1.5 8.4e+03 0.24 1.3 1 ++
75 -0.45 0.91 0.84 -2.9 -0.11 0.00022 -0.8 -2.4 -0.44 -0.1 -0.5 -1.8 8.4e+03 4.9 1.3 0.89 +
76 -0.44 0.91 0.83 -2.9 -0.11 0.0002 -0.8 -2.4 -0.46 -0.1 -0.5 -1.7 8.4e+03 0.19 13 1 ++
77 -0.44 0.91 0.82 -2.9 -0.11 0.0002 -0.8 -2.4 -0.45 -0.1 -0.51 -1.7 8.4e+03 0.0044 1.3e+02 1 ++
78 -0.44 0.91 0.82 -2.9 -0.11 0.0002 -0.8 -2.4 -0.45 -0.1 -0.51 -1.7 8.4e+03 0.00011 1.3e+03 1 ++
79 -0.44 0.91 0.82 -2.9 -0.11 0.0002 -0.8 -2.4 -0.45 -0.1 -0.51 -1.7 8.4e+03 1.4e-06 1.3e+03 1 ++
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000083
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_1st square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -1.5 -
1 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.051 -
2 -0.25 -0.00017 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.4e+03 1.4 2.5 1 ++
3 -0.25 -0.00017 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.4e+03 1.4 1.2 -5.6 -
4 -0.25 -0.00017 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.4e+03 1.4 0.62 -3 -
5 -0.25 -0.00017 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.4e+03 1.4 0.31 -1.4 -
6 -0.25 -0.00017 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.4e+03 1.4 0.16 0.032 -
7 -0.36 0.019 -0.41 -0.26 0.15 -0.0031 -0.36 0.21 0.041 -0.052 0.022 9.2e+03 9.1 0.16 0.54 +
8 -0.36 0.019 -0.41 -0.26 0.15 -0.0031 -0.36 0.21 0.041 -0.052 0.022 9.2e+03 9.1 0.078 0.085 -
9 -0.38 0.037 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.059 -0.07 0.042 9.1e+03 5.4 0.078 0.16 +
10 -0.38 0.037 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.059 -0.07 0.042 9.1e+03 5.4 0.039 -4.2 -
11 -0.38 0.037 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.059 -0.07 0.042 9.1e+03 5.4 0.02 -2.8 -
12 -0.38 0.037 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.059 -0.07 0.042 9.1e+03 5.4 0.0098 -2 -
13 -0.38 0.037 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.059 -0.07 0.042 9.1e+03 5.4 0.0049 -1.1 -
14 -0.39 0.042 -0.48 -0.28 0.11 -0.0026 -0.39 0.13 0.061 -0.075 0.045 9e+03 11 0.0049 0.15 +
15 -0.39 0.043 -0.48 -0.28 0.11 0.0012 -0.39 0.12 0.061 -0.076 0.045 9e+03 5.3 0.0049 0.14 +
16 -0.39 0.043 -0.48 -0.28 0.11 0.0012 -0.39 0.12 0.061 -0.076 0.045 9e+03 5.3 0.0024 -0.6 -
17 -0.39 0.046 -0.49 -0.28 0.11 -0.0013 -0.39 0.12 0.064 -0.078 0.048 8.9e+03 4.2 0.0024 0.65 +
18 -0.39 0.047 -0.49 -0.28 0.11 -0.00081 -0.39 0.12 0.064 -0.079 0.048 8.9e+03 2.4 0.024 1.3 ++
19 -0.4 0.056 -0.5 -0.28 0.12 -0.00053 -0.4 0.093 0.064 -0.088 0.05 8.9e+03 5.5 0.024 0.63 +
20 -0.4 0.056 -0.5 -0.28 0.12 -0.00053 -0.4 0.093 0.064 -0.088 0.05 8.9e+03 5.5 0.012 -3.8 -
21 -0.4 0.056 -0.5 -0.28 0.12 -0.00053 -0.4 0.093 0.064 -0.088 0.05 8.9e+03 5.5 0.0061 -3.9 -
22 -0.4 0.056 -0.5 -0.28 0.12 -0.00053 -0.4 0.093 0.064 -0.088 0.05 8.9e+03 5.5 0.0031 -3.1 -
23 -0.4 0.056 -0.5 -0.28 0.12 -0.00053 -0.4 0.093 0.064 -0.088 0.05 8.9e+03 5.5 0.0015 -1.7 -
24 -0.4 0.056 -0.5 -0.28 0.12 -0.00053 -0.4 0.093 0.064 -0.088 0.05 8.9e+03 5.5 0.00076 -0.72 -
25 -0.4 0.056 -0.5 -0.28 0.12 -0.00053 -0.4 0.093 0.064 -0.088 0.05 8.9e+03 5.5 0.00038 -0.11 -
26 -0.4 0.056 -0.5 -0.29 0.12 -0.00091 -0.4 0.092 0.064 -0.088 0.05 8.9e+03 2.6 0.00038 0.32 +
27 -0.4 0.056 -0.5 -0.29 0.12 -0.00091 -0.4 0.092 0.064 -0.088 0.05 8.9e+03 2.6 0.00019 -0.56 -
28 -0.4 0.056 -0.5 -0.29 0.12 -0.00072 -0.4 0.092 0.063 -0.088 0.05 8.9e+03 1.9 0.00019 0.62 +
29 -0.4 0.056 -0.5 -0.29 0.12 -0.00075 -0.4 0.092 0.063 -0.088 0.05 8.9e+03 0.054 0.0019 1 ++
30 -0.4 0.057 -0.5 -0.29 0.12 -0.00076 -0.4 0.09 0.063 -0.089 0.05 8.9e+03 0.16 0.019 1 ++
31 -0.4 0.064 -0.51 -0.29 0.12 -0.00078 -0.41 0.071 0.063 -0.096 0.051 8.8e+03 0.051 0.19 1 ++
32 -0.44 0.14 -0.61 -0.33 0.18 -0.001 -0.49 -0.12 0.051 -0.17 0.052 8.7e+03 0.12 1.9 0.99 ++
33 -0.44 0.14 -0.61 -0.33 0.18 -0.001 -0.49 -0.12 0.051 -0.17 0.052 8.7e+03 0.12 0.95 -67 -
34 -0.44 0.14 -0.61 -0.33 0.18 -0.001 -0.49 -0.12 0.051 -0.17 0.052 8.7e+03 0.12 0.48 -3.4 -
35 -0.5 0.57 -0.82 -0.41 -0.011 -0.00022 -0.82 -0.6 -0.33 -0.5 -0.22 8.4e+03 0.32 0.48 0.89 +
36 -0.65 1 -1.2 -0.61 -0.022 -0.00017 -1.1 -0.85 -0.41 -0.72 -0.29 8.2e+03 0.18 4.8 1.1 ++
37 -0.65 1 -1.2 -0.61 -0.022 -0.00017 -1.1 -0.85 -0.41 -0.72 -0.29 8.2e+03 0.18 2.4 -3.2e+02 -
38 -0.65 1 -1.2 -0.61 -0.022 -0.00017 -1.1 -0.85 -0.41 -0.72 -0.29 8.2e+03 0.18 1.2 -1e+02 -
39 -0.65 1 -1.2 -0.61 -0.022 -0.00017 -1.1 -0.85 -0.41 -0.72 -0.29 8.2e+03 0.18 0.6 -22 -
40 -0.65 1 -1.2 -0.61 -0.022 -0.00017 -1.1 -0.85 -0.41 -0.72 -0.29 8.2e+03 0.18 0.3 -3.1 -
41 -0.65 1 -1.2 -0.61 -0.022 -0.00017 -1.1 -0.85 -0.41 -0.72 -0.29 8.2e+03 0.18 0.15 0.053 -
42 -0.77 1.1 -1.3 -0.69 -0.096 0.00013 -1.2 -0.78 -0.39 -0.75 -0.3 8.2e+03 7 0.15 0.71 +
43 -0.7 1.2 -1.5 -0.76 -0.085 9.8e-05 -1.1 -0.87 -0.4 -0.79 -0.34 8.1e+03 1.1 1.5 0.98 ++
44 -0.71 1.4 -1.9 -0.77 -0.12 0.00024 -1.1 -0.86 -0.3 -1 -0.33 8.1e+03 10 1.5 0.62 +
45 -0.71 1.4 -1.9 -0.78 -0.11 0.0002 -1.1 -0.86 -0.3 -1 -0.32 8.1e+03 0.16 15 1 ++
46 -0.72 1.4 -1.8 -0.77 -0.1 0.00019 -1.1 -0.86 -0.3 -1 -0.32 8.1e+03 0.079 1.5e+02 1 ++
47 -0.72 1.4 -1.8 -0.77 -0.1 0.00019 -1.1 -0.86 -0.3 -1 -0.32 8.1e+03 0.00018 1.5e+03 1 ++
48 -0.72 1.4 -1.8 -0.77 -0.1 0.00019 -1.1 -0.86 -0.3 -1 -0.32 8.1e+03 4.9e-07 1.5e+03 1 ++
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000084
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -1.9 -
1 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.03 -
2 -0.25 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 1.4 2.5 1 ++
3 -0.25 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 1.4 1.2 -4.1 -
4 -0.25 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 1.4 0.62 -2.6 -
5 -0.25 -0.25 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 1.4 0.31 -1.1 -
6 -0.47 -0.56 0.22 -0.0045 -0.46 0.23 0.048 0.022 9.3e+03 12 0.31 0.27 +
7 -0.47 -0.56 0.22 -0.0045 -0.46 0.23 0.048 0.022 9.3e+03 12 0.16 -0.39 -
8 -0.47 -0.56 0.22 -0.0045 -0.46 0.23 0.048 0.022 9.3e+03 12 0.078 -0.14 -
9 -0.47 -0.56 0.22 -0.0045 -0.46 0.23 0.048 0.022 9.3e+03 12 0.039 -0.057 -
10 -0.47 -0.56 0.22 -0.0045 -0.46 0.23 0.048 0.022 9.3e+03 12 0.02 -0.027 -
11 -0.47 -0.56 0.22 -0.0045 -0.46 0.23 0.048 0.022 9.3e+03 12 0.0098 -0.016 -
12 -0.47 -0.56 0.22 -0.0045 -0.46 0.23 0.048 0.022 9.3e+03 12 0.0049 -0.012 -
13 -0.46 -0.56 0.23 0.00036 -0.46 0.23 0.05 0.024 9.2e+03 6.5 0.0049 0.4 +
14 -0.46 -0.56 0.23 0.00036 -0.46 0.23 0.05 0.024 9.2e+03 6.5 0.0024 -0.44 -
15 -0.46 -0.56 0.22 -0.0021 -0.46 0.22 0.052 0.026 9.1e+03 4.7 0.0024 0.48 +
16 -0.46 -0.56 0.22 -0.0017 -0.46 0.22 0.053 0.027 9e+03 2.6 0.024 1.3 ++
17 -0.46 -0.56 0.22 -0.0017 -0.46 0.22 0.053 0.027 9e+03 2.6 0.012 -2.2 -
18 -0.46 -0.56 0.22 -0.0017 -0.46 0.22 0.053 0.027 9e+03 2.6 0.0061 -2.9 -
19 -0.46 -0.56 0.22 -0.0017 -0.46 0.22 0.053 0.027 9e+03 2.6 0.0031 -3.4 -
20 -0.46 -0.56 0.22 -0.0017 -0.46 0.22 0.053 0.027 9e+03 2.6 0.0015 -2.5 -
21 -0.46 -0.56 0.22 -0.0017 -0.46 0.22 0.053 0.027 9e+03 2.6 0.00076 -1.3 -
22 -0.46 -0.56 0.22 -0.0017 -0.46 0.22 0.053 0.027 9e+03 2.6 0.00038 0.0084 -
23 -0.46 -0.55 0.22 -0.0013 -0.46 0.22 0.053 0.027 9e+03 2.4 0.0038 1 ++
24 -0.46 -0.55 0.22 -0.0013 -0.46 0.22 0.053 0.027 9e+03 2.4 0.0019 -2.8 -
25 -0.46 -0.55 0.22 -0.0013 -0.46 0.22 0.053 0.027 9e+03 2.4 0.00095 -3.4 -
26 -0.46 -0.55 0.22 -0.0013 -0.46 0.22 0.053 0.027 9e+03 2.4 0.00048 -3.1 -
27 -0.46 -0.55 0.22 -0.0013 -0.46 0.22 0.053 0.027 9e+03 2.4 0.00024 -1.6 -
28 -0.46 -0.55 0.22 -0.0013 -0.46 0.22 0.053 0.027 9e+03 2.4 0.00012 -0.29 -
29 -0.46 -0.55 0.22 -0.0012 -0.46 0.22 0.053 0.027 9e+03 0.11 0.00012 0.79 +
30 -0.46 -0.55 0.22 -0.0012 -0.46 0.22 0.053 0.027 9e+03 0.4 0.0012 1 ++
31 -0.46 -0.55 0.22 -0.0012 -0.46 0.22 0.054 0.028 9e+03 0.11 0.012 1 ++
32 -0.46 -0.55 0.22 -0.0012 -0.46 0.21 0.056 0.03 9e+03 0.85 0.12 1 ++
33 -0.45 -0.54 0.18 -0.001 -0.47 0.088 0.073 0.054 8.9e+03 0.045 1.2 0.98 ++
34 -0.26 -0.88 -0.0084 -0.00024 -1.7 -0.72 -0.47 -0.28 8.5e+03 0.59 12 1 ++
35 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 1.2e+02 1.1 ++
36 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 60 -4.7e+02 -
37 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 30 -4.3e+02 -
38 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 15 -3.6e+02 -
39 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 7.5 -2.8e+02 -
40 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 3.7 -1.8e+02 -
41 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 1.9 -96 -
42 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 0.93 -35 -
43 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 0.47 -10 -
44 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 0.23 -3.5 -
45 -0.034 -1.3 -0.013 -0.0002 -1.8 -0.79 -0.41 -0.32 8.4e+03 1.8 0.12 -0.05 -
46 -0.073 -1.5 -0.09 0.00012 -1.9 -0.72 -0.43 -0.36 8.4e+03 2.4 0.12 0.62 +
47 -0.065 -1.6 -0.076 5.4e-05 -1.9 -0.78 -0.4 -0.35 8.4e+03 2.4 1.2 0.99 ++
48 -0.065 -1.6 -0.076 5.4e-05 -1.9 -0.78 -0.4 -0.35 8.4e+03 2.4 0.39 -0.61 -
49 0.053 -2 -0.11 0.00022 -1.9 -0.83 -0.36 -0.41 8.3e+03 5.4 0.39 0.78 +
50 0.21 -2.2 -0.11 0.0002 -2 -0.83 -0.29 -0.37 8.3e+03 1.5 3.9 0.97 ++
51 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 8.3e+03 0.02 39 0.99 ++
52 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 8.3e+03 1e-05 3.9e+02 1 ++
53 0.21 -2.2 -0.11 0.00021 -2 -0.84 -0.29 -0.37 8.3e+03 1.4e-07 3.9e+02 1 ++
Considering neighbor 3/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 17 unknown parameters [max: 50]
*** Estimate b07everything_000085
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.48 -
1 1e+04 1.4 0.5 0.2 +
2 1e+04 1.4 0.25 -5.5 -
3 1e+04 1.4 0.12 -6.3 -
4 1e+04 1.4 0.062 -3.9 -
5 9.6e+03 6.2 0.062 0.87 +
6 9.6e+03 6.2 0.031 -0.071 -
7 9.6e+03 6.2 0.016 -0.071 -
8 9.6e+03 6.2 0.0078 -0.077 -
9 9.5e+03 1.7 0.0078 0.19 +
10 9.5e+03 1.7 0.0039 -0.016 -
11 9.4e+03 1 0.039 0.96 ++
12 9.4e+03 0.063 0.39 1 ++
13 9e+03 2 3.9 0.93 ++
14 9e+03 2 2 -13 -
15 9e+03 2 0.98 -4.4 -
16 9e+03 2 0.49 -0.6 -
17 8.6e+03 2.7 0.49 0.51 +
18 8.4e+03 3 4.9 0.91 ++
19 8.4e+03 3 0.62 -78 -
20 8.3e+03 1.7 0.62 0.63 +
21 8.3e+03 1.7 0.31 -0.59 -
22 8.3e+03 2.6 0.31 0.24 +
23 8.3e+03 2.6 0.15 -0.13 -
24 8.3e+03 1.1 0.15 0.35 +
25 8.3e+03 1.6 0.15 0.63 +
26 8.3e+03 1.8 0.15 0.79 +
27 8.3e+03 0.94 1.5 1 ++
28 8.3e+03 0.94 0.77 -1.9e+02 -
29 8.3e+03 0.94 0.39 -20 -
30 8.3e+03 0.94 0.19 -0.22 -
31 8.3e+03 0.59 1.9 1.1 ++
32 8.3e+03 0.59 0.8 -1.7e+02 -
33 8.3e+03 0.59 0.4 -8.8 -
34 8.2e+03 0.2 0.4 0.43 +
35 8.2e+03 0.71 4 1.1 ++
36 8.2e+03 0.71 2 -3.6e+02 -
37 8.2e+03 0.71 1 -71 -
38 8.2e+03 0.71 0.5 -17 -
39 8.2e+03 0.71 0.25 -1.6 -
40 8.2e+03 1.6 0.25 0.67 +
41 8.2e+03 0.47 2.5 1 ++
42 8.2e+03 4.6 2.5 0.68 +
43 8.2e+03 0.43 25 1.1 ++
44 8.2e+03 0.017 2.5e+02 1 ++
45 8.2e+03 0.01 2.5e+03 1 ++
46 8.2e+03 7.8e-07 2.5e+03 1 ++
Considering neighbor 4/20 for current solution
Considering neighbor 5/20 for current solution
Attempt 43/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000086
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.75 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.44 -
2 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.091 -
3 -0.12 0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 -0.12 0.12 0.12 0.12 1.9 9.7e+03 0.27 0.12 0.28 +
4 -0.054 0.22 -0.074 -0.056 -0.13 0.25 0.25 0.25 0 -0.24 0 0 0 1.9 9.6e+03 0.21 0.12 0.13 +
5 -0.12 0.23 -0.2 -0.11 -0.2 0.21 0.22 0.19 0.061 -0.26 0.065 0.043 0.049 1.9 9.2e+03 0.092 0.12 0.75 +
6 -0.11 0.26 -0.21 -0.1 -0.21 0.15 0.15 0.088 0.023 -0.3 -0.06 -0.0032 -0.0098 1.9 9e+03 0.077 1.2 0.98 ++
7 -0.11 0.26 -0.21 -0.1 -0.21 0.15 0.15 0.088 0.023 -0.3 -0.06 -0.0032 -0.0098 1.9 9e+03 0.077 0.62 -0.23 -
8 -0.27 0.45 -0.64 -0.21 -0.46 -0.29 -0.24 -0.54 0.036 -0.51 -0.41 -0.12 -0.14 2.1 8.8e+03 0.24 0.62 0.2 +
9 -0.27 0.45 -0.64 -0.21 -0.46 -0.29 -0.24 -0.54 0.036 -0.51 -0.41 -0.12 -0.14 2.1 8.8e+03 0.24 0.31 -0.37 -
10 -0.31 0.51 -0.75 -0.24 -0.53 -0.28 -0.25 -0.48 -0.11 -0.57 -0.72 -0.33 -0.33 2.1 8.6e+03 0.16 0.31 0.26 +
11 -0.24 0.61 -0.73 -0.3 -0.57 -0.6 -0.36 -0.57 -0.12 -0.6 -0.64 -0.37 -0.32 2.1 8.3e+03 0.087 0.31 0.71 +
12 -0.24 0.61 -0.73 -0.3 -0.57 -0.6 -0.36 -0.57 -0.12 -0.6 -0.64 -0.37 -0.32 2.1 8.3e+03 0.087 0.16 -3.6 -
13 -0.24 0.61 -0.73 -0.3 -0.57 -0.6 -0.36 -0.57 -0.12 -0.6 -0.64 -0.37 -0.32 2.1 8.3e+03 0.087 0.078 -1.6 -
14 -0.24 0.61 -0.73 -0.3 -0.57 -0.6 -0.36 -0.57 -0.12 -0.6 -0.64 -0.37 -0.32 2.1 8.3e+03 0.087 0.039 -0.55 -
15 -0.28 0.57 -0.77 -0.33 -0.61 -0.56 -0.32 -0.53 -0.084 -0.56 -0.61 -0.33 -0.28 2.1 8.3e+03 0.055 0.039 0.15 +
16 -0.27 0.58 -0.76 -0.33 -0.6 -0.55 -0.32 -0.5 -0.12 -0.56 -0.64 -0.36 -0.31 2.1 8.2e+03 0.024 0.039 0.6 +
17 -0.27 0.58 -0.77 -0.33 -0.6 -0.59 -0.35 -0.52 -0.13 -0.56 -0.63 -0.36 -0.32 2.1 8.2e+03 0.01 0.39 0.91 ++
18 -0.42 0.67 -1.1 -0.47 -0.58 -0.98 -0.6 -0.52 -0.45 -0.54 -0.58 -0.55 -0.52 2.1 8.2e+03 0.066 0.39 0.11 +
19 -0.42 0.67 -1.1 -0.47 -0.58 -0.98 -0.6 -0.52 -0.45 -0.54 -0.58 -0.55 -0.52 2.1 8.2e+03 0.066 0.2 -1.4 -
20 -0.42 0.67 -1.1 -0.47 -0.58 -0.98 -0.6 -0.52 -0.45 -0.54 -0.58 -0.55 -0.52 2.1 8.2e+03 0.066 0.098 -0.86 -
21 -0.42 0.67 -1.1 -0.47 -0.58 -0.98 -0.6 -0.52 -0.45 -0.54 -0.58 -0.55 -0.52 2.1 8.2e+03 0.066 0.049 -1.3 -
22 -0.37 0.69 -1.1 -0.42 -0.53 -1 -0.63 -0.57 -0.48 -0.54 -0.62 -0.55 -0.55 2 8.2e+03 0.039 0.049 0.28 +
23 -0.39 0.71 -1.1 -0.47 -0.56 -1 -0.62 -0.56 -0.47 -0.54 -0.61 -0.53 -0.54 2 8.2e+03 0.015 0.049 0.83 +
24 -0.4 0.74 -1 -0.5 -0.58 -1 -0.61 -0.59 -0.47 -0.53 -0.6 -0.53 -0.54 2 8.2e+03 0.009 0.049 0.71 +
25 -0.45 0.78 -1 -0.54 -0.61 -0.99 -0.58 -0.6 -0.47 -0.52 -0.61 -0.56 -0.55 1.9 8.2e+03 0.015 0.049 0.23 +
26 -0.5 0.81 -0.97 -0.52 -0.62 -0.99 -0.59 -0.65 -0.46 -0.5 -0.59 -0.6 -0.55 1.9 8.2e+03 0.0058 0.049 0.57 +
27 -0.52 0.84 -0.96 -0.54 -0.64 -0.97 -0.64 -0.64 -0.49 -0.48 -0.61 -0.55 -0.56 1.9 8.2e+03 0.0065 0.049 0.42 +
28 -0.52 0.84 -0.96 -0.54 -0.64 -0.97 -0.64 -0.64 -0.49 -0.48 -0.61 -0.55 -0.56 1.9 8.2e+03 0.0065 0.024 -2.2 -
29 -0.52 0.84 -0.96 -0.54 -0.64 -0.97 -0.64 -0.64 -0.49 -0.48 -0.61 -0.55 -0.56 1.9 8.2e+03 0.0065 0.012 -0.65 -
30 -0.54 0.85 -0.98 -0.53 -0.64 -0.97 -0.63 -0.63 -0.49 -0.48 -0.6 -0.56 -0.56 1.8 8.2e+03 0.0078 0.012 0.26 +
31 -0.54 0.86 -0.97 -0.53 -0.64 -0.98 -0.63 -0.64 -0.49 -0.47 -0.59 -0.57 -0.56 1.8 8.2e+03 0.0052 0.012 0.66 +
32 -0.54 0.86 -0.97 -0.53 -0.64 -0.98 -0.63 -0.64 -0.49 -0.47 -0.59 -0.57 -0.56 1.8 8.2e+03 0.0052 0.0061 -1 -
33 -0.54 0.86 -0.97 -0.53 -0.64 -0.98 -0.63 -0.64 -0.49 -0.47 -0.59 -0.57 -0.56 1.8 8.2e+03 0.0052 0.0031 0.055 -
34 -0.54 0.86 -0.96 -0.53 -0.64 -0.98 -0.63 -0.64 -0.49 -0.47 -0.59 -0.57 -0.56 1.8 8.2e+03 0.002 0.0031 0.67 +
35 -0.54 0.87 -0.97 -0.53 -0.65 -0.98 -0.63 -0.64 -0.49 -0.47 -0.59 -0.58 -0.56 1.8 8.2e+03 0.0033 0.0031 0.57 +
36 -0.54 0.87 -0.97 -0.53 -0.64 -0.98 -0.63 -0.64 -0.5 -0.47 -0.59 -0.58 -0.56 1.8 8.2e+03 0.0015 0.031 0.94 ++
37 -0.57 0.89 -0.96 -0.55 -0.65 -0.99 -0.64 -0.67 -0.51 -0.46 -0.59 -0.6 -0.56 1.8 8.2e+03 0.0036 0.031 0.79 +
38 -0.6 0.92 -0.97 -0.57 -0.66 -0.98 -0.66 -0.67 -0.53 -0.45 -0.6 -0.62 -0.56 1.8 8.2e+03 0.0058 0.031 0.35 +
39 -0.61 0.95 -0.95 -0.58 -0.66 -0.99 -0.69 -0.68 -0.54 -0.44 -0.6 -0.61 -0.57 1.7 8.2e+03 0.0055 0.031 0.52 +
40 -0.63 0.96 -0.96 -0.57 -0.66 -1 -0.69 -0.68 -0.54 -0.43 -0.59 -0.65 -0.56 1.7 8.2e+03 0.0037 0.031 0.39 +
41 -0.64 0.98 -0.95 -0.6 -0.67 -0.99 -0.7 -0.7 -0.56 -0.42 -0.59 -0.64 -0.57 1.7 8.2e+03 0.0024 0.031 0.82 +
42 -0.67 1 -0.95 -0.6 -0.68 -0.99 -0.72 -0.69 -0.56 -0.42 -0.58 -0.67 -0.56 1.7 8.2e+03 0.0024 0.031 0.46 +
43 -0.69 1 -0.95 -0.62 -0.68 -0.98 -0.75 -0.71 -0.58 -0.41 -0.59 -0.67 -0.57 1.7 8.2e+03 0.0016 0.031 0.6 +
44 -0.69 1 -0.94 -0.65 -0.68 -0.99 -0.75 -0.71 -0.58 -0.41 -0.58 -0.68 -0.57 1.7 8.2e+03 0.0012 0.031 0.11 +
45 -0.69 1 -0.94 -0.65 -0.68 -0.99 -0.75 -0.71 -0.58 -0.41 -0.58 -0.68 -0.57 1.7 8.2e+03 0.0012 0.015 -0.86 -
46 -0.7 1 -0.95 -0.63 -0.68 -0.99 -0.76 -0.71 -0.58 -0.41 -0.58 -0.69 -0.57 1.7 8.2e+03 0.001 0.015 0.63 +
47 -0.7 1 -0.95 -0.63 -0.68 -0.99 -0.76 -0.71 -0.58 -0.41 -0.58 -0.69 -0.57 1.7 8.2e+03 0.001 0.0076 -0.56 -
48 -0.7 1 -0.94 -0.64 -0.68 -0.99 -0.76 -0.71 -0.58 -0.41 -0.58 -0.68 -0.57 1.7 8.2e+03 0.00079 0.0076 0.49 +
49 -0.7 1 -0.94 -0.64 -0.68 -0.99 -0.77 -0.71 -0.58 -0.4 -0.58 -0.69 -0.57 1.7 8.2e+03 0.00043 0.0076 0.74 +
50 -0.71 1 -0.94 -0.64 -0.68 -0.98 -0.77 -0.71 -0.59 -0.4 -0.58 -0.69 -0.57 1.7 8.2e+03 0.00063 0.0076 0.24 +
51 -0.71 1 -0.94 -0.64 -0.68 -0.98 -0.77 -0.71 -0.59 -0.4 -0.58 -0.7 -0.57 1.7 8.2e+03 0.00027 0.0076 0.8 +
52 -0.71 1 -0.94 -0.65 -0.68 -0.98 -0.78 -0.72 -0.59 -0.4 -0.58 -0.7 -0.57 1.7 8.2e+03 0.00034 0.0076 0.56 +
53 -0.71 1.1 -0.93 -0.65 -0.68 -0.98 -0.79 -0.71 -0.59 -0.4 -0.58 -0.7 -0.57 1.7 8.2e+03 0.00051 0.0076 0.3 +
54 -0.71 1.1 -0.94 -0.65 -0.68 -0.98 -0.79 -0.71 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 0.00055 0.0076 0.27 +
55 -0.71 1.1 -0.94 -0.65 -0.68 -0.98 -0.79 -0.71 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 0.00055 0.0038 -0.38 -
56 -0.72 1.1 -0.93 -0.65 -0.68 -0.97 -0.79 -0.72 -0.59 -0.4 -0.58 -0.71 -0.57 1.7 8.2e+03 0.00033 0.0038 0.49 +
57 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.8 -0.71 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 0.0002 0.0038 0.44 +
58 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.8 -0.72 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 0.00019 0.0038 0.65 +
59 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.8 -0.72 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 0.00011 0.0038 0.75 +
60 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.8 -0.72 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 0.00011 0.0019 0.083 -
61 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.8 -0.72 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 9.2e-05 0.0019 0.74 +
62 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.8 -0.72 -0.59 -0.4 -0.57 -0.71 -0.57 1.7 8.2e+03 8.6e-05 0.0019 0.84 +
63 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.8 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 9.8e-05 0.0019 0.61 +
64 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 5.2e-05 0.0019 0.81 +
65 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 5.6e-05 0.0019 0.62 +
66 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.6 8.2e+03 0.0001 0.0019 0.25 +
67 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.6 8.2e+03 0.0001 0.00095 -1.5 -
68 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 9.3e-05 0.00095 0.59 +
69 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.6 8.2e+03 4.7e-05 0.00095 0.52 +
70 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.6 8.2e+03 4.7e-05 0.00048 0.0046 -
71 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.6 8.2e+03 3.6e-05 0.00048 0.8 +
72 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 3.1e-05 0.00048 0.76 +
73 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 2.3e-05 0.00048 0.9 +
74 -0.72 1.1 -0.93 -0.66 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 2e-05 0.00048 0.83 +
75 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 1.4e-05 0.0048 0.94 ++
76 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 1.4e-05 0.0024 -12 -
77 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 3.8e-05 0.0024 0.34 +
78 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 3.8e-05 0.0012 -11 -
79 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 3.8e-05 0.0006 -3.7 -
80 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 3.8e-05 0.0003 -0.68 -
81 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 1.5e-05 0.0003 0.33 +
82 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 1.3e-05 0.0003 0.36 +
83 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 1.8e-05 0.0003 0.18 +
84 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 1.8e-05 0.00015 -0.15 -
85 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 6.3e-06 0.0015 0.94 ++
86 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 6.3e-06 0.00075 -15 -
87 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 6.3e-06 0.00037 -5.3 -
88 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 6.3e-06 0.00019 -1.6 -
89 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 6.3e-06 9.3e-05 0.045 -
90 -0.72 1.1 -0.93 -0.67 -0.68 -0.97 -0.81 -0.72 -0.59 -0.4 -0.57 -0.72 -0.57 1.7 8.2e+03 3.4e-06 9.3e-05 0.53 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000087
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff b_cost_car Function Relgrad Radius Rho
0 -0.8 0.77 -0.74 -0.13 -0.85 -1 0.3 -0.6 -0.32 -0.58 -0.78 -0.029 -0.66 8.4e+03 0.09 10 1.1 ++
1 -0.94 1.3 -1.3 0.62 -0.97 -1.6 2.1 -0.74 -0.44 -0.88 -1.2 0.91 -0.62 8.2e+03 0.025 1e+02 1 ++
2 -0.85 1.3 -1.5 0.054 -1 -1.8 1.1 -0.75 -0.54 -0.99 -1.2 0.36 -0.67 8.2e+03 0.012 1e+02 0.28 +
3 -0.85 1.3 -1.5 0.054 -1 -1.8 1.1 -0.75 -0.54 -0.99 -1.2 0.36 -0.67 8.2e+03 0.012 0.6 0.058 -
4 -0.78 1.3 -1.4 0.26 -1 -1.5 1.7 -0.73 -0.38 -0.98 -1.2 0.64 -0.62 8.2e+03 0.0092 0.6 0.41 +
5 -0.81 1.3 -1.5 0.25 -1 -1.8 1.5 -0.75 -0.5 -0.99 -1.2 0.57 -0.65 8.1e+03 0.0029 0.6 0.79 +
6 -0.81 1.3 -1.5 0.31 -1 -1.8 1.6 -0.76 -0.5 -0.99 -1.2 0.64 -0.65 8.1e+03 2.5e-05 6 0.98 ++
7 -0.81 1.3 -1.5 0.31 -1 -1.8 1.6 -0.76 -0.5 -0.99 -1.2 0.64 -0.65 8.1e+03 4.5e-08 6 1 ++
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000088
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -1 0.94 -0.7 -0.4 -0.63 -0.86 -0.59 -0.49 -0.46 -0.57 -0.53 8.4e+03 0.081 10 1.1 ++
1 -1.1 1.4 -0.96 -0.64 -0.78 -1.1 -0.79 -0.53 -0.87 -0.64 -0.69 8.2e+03 0.018 1e+02 1.1 ++
2 -1 1.5 -1.1 -0.76 -0.8 -1.1 -0.84 -0.55 -1 -0.64 -0.72 8.2e+03 0.002 1e+03 1.1 ++
3 -1 1.5 -1.1 -0.78 -0.8 -1.1 -0.84 -0.55 -1 -0.64 -0.73 8.2e+03 3.7e-05 1e+04 1 ++
4 -1 1.5 -1.1 -0.78 -0.8 -1.1 -0.84 -0.55 -1 -0.64 -0.73 8.2e+03 2e-08 1e+04 1 ++
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000089
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car Function Relgrad Radius Rho
0 -0.88 0.32 0.24 -0.57 -0.43 -0.85 -0.74 -0.48 -0.0062 -0.4 -0.53 8.6e+03 0.054 10 1.1 ++
1 -0.77 0.61 0.5 -0.94 -0.55 -1.4 -0.86 -0.41 -0.11 -0.58 -0.36 8.4e+03 0.021 1e+02 1.2 ++
2 -0.77 0.73 0.62 -0.99 -0.61 -1.7 -0.91 -0.45 -0.12 -0.61 -0.34 8.3e+03 0.0037 1e+03 1.1 ++
3 -0.77 0.75 0.63 -0.99 -0.62 -1.8 -0.91 -0.45 -0.12 -0.61 -0.34 8.3e+03 0.00011 1e+04 1 ++
4 -0.77 0.75 0.63 -0.99 -0.62 -1.8 -0.91 -0.45 -0.12 -0.61 -0.34 8.3e+03 1e-07 1e+04 1 ++
Considering neighbor 3/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000090
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train b_cost_train b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_GA b_time_car b_cost_car Function Relgrad Radius Rho
0 -0.89 0.79 -0.8 -0.73 -1 -0.61 -0.38 -0.57 -0.76 -0.68 8.5e+03 0.083 10 1.1 ++
1 -1 1.3 -1.2 -0.9 -1.4 -0.72 -0.49 -0.93 -1.1 -0.6 8.3e+03 0.022 1e+02 1.1 ++
2 -0.88 1.3 -1.4 -0.99 -1.5 -0.73 -0.5 -1 -1.1 -0.62 8.3e+03 0.0023 1e+03 1.1 ++
3 -0.86 1.3 -1.4 -1 -1.5 -0.73 -0.51 -1.1 -1.1 -0.62 8.3e+03 2.9e-05 1e+04 1 ++
4 -0.86 1.3 -1.4 -1 -1.5 -0.73 -0.51 -1.1 -1.1 -0.62 8.3e+03 6e-09 1e+04 1 ++
Considering neighbor 4/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000091
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.48 -
1 -0.5 -0.5 -0.5 -0.5 0.5 0.5 -0.5 -0.5 1.5 1e+04 0.21 0.5 0.21 +
2 -0.29 -0.33 -0.43 -0.45 0 0.57 -0.56 -0.38 1.2 9.2e+03 0.097 0.5 0.68 +
3 -0.23 -0.035 -0.9 -0.61 0.008 0.17 -0.71 -0.66 1 9e+03 0.12 0.5 0.24 +
4 -0.23 -0.035 -0.9 -0.61 0.008 0.17 -0.71 -0.66 1 9e+03 0.12 0.25 -0.013 -
5 -0.32 0.016 -0.88 -0.71 -0.24 0.4 -0.72 -0.41 1.2 8.7e+03 0.05 0.25 0.83 +
6 -0.33 0.25 -1.1 -0.87 -0.28 0.15 -0.83 -0.53 1.2 8.5e+03 0.079 0.25 0.48 +
7 -0.22 0.41 -1.1 -0.86 -0.53 0.094 -0.88 -0.5 1.1 8.4e+03 0.035 0.25 0.39 +
8 -0.39 0.62 -1.2 -1.1 -0.64 0.059 -0.95 -0.4 1.3 8.4e+03 0.05 0.25 0.14 +
9 -0.39 0.62 -1.2 -1.1 -0.64 0.059 -0.95 -0.4 1.3 8.4e+03 0.05 0.12 -0.082 -
10 -0.26 0.68 -1.2 -1 -0.56 -0.066 -0.97 -0.52 1.2 8.3e+03 0.027 0.12 0.55 +
11 -0.29 0.71 -1.2 -1 -0.69 -0.058 -0.99 -0.46 1.2 8.3e+03 0.029 0.12 0.19 +
12 -0.29 0.71 -1.2 -1 -0.69 -0.058 -0.99 -0.46 1.2 8.3e+03 0.029 0.062 -0.13 -
13 -0.36 0.72 -1.2 -1.1 -0.64 -0.11 -1 -0.48 1.3 8.3e+03 0.019 0.062 0.48 +
14 -0.34 0.76 -1.2 -1.1 -0.69 -0.17 -1 -0.5 1.2 8.3e+03 0.0092 0.062 0.64 +
15 -0.4 0.79 -1.2 -1.1 -0.73 -0.17 -1 -0.46 1.3 8.3e+03 0.015 0.062 0.12 +
16 -0.4 0.81 -1.2 -1.1 -0.71 -0.23 -1 -0.49 1.3 8.3e+03 0.014 0.062 0.58 +
17 -0.4 0.81 -1.2 -1.1 -0.71 -0.23 -1 -0.49 1.3 8.3e+03 0.014 0.031 -0.5 -
18 -0.39 0.82 -1.2 -1.1 -0.74 -0.22 -1 -0.46 1.3 8.3e+03 0.011 0.031 0.12 +
19 -0.42 0.84 -1.2 -1.1 -0.73 -0.25 -1.1 -0.47 1.3 8.3e+03 0.0029 0.31 0.95 ++
20 -0.42 0.84 -1.2 -1.1 -0.73 -0.25 -1.1 -0.47 1.3 8.3e+03 0.0029 0.16 -1.2 -
21 -0.42 0.84 -1.2 -1.1 -0.73 -0.25 -1.1 -0.47 1.3 8.3e+03 0.0029 0.078 -0.13 -
22 -0.45 0.89 -1.2 -1.1 -0.79 -0.33 -1.1 -0.46 1.3 8.3e+03 0.0095 0.078 0.29 +
23 -0.45 0.89 -1.2 -1.1 -0.79 -0.33 -1.1 -0.46 1.3 8.3e+03 0.0095 0.039 -0.26 -
24 -0.49 0.9 -1.2 -1.1 -0.77 -0.34 -1.1 -0.45 1.3 8.3e+03 0.0052 0.039 0.43 +
25 -0.49 0.94 -1.2 -1.1 -0.76 -0.37 -1.1 -0.44 1.3 8.3e+03 0.0052 0.039 0.4 +
26 -0.49 0.94 -1.2 -1.1 -0.76 -0.37 -1.1 -0.44 1.3 8.3e+03 0.0052 0.02 -0.13 -
27 -0.5 0.94 -1.2 -1.1 -0.78 -0.35 -1.1 -0.42 1.3 8.3e+03 0.0062 0.02 0.24 +
28 -0.52 0.95 -1.2 -1.1 -0.78 -0.37 -1.1 -0.42 1.3 8.3e+03 0.001 0.02 0.86 +
29 -0.53 0.97 -1.2 -1.1 -0.77 -0.37 -1.1 -0.41 1.3 8.3e+03 0.0013 0.02 0.82 +
30 -0.53 0.97 -1.2 -1.1 -0.77 -0.37 -1.1 -0.41 1.3 8.3e+03 0.0013 0.0098 -0.14 -
31 -0.53 0.97 -1.2 -1.1 -0.77 -0.37 -1.1 -0.41 1.3 8.3e+03 0.0013 0.0049 0.033 -
32 -0.53 0.97 -1.2 -1.1 -0.77 -0.37 -1.1 -0.41 1.3 8.3e+03 0.0013 0.0024 0.07 -
33 -0.53 0.97 -1.2 -1.1 -0.77 -0.37 -1.1 -0.41 1.3 8.3e+03 0.00066 0.0024 0.76 +
34 -0.54 0.97 -1.2 -1.1 -0.77 -0.37 -1.1 -0.41 1.3 8.3e+03 0.00083 0.0024 0.89 +
35 -0.54 0.97 -1.2 -1.1 -0.77 -0.37 -1.1 -0.41 1.3 8.3e+03 0.00061 0.024 0.94 ++
36 -0.56 0.99 -1.2 -1.1 -0.77 -0.37 -1.1 -0.4 1.2 8.3e+03 0.0012 0.024 0.87 +
37 -0.56 0.99 -1.2 -1.1 -0.77 -0.37 -1.1 -0.4 1.2 8.3e+03 0.0012 0.012 -0.066 -
38 -0.56 0.99 -1.2 -1.1 -0.77 -0.37 -1.1 -0.4 1.2 8.3e+03 0.0012 0.0061 0.08 -
39 -0.57 1 -1.2 -1.1 -0.77 -0.37 -1.1 -0.4 1.2 8.3e+03 0.0012 0.0061 0.45 +
40 -0.57 1 -1.2 -1.1 -0.77 -0.37 -1.1 -0.4 1.2 8.3e+03 0.00061 0.0061 0.74 +
41 -0.57 1 -1.2 -1.1 -0.77 -0.37 -1.1 -0.4 1.2 8.3e+03 0.00087 0.0061 0.83 +
42 -0.58 1 -1.2 -1.1 -0.77 -0.37 -1.1 -0.39 1.2 8.3e+03 0.00047 0.061 0.97 ++
43 -0.63 1.1 -1.2 -1 -0.76 -0.37 -1.2 -0.38 1.2 8.3e+03 0.0024 0.061 0.7 +
44 -0.63 1.1 -1.2 -1 -0.76 -0.37 -1.2 -0.38 1.2 8.3e+03 0.0024 0.031 -0.27 -
45 -0.66 1.1 -1.2 -1 -0.77 -0.35 -1.2 -0.38 1.2 8.3e+03 0.0028 0.031 0.27 +
46 -0.66 1.1 -1.2 -1 -0.77 -0.35 -1.2 -0.38 1.2 8.3e+03 0.0028 0.015 -0.2 -
47 -0.66 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00073 0.015 0.69 +
48 -0.66 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00073 0.0076 -1.9 -
49 -0.67 1.1 -1.2 -1 -0.76 -0.36 -1.2 -0.38 1.1 8.3e+03 0.00073 0.0076 0.12 +
50 -0.67 1.1 -1.2 -1 -0.76 -0.36 -1.2 -0.38 1.1 8.3e+03 0.00073 0.0038 -3 -
51 -0.67 1.1 -1.2 -1 -0.76 -0.36 -1.2 -0.38 1.1 8.3e+03 0.00073 0.0019 -0.013 -
52 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00052 0.0019 0.75 +
53 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00027 0.019 0.96 ++
54 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00027 0.0095 -5.7 -
55 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00027 0.0048 -1.5 -
56 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00027 0.0024 -0.15 -
57 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00037 0.0024 0.42 +
58 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00016 0.0024 0.88 +
59 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00016 0.0012 -1.7 -
60 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00016 0.0006 -0.75 -
61 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00032 0.0006 0.3 +
62 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00016 0.006 0.96 ++
63 -0.67 1.1 -1.2 -1 -0.76 -0.35 -1.2 -0.38 1.1 8.3e+03 0.00013 0.06 0.98 ++
64 -0.73 1.2 -1.2 -1 -0.77 -0.34 -1.1 -0.38 1.1 8.3e+03 0.00055 0.06 0.22 +
65 -0.73 1.2 -1.2 -1 -0.77 -0.34 -1.1 -0.38 1.1 8.3e+03 0.00055 0.03 -7.9 -
66 -0.73 1.2 -1.2 -1 -0.77 -0.34 -1.1 -0.38 1.1 8.3e+03 0.00055 0.015 -2 -
67 -0.73 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00057 0.015 0.16 +
68 -0.73 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00057 0.0075 -1.4 -
69 -0.73 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00017 0.0075 0.87 +
70 -0.73 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00017 0.0037 -1.2 -
71 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00014 0.0037 0.33 +
72 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00014 0.0019 0.0083 -
73 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00014 0.00093 0.08 -
74 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00014 0.00093 0.67 +
75 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.0001 0.00093 0.49 +
76 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 6.5e-05 0.0093 0.94 ++
77 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 6.5e-05 0.0047 -0.023 -
78 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00017 0.0047 0.47 +
79 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00017 0.0023 0.089 -
80 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00013 0.0023 0.42 +
81 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 0.00013 0.0012 -0.26 -
82 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 5.8e-05 0.0012 0.72 +
83 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 5.8e-05 0.00058 0.07 -
84 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 2.6e-05 0.00058 0.53 +
85 -0.72 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 1.3e-05 0.00058 0.65 +
86 -0.71 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 1e-05 0.00058 0.58 +
87 -0.71 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 1e-05 0.00029 -0.2 -
88 -0.71 1.2 -1.2 -1 -0.76 -0.35 -1.1 -0.37 1.1 8.3e+03 5.8e-06 0.00029 0.7 -
Considering neighbor 5/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000092
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_GA mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.022 -
1 -0.5 0.5 -0.5 -0.5 -0.5 0.5 -0.5 2.3 8.8e+03 0.17 0.5 0.34 +
2 -0.5 0.5 -0.5 -0.5 -0.5 0.5 -0.5 2.3 8.8e+03 0.17 0.25 -0.15 -
3 -0.25 0.75 -0.75 -0.75 -0.25 0.25 -0.75 2 8.4e+03 0.034 0.25 0.43 +
4 -0.5 0.69 -0.79 -0.65 -0.5 0.24 -0.75 2 8.3e+03 0.043 0.25 0.5 +
5 -0.5 0.69 -0.79 -0.65 -0.5 0.24 -0.75 2 8.3e+03 0.043 0.12 -0.073 -
6 -0.5 0.69 -0.79 -0.65 -0.5 0.24 -0.75 2 8.3e+03 0.043 0.062 -0.1 -
7 -0.44 0.75 -0.73 -0.59 -0.56 0.18 -0.81 2 8.3e+03 0.02 0.062 0.55 +
8 -0.5 0.69 -0.79 -0.64 -0.5 0.12 -0.77 1.9 8.3e+03 0.0098 0.062 0.35 +
9 -0.5 0.69 -0.79 -0.64 -0.5 0.12 -0.77 1.9 8.3e+03 0.0098 0.031 -0.47 -
10 -0.47 0.72 -0.76 -0.6 -0.53 0.085 -0.77 1.9 8.2e+03 0.014 0.031 0.44 +
11 -0.5 0.73 -0.79 -0.57 -0.56 0.12 -0.75 1.9 8.2e+03 0.0062 0.031 0.66 +
12 -0.53 0.76 -0.76 -0.54 -0.59 0.085 -0.71 1.8 8.2e+03 0.0072 0.031 0.7 +
13 -0.56 0.8 -0.79 -0.57 -0.56 0.054 -0.7 1.8 8.2e+03 0.0052 0.031 0.35 +
14 -0.59 0.81 -0.76 -0.54 -0.59 0.078 -0.7 1.8 8.2e+03 0.0067 0.031 0.79 +
15 -0.59 0.84 -0.79 -0.52 -0.61 0.047 -0.7 1.8 8.2e+03 0.0049 0.031 0.76 +
16 -0.63 0.87 -0.79 -0.52 -0.61 0.07 -0.7 1.7 8.2e+03 0.0057 0.031 0.76 +
17 -0.63 0.88 -0.79 -0.52 -0.61 0.039 -0.7 1.7 8.2e+03 0.0038 0.031 0.8 +
18 -0.66 0.89 -0.79 -0.52 -0.62 0.049 -0.7 1.7 8.2e+03 0.0033 0.031 0.83 +
19 -0.67 0.92 -0.78 -0.52 -0.62 0.025 -0.7 1.7 8.2e+03 0.0028 0.031 0.82 +
20 -0.7 0.95 -0.78 -0.52 -0.63 0.037 -0.69 1.6 8.2e+03 0.0025 0.031 0.8 +
21 -0.71 0.98 -0.79 -0.53 -0.64 0.021 -0.7 1.6 8.2e+03 0.0021 0.031 0.77 +
22 -0.74 1 -0.79 -0.53 -0.65 0.032 -0.7 1.6 8.2e+03 0.002 0.031 0.78 +
23 -0.76 1 -0.8 -0.54 -0.66 0.017 -0.7 1.5 8.2e+03 0.0016 0.031 0.67 +
24 -0.76 1.1 -0.79 -0.54 -0.66 0.022 -0.71 1.5 8.2e+03 0.0027 0.031 0.38 +
25 -0.79 1.1 -0.79 -0.54 -0.68 0.0088 -0.73 1.5 8.2e+03 0.0011 0.031 0.49 +
26 -0.79 1.1 -0.79 -0.54 -0.68 0.0088 -0.73 1.5 8.2e+03 0.0011 0.016 -0.33 -
27 -0.79 1.1 -0.79 -0.54 -0.67 0.021 -0.72 1.5 8.2e+03 0.00062 0.016 0.51 +
28 -0.79 1.1 -0.79 -0.54 -0.67 0.021 -0.72 1.5 8.2e+03 0.00062 0.0078 -0.42 -
29 -0.79 1.1 -0.79 -0.55 -0.67 0.019 -0.73 1.5 8.2e+03 0.00018 0.0078 0.71 +
30 -0.79 1.1 -0.79 -0.55 -0.67 0.019 -0.73 1.5 8.2e+03 0.00018 0.0039 -2.2 -
31 -0.79 1.1 -0.79 -0.55 -0.67 0.019 -0.73 1.5 8.2e+03 0.00018 0.002 -0.29 -
32 -0.79 1.1 -0.79 -0.54 -0.67 0.021 -0.73 1.5 8.2e+03 0.00031 0.002 0.22 +
33 -0.79 1.1 -0.79 -0.55 -0.67 0.02 -0.73 1.5 8.2e+03 0.00017 0.002 0.5 +
34 -0.79 1.1 -0.79 -0.55 -0.67 0.02 -0.73 1.5 8.2e+03 6.9e-05 0.02 0.93 ++
35 -0.79 1.1 -0.79 -0.55 -0.67 0.02 -0.73 1.5 8.2e+03 6.9e-05 0.0098 -0.73 -
36 -0.8 1.1 -0.8 -0.55 -0.67 0.021 -0.74 1.5 8.2e+03 0.0002 0.0098 0.37 +
37 -0.8 1.1 -0.8 -0.55 -0.67 0.021 -0.74 1.5 8.2e+03 0.0002 0.0049 -3.1 -
38 -0.8 1.1 -0.8 -0.55 -0.67 0.021 -0.74 1.5 8.2e+03 0.0002 0.0024 -1.7 -
39 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 6.5e-05 0.0024 0.78 +
40 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 6.5e-05 0.0012 -4.2 -
41 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 6.5e-05 0.00061 -1.4 -
42 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 9.1e-05 0.00061 0.13 +
43 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 7.2e-05 0.00061 0.3 +
44 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 3.4e-05 0.00061 0.68 +
45 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 2.3e-05 0.00061 0.35 +
46 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 2.3e-05 0.00031 -0.054 -
47 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 7e-06 0.00031 0.7 +
48 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 6.3e-06 0.00031 0.74 +
49 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 7e-06 0.00031 0.42 +
50 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 7e-06 0.00015 -3.2 -
51 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 7e-06 7.6e-05 -1 -
52 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 2.8e-06 7.6e-05 0.75 -
Considering neighbor 6/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:linear [8221.537773856026, 8]
Attempt 44/100
Biogeme parameters read from biogeme.toml.
Model with 17 unknown parameters [max: 50]
*** Estimate b07everything_000093
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 8.4e+03 0.081 10 1.1 ++
1 8.2e+03 0.02 1e+02 1.1 ++
2 8.2e+03 0.0025 1e+03 1.1 ++
3 8.2e+03 5.9e-05 1e+04 1 ++
4 8.2e+03 3.5e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 45/100
Considering neighbor 0/20 for current solution
Attempt 46/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000094
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -0.84 -0.66 -0.49 -0.75 -0.78 -0.64 -0.69 -0.38 -0.63 8.7e+03 0.076 10 1.1 ++
1 -0.43 -1.2 -0.72 -0.85 -1 -0.83 -0.59 -0.58 -0.73 8.5e+03 0.02 1e+02 1.1 ++
2 -0.23 -1.3 -0.84 -0.86 -1.1 -0.87 -0.61 -0.58 -0.77 8.5e+03 0.0027 1e+03 1.1 ++
3 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 8.5e+03 4.8e-05 1e+04 1 ++
4 -0.21 -1.3 -0.86 -0.86 -1.1 -0.88 -0.61 -0.58 -0.77 8.5e+03 1.6e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 47/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000095
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -0.89 0.87 -0.83 -0.16 -0.65 -1 0.27 -0.37 -0.45 -0.79 -0.016 8.5e+03 0.084 10 1.1 ++
1 -1 1.5 -1.4 0.66 -0.73 -1.7 2.2 -0.41 -0.84 -1.2 0.96 8.2e+03 0.025 1e+02 0.98 ++
2 -1 1.6 -1.5 0.098 -0.75 -1.8 1.1 -0.56 -0.98 -1.1 0.43 8.2e+03 0.013 1e+02 0.34 +
3 -0.96 1.5 -1.6 0.6 -0.75 -1.8 2.2 -0.45 -1 -1.2 0.97 8.2e+03 0.008 1e+02 0.14 +
4 -0.96 1.5 -1.6 0.6 -0.75 -1.8 2.2 -0.45 -1 -1.2 0.97 8.2e+03 0.008 0.51 -0.04 -
5 -0.99 1.6 -1.7 0.39 -0.74 -2 1.7 -0.58 -1 -1.2 0.69 8.2e+03 0.011 0.51 0.55 +
6 -0.97 1.6 -1.6 0.33 -0.75 -1.8 1.6 -0.48 -1 -1.2 0.64 8.2e+03 0.0003 5.1 0.98 ++
7 -0.97 1.6 -1.6 0.33 -0.75 -1.8 1.6 -0.48 -1 -1.2 0.64 8.2e+03 3.9e-07 5.1 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 17 unknown parameters [max: 50]
*** Estimate b07everything_000096
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 8.4e+03 0.091 10 1.1 ++
1 8.1e+03 0.026 1e+02 1 ++
2 8.1e+03 0.013 1e+02 0.31 +
3 8.1e+03 0.013 0.66 0.011 -
4 8.1e+03 0.0096 0.66 0.38 +
5 8.1e+03 0.0042 0.66 0.7 +
6 8.1e+03 0.00028 6.6 0.93 ++
7 8.1e+03 2.8e-06 6.6 0.99 ++
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000097
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -0.76 -0.84 -0.13 -0.69 -1 0.27 -0.44 -0.75 -0.02 8.7e+03 0.078 10 1.1 ++
1 -0.33 -1.6 0.75 -0.78 -1.7 2.2 -0.46 -1.1 0.97 8.5e+03 0.028 1e+02 0.95 ++
2 -0.15 -1.9 0.24 -0.8 -1.8 1.2 -0.6 -1.1 0.47 8.5e+03 0.013 1e+02 0.47 +
3 -0.097 -1.9 0.6 -0.81 -1.8 2 -0.5 -1.2 0.83 8.5e+03 0.0056 1e+02 0.39 +
4 -0.11 -1.9 0.31 -0.8 -1.8 1.4 -0.55 -1.1 0.51 8.5e+03 0.0062 1e+02 0.25 +
5 -0.1 -1.9 0.44 -0.81 -1.8 1.7 -0.52 -1.2 0.65 8.5e+03 0.00076 1e+02 0.87 +
6 -0.1 -1.9 0.42 -0.81 -1.8 1.6 -0.53 -1.2 0.63 8.5e+03 3e-05 1e+03 0.98 ++
7 -0.1 -1.9 0.42 -0.81 -1.8 1.6 -0.53 -1.2 0.63 8.5e+03 2.6e-08 1e+03 1 ++
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000098
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.35 -
1 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.25 0.066 -
2 -0.25 0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 -0.25 0.25 -0.25 2 9.1e+03 0.13 0.25 0.45 +
3 -0.19 0.5 0 -0.25 -0.5 -0.5 -0.5 0 -0.5 0 -0.5 2.3 8.5e+03 0.12 0.25 0.47 +
4 -0.19 0.5 0 -0.25 -0.5 -0.5 -0.5 0 -0.5 0 -0.5 2.3 8.5e+03 0.12 0.12 -0.37 -
5 -0.32 0.46 -0.12 -0.26 -0.62 -0.59 -0.46 0.12 -0.49 0.12 -0.49 2.3 8.4e+03 0.056 0.12 0.33 +
6 -0.31 0.5 -0.042 -0.26 -0.66 -0.6 -0.48 0.042 -0.51 0 -0.49 2.3 8.3e+03 0.031 0.12 0.79 +
7 -0.43 0.52 -0.024 -0.27 -0.68 -0.58 -0.5 0.13 -0.52 -0.032 -0.49 2.3 8.3e+03 0.025 0.12 0.5 +
8 -0.46 0.59 0.097 -0.26 -0.67 -0.54 -0.54 0.1 -0.54 -0.16 -0.49 2.3 8.3e+03 0.025 0.12 0.38 +
9 -0.59 0.63 0.11 -0.25 -0.7 -0.51 -0.52 0.14 -0.54 -0.16 -0.5 2.2 8.2e+03 0.011 0.12 0.57 +
10 -0.6 0.68 0.14 -0.23 -0.69 -0.48 -0.51 0.088 -0.53 -0.1 -0.51 2.1 8.2e+03 0.006 0.12 0.74 +
11 -0.7 0.75 0.16 -0.19 -0.78 -0.51 -0.6 0.043 -0.52 -0.074 -0.53 2 8.2e+03 0.0099 0.12 0.44 +
12 -0.7 0.75 0.16 -0.19 -0.78 -0.51 -0.6 0.043 -0.52 -0.074 -0.53 2 8.2e+03 0.0099 0.062 -0.55 -
13 -0.7 0.78 0.2 -0.17 -0.73 -0.48 -0.62 0.088 -0.52 -0.053 -0.53 1.9 8.2e+03 0.0083 0.062 0.38 +
14 -0.7 0.78 0.2 -0.17 -0.73 -0.48 -0.62 0.088 -0.52 -0.053 -0.53 1.9 8.2e+03 0.0083 0.031 -0.094 -
15 -0.72 0.78 0.19 -0.17 -0.76 -0.52 -0.59 0.057 -0.52 -0.085 -0.53 1.9 8.2e+03 0.0047 0.031 0.77 +
16 -0.74 0.8 0.2 -0.16 -0.74 -0.5 -0.59 0.079 -0.52 -0.071 -0.53 1.8 8.2e+03 0.0038 0.031 0.83 +
17 -0.74 0.81 0.22 -0.15 -0.75 -0.51 -0.59 0.058 -0.53 -0.085 -0.54 1.8 8.2e+03 0.0073 0.031 0.27 +
18 -0.77 0.82 0.21 -0.14 -0.76 -0.51 -0.6 0.068 -0.53 -0.076 -0.54 1.8 8.2e+03 0.0026 0.031 0.79 +
19 -0.77 0.84 0.23 -0.13 -0.75 -0.5 -0.61 0.074 -0.54 -0.072 -0.54 1.8 8.2e+03 0.0043 0.031 0.54 +
20 -0.8 0.86 0.23 -0.11 -0.77 -0.52 -0.61 0.059 -0.55 -0.079 -0.54 1.7 8.2e+03 0.0034 0.031 0.8 +
21 -0.82 0.88 0.23 -0.098 -0.77 -0.51 -0.62 0.076 -0.55 -0.067 -0.54 1.7 8.2e+03 0.0039 0.031 0.73 +
22 -0.83 0.89 0.25 -0.084 -0.77 -0.52 -0.63 0.064 -0.56 -0.074 -0.55 1.7 8.2e+03 0.0035 0.031 0.75 +
23 -0.86 0.91 0.25 -0.065 -0.79 -0.52 -0.63 0.063 -0.57 -0.072 -0.55 1.6 8.2e+03 0.0013 0.31 0.92 ++
24 -0.86 0.91 0.25 -0.065 -0.79 -0.52 -0.63 0.063 -0.57 -0.072 -0.55 1.6 8.2e+03 0.0013 0.16 -0.5 -
25 -0.86 0.91 0.25 -0.065 -0.79 -0.52 -0.63 0.063 -0.57 -0.072 -0.55 1.6 8.2e+03 0.0013 0.078 0.09 -
26 -0.91 0.96 0.28 -0.016 -0.78 -0.52 -0.66 0.084 -0.6 -0.055 -0.55 1.6 8.2e+03 0.0072 0.078 0.19 +
27 -0.98 1 0.3 0.052 -0.81 -0.55 -0.67 0.05 -0.64 -0.07 -0.56 1.5 8.2e+03 0.0028 0.078 0.59 +
28 -1 1 0.34 0.13 -0.79 -0.54 -0.68 0.053 -0.69 -0.064 -0.56 1.5 8.2e+03 0.0016 0.078 0.44 +
29 -1 1 0.34 0.13 -0.79 -0.54 -0.68 0.053 -0.69 -0.064 -0.56 1.5 8.2e+03 0.0016 0.039 -2.1 -
30 -1 1 0.34 0.13 -0.79 -0.54 -0.68 0.053 -0.69 -0.064 -0.56 1.5 8.2e+03 0.0016 0.02 -0.12 -
31 -1 1 0.33 0.14 -0.8 -0.54 -0.67 0.046 -0.69 -0.054 -0.55 1.5 8.2e+03 0.0011 0.02 0.66 +
32 -1 1 0.34 0.15 -0.8 -0.54 -0.69 0.051 -0.7 -0.053 -0.55 1.5 8.2e+03 0.0012 0.02 0.19 +
33 -1 1 0.34 0.15 -0.8 -0.54 -0.69 0.051 -0.7 -0.053 -0.55 1.5 8.2e+03 0.0012 0.0098 -0.87 -
34 -1 1 0.34 0.15 -0.8 -0.54 -0.69 0.051 -0.7 -0.053 -0.55 1.5 8.2e+03 0.0012 0.0049 -0.2 -
35 -1 1 0.34 0.15 -0.8 -0.54 -0.69 0.051 -0.7 -0.053 -0.55 1.5 8.2e+03 0.0012 0.0024 -0.39 -
36 -1 1 0.33 0.16 -0.8 -0.54 -0.68 0.049 -0.7 -0.055 -0.55 1.5 8.2e+03 0.00065 0.0024 0.47 +
37 -1 1 0.34 0.16 -0.8 -0.54 -0.68 0.051 -0.7 -0.053 -0.55 1.5 8.2e+03 0.00067 0.0024 0.81 +
38 -1 1 0.33 0.16 -0.8 -0.54 -0.68 0.05 -0.7 -0.054 -0.55 1.5 8.2e+03 0.00033 0.0024 0.68 +
39 -1 1 0.34 0.16 -0.8 -0.54 -0.68 0.052 -0.7 -0.052 -0.54 1.5 8.2e+03 0.00046 0.0024 0.41 +
40 -1 1 0.34 0.17 -0.8 -0.54 -0.67 0.05 -0.7 -0.053 -0.54 1.5 8.2e+03 0.00028 0.0024 0.73 +
41 -1 1 0.34 0.17 -0.8 -0.54 -0.67 0.051 -0.7 -0.053 -0.54 1.5 8.2e+03 0.00026 0.024 0.94 ++
42 -1 1 0.34 0.19 -0.8 -0.54 -0.67 0.05 -0.71 -0.056 -0.53 1.5 8.2e+03 0.0003 0.024 0.75 +
43 -1 1 0.34 0.19 -0.8 -0.54 -0.67 0.05 -0.71 -0.056 -0.53 1.5 8.2e+03 0.0003 0.012 -0.4 -
44 -1 1 0.34 0.21 -0.8 -0.54 -0.67 0.049 -0.71 -0.05 -0.53 1.5 8.2e+03 0.00077 0.012 0.22 +
45 -1 1 0.35 0.22 -0.8 -0.54 -0.68 0.05 -0.71 -0.05 -0.52 1.5 8.2e+03 0.00081 0.012 0.2 +
46 -1 1 0.35 0.23 -0.8 -0.54 -0.67 0.05 -0.71 -0.053 -0.51 1.5 8.2e+03 0.00062 0.012 0.53 +
47 -1 1 0.35 0.24 -0.8 -0.54 -0.67 0.045 -0.72 -0.044 -0.49 1.5 8.2e+03 0.00019 0.012 0.55 +
48 -1 1 0.35 0.24 -0.8 -0.54 -0.67 0.045 -0.72 -0.044 -0.49 1.5 8.2e+03 0.00019 0.0061 -1 -
49 -1 1 0.35 0.24 -0.8 -0.54 -0.67 0.045 -0.72 -0.044 -0.49 1.5 8.2e+03 0.00019 0.0031 0.021 -
50 -1 1 0.35 0.24 -0.8 -0.54 -0.68 0.046 -0.72 -0.047 -0.49 1.5 8.2e+03 0.00032 0.0031 0.39 +
51 -1 1 0.35 0.24 -0.8 -0.54 -0.68 0.046 -0.72 -0.047 -0.49 1.5 8.2e+03 0.00032 0.0015 -0.18 -
52 -1 1 0.35 0.24 -0.8 -0.54 -0.67 0.046 -0.72 -0.048 -0.49 1.5 8.2e+03 0.00022 0.0015 0.47 +
53 -1 1 0.35 0.24 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.49 1.5 8.2e+03 9e-05 0.0015 0.69 +
54 -1 1 0.35 0.24 -0.8 -0.54 -0.67 0.048 -0.72 -0.049 -0.49 1.5 8.2e+03 6.4e-05 0.0015 0.71 +
55 -1 1 0.35 0.25 -0.8 -0.54 -0.68 0.048 -0.72 -0.049 -0.49 1.5 8.2e+03 0.00014 0.0015 0.58 +
56 -1 1 0.35 0.25 -0.8 -0.54 -0.68 0.047 -0.72 -0.049 -0.49 1.5 8.2e+03 0.00011 0.0015 0.67 +
57 -1 1 0.35 0.25 -0.8 -0.54 -0.67 0.047 -0.72 -0.049 -0.48 1.5 8.2e+03 0.00011 0.0015 0.8 +
58 -1 1 0.35 0.25 -0.8 -0.54 -0.68 0.047 -0.72 -0.049 -0.48 1.5 8.2e+03 5.4e-05 0.015 0.94 ++
59 -1 1 0.35 0.25 -0.8 -0.54 -0.68 0.047 -0.72 -0.049 -0.48 1.5 8.2e+03 5.4e-05 0.0076 -0.85 -
60 -1 1 0.35 0.25 -0.8 -0.54 -0.68 0.047 -0.72 -0.049 -0.48 1.5 8.2e+03 5.4e-05 0.0038 -0.083 -
61 -1 1 0.35 0.25 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.48 1.5 8.2e+03 0.00023 0.0038 0.16 +
62 -1 1 0.35 0.25 -0.8 -0.54 -0.67 0.047 -0.72 -0.049 -0.48 1.5 8.2e+03 0.00016 0.0038 0.49 +
63 -1 1 0.35 0.25 -0.8 -0.54 -0.67 0.047 -0.72 -0.049 -0.48 1.5 8.2e+03 0.00016 0.0019 -1.3 -
64 -1 1 0.35 0.25 -0.8 -0.54 -0.68 0.048 -0.72 -0.048 -0.47 1.5 8.2e+03 0.00018 0.0019 0.11 +
65 -1 1 0.35 0.26 -0.8 -0.54 -0.67 0.047 -0.72 -0.047 -0.47 1.5 8.2e+03 8.2e-05 0.0019 0.57 +
66 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.046 -0.72 -0.048 -0.47 1.5 8.2e+03 0.0001 0.0019 0.19 +
67 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.046 -0.72 -0.048 -0.47 1.5 8.2e+03 0.0001 0.00095 0.0056 -
68 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 2.2e-05 0.0095 0.92 ++
69 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 2.2e-05 0.0048 -2.3 -
70 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 2.2e-05 0.0024 -0.57 -
71 -1 1 0.35 0.26 -0.8 -0.54 -0.67 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 5.6e-05 0.0024 0.38 +
72 -1 1 0.35 0.26 -0.8 -0.54 -0.67 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 5.6e-05 0.0012 -0.95 -
73 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.046 -0.72 -0.047 -0.47 1.5 8.2e+03 4.2e-05 0.0012 0.49 +
74 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.046 -0.72 -0.047 -0.47 1.5 8.2e+03 4.2e-05 0.0006 -0.4 -
75 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 2.3e-05 0.0006 0.67 +
76 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 3.6e-05 0.0006 0.11 +
77 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 1e-05 0.006 0.96 ++
78 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 1e-05 0.003 -2.5 -
79 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 1e-05 0.0015 -0.83 -
80 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 1e-05 0.00075 0.056 -
81 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.47 1.5 8.2e+03 1.7e-05 0.00075 0.4 +
82 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.46 1.5 8.2e+03 1.2e-05 0.00075 0.77 +
83 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.46 1.5 8.2e+03 7e-06 0.00075 0.82 +
84 -1 1 0.35 0.26 -0.8 -0.54 -0.68 0.047 -0.72 -0.048 -0.46 1.5 8.2e+03 5.1e-06 0.00075 0.63 +
Considering neighbor 3/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000099
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car Function Relgrad Radius Rho
0 -0.96 1 -0.86 0.36 -0.59 -0.67 -0.35 -0.48 -0.57 8.5e+03 0.05 10 1.1 ++
1 -0.93 1.3 -1.2 0.025 -0.84 -0.73 -0.31 -0.98 -0.39 8.3e+03 0.011 1e+02 1.1 ++
2 -0.86 1.3 -1.3 -0.14 -1 -0.75 -0.32 -1.1 -0.36 8.3e+03 0.0011 1e+03 1.1 ++
3 -0.84 1.3 -1.3 -0.16 -1 -0.75 -0.32 -1.1 -0.36 8.3e+03 1.8e-05 1e+04 1 ++
4 -0.84 1.3 -1.3 -0.16 -1 -0.75 -0.32 -1.1 -0.36 8.3e+03 5.5e-09 1e+04 1 ++
Considering neighbor 4/20 for current solution
Considering neighbor 5/20 for current solution
Attempt 48/100
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000100
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.82 -
1 1.1e+04 0.4 0.25 -0.11 -
2 9.5e+03 3.6 0.25 0.46 +
3 9.5e+03 3.6 0.12 0.46 -
4 9.5e+03 3.6 0.062 0.46 -
5 9.5e+03 3.6 0.031 -3.8 -
6 9.5e+03 3.6 0.016 -2.7 -
7 9.5e+03 3.6 0.0078 -2.1 -
8 9.5e+03 3.6 0.0039 -1.7 -
9 9.5e+03 3.6 0.002 -1.2 -
10 9.5e+03 3.6 0.00098 -0.43 -
11 9.5e+03 2.5 0.00098 0.15 +
12 9.4e+03 1.2 0.0098 1.3 ++
13 9.4e+03 2.7 0.0098 0.84 +
14 9.4e+03 1.6 0.0098 0.78 +
15 9.3e+03 1.1 0.0098 0.9 +
16 9.3e+03 2.1 0.0098 0.73 +
17 9.3e+03 2.1 0.0098 0.75 +
18 9.3e+03 1.8 0.0098 0.79 +
19 9.3e+03 1.2 0.0098 0.85 +
20 9.2e+03 0.7 0.098 0.93 ++
21 9.1e+03 1.6 0.098 0.83 +
22 9e+03 2.4 0.098 0.7 +
23 8.9e+03 1 0.098 0.83 +
24 8.9e+03 0.88 0.98 0.94 ++
25 8.9e+03 0.88 0.49 -0.94 -
26 8.7e+03 1.6 0.49 0.26 +
27 8.7e+03 1.6 0.23 -1.8 -
28 8.7e+03 1.6 0.11 -1.2 -
29 8.7e+03 1.6 0.057 -0.27 -
30 8.6e+03 1.6 0.057 0.52 +
31 8.6e+03 1.2 0.057 0.69 +
32 8.6e+03 3.4 0.057 0.57 +
33 8.6e+03 1.5 0.057 0.41 +
34 8.5e+03 1.3 0.057 0.77 +
35 8.5e+03 1.3 0.029 -0.069 -
36 8.5e+03 0.48 0.029 0.62 +
37 8.5e+03 2.7 0.029 0.71 +
38 8.5e+03 2.7 0.014 -0.28 -
39 8.5e+03 1.1 0.014 0.38 +
40 8.5e+03 1.2 0.014 0.56 +
41 8.5e+03 1.3 0.014 0.85 +
42 8.5e+03 0.57 0.014 0.81 +
43 8.5e+03 0.5 0.14 0.95 ++
44 8.5e+03 3.9 0.14 0.46 +
45 8.5e+03 3.9 0.072 -1.5 -
46 8.5e+03 3.9 0.036 0.045 -
47 8.5e+03 0.24 0.036 0.77 +
48 8.5e+03 0.15 0.036 0.25 +
49 8.5e+03 0.25 0.36 0.98 ++
50 8.5e+03 0.25 0.18 -8.5 -
51 8.5e+03 0.25 0.09 -0.26 -
52 8.5e+03 0.97 0.09 0.55 +
53 8.4e+03 4 0.09 0.6 +
54 8.4e+03 1.2 0.09 0.43 +
55 8.4e+03 2.1 0.09 0.8 +
56 8.4e+03 0.63 0.09 0.87 +
57 8.4e+03 1 0.09 0.68 +
58 8.4e+03 1.6 0.09 0.53 +
59 8.4e+03 0.63 0.09 0.83 +
60 8.4e+03 0.63 0.045 -2.5 -
61 8.4e+03 0.63 0.022 -0.6 -
62 8.4e+03 0.35 0.022 0.43 +
63 8.4e+03 1.4 0.022 0.73 +
64 8.4e+03 1 0.22 0.92 ++
65 8.4e+03 1 0.11 -0.31 -
66 8.4e+03 5.2 0.11 0.27 +
67 8.4e+03 9.8 0.11 0.36 +
68 8.4e+03 3.5 1.1 0.95 ++
69 8.4e+03 3.5 0.56 -27 -
70 8.4e+03 3.5 0.28 -9.5 -
71 8.4e+03 3.5 0.14 -7 -
72 8.4e+03 3.5 0.07 -0.36 -
73 8.4e+03 2.7 0.07 0.72 +
74 8.4e+03 2.7 0.035 -0.96 -
75 8.4e+03 2.7 0.018 -0.6 -
76 8.4e+03 2.7 0.0088 -0.098 -
77 8.4e+03 2.7 0.0044 0.037 -
78 8.4e+03 2.7 0.0022 0.059 -
79 8.4e+03 2.7 0.0011 -0.094 -
80 8.4e+03 2.7 0.00055 -0.3 -
81 8.4e+03 2.7 0.00027 -0.49 -
82 8.4e+03 2.7 0.00014 -0.62 -
83 8.4e+03 2.7 6.8e-05 -0.7 -
84 8.4e+03 2.7 3.4e-05 -0.74 -
85 8.4e+03 2.7 1.7e-05 -0.2 -
86 8.4e+03 0.34 1.7e-05 0.58 +
87 8.4e+03 0.025 0.00017 0.97 ++
88 8.4e+03 0.021 0.0017 1 ++
89 8.4e+03 0.026 0.017 1 ++
90 8.4e+03 0.028 0.017 0.87 +
91 8.4e+03 0.1 0.017 0.6 +
92 8.4e+03 0.44 0.17 0.93 ++
93 8.3e+03 1.6 1.7 0.9 ++
94 8.3e+03 1.6 0.86 -12 -
95 8.3e+03 1.6 0.43 -3 -
96 8.3e+03 2.8 0.43 0.8 +
97 8.3e+03 2.8 0.21 -9 -
98 8.3e+03 2.8 0.11 -3.7 -
99 8.3e+03 2.8 0.054 -2.8 -
100 8.3e+03 2.8 0.027 -3.3 -
101 8.3e+03 2.8 0.013 -2.6 -
102 8.3e+03 2.8 0.0067 -0.27 -
103 8.3e+03 5.3 0.0067 0.39 +
104 8.3e+03 2.7 0.0067 0.79 +
105 8.3e+03 2.7 0.0033 0.061 -
106 8.3e+03 1.7 0.0033 0.36 +
107 8.3e+03 0.11 0.033 0.97 ++
108 8.3e+03 0.11 0.017 0.042 -
109 8.3e+03 0.93 0.017 0.55 +
110 8.3e+03 0.93 0.0084 -0.22 -
111 8.3e+03 0.93 0.0042 -0.33 -
112 8.3e+03 0.11 0.0042 0.37 +
113 8.3e+03 0.89 0.042 0.92 ++
114 8.3e+03 1.7 0.042 0.48 +
115 8.3e+03 2.2 0.042 0.22 +
116 8.3e+03 1.1 0.042 0.64 +
117 8.3e+03 0.59 0.042 0.49 +
118 8.3e+03 0.59 0.021 -0.011 -
119 8.3e+03 0.61 0.021 0.69 +
120 8.3e+03 0.69 0.021 0.56 +
121 8.3e+03 0.69 0.01 -0.029 -
122 8.3e+03 0.091 0.01 0.76 +
123 8.3e+03 0.12 0.01 0.29 +
124 8.3e+03 0.12 0.0052 -0.25 -
125 8.3e+03 0.1 0.0052 0.51 +
126 8.3e+03 0.065 0.0052 0.57 +
127 8.3e+03 0.009 0.052 0.95 ++
128 8.3e+03 0.009 0.026 -0.54 -
129 8.3e+03 0.065 0.026 0.2 +
130 8.3e+03 0.17 0.026 0.67 +
131 8.3e+03 0.13 0.026 0.75 +
132 8.3e+03 0.13 0.013 -1.5 -
133 8.3e+03 0.18 0.013 0.37 +
134 8.3e+03 0.14 0.013 0.28 +
135 8.3e+03 0.25 0.013 0.17 +
136 8.3e+03 0.62 0.013 0.72 +
137 8.3e+03 0.62 0.0065 -0.27 -
138 8.3e+03 0.037 0.0065 0.4 +
139 8.3e+03 0.34 0.0065 0.58 +
140 8.3e+03 0.34 0.0065 0.3 +
141 8.3e+03 0.0077 0.0065 0.35 +
142 8.3e+03 0.075 0.0065 0.34 +
143 8.3e+03 0.16 0.0065 0.77 +
144 8.3e+03 0.16 0.0033 -0.57 -
145 8.3e+03 0.0027 0.0033 0.49 +
146 8.3e+03 0.019 0.0033 0.86 +
147 8.3e+03 0.09 0.0033 0.6 +
148 8.3e+03 0.12 0.0033 0.86 +
149 8.3e+03 0.066 0.0033 0.74 +
150 8.3e+03 0.19 0.0033 0.81 +
151 8.3e+03 0.086 0.0033 0.78 +
152 8.3e+03 0.086 0.0016 -0.46 -
153 8.3e+03 0.019 0.0016 0.58 +
154 8.3e+03 0.045 0.0016 0.77 +
155 8.3e+03 0.046 0.0016 0.44 +
156 8.3e+03 0.033 0.0016 0.17 +
157 8.3e+03 0.033 0.00082 -0.14 -
158 8.3e+03 0.0032 0.00082 0.85 +
159 8.3e+03 0.0053 0.00082 0.75 +
160 8.3e+03 0.0068 0.00082 0.8 +
161 8.3e+03 0.038 0.00082 0.72 +
162 8.3e+03 0.019 0.00082 0.35 +
163 8.3e+03 0.019 0.00041 -0.18 -
164 8.3e+03 0.028 0.00041 0.59 +
165 8.3e+03 0.011 0.00041 0.45 +
166 8.3e+03 0.03 0.00041 0.67 +
167 8.3e+03 0.00058 0.00041 0.26 +
168 8.3e+03 0.015 0.00041 0.58 +
169 8.3e+03 0.015 0.0002 -0.2 -
170 8.3e+03 0.013 0.0002 0.24 +
171 8.3e+03 0.00056 0.002 0.96 ++
172 8.3e+03 0.0083 0.002 0.79 +
173 8.3e+03 0.0083 0.001 -22 -
174 8.3e+03 0.0083 0.00051 -6.9 -
175 8.3e+03 0.0083 0.00026 -1.9 -
176 8.3e+03 0.0083 0.00013 -0.0041 -
177 8.3e+03 0.00021 0.00013 0.78 +
178 8.3e+03 0.00021 6.4e-05 -0.31 -
179 8.3e+03 0.001 6.4e-05 0.44 +
180 8.3e+03 0.0017 6.4e-05 0.25 +
181 8.3e+03 0.00028 6.4e-05 0.48 +
182 8.3e+03 0.00028 3.2e-05 -3.5 -
183 8.3e+03 0.00028 1.6e-05 -0.38 -
184 8.3e+03 0.0003 1.6e-05 0.76 +
185 8.3e+03 0.0003 8e-06 -1.1 -
186 8.3e+03 0.0001 8e-06 0.68 +
187 8.3e+03 0.00015 8e-06 0.17 +
188 8.3e+03 0.00015 4e-06 -2.9 -
189 8.3e+03 0.00015 2e-06 -0.21 -
190 8.3e+03 0.00012 2e-06 0.5 +
191 8.3e+03 4.1e-06 2e-06 0.87 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000101
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 -0.98 0.34 0.28 -0.56 -0.45 -0.72 -0.28 -0.0081 -0.42 8.7e+03 0.039 10 1.1 ++
1 -1.2 0.71 0.67 -0.88 -0.6 -0.83 0.038 -0.11 -0.61 8.5e+03 0.0069 1e+02 1.1 ++
2 -1.4 0.88 0.84 -0.91 -0.64 -0.86 0.053 -0.1 -0.62 8.5e+03 0.0005 1e+03 1 ++
3 -1.4 0.88 0.84 -0.91 -0.64 -0.86 0.053 -0.1 -0.62 8.5e+03 3.4e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 49/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000102
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.98 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.51 -
2 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.019 -
3 -0.12 -0.12 -0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 -0.12 0.12 -0.12 1.9 9.6e+03 0.22 0.12 0.42 +
4 -0.25 0 0 -0.25 -0.25 -0.25 0.25 0.25 0 0 -0.25 0 -0.25 2 9e+03 0.048 0.12 0.62 +
5 -0.25 0.12 0.004 -0.38 -0.25 -0.38 0.12 0.25 -0.12 -0.12 -0.26 -0.12 -0.26 2.1 8.8e+03 0.11 0.12 0.69 +
6 -0.3 0.12 0.0049 -0.5 -0.25 -0.43 0.055 0.24 -0.07 -0.1 -0.26 -0.068 -0.26 2.1 8.8e+03 0.093 0.12 0.42 +
7 -0.27 0.19 0.01 -0.52 -0.25 -0.5 -0.07 0.24 -0.1 -0.14 -0.27 -0.17 -0.25 2.1 8.6e+03 0.038 1.2 0.91 ++
8 -0.27 0.19 0.01 -0.52 -0.25 -0.5 -0.07 0.24 -0.1 -0.14 -0.27 -0.17 -0.25 2.1 8.6e+03 0.038 0.62 -0.14 -
9 -0.39 0.3 0.045 -1.1 -0.25 -0.68 -0.69 0.22 -0.18 -0.13 -0.31 -0.63 -0.22 2.4 8.5e+03 0.11 0.62 0.32 +
10 -0.39 0.3 0.045 -1.1 -0.25 -0.68 -0.69 0.22 -0.18 -0.13 -0.31 -0.63 -0.22 2.4 8.5e+03 0.11 0.31 -2.4 -
11 -0.39 0.3 0.045 -1.1 -0.25 -0.68 -0.69 0.22 -0.18 -0.13 -0.31 -0.63 -0.22 2.4 8.5e+03 0.11 0.16 -0.13 -
12 -0.28 0.39 0.054 -0.96 -0.22 -0.67 -0.85 0.23 -0.2 -0.13 -0.32 -0.63 -0.22 2.3 8.4e+03 0.088 0.16 0.4 +
13 -0.28 0.39 0.054 -0.96 -0.22 -0.67 -0.85 0.23 -0.2 -0.13 -0.32 -0.63 -0.22 2.3 8.4e+03 0.088 0.078 -0.0062 -
14 -0.31 0.36 0.06 -1 -0.22 -0.63 -0.88 0.25 -0.18 -0.089 -0.32 -0.59 -0.21 2.3 8.3e+03 0.063 0.078 0.42 +
15 -0.32 0.34 0.065 -1.1 -0.21 -0.59 -0.85 0.28 -0.24 -0.1 -0.33 -0.67 -0.22 2.3 8.3e+03 0.025 0.078 0.43 +
16 -0.29 0.36 0.074 -1 -0.2 -0.59 -0.93 0.3 -0.24 -0.08 -0.33 -0.64 -0.21 2.3 8.3e+03 0.032 0.078 0.5 +
17 -0.31 0.34 0.091 -1.1 -0.18 -0.53 -0.96 0.38 -0.29 -0.05 -0.35 -0.67 -0.19 2.3 8.3e+03 0.011 0.078 0.68 +
18 -0.31 0.37 0.11 -1.1 -0.15 -0.59 -1 0.45 -0.32 -0.052 -0.37 -0.68 -0.16 2.3 8.3e+03 0.0071 0.078 0.89 +
19 -0.31 0.37 0.11 -1.1 -0.15 -0.59 -1 0.45 -0.32 -0.052 -0.37 -0.68 -0.16 2.3 8.3e+03 0.0071 0.039 0.092 -
20 -0.33 0.37 0.11 -1.1 -0.14 -0.58 -1 0.49 -0.34 -0.056 -0.37 -0.71 -0.13 2.3 8.3e+03 0.016 0.039 0.34 +
21 -0.33 0.38 0.12 -1.1 -0.12 -0.59 -1.1 0.51 -0.34 -0.047 -0.38 -0.7 -0.11 2.3 8.3e+03 0.0065 0.39 0.96 ++
22 -0.43 0.42 0.2 -1.2 0.084 -0.56 -1.3 0.91 -0.46 -0.014 -0.45 -0.8 0.14 2.3 8.2e+03 0.02 0.39 0.73 +
23 -0.43 0.42 0.2 -1.2 0.084 -0.56 -1.3 0.91 -0.46 -0.014 -0.45 -0.8 0.14 2.3 8.2e+03 0.02 0.2 0.039 -
24 -0.46 0.47 0.23 -1.2 0.22 -0.68 -1.3 1.1 -0.46 -0.028 -0.47 -0.77 0.3 2.3 8.2e+03 0.019 0.2 0.25 +
25 -0.52 0.45 0.24 -1.3 0.37 -0.66 -1.3 1.3 -0.48 -0.031 -0.47 -0.8 0.47 2.2 8.2e+03 0.02 0.2 0.44 +
26 -0.52 0.45 0.24 -1.3 0.37 -0.66 -1.3 1.3 -0.48 -0.031 -0.47 -0.8 0.47 2.2 8.2e+03 0.02 0.098 -0.45 -
27 -0.5 0.45 0.25 -1.2 0.38 -0.56 -1.4 1.3 -0.47 -0.00039 -0.47 -0.79 0.49 2.2 8.2e+03 0.015 0.098 0.27 +
28 -0.5 0.47 0.25 -1.3 0.39 -0.63 -1.5 1.4 -0.5 -0.037 -0.46 -0.85 0.51 2.3 8.2e+03 0.0033 0.098 0.54 +
29 -0.5 0.47 0.25 -1.3 0.39 -0.63 -1.5 1.4 -0.5 -0.037 -0.46 -0.85 0.51 2.3 8.2e+03 0.0033 0.049 -6.1 -
30 -0.5 0.47 0.25 -1.3 0.39 -0.63 -1.5 1.4 -0.5 -0.037 -0.46 -0.85 0.51 2.3 8.2e+03 0.0033 0.024 -2.1 -
31 -0.5 0.47 0.25 -1.3 0.39 -0.63 -1.5 1.4 -0.5 -0.037 -0.46 -0.85 0.51 2.3 8.2e+03 0.0033 0.012 -0.35 -
32 -0.51 0.46 0.25 -1.3 0.4 -0.62 -1.4 1.4 -0.5 -0.028 -0.46 -0.86 0.51 2.3 8.2e+03 0.0081 0.012 0.49 +
33 -0.51 0.46 0.25 -1.3 0.4 -0.62 -1.4 1.4 -0.5 -0.028 -0.46 -0.86 0.51 2.3 8.2e+03 0.0081 0.0061 -0.024 -
34 -0.51 0.46 0.25 -1.3 0.4 -0.62 -1.4 1.4 -0.5 -0.028 -0.46 -0.86 0.51 2.3 8.2e+03 0.0081 0.0031 0.073 -
35 -0.5 0.46 0.26 -1.3 0.4 -0.61 -1.4 1.4 -0.5 -0.025 -0.46 -0.86 0.51 2.3 8.2e+03 0.0041 0.0031 0.63 +
36 -0.51 0.46 0.26 -1.3 0.4 -0.62 -1.5 1.4 -0.5 -0.022 -0.45 -0.86 0.52 2.3 8.2e+03 0.0024 0.0031 0.67 +
37 -0.5 0.46 0.26 -1.3 0.41 -0.62 -1.5 1.4 -0.5 -0.022 -0.45 -0.86 0.52 2.3 8.2e+03 0.0043 0.0031 0.13 +
38 -0.5 0.46 0.26 -1.3 0.41 -0.62 -1.5 1.4 -0.5 -0.021 -0.45 -0.86 0.52 2.3 8.2e+03 0.0016 0.031 0.99 ++
39 -0.5 0.45 0.26 -1.3 0.43 -0.61 -1.4 1.4 -0.51 -0.013 -0.45 -0.85 0.55 2.3 8.2e+03 0.0027 0.031 0.86 +
40 -0.5 0.45 0.26 -1.3 0.43 -0.61 -1.4 1.4 -0.51 -0.013 -0.45 -0.85 0.55 2.3 8.2e+03 0.0027 0.015 -0.37 -
41 -0.51 0.45 0.26 -1.3 0.44 -0.62 -1.4 1.4 -0.51 -0.023 -0.45 -0.85 0.56 2.3 8.2e+03 0.0047 0.015 0.19 +
42 -0.51 0.46 0.26 -1.3 0.45 -0.62 -1.4 1.5 -0.51 -0.022 -0.45 -0.85 0.57 2.3 8.2e+03 0.0025 0.015 0.57 +
43 -0.51 0.45 0.26 -1.3 0.46 -0.61 -1.5 1.5 -0.51 -0.012 -0.44 -0.85 0.58 2.3 8.2e+03 0.003 0.015 0.68 +
44 -0.51 0.46 0.26 -1.3 0.47 -0.62 -1.5 1.5 -0.51 -0.022 -0.44 -0.85 0.59 2.3 8.2e+03 0.00094 0.015 0.84 +
45 -0.51 0.45 0.27 -1.3 0.48 -0.61 -1.5 1.5 -0.51 -0.016 -0.44 -0.86 0.6 2.3 8.2e+03 0.0013 0.015 0.89 +
46 -0.52 0.46 0.27 -1.3 0.49 -0.62 -1.5 1.5 -0.51 -0.022 -0.44 -0.86 0.61 2.3 8.2e+03 0.00086 0.015 0.84 +
47 -0.52 0.45 0.27 -1.3 0.5 -0.61 -1.5 1.5 -0.52 -0.014 -0.43 -0.86 0.62 2.3 8.2e+03 0.0015 0.015 0.73 +
48 -0.52 0.46 0.27 -1.3 0.51 -0.62 -1.5 1.5 -0.52 -0.02 -0.43 -0.87 0.63 2.3 8.2e+03 0.00057 0.015 0.9 +
49 -0.52 0.46 0.27 -1.3 0.51 -0.61 -1.5 1.6 -0.52 -0.018 -0.43 -0.86 0.64 2.3 8.2e+03 0.00093 0.015 0.83 +
50 -0.52 0.45 0.28 -1.3 0.52 -0.62 -1.5 1.6 -0.52 -0.016 -0.43 -0.87 0.66 2.3 8.2e+03 0.00068 0.015 0.61 +
51 -0.52 0.45 0.28 -1.3 0.52 -0.62 -1.5 1.6 -0.52 -0.016 -0.43 -0.87 0.66 2.3 8.2e+03 0.00068 0.0076 -1.3 -
52 -0.52 0.46 0.28 -1.3 0.52 -0.61 -1.5 1.6 -0.52 -0.019 -0.42 -0.87 0.66 2.3 8.2e+03 0.0005 0.0076 0.8 +
53 -0.52 0.46 0.28 -1.3 0.53 -0.62 -1.5 1.6 -0.52 -0.017 -0.42 -0.87 0.66 2.3 8.2e+03 0.00066 0.0076 0.77 +
54 -0.52 0.46 0.28 -1.3 0.53 -0.62 -1.5 1.6 -0.52 -0.022 -0.42 -0.87 0.67 2.3 8.2e+03 0.00083 0.0076 0.32 +
55 -0.52 0.46 0.28 -1.3 0.53 -0.62 -1.5 1.6 -0.52 -0.022 -0.42 -0.87 0.67 2.3 8.2e+03 0.00083 0.0038 0.063 -
56 -0.52 0.46 0.28 -1.3 0.53 -0.62 -1.5 1.6 -0.52 -0.018 -0.42 -0.87 0.67 2.3 8.2e+03 0.00041 0.0038 0.8 +
57 -0.52 0.46 0.28 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.42 -0.87 0.67 2.3 8.2e+03 0.00025 0.0038 0.84 +
58 -0.52 0.46 0.28 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.017 -0.42 -0.88 0.67 2.3 8.2e+03 0.00018 0.0038 0.71 +
59 -0.52 0.46 0.28 -1.3 0.54 -0.61 -1.5 1.6 -0.52 -0.019 -0.42 -0.87 0.67 2.3 8.2e+03 0.00032 0.0038 0.73 +
60 -0.52 0.46 0.28 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.019 -0.41 -0.88 0.67 2.3 8.2e+03 0.00031 0.0038 0.3 +
61 -0.52 0.46 0.28 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.019 -0.41 -0.88 0.67 2.3 8.2e+03 0.00031 0.0019 -0.23 -
62 -0.52 0.46 0.28 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.67 2.3 8.2e+03 0.00028 0.0019 0.8 +
63 -0.52 0.46 0.28 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.67 2.3 8.2e+03 0.00028 0.00095 0.055 -
64 -0.52 0.46 0.28 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 0.00024 0.00095 0.45 +
65 -0.52 0.46 0.29 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 9.2e-05 0.0095 0.95 ++
66 -0.52 0.46 0.29 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 9.2e-05 0.0048 -0.61 -
67 -0.52 0.46 0.29 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 9.2e-05 0.0024 -0.18 -
68 -0.52 0.46 0.29 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.017 -0.41 -0.88 0.68 2.3 8.2e+03 0.00046 0.0024 0.45 +
69 -0.52 0.46 0.29 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 0.0001 0.0024 0.86 +
70 -0.52 0.46 0.29 -1.3 0.54 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 0.0001 0.0012 -1.2 -
71 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 0.00025 0.0012 0.4 +
72 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 0.00016 0.0012 0.42 +
73 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 5.2e-05 0.0012 0.8 +
74 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 9.6e-05 0.0012 0.35 +
75 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 3.4e-05 0.012 0.93 ++
76 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 3.4e-05 0.006 -8.7 -
77 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 3.4e-05 0.003 -5.9 -
78 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 3.4e-05 0.0015 -2 -
79 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 3.4e-05 0.00075 -0.27 -
80 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 6.4e-05 0.00075 0.33 +
81 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 4.1e-05 0.00075 0.64 +
82 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 0.0001 0.00075 0.26 +
83 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 6.3e-05 0.00075 0.17 +
84 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 6.3e-05 0.00037 -0.12 -
85 -0.52 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 0.0001 0.00037 0.82 +
86 -0.53 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 2.2e-05 0.00037 0.78 +
87 -0.53 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.41 -0.88 0.68 2.3 8.2e+03 1.3e-05 0.00037 0.88 +
88 -0.53 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 2.8e-05 0.00037 0.8 +
89 -0.53 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 1.4e-05 0.00037 0.84 +
90 -0.53 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 8e-06 0.0037 0.94 ++
91 -0.53 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 8e-06 0.0019 -2 -
92 -0.53 0.46 0.29 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 8e-06 0.00093 -0.26 -
93 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 3.2e-05 0.00093 0.36 +
94 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 3.5e-05 0.00093 0.54 +
95 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 1.2e-05 0.00093 0.69 +
96 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 1.2e-05 0.00047 -2.6 -
97 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.018 -0.4 -0.88 0.68 2.3 8.2e+03 1.2e-05 0.00023 -0.73 -
98 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.017 -0.4 -0.88 0.68 2.3 8.2e+03 8.4e-06 0.00023 0.4 +
99 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.017 -0.4 -0.88 0.68 2.3 8.2e+03 8.4e-06 0.00012 0.0088 -
100 -0.53 0.46 0.3 -1.3 0.55 -0.62 -1.5 1.6 -0.52 -0.017 -0.4 -0.88 0.68 2.3 8.2e+03 4.7e-06 0.00012 0.73 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000103
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train b_cost_train b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -1 -
1 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.61 -
2 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.18 -
3 -0.12 -0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 -0.12 0.12 0.12 1.9 9.8e+03 0.28 0.12 0.27 +
4 -0.079 -0.042 -0.12 -0.099 -0.14 0.25 0.25 8.7e-19 0 -0.13 0 0 1.9 9.5e+03 0.17 0.12 0.41 +
5 -0.14 -0.051 -0.12 -0.22 -0.22 0.22 0.2 0.049 0.008 -0.13 0.051 0.039 1.9 9.3e+03 0.1 0.12 0.63 +
6 -0.12 0.018 -0.12 -0.25 -0.27 0.15 0.093 0.0034 -0.065 -0.14 -0.074 -0.021 1.9 9.1e+03 0.061 1.2 0.94 ++
7 -0.12 0.018 -0.12 -0.25 -0.27 0.15 0.093 0.0034 -0.065 -0.14 -0.074 -0.021 1.9 9.1e+03 0.061 0.62 -0.24 -
8 -0.2 0.25 -0.1 -0.68 -0.65 -0.32 -0.53 0.005 -0.25 -0.17 -0.34 -0.12 2.1 8.9e+03 0.23 0.62 0.21 +
9 -0.2 0.25 -0.1 -0.68 -0.65 -0.32 -0.53 0.005 -0.25 -0.17 -0.34 -0.12 2.1 8.9e+03 0.23 0.31 -0.15 -
10 -0.21 0.3 -0.091 -0.76 -0.75 -0.32 -0.47 -0.15 -0.35 -0.18 -0.65 -0.32 2.1 8.7e+03 0.17 0.31 0.22 +
11 -0.21 0.3 -0.091 -0.76 -0.75 -0.32 -0.47 -0.15 -0.35 -0.18 -0.65 -0.32 2.1 8.7e+03 0.17 0.16 -0.66 -
12 -0.29 0.22 -0.081 -0.92 -0.84 -0.41 -0.44 -0.092 -0.24 -0.19 -0.61 -0.3 2.1 8.6e+03 0.1 0.16 0.31 +
13 -0.17 0.31 -0.072 -0.76 -0.78 -0.56 -0.56 -0.098 -0.22 -0.2 -0.6 -0.29 2.1 8.5e+03 0.068 0.16 0.36 +
14 -0.17 0.31 -0.072 -0.76 -0.78 -0.56 -0.56 -0.098 -0.22 -0.2 -0.6 -0.29 2.1 8.5e+03 0.068 0.078 -0.6 -
15 -0.22 0.27 -0.068 -0.84 -0.82 -0.54 -0.49 -0.11 -0.21 -0.2 -0.63 -0.32 2.1 8.4e+03 0.023 0.078 0.83 +
16 -0.19 0.28 -0.058 -0.82 -0.82 -0.62 -0.49 -0.14 -0.18 -0.21 -0.66 -0.35 2.1 8.4e+03 0.044 0.078 0.33 +
17 -0.2 0.27 -0.049 -0.86 -0.84 -0.7 -0.5 -0.13 -0.14 -0.22 -0.64 -0.34 2.1 8.4e+03 0.047 0.078 0.31 +
18 -0.2 0.27 -0.049 -0.86 -0.84 -0.7 -0.5 -0.13 -0.14 -0.22 -0.64 -0.34 2.1 8.4e+03 0.047 0.039 -0.19 -
19 -0.21 0.27 -0.045 -0.88 -0.85 -0.7 -0.47 -0.16 -0.14 -0.23 -0.68 -0.37 2.1 8.4e+03 0.019 0.039 0.67 +
20 -0.21 0.28 -0.04 -0.88 -0.85 -0.73 -0.49 -0.16 -0.13 -0.23 -0.68 -0.37 2.1 8.4e+03 0.011 0.39 0.92 ++
21 -0.21 0.33 0.033 -1.1 -0.91 -1.1 -0.5 -0.34 -0.059 -0.31 -0.81 -0.54 2.2 8.3e+03 0.057 0.39 0.21 +
22 -0.21 0.33 0.033 -1.1 -0.91 -1.1 -0.5 -0.34 -0.059 -0.31 -0.81 -0.54 2.2 8.3e+03 0.057 0.2 -1.1 -
23 -0.21 0.33 0.033 -1.1 -0.91 -1.1 -0.5 -0.34 -0.059 -0.31 -0.81 -0.54 2.2 8.3e+03 0.057 0.098 -0.6 -
24 -0.21 0.33 0.033 -1.1 -0.91 -1.1 -0.5 -0.34 -0.059 -0.31 -0.81 -0.54 2.2 8.3e+03 0.057 0.049 -0.3 -
25 -0.21 0.33 0.033 -1.1 -0.91 -1.1 -0.5 -0.34 -0.059 -0.31 -0.81 -0.54 2.2 8.3e+03 0.057 0.024 -0.29 -
26 -0.23 0.31 0.034 -1.1 -0.94 -1.1 -0.52 -0.32 -0.035 -0.31 -0.79 -0.51 2.2 8.3e+03 0.021 0.024 0.51 +
27 -0.25 0.31 0.039 -1.1 -0.94 -1.1 -0.51 -0.34 -0.056 -0.31 -0.8 -0.53 2.2 8.3e+03 0.012 0.024 0.54 +
28 -0.25 0.33 0.047 -1.1 -0.92 -1.1 -0.54 -0.36 -0.071 -0.32 -0.79 -0.53 2.1 8.3e+03 0.012 0.024 0.7 +
29 -0.27 0.34 0.057 -1.1 -0.92 -1.1 -0.54 -0.37 -0.074 -0.33 -0.79 -0.53 2.1 8.3e+03 0.0049 0.024 0.74 +
30 -0.28 0.35 0.07 -1.1 -0.92 -1.2 -0.55 -0.38 -0.066 -0.34 -0.79 -0.54 2.1 8.3e+03 0.0031 0.024 0.86 +
31 -0.31 0.36 0.085 -1.1 -0.92 -1.2 -0.54 -0.39 -0.058 -0.36 -0.8 -0.55 2.1 8.3e+03 0.0038 0.024 0.78 +
32 -0.32 0.37 0.099 -1.1 -0.93 -1.2 -0.55 -0.4 -0.055 -0.37 -0.8 -0.55 2 8.3e+03 0.0033 0.024 0.84 +
33 -0.34 0.39 0.11 -1.2 -0.94 -1.2 -0.55 -0.41 -0.055 -0.38 -0.8 -0.56 2 8.3e+03 0.003 0.024 0.84 +
34 -0.35 0.4 0.13 -1.2 -0.95 -1.2 -0.56 -0.42 -0.049 -0.39 -0.81 -0.56 2 8.3e+03 0.0035 0.024 0.84 +
35 -0.36 0.41 0.14 -1.2 -0.96 -1.2 -0.56 -0.43 -0.044 -0.41 -0.82 -0.56 2 8.3e+03 0.0026 0.024 0.83 +
36 -0.37 0.42 0.16 -1.2 -0.97 -1.2 -0.57 -0.43 -0.044 -0.42 -0.82 -0.57 1.9 8.3e+03 0.003 0.024 0.84 +
37 -0.39 0.43 0.17 -1.2 -0.99 -1.2 -0.57 -0.44 -0.043 -0.43 -0.83 -0.57 1.9 8.3e+03 0.002 0.024 0.86 +
38 -0.39 0.44 0.19 -1.2 -1 -1.3 -0.58 -0.44 -0.037 -0.43 -0.83 -0.57 1.9 8.3e+03 0.0021 0.024 0.86 +
39 -0.4 0.45 0.2 -1.2 -1 -1.3 -0.58 -0.45 -0.038 -0.44 -0.84 -0.57 1.9 8.3e+03 0.0012 0.24 0.93 ++
40 -0.4 0.45 0.2 -1.2 -1 -1.3 -0.58 -0.45 -0.038 -0.44 -0.84 -0.57 1.9 8.3e+03 0.0012 0.12 -17 -
41 -0.44 0.51 0.28 -1.2 -1.1 -1.3 -0.62 -0.47 -0.051 -0.48 -0.87 -0.59 1.8 8.3e+03 0.0027 0.12 0.53 +
42 -0.44 0.51 0.28 -1.2 -1.1 -1.3 -0.62 -0.47 -0.051 -0.48 -0.87 -0.59 1.8 8.3e+03 0.0027 0.061 -4 -
43 -0.44 0.51 0.28 -1.2 -1.1 -1.3 -0.62 -0.47 -0.051 -0.48 -0.87 -0.59 1.8 8.3e+03 0.0027 0.031 -1.2 -
44 -0.45 0.49 0.29 -1.2 -1.1 -1.3 -0.61 -0.46 -0.02 -0.48 -0.88 -0.59 1.8 8.3e+03 0.0014 0.031 0.13 +
45 -0.45 0.49 0.29 -1.2 -1.1 -1.3 -0.61 -0.46 -0.02 -0.48 -0.88 -0.59 1.8 8.3e+03 0.0014 0.015 -2.2 -
46 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.48 -0.87 -0.59 1.8 8.3e+03 0.00026 0.015 0.87 +
47 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.48 -0.87 -0.59 1.8 8.3e+03 0.00026 0.0076 -2.1 -
48 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.48 -0.87 -0.59 1.8 8.3e+03 0.00026 0.0038 -0.52 -
49 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.48 -0.87 -0.59 1.8 8.3e+03 0.00026 0.0019 0.092 -
50 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.035 -0.48 -0.87 -0.59 1.8 8.3e+03 0.00078 0.0019 0.68 +
51 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.47 -0.87 -0.59 1.8 8.3e+03 0.00055 0.0019 0.21 +
52 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.47 -0.87 -0.59 1.8 8.3e+03 8.7e-05 0.019 0.92 ++
53 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.47 -0.87 -0.59 1.8 8.3e+03 8.7e-05 0.0095 -3.8 -
54 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.47 -0.87 -0.59 1.8 8.3e+03 8.7e-05 0.0048 -2 -
55 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.47 -0.036 -0.47 -0.87 -0.59 1.8 8.3e+03 8.7e-05 0.0024 -0.28 -
56 -0.44 0.5 0.29 -1.2 -1.1 -1.3 -0.61 -0.46 -0.034 -0.47 -0.87 -0.59 1.8 8.3e+03 0.00058 0.0024 0.19 +
57 -0.44 0.5 0.3 -1.2 -1.1 -1.3 -0.61 -0.46 -0.037 -0.47 -0.87 -0.59 1.8 8.3e+03 0.00016 0.0024 0.74 +
58 -0.44 0.5 0.3 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.47 -0.87 -0.59 1.8 8.3e+03 0.00016 0.0024 0.68 +
59 -0.44 0.5 0.3 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.46 -0.87 -0.59 1.8 8.3e+03 0.00011 0.0024 0.52 +
60 -0.44 0.5 0.3 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.46 -0.87 -0.59 1.8 8.3e+03 7.8e-05 0.0024 0.87 +
61 -0.44 0.5 0.3 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.46 -0.87 -0.59 1.8 8.3e+03 8e-05 0.0024 0.75 +
62 -0.44 0.5 0.3 -1.2 -1.1 -1.3 -0.61 -0.46 -0.036 -0.46 -0.87 -0.59 1.8 8.3e+03 7.8e-05 0.0024 0.84 +
63 -0.44 0.49 0.3 -1.2 -1.1 -1.3 -0.61 -0.46 -0.034 -0.45 -0.87 -0.59 1.8 8.3e+03 8e-05 0.0024 0.51 +
64 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.45 -0.87 -0.59 1.8 8.3e+03 7.6e-05 0.0024 0.57 +
65 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.45 -0.87 -0.59 1.8 8.3e+03 7.6e-05 0.0012 -0.57 -
66 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.45 -0.87 -0.59 1.8 8.3e+03 7.9e-05 0.0012 0.38 +
67 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.45 -0.87 -0.59 1.8 8.3e+03 0.0001 0.0012 0.83 +
68 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.45 -0.87 -0.59 1.8 8.3e+03 4.8e-05 0.0012 0.62 +
69 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.034 -0.45 -0.87 -0.59 1.8 8.3e+03 9e-05 0.0012 0.66 +
70 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.035 -0.45 -0.87 -0.59 1.8 8.3e+03 5.4e-05 0.0012 0.62 +
71 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.034 -0.45 -0.87 -0.59 1.8 8.3e+03 4.4e-05 0.0012 0.53 +
72 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.46 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 3.1e-05 0.0012 0.82 +
73 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.035 -0.44 -0.87 -0.59 1.8 8.3e+03 2.7e-05 0.0012 0.72 +
74 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 2.1e-05 0.0012 0.82 +
75 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 1.1e-05 0.0012 0.78 +
76 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 1.1e-05 0.0006 -0.75 -
77 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 1.7e-05 0.0006 0.25 +
78 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 1.7e-05 0.0003 -2.1 -
79 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 7.4e-06 0.0003 0.59 +
80 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 7.4e-06 0.00015 -1.1 -
81 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 6.8e-06 0.00015 0.62 +
82 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 9.6e-06 0.00015 0.15 +
83 -0.44 0.5 0.31 -1.2 -1.1 -1.3 -0.61 -0.47 -0.034 -0.44 -0.87 -0.59 1.8 8.3e+03 5e-06 0.00015 0.64 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000104
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.31 0.5 -0.7 -
1 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.31 0.25 -0.28 -
2 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.25 0.16 +
3 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.12 0.16 -
4 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.062 0.16 -
5 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.031 0.16 -
6 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.016 0.16 -
7 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.0078 -2.4 -
8 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.0039 -2 -
9 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.002 -1.6 -
10 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.00098 -1.2 -
11 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.00049 -0.73 -
12 -0.25 -0.25 -0.25 -0.25 0 0 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 4 0.00024 -0.16 -
13 -0.25 -0.25 -0.25 -0.25 0.00024 -0.00024 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 3.1 0.00024 0.53 +
14 -0.25 -0.25 -0.25 -0.25 0.00033 -0.00014 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 2 0.00024 0.74 +
15 -0.25 -0.25 -0.25 -0.25 0.00042 -0.00018 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 0.21 0.0024 0.99 ++
16 -0.25 -0.25 -0.25 -0.25 0.0013 -0.00017 -0.25 0.25 0.25 0.25 -0.25 0.25 2 9.9e+03 0.76 0.024 0.99 ++
17 -0.24 -0.24 -0.25 -0.26 0.01 -0.00043 -0.24 0.26 0.22 0.23 -0.25 0.22 2 9.7e+03 5.7 0.024 0.9 +
18 -0.22 -0.22 -0.25 -0.28 0.019 0.00021 -0.24 0.26 0.2 0.21 -0.25 0.2 2 9.6e+03 4.9 0.024 0.73 +
19 -0.21 -0.21 -0.25 -0.29 0.029 -0.00039 -0.24 0.27 0.17 0.19 -0.25 0.18 2 9.4e+03 3.1 0.24 0.98 ++
20 -0.085 -0.056 -0.24 -0.43 0.13 0.00049 -0.2 0.26 -0.071 -0.036 -0.26 -0.055 1.9 9.3e+03 8.5 0.24 0.16 +
21 -0.18 -0.035 -0.24 -0.49 0.18 -0.00092 -0.35 0.018 0.072 -0.02 -0.26 0.082 2 8.7e+03 8.3 2.4 0.93 ++
22 -0.18 -0.035 -0.24 -0.49 0.18 -0.00092 -0.35 0.018 0.072 -0.02 -0.26 0.082 2 8.7e+03 8.3 1.2 -3 -
23 -0.18 -0.035 -0.24 -0.49 0.18 -0.00092 -0.35 0.018 0.072 -0.02 -0.26 0.082 2 8.7e+03 8.3 0.61 -1.4 -
24 -0.18 -0.035 -0.24 -0.49 0.18 -0.00092 -0.35 0.018 0.072 -0.02 -0.26 0.082 2 8.7e+03 8.3 0.31 -0.52 -
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142 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.0042 0.00054 -1.7 -
143 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.024 0.00054 0.47 +
144 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.024 0.00027 -1.5 -
145 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.0044 0.00027 0.59 +
146 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.0044 0.00014 -0.26 -
147 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.0095 0.00014 0.5 +
148 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00092 0.00014 0.81 +
149 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00092 6.8e-05 -0.94 -
150 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.0021 6.8e-05 0.39 +
151 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00099 6.8e-05 0.72 +
152 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 2.6e-05 6.8e-05 0.39 +
153 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 2.6e-05 3.4e-05 -1 -
154 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00089 3.4e-05 0.58 +
155 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00089 1.7e-05 0.062 -
156 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00048 1.7e-05 0.72 +
157 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 6.2e-05 0.00017 0.95 ++
158 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 6.2e-05 8.5e-05 0.079 -
159 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00054 8.5e-05 0.54 +
160 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00054 4.2e-05 -3.8 -
161 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 0.00054 2.1e-05 -0.77 -
162 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 2.6e-05 2.1e-05 0.71 +
163 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 2.6e-05 1.1e-05 -0.4 -
164 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 7.1e-05 1.1e-05 0.54 +
165 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 3.2e-05 1.1e-05 0.51 +
166 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 5.5e-05 0.00011 0.93 ++
167 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 5.5e-05 5.3e-05 -3.3 -
168 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 5.5e-05 2.6e-05 -1.2 -
169 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 5.5e-05 1.3e-05 0.0098 -
170 -0.19 0.49 0.26 -2 -0.11 0.0002 -1.2 -0.66 -0.16 -0.063 -0.47 -0.25 1.7 8.2e+03 4.1e-06 1.3e-05 0.58 -
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 50/100
Considering neighbor 0/20 for current solution
Attempt 51/100
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000105
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train lambda_travel_t b_cost b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -1.1 -
1 0 0 0 0 1 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.25 -0.45 -
2 -0.25 -0.25 -0.25 -0.25 1 -0.25 -0.25 0.25 0.25 -0.25 0.25 2 1e+04 0.22 0.25 0.13 +
3 -0.11 0 -0.25 -0.26 0.88 -0.35 -0.33 0 0 -0.26 0 2 9.4e+03 0.16 2.5 0.99 ++
4 -0.11 0 -0.25 -0.26 0.88 -0.35 -0.33 0 0 -0.26 0 2 9.4e+03 0.16 1.2 -0.73 -
5 -0.11 0 -0.25 -0.26 0.88 -0.35 -0.33 0 0 -0.26 0 2 9.4e+03 0.16 0.62 -0.15 -
6 -0.74 -0.23 -0.25 -0.79 0.89 -0.41 -0.47 -0.024 -0.12 -0.27 -0.28 2.1 8.9e+03 0.11 0.62 0.29 +
7 -0.74 -0.23 -0.25 -0.79 0.89 -0.41 -0.47 -0.024 -0.12 -0.27 -0.28 2.1 8.9e+03 0.11 0.31 -0.46 -
8 -0.54 0.0072 -0.24 -0.8 0.87 -0.51 -0.52 -0.34 -0.36 -0.28 -0.46 2 8.7e+03 0.12 0.31 0.34 +
9 -0.55 0.21 -0.2 -1 0.87 -0.8 -0.68 -0.024 -0.17 -0.31 -0.46 2 8.5e+03 0.032 0.31 0.53 +
10 -0.7 0.22 -0.16 -1.2 0.83 -0.49 -0.96 -0.15 -0.12 -0.35 -0.75 2.1 8.4e+03 0.047 0.31 0.16 +
11 -0.7 0.22 -0.16 -1.2 0.83 -0.49 -0.96 -0.15 -0.12 -0.35 -0.75 2.1 8.4e+03 0.047 0.16 -1.1 -
12 -0.7 0.22 -0.16 -1.2 0.83 -0.49 -0.96 -0.15 -0.12 -0.35 -0.75 2.1 8.4e+03 0.047 0.078 -0.29 -
13 -0.62 0.29 -0.083 -1.1 0.75 -0.56 -1 -0.22 -0.2 -0.42 -0.67 2 8.4e+03 0.061 0.078 0.12 +
14 -0.69 0.26 -0.075 -1.2 0.74 -0.62 -1 -0.15 -0.12 -0.43 -0.61 2 8.4e+03 0.037 0.078 0.57 +
15 -0.61 0.33 -0.069 -1.2 0.72 -0.63 -1 -0.16 -0.13 -0.43 -0.64 2 8.3e+03 0.026 0.078 0.84 +
16 -0.63 0.33 -0.06 -1.2 0.71 -0.64 -1 -0.085 -0.052 -0.43 -0.65 2.1 8.3e+03 0.026 0.078 0.35 +
17 -0.55 0.41 -0.047 -1.2 0.68 -0.64 -1 -0.092 -0.05 -0.44 -0.69 2.1 8.3e+03 0.013 0.078 0.71 +
18 -0.56 0.42 -0.023 -1.3 0.63 -0.6 -1.1 -0.061 -0.013 -0.45 -0.76 2.1 8.3e+03 0.01 0.078 0.82 +
19 -0.5 0.48 0.008 -1.4 0.55 -0.6 -1.2 -0.074 -0.015 -0.46 -0.82 2.2 8.3e+03 0.017 0.078 0.64 +
20 -0.49 0.48 0.037 -1.5 0.48 -0.62 -1.2 -0.023 0.026 -0.48 -0.84 2.3 8.3e+03 0.0096 0.078 0.69 +
21 -0.45 0.48 0.069 -1.5 0.4 -0.59 -1.3 -0.045 0.02 -0.49 -0.9 2.3 8.3e+03 0.0079 0.078 0.71 +
22 -0.37 0.51 0.1 -1.6 0.33 -0.63 -1.3 0.023 0.039 -0.5 -0.93 2.3 8.3e+03 0.008 0.078 0.31 +
23 -0.39 0.47 0.13 -1.7 0.27 -0.58 -1.3 -0.009 0.0041 -0.5 -0.98 2.4 8.3e+03 0.0085 0.078 0.66 +
24 -0.31 0.46 0.16 -1.8 0.2 -0.62 -1.3 0.063 0.02 -0.5 -1 2.4 8.2e+03 0.0058 0.078 0.53 +
25 -0.31 0.46 0.16 -1.8 0.2 -0.62 -1.3 0.063 0.02 -0.5 -1 2.4 8.2e+03 0.0058 0.039 -0.016 -
26 -0.31 0.46 0.16 -1.8 0.2 -0.58 -1.3 0.051 -0.0029 -0.5 -1 2.4 8.2e+03 0.0031 0.039 0.53 +
27 -0.3 0.45 0.17 -1.8 0.18 -0.62 -1.4 0.063 -0.014 -0.49 -1.1 2.4 8.2e+03 0.0033 0.039 0.28 +
28 -0.3 0.45 0.17 -1.8 0.18 -0.62 -1.4 0.063 -0.014 -0.49 -1.1 2.4 8.2e+03 0.0033 0.02 -0.81 -
29 -0.29 0.46 0.17 -1.8 0.19 -0.6 -1.4 0.075 -0.005 -0.49 -1.1 2.4 8.2e+03 0.0017 0.02 0.58 +
30 -0.29 0.46 0.17 -1.8 0.19 -0.6 -1.4 0.075 -0.005 -0.49 -1.1 2.4 8.2e+03 0.0017 0.0098 -0.94 -
31 -0.29 0.45 0.18 -1.8 0.19 -0.6 -1.4 0.068 -0.0086 -0.48 -1.1 2.3 8.2e+03 0.00086 0.0098 0.45 +
32 -0.29 0.45 0.18 -1.8 0.19 -0.6 -1.4 0.068 -0.0086 -0.48 -1.1 2.3 8.2e+03 0.00086 0.0049 -0.22 -
33 -0.29 0.45 0.18 -1.8 0.19 -0.6 -1.4 0.073 -0.0073 -0.48 -1.1 2.3 8.2e+03 0.00057 0.0049 0.88 +
34 -0.29 0.45 0.18 -1.8 0.19 -0.6 -1.4 0.073 -0.0073 -0.48 -1.1 2.3 8.2e+03 0.00057 0.0024 -0.89 -
35 -0.29 0.45 0.18 -1.8 0.19 -0.6 -1.4 0.073 -0.0073 -0.48 -1.1 2.3 8.2e+03 0.00057 0.0012 -0.87 -
36 -0.29 0.45 0.18 -1.8 0.18 -0.6 -1.4 0.072 -0.0085 -0.48 -1.1 2.3 8.2e+03 0.0012 0.0012 0.28 +
37 -0.29 0.45 0.18 -1.8 0.18 -0.6 -1.4 0.073 -0.0079 -0.48 -1.1 2.3 8.2e+03 0.00057 0.012 0.94 ++
38 -0.29 0.45 0.18 -1.8 0.18 -0.61 -1.4 0.073 -0.012 -0.48 -1.1 2.3 8.2e+03 0.00095 0.012 0.82 +
39 -0.28 0.46 0.19 -1.9 0.18 -0.61 -1.4 0.083 -0.0093 -0.47 -1.1 2.3 8.2e+03 0.0015 0.012 0.3 +
40 -0.28 0.45 0.19 -1.9 0.18 -0.6 -1.4 0.081 -0.011 -0.47 -1.1 2.3 8.2e+03 0.0009 0.012 0.57 +
41 -0.28 0.45 0.19 -1.9 0.18 -0.62 -1.4 0.08 -0.015 -0.47 -1.1 2.3 8.2e+03 0.00062 0.012 0.4 +
42 -0.28 0.45 0.19 -1.9 0.18 -0.62 -1.4 0.08 -0.015 -0.47 -1.1 2.3 8.2e+03 0.00062 0.0061 0.022 -
43 -0.28 0.46 0.19 -1.9 0.18 -0.61 -1.4 0.081 -0.013 -0.47 -1.1 2.3 8.2e+03 0.00029 0.0061 0.81 +
44 -0.28 0.46 0.19 -1.9 0.18 -0.61 -1.4 0.081 -0.013 -0.47 -1.1 2.3 8.2e+03 0.00029 0.0031 -0.86 -
45 -0.28 0.46 0.2 -1.9 0.18 -0.61 -1.4 0.083 -0.012 -0.46 -1.1 2.3 8.2e+03 0.00061 0.0031 0.32 +
46 -0.28 0.46 0.2 -1.9 0.18 -0.61 -1.4 0.081 -0.013 -0.46 -1.1 2.3 8.2e+03 0.00029 0.0031 0.76 +
47 -0.28 0.46 0.2 -1.9 0.18 -0.61 -1.4 0.084 -0.013 -0.46 -1.1 2.3 8.2e+03 0.00024 0.0031 0.69 +
48 -0.28 0.46 0.2 -1.9 0.18 -0.61 -1.4 0.083 -0.013 -0.46 -1.1 2.3 8.2e+03 0.0003 0.031 0.92 ++
49 -0.28 0.46 0.22 -1.9 0.17 -0.61 -1.4 0.089 -0.011 -0.44 -1.1 2.3 8.2e+03 0.00077 0.031 0.41 +
50 -0.28 0.46 0.22 -1.9 0.17 -0.61 -1.4 0.089 -0.011 -0.44 -1.1 2.3 8.2e+03 0.00077 0.015 -6.7 -
51 -0.28 0.46 0.22 -1.9 0.17 -0.61 -1.4 0.089 -0.011 -0.44 -1.1 2.3 8.2e+03 0.00077 0.0076 -2 -
52 -0.28 0.46 0.22 -1.9 0.17 -0.61 -1.4 0.089 -0.011 -0.44 -1.1 2.3 8.2e+03 0.00077 0.0038 -0.027 -
53 -0.28 0.46 0.22 -1.9 0.17 -0.62 -1.4 0.086 -0.014 -0.44 -1.1 2.3 8.2e+03 0.00022 0.0038 0.61 +
54 -0.28 0.46 0.22 -1.9 0.17 -0.62 -1.4 0.086 -0.014 -0.44 -1.1 2.3 8.2e+03 0.00022 0.0019 -1.8 -
55 -0.28 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.087 -0.013 -0.44 -1.1 2.3 8.2e+03 0.00024 0.0019 0.33 +
56 -0.28 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.087 -0.013 -0.44 -1.1 2.3 8.2e+03 0.00024 0.00095 -0.043 -
57 -0.28 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.087 -0.013 -0.44 -1.1 2.3 8.2e+03 0.00017 0.00095 0.75 +
58 -0.28 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.087 -0.013 -0.44 -1.1 2.3 8.2e+03 0.00017 0.00095 0.28 +
59 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.44 -1.1 2.3 8.2e+03 0.00011 0.00095 0.33 +
60 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.44 -1.1 2.3 8.2e+03 7.9e-05 0.00095 0.65 +
61 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.44 -1.1 2.3 8.2e+03 0.00011 0.00095 0.47 +
62 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.44 -1.1 2.3 8.2e+03 7.8e-05 0.00095 0.7 +
63 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.44 -1.1 2.3 8.2e+03 5.8e-05 0.00095 0.47 +
64 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.44 -1.1 2.3 8.2e+03 6.5e-05 0.00095 0.67 +
65 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.44 -1.1 2.3 8.2e+03 4.3e-05 0.00095 0.59 +
66 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 6.8e-05 0.00095 0.48 +
67 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.43 -1.1 2.3 8.2e+03 0.00011 0.00095 0.32 +
68 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.013 -0.43 -1.1 2.3 8.2e+03 0.00011 0.00048 -0.35 -
69 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 6.6e-05 0.00048 0.69 +
70 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 1.9e-05 0.0048 0.91 ++
71 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 1.9e-05 0.0024 -2 -
72 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 1.9e-05 0.0012 -1.2 -
73 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 1.9e-05 0.0006 0.057 -
74 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 2.9e-05 0.0006 0.62 +
75 -0.29 0.47 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 3e-05 0.0006 0.64 +
76 -0.29 0.47 0.23 -1.9 0.17 -0.62 -1.4 0.086 -0.012 -0.43 -1.1 2.3 8.2e+03 3e-05 0.0003 -0.032 -
77 -0.29 0.46 0.23 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.7e-05 0.0003 0.56 +
78 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.5e-05 0.0003 0.72 +
79 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.6e-05 0.0003 0.7 +
80 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 2e-05 0.0003 0.79 +
81 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.8e-05 0.0003 0.57 +
82 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.9e-05 0.0003 0.71 +
83 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1e-05 0.0003 0.65 +
84 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.3e-05 0.0003 0.64 +
85 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 2.1e-05 0.0003 0.69 +
86 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.1e-05 0.0003 0.77 +
87 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 1.6e-05 0.0003 0.67 +
88 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 9e-06 0.0003 0.81 +
89 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 6.8e-06 0.0003 0.8 +
90 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 8e-06 0.0003 0.81 +
91 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 8e-06 0.00015 0.063 -
92 -0.29 0.47 0.24 -1.9 0.17 -0.62 -1.4 0.085 -0.012 -0.43 -1.1 2.3 8.2e+03 4.1e-06 0.00015 0.59 -
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 52/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000106
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.49 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 0.5 -0.5 -0.5 1.5 1e+04 0.22 0.5 0.2 +
2 -0.28 -0.33 -0.4 -0.48 -0.44 0 0.58 -0.56 -0.37 1.2 9.2e+03 0.094 0.5 0.69 +
3 -0.22 -0.037 -0.85 -0.49 -0.61 0.021 0.19 -0.7 -0.65 1 9e+03 0.12 0.5 0.23 +
4 -0.22 -0.037 -0.85 -0.49 -0.61 0.021 0.19 -0.7 -0.65 1 9e+03 0.12 0.25 -0.019 -
5 -0.3 0.016 -0.83 -0.48 -0.71 -0.23 0.41 -0.72 -0.4 1.2 8.7e+03 0.051 0.25 0.84 +
6 -0.31 0.26 -1.1 -0.47 -0.87 -0.27 0.16 -0.82 -0.53 1.2 8.5e+03 0.079 0.25 0.5 +
7 -0.19 0.41 -1 -0.45 -0.86 -0.52 0.11 -0.87 -0.5 1.1 8.4e+03 0.034 0.25 0.38 +
8 -0.35 0.62 -1.2 -0.42 -1.1 -0.63 0.066 -0.95 -0.4 1.3 8.4e+03 0.047 0.25 0.21 +
9 -0.35 0.62 -1.2 -0.42 -1.1 -0.63 0.066 -0.95 -0.4 1.3 8.4e+03 0.047 0.12 -0.12 -
10 -0.23 0.68 -1.2 -0.41 -1 -0.56 -0.059 -0.97 -0.53 1.2 8.3e+03 0.025 0.12 0.52 +
11 -0.27 0.72 -1.2 -0.39 -1 -0.68 -0.058 -0.99 -0.47 1.3 8.3e+03 0.027 0.12 0.34 +
12 -0.27 0.72 -1.2 -0.39 -1 -0.68 -0.058 -0.99 -0.47 1.3 8.3e+03 0.027 0.062 -0.34 -
13 -0.33 0.73 -1.2 -0.39 -1.1 -0.63 -0.11 -1 -0.5 1.3 8.3e+03 0.025 0.062 0.31 +
14 -0.32 0.77 -1.2 -0.37 -1.1 -0.69 -0.17 -1 -0.51 1.3 8.3e+03 0.0084 0.062 0.74 +
15 -0.32 0.77 -1.2 -0.37 -1.1 -0.69 -0.17 -1 -0.51 1.3 8.3e+03 0.0084 0.031 -0.34 -
16 -0.35 0.8 -1.2 -0.34 -1.1 -0.72 -0.17 -1 -0.47 1.3 8.3e+03 0.011 0.031 0.44 +
17 -0.35 0.81 -1.2 -0.33 -1.1 -0.7 -0.2 -1.1 -0.51 1.3 8.3e+03 0.011 0.031 0.39 +
18 -0.36 0.82 -1.2 -0.33 -1.1 -0.73 -0.2 -1.1 -0.49 1.3 8.3e+03 0.0061 0.031 0.69 +
19 -0.39 0.83 -1.2 -0.32 -1.1 -0.73 -0.23 -1.1 -0.49 1.3 8.3e+03 0.0062 0.031 0.63 +
20 -0.39 0.85 -1.2 -0.31 -1.1 -0.75 -0.26 -1.1 -0.49 1.3 8.3e+03 0.0044 0.031 0.77 +
21 -0.42 0.86 -1.1 -0.3 -1.1 -0.75 -0.28 -1.1 -0.47 1.3 8.3e+03 0.003 0.031 0.71 +
22 -0.43 0.89 -1.1 -0.29 -1.1 -0.76 -0.31 -1.1 -0.47 1.3 8.3e+03 0.0036 0.031 0.68 +
23 -0.46 0.9 -1.1 -0.28 -1.1 -0.77 -0.33 -1.1 -0.45 1.3 8.3e+03 0.0024 0.031 0.64 +
24 -0.46 0.9 -1.1 -0.28 -1.1 -0.77 -0.33 -1.1 -0.45 1.3 8.3e+03 0.0024 0.016 -0.11 -
25 -0.46 0.91 -1.1 -0.27 -1.1 -0.77 -0.35 -1.1 -0.46 1.3 8.3e+03 0.0023 0.016 0.55 +
26 -0.47 0.92 -1.1 -0.26 -1.1 -0.78 -0.36 -1.1 -0.44 1.3 8.3e+03 0.0032 0.016 0.61 +
27 -0.49 0.93 -1.1 -0.26 -1.1 -0.77 -0.36 -1.1 -0.43 1.3 8.3e+03 0.0019 0.016 0.51 +
28 -0.49 0.95 -1.1 -0.25 -1.1 -0.77 -0.38 -1.1 -0.43 1.3 8.3e+03 0.0013 0.016 0.72 +
29 -0.51 0.96 -1.1 -0.24 -1 -0.76 -0.37 -1.1 -0.41 1.3 8.3e+03 0.0014 0.016 0.8 +
30 -0.52 0.97 -1.1 -0.24 -1 -0.76 -0.37 -1.1 -0.41 1.3 8.3e+03 0.001 0.016 0.81 +
31 -0.53 0.98 -1.2 -0.23 -1 -0.76 -0.37 -1.2 -0.4 1.3 8.3e+03 0.00035 0.016 0.9 +
32 -0.54 1 -1.2 -0.23 -1 -0.76 -0.37 -1.2 -0.4 1.3 8.3e+03 0.0018 0.016 0.44 +
33 -0.56 1 -1.2 -0.23 -1 -0.76 -0.36 -1.2 -0.4 1.3 8.3e+03 0.00046 0.016 0.82 +
34 -0.56 1 -1.2 -0.23 -1 -0.76 -0.36 -1.2 -0.4 1.3 8.3e+03 0.00046 0.0078 -0.69 -
35 -0.56 1 -1.2 -0.23 -1 -0.76 -0.36 -1.2 -0.4 1.3 8.3e+03 0.00046 0.0039 0.016 -
36 -0.56 1 -1.2 -0.23 -1 -0.76 -0.37 -1.2 -0.4 1.2 8.3e+03 0.00051 0.0039 0.58 +
37 -0.56 1 -1.2 -0.23 -1 -0.76 -0.36 -1.2 -0.4 1.2 8.3e+03 0.00062 0.0039 0.62 +
38 -0.56 1 -1.2 -0.23 -1 -0.76 -0.36 -1.2 -0.4 1.2 8.3e+03 0.00045 0.0039 0.83 +
39 -0.57 1 -1.2 -0.23 -1 -0.76 -0.36 -1.2 -0.4 1.2 8.3e+03 0.0003 0.0039 0.86 +
40 -0.57 1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.4 1.2 8.3e+03 0.00036 0.0039 0.85 +
41 -0.57 1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.4 1.2 8.3e+03 0.00024 0.039 0.99 ++
42 -0.57 1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.4 1.2 8.3e+03 0.00024 0.02 -0.23 -
43 -0.59 1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00074 0.02 0.39 +
44 -0.59 1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00074 0.0098 -0.81 -
45 -0.59 1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00074 0.0049 -0.59 -
46 -0.59 1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00048 0.0049 0.77 +
47 -0.59 1.1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.049 1 ++
48 -0.59 1.1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.024 -2.3 -
49 -0.59 1.1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.012 -0.92 -
50 -0.59 1.1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.0061 -0.41 -
51 -0.59 1.1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.0031 -0.43 -
52 -0.6 1.1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00015 0.0031 0.69 +
53 -0.6 1.1 -1.2 -0.22 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 6.7e-05 0.031 1 ++
54 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.0006 0.031 0.15 +
55 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.0006 0.015 -9 -
56 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.0006 0.0076 -4.4 -
57 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.0006 0.0038 -1.3 -
58 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.0006 0.0019 -0.0075 -
59 -0.63 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00022 0.0019 0.58 +
60 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.0019 0.55 +
61 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.00095 -1.4 -
62 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00019 0.00048 0.065 -
63 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 8.6e-05 0.00048 0.65 +
64 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 3.9e-05 0.0048 0.91 ++
65 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00015 0.0048 0.25 +
66 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00015 0.0024 -3.1 -
67 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 0.00015 0.0012 -0.2 -
68 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 7.5e-05 0.0012 0.48 +
69 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 7.7e-05 0.0012 0.15 +
70 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 2.2e-05 0.0012 0.73 +
71 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 2.2e-05 0.0006 -0.93 -
72 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 2.8e-05 0.0006 0.46 +
73 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 1.3e-05 0.0006 0.66 +
74 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 1.3e-05 0.0003 -0.63 -
75 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 1.3e-05 0.00015 -0.37 -
76 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 1.3e-05 0.00015 0.45 +
77 -0.62 1.1 -1.2 -0.21 -1 -0.76 -0.36 -1.2 -0.39 1.2 8.3e+03 5e-06 0.00015 0.91 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000107
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -1.1 -
1 1.1e+04 0.4 0.25 -0.33 -
2 9.8e+03 0.18 0.25 0.32 +
3 9.8e+03 0.18 0.12 -0.28 -
4 9.4e+03 0.07 0.12 0.67 +
5 9.2e+03 0.09 0.12 0.76 +
6 9.1e+03 0.055 0.12 0.84 +
7 9e+03 0.063 0.12 0.83 +
8 8.9e+03 0.055 0.12 0.83 +
9 8.8e+03 0.047 0.12 0.85 +
10 8.7e+03 0.046 0.12 0.81 +
11 8.6e+03 0.045 0.12 0.77 +
12 8.6e+03 0.047 0.12 0.57 +
13 8.5e+03 0.038 0.12 0.52 +
14 8.5e+03 0.038 0.062 -0.098 -
15 8.5e+03 0.026 0.062 0.63 +
16 8.4e+03 0.018 0.62 0.92 ++
17 8.4e+03 0.018 0.31 -1.6 -
18 8.4e+03 0.018 0.16 -0.47 -
19 8.4e+03 0.059 0.16 0.21 +
20 8.4e+03 0.059 0.078 -0.19 -
21 8.4e+03 0.036 0.078 0.58 +
22 8.4e+03 0.036 0.039 -0.084 -
23 8.4e+03 0.02 0.039 0.42 +
24 8.4e+03 0.0079 0.39 0.99 ++
25 8.3e+03 0.05 0.39 0.19 +
26 8.3e+03 0.05 0.2 -3.2 -
27 8.3e+03 0.05 0.098 -2.2 -
28 8.3e+03 0.05 0.049 -0.27 -
29 8.3e+03 0.036 0.049 0.28 +
30 8.3e+03 0.0031 0.49 0.93 ++
31 8.3e+03 0.0031 0.24 -1.2 -
32 8.3e+03 0.0031 0.12 -0.015 -
33 8.3e+03 0.021 0.12 0.42 +
34 8.3e+03 0.021 0.061 -1.1 -
35 8.3e+03 0.021 0.031 -0.99 -
36 8.3e+03 0.021 0.015 0.042 -
37 8.3e+03 0.0083 0.015 0.51 +
38 8.3e+03 0.0044 0.015 0.81 +
39 8.3e+03 0.0044 0.0076 -0.01 -
40 8.3e+03 0.0071 0.0076 0.36 +
41 8.3e+03 0.0051 0.076 0.93 ++
42 8.3e+03 0.013 0.076 0.72 +
43 8.3e+03 0.0086 0.076 0.61 +
44 8.3e+03 0.0052 0.076 0.63 +
45 8.3e+03 0.0086 0.076 0.51 +
46 8.3e+03 0.0086 0.038 -2.9 -
47 8.3e+03 0.0086 0.019 -1 -
48 8.3e+03 0.0086 0.0095 -0.63 -
49 8.3e+03 0.0087 0.0095 0.37 +
50 8.3e+03 0.0067 0.095 0.97 ++
51 8.3e+03 0.0067 0.048 -0.96 -
52 8.3e+03 0.013 0.048 0.24 +
53 8.3e+03 0.0083 0.048 0.65 +
54 8.3e+03 0.011 0.048 0.84 +
55 8.3e+03 0.0042 0.48 0.95 ++
56 8.2e+03 0.01 0.48 0.83 +
57 8.2e+03 0.0033 4.8 1 ++
58 8.2e+03 0.0033 2.4 -11 -
59 8.2e+03 0.0033 1.2 -5.4 -
60 8.2e+03 0.0033 0.6 -2.6 -
61 8.2e+03 0.0033 0.3 -1.2 -
62 8.2e+03 0.0033 0.15 -0.59 -
63 8.2e+03 0.0033 0.075 -0.2 -
64 8.2e+03 0.0054 0.075 0.46 +
65 8.2e+03 0.0048 0.075 0.61 +
66 8.2e+03 0.0018 0.075 0.68 +
67 8.2e+03 0.0049 0.075 0.34 +
68 8.2e+03 0.0015 0.075 0.35 +
69 8.2e+03 0.0015 0.037 -1.6 -
70 8.2e+03 0.0014 0.037 0.31 +
71 8.2e+03 0.0014 0.019 -1.8 -
72 8.2e+03 0.002 0.019 0.62 +
73 8.2e+03 0.002 0.0093 -0.52 -
74 8.2e+03 0.0005 0.0093 0.4 +
75 8.2e+03 0.0005 0.0047 -0.081 -
76 8.2e+03 0.00015 0.0047 0.84 +
77 8.2e+03 0.00038 0.0047 0.61 +
78 8.2e+03 0.00038 0.0023 -0.29 -
79 8.2e+03 0.00029 0.0023 0.35 +
80 8.2e+03 7.7e-05 0.0023 0.86 +
81 8.2e+03 0.00013 0.0023 0.7 +
82 8.2e+03 7.7e-05 0.0023 0.67 +
83 8.2e+03 6e-05 0.0023 0.65 +
84 8.2e+03 6.9e-05 0.0023 0.52 +
85 8.2e+03 6.9e-05 0.0012 0.029 -
86 8.2e+03 1.8e-05 0.0012 0.83 +
87 8.2e+03 3.3e-05 0.0012 0.6 +
88 8.2e+03 3.4e-05 0.0012 0.77 +
89 8.2e+03 3.4e-05 0.00058 -0.18 -
90 8.2e+03 3.7e-05 0.00058 0.4 +
91 8.2e+03 2.3e-05 0.00058 0.48 +
92 8.2e+03 2.5e-05 0.00058 0.33 +
93 8.2e+03 2.5e-05 0.00029 -0.064 -
94 8.2e+03 2e-05 0.00029 0.74 +
95 8.2e+03 1.5e-05 0.00029 0.31 +
96 8.2e+03 1.2e-05 0.00029 0.61 +
97 8.2e+03 1e-05 0.00029 0.58 +
98 8.2e+03 7e-06 0.00029 0.59 +
99 8.2e+03 3.3e-06 0.00029 0.81 +
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000108
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.63 -
1 1.1e+04 0.4 0.25 0.088 -
2 9.3e+03 4.4 0.25 0.6 +
3 9.3e+03 4.4 0.12 0.6 -
4 9.3e+03 4.4 0.062 0.6 -
5 9.3e+03 4.4 0.031 0.6 -
6 9.3e+03 4.4 0.016 0.6 -
7 9.3e+03 4.4 0.0078 -3.5 -
8 9.3e+03 4.4 0.0039 -3 -
9 9.3e+03 4.4 0.002 -2.3 -
10 9.3e+03 4.4 0.00098 -1.4 -
11 9.3e+03 4.4 0.00049 -0.56 -
12 9.3e+03 4.4 0.00049 0.23 +
13 9.3e+03 2.4 0.0049 1.1 ++
14 9.3e+03 2.3 0.0049 0.84 +
15 9.3e+03 0.25 0.049 0.98 ++
16 9.2e+03 2.9 0.049 0.85 +
17 9.2e+03 4.1 0.049 0.87 +
18 9.1e+03 0.13 0.49 1 ++
19 8.7e+03 4.7 0.49 0.62 +
20 8.7e+03 4.7 0.24 -0.94 -
21 8.7e+03 4.7 0.12 -0.78 -
22 8.7e+03 4.7 0.061 -0.13 -
23 8.6e+03 6.5 0.061 0.47 +
24 8.6e+03 5 0.061 0.58 +
25 8.6e+03 2.9 0.061 0.49 +
26 8.6e+03 4.9 0.061 0.33 +
27 8.6e+03 4.9 0.031 -0.32 -
28 8.6e+03 6 0.031 0.71 +
29 8.6e+03 3.8 0.031 0.53 +
30 8.5e+03 3 0.031 0.85 +
31 8.5e+03 5 0.031 0.69 +
32 8.5e+03 2.4 0.031 0.78 +
33 8.5e+03 1.6 0.031 0.85 +
34 8.5e+03 0.54 0.031 0.67 +
35 8.5e+03 3.1 0.031 0.8 +
36 8.5e+03 0.67 0.031 0.67 +
37 8.5e+03 0.22 0.31 0.9 ++
38 8.5e+03 1.5 0.31 0.36 +
39 8.4e+03 2.8 0.31 0.5 +
40 8.4e+03 2.8 0.15 -1.1 -
41 8.4e+03 0.91 0.15 0.18 +
42 8.4e+03 1.9 0.15 0.88 +
43 8.4e+03 1.9 0.076 -1.4 -
44 8.4e+03 1.9 0.038 -0.23 -
45 8.4e+03 0.78 0.038 0.31 +
46 8.4e+03 0.78 0.019 -0.072 -
47 8.4e+03 1.4 0.019 0.48 +
48 8.4e+03 0.15 0.019 0.73 +
49 8.4e+03 0.72 0.19 0.95 ++
50 8.4e+03 3.5 0.19 0.1 +
51 8.4e+03 4.2 0.19 0.53 +
52 8.4e+03 4.2 0.095 -3.3 -
53 8.4e+03 4.2 0.048 -1.2 -
54 8.4e+03 4.2 0.024 -0.075 -
55 8.4e+03 2.4 0.024 0.69 +
56 8.4e+03 1.9 0.024 0.39 +
57 8.4e+03 0.5 0.024 0.76 +
58 8.4e+03 0.46 0.024 0.57 +
59 8.4e+03 0.77 0.24 0.91 ++
60 8.4e+03 4.8 0.24 0.67 +
61 8.4e+03 4.8 0.12 -0.62 -
62 8.4e+03 4.8 0.06 -0.22 -
63 8.4e+03 4.8 0.03 -0.49 -
64 8.4e+03 4.8 0.015 0.012 -
65 8.4e+03 0.058 0.15 1.2 ++
66 8.4e+03 0.058 0.075 -0.44 -
67 8.4e+03 0.058 0.037 -1.3 -
68 8.4e+03 0.058 0.019 -5.1 -
69 8.4e+03 0.058 0.0093 -2.2 -
70 8.4e+03 0.058 0.0047 -0.62 -
71 8.4e+03 0.64 0.0047 0.35 +
72 8.4e+03 0.025 0.047 0.97 ++
73 8.4e+03 0.0079 0.47 0.9 ++
74 8.4e+03 0.0079 0.23 -3.5 -
75 8.4e+03 0.0079 0.12 -0.47 -
76 8.4e+03 0.0079 0.058 -0.1 -
77 8.4e+03 0.0079 0.029 -0.42 -
78 8.4e+03 0.7 0.029 0.25 +
79 8.4e+03 1.5 0.29 0.99 ++
80 8.4e+03 5.8 0.29 0.57 +
81 8.4e+03 4.8 0.29 0.35 +
82 8.3e+03 1 0.29 0.84 +
83 8.3e+03 1 0.15 -0.87 -
84 8.3e+03 1 0.073 -0.17 -
85 8.3e+03 1 0.036 -0.024 -
86 8.3e+03 1.9 0.036 0.36 +
87 8.3e+03 0.15 0.036 0.72 +
88 8.3e+03 0.094 0.36 1 ++
89 8.3e+03 9.1 0.36 0.58 +
90 8.3e+03 9.1 0.18 -4.3 -
91 8.3e+03 9.1 0.091 -0.77 -
92 8.3e+03 3.1 0.091 0.34 +
93 8.3e+03 3.3 0.091 0.62 +
94 8.3e+03 2 0.091 0.72 +
95 8.3e+03 2 0.045 -0.72 -
96 8.3e+03 2 0.023 -0.12 -
97 8.3e+03 0.83 0.023 0.31 +
98 8.3e+03 0.83 0.011 -0.52 -
99 8.3e+03 4.1 0.011 0.54 +
100 8.3e+03 3.3 0.011 0.33 +
101 8.3e+03 0.66 0.011 0.79 +
102 8.3e+03 0.17 0.11 0.92 ++
103 8.3e+03 1.5 1.1 0.96 ++
104 8.3e+03 1.5 0.57 -31 -
105 8.3e+03 1.5 0.28 -15 -
106 8.3e+03 1.5 0.14 -10 -
107 8.3e+03 1.5 0.071 -4.1 -
108 8.3e+03 1.5 0.036 -0.54 -
109 8.3e+03 0.79 0.036 0.57 +
110 8.3e+03 0.79 0.018 -2.1 -
111 8.3e+03 0.79 0.0089 -0.38 -
112 8.3e+03 0.79 0.0044 -0.081 -
113 8.3e+03 0.79 0.0022 -0.22 -
114 8.3e+03 1.2 0.0022 0.32 +
115 8.3e+03 0.34 0.022 0.96 ++
116 8.3e+03 1.7 0.022 0.55 +
117 8.3e+03 1.1 0.22 0.92 ++
118 8.3e+03 1.1 0.11 -0.76 -
119 8.3e+03 1.1 0.056 -0.036 -
120 8.3e+03 2.3 0.056 0.14 +
121 8.3e+03 1.6 0.056 0.7 +
122 8.3e+03 1.6 0.028 0.037 -
123 8.3e+03 1.4 0.028 0.5 +
124 8.3e+03 0.17 0.028 0.59 +
125 8.3e+03 2.2 0.028 0.19 +
126 8.3e+03 2.2 0.014 -0.11 -
127 8.3e+03 1.3 0.014 0.17 +
128 8.3e+03 0.49 0.014 0.76 +
129 8.3e+03 0.17 0.014 0.8 +
130 8.3e+03 0.16 0.14 0.93 ++
131 8.3e+03 1.7 0.14 0.58 +
132 8.3e+03 1.7 0.069 -3.9 -
133 8.3e+03 1.7 0.035 -2.1 -
134 8.3e+03 1.7 0.017 -0.074 -
135 8.3e+03 0.55 0.017 0.77 +
136 8.3e+03 0.55 0.0087 -1.4 -
137 8.3e+03 0.55 0.0043 -0.51 -
138 8.3e+03 0.0035 0.0043 0.11 +
139 8.3e+03 0.0015 0.043 0.91 ++
140 8.3e+03 0.32 0.043 0.19 +
141 8.3e+03 0.31 0.043 0.39 +
142 8.3e+03 0.31 0.022 -2.4 -
143 8.3e+03 0.31 0.011 -0.18 -
144 8.3e+03 0.12 0.011 0.62 +
145 8.3e+03 0.12 0.0054 -0.23 -
146 8.3e+03 0.22 0.0054 0.51 +
147 8.3e+03 0.046 0.0054 0.82 +
148 8.3e+03 0.02 0.0054 0.44 +
149 8.3e+03 0.16 0.0054 0.63 +
150 8.3e+03 0.043 0.054 0.91 ++
151 8.3e+03 0.043 0.027 -1.1 -
152 8.3e+03 0.043 0.014 -0.016 -
153 8.3e+03 0.057 0.014 0.46 +
154 8.3e+03 0.057 0.0068 0.083 -
155 8.3e+03 0.064 0.0068 0.7 +
156 8.3e+03 0.064 0.0034 -0.17 -
157 8.3e+03 0.025 0.0034 0.64 +
158 8.3e+03 0.1 0.0034 0.5 +
159 8.3e+03 0.021 0.0034 0.78 +
160 8.3e+03 0.0066 0.034 0.92 ++
161 8.3e+03 0.0066 0.017 -0.98 -
162 8.3e+03 0.0066 0.0085 -0.37 -
163 8.3e+03 0.063 0.0085 0.6 +
164 8.3e+03 0.13 0.0085 0.7 +
165 8.3e+03 0.13 0.0042 -2.5 -
166 8.3e+03 0.13 0.0021 -0.63 -
167 8.3e+03 0.037 0.0021 0.78 +
168 8.3e+03 0.036 0.0021 0.65 +
169 8.3e+03 0.029 0.0021 0.24 +
170 8.3e+03 0.029 0.0011 0.028 -
171 8.3e+03 0.015 0.0011 0.87 +
172 8.3e+03 0.013 0.0011 0.7 +
173 8.3e+03 0.0035 0.011 0.97 ++
174 8.3e+03 0.0035 0.0053 -1.8 -
175 8.3e+03 0.0035 0.0026 -0.11 -
176 8.3e+03 0.037 0.0026 0.5 +
177 8.3e+03 0.023 0.0026 0.1 +
178 8.3e+03 0.023 0.0013 -0.77 -
179 8.3e+03 0.086 0.0013 0.27 +
180 8.3e+03 0.0075 0.0013 0.63 +
181 8.3e+03 0.0093 0.0013 0.46 +
182 8.3e+03 0.0075 0.0013 0.66 +
183 8.3e+03 0.0075 0.00066 -1.6 -
184 8.3e+03 0.0071 0.00066 0.19 +
185 8.3e+03 0.00032 0.0066 0.91 ++
186 8.3e+03 0.00032 0.0013 -21 -
187 8.3e+03 0.00032 0.00066 -6.8 -
188 8.3e+03 0.00032 0.00033 -1.9 -
189 8.3e+03 0.00032 0.00017 -0.14 -
190 8.3e+03 0.00026 0.00017 0.57 +
191 8.3e+03 0.0025 0.00017 0.87 +
192 8.3e+03 0.002 0.00017 0.81 +
193 8.3e+03 0.00068 0.0017 0.95 ++
194 8.3e+03 0.0066 0.0017 0.21 +
195 8.3e+03 0.0066 0.00083 -5.3 -
196 8.3e+03 0.0066 0.00041 -1.7 -
197 8.3e+03 0.0066 0.00021 -0.71 -
198 8.3e+03 0.0066 0.0001 -0.27 -
199 8.3e+03 0.0045 0.0001 0.48 +
200 8.3e+03 0.0036 0.0001 0.53 +
201 8.3e+03 0.00047 0.0001 0.48 +
202 8.3e+03 0.00047 5.2e-05 -0.097 -
203 8.3e+03 0.0012 5.2e-05 0.49 +
204 8.3e+03 0.00017 5.2e-05 0.63 +
205 8.3e+03 0.00017 2.6e-05 -0.96 -
206 8.3e+03 0.00015 2.6e-05 0.49 +
207 8.3e+03 0.00015 1.3e-05 -0.048 -
208 8.3e+03 6e-05 1.3e-05 0.83 +
209 8.3e+03 6e-05 6.5e-06 -0.47 -
210 8.3e+03 4.6e-05 6.5e-06 0.1 +
211 8.3e+03 4.6e-05 6.5e-06 0.89 +
212 8.3e+03 9.8e-06 6.5e-06 0.78 +
213 8.3e+03 1.1e-05 6.5e-06 0.84 +
214 8.3e+03 1.4e-05 6.5e-06 0.89 +
215 8.3e+03 7.8e-06 6.5e-06 0.83 +
216 8.3e+03 6.8e-06 6.5e-06 0.85 +
217 8.3e+03 5.9e-06 6.5e-06 0.73 +
Considering neighbor 2/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000109
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com b_cost asc_car_ref asc_car_diff_GA mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.068 -
1 -0.5 0.5 -0.5 -0.5 -0.5 0.5 -0.5 2.3 9e+03 0.19 0.5 0.34 +
2 -0.26 0.96 -1 -0.61 -0.37 5.6e-17 -1 1.8 8.5e+03 0.08 0.5 0.32 +
3 -0.26 0.96 -1 -0.61 -0.37 5.6e-17 -1 1.8 8.5e+03 0.08 0.25 0.013 -
4 -0.51 0.9 -1.1 -0.59 -0.45 0.25 -0.98 1.8 8.3e+03 0.035 0.25 0.67 +
5 -0.59 0.85 -1.1 -0.45 -0.59 5.6e-17 -0.94 1.6 8.3e+03 0.019 0.25 0.46 +
6 -0.59 0.85 -1.1 -0.45 -0.59 5.6e-17 -0.94 1.6 8.3e+03 0.019 0.12 -0.89 -
7 -0.59 0.85 -1.1 -0.45 -0.59 5.6e-17 -0.94 1.6 8.3e+03 0.019 0.062 -0.037 -
8 -0.66 0.91 -1 -0.39 -0.66 0.063 -0.88 1.6 8.3e+03 0.0074 0.062 0.6 +
9 -0.64 0.97 -1 -0.33 -0.59 0.0084 -0.86 1.5 8.3e+03 0.012 0.062 0.39 +
10 -0.7 0.98 -1.1 -0.31 -0.6 0.071 -0.85 1.6 8.3e+03 0.0067 0.062 0.58 +
11 -0.69 1 -1 -0.24 -0.59 0.042 -0.85 1.5 8.3e+03 0.0033 0.062 0.84 +
12 -0.74 1 -1.1 -0.18 -0.59 0.044 -0.83 1.5 8.3e+03 0.0055 0.062 0.38 +
13 -0.72 1.1 -1 -0.12 -0.61 0.033 -0.82 1.5 8.3e+03 0.003 0.062 0.64 +
14 -0.72 1.1 -1 -0.12 -0.61 0.033 -0.82 1.5 8.3e+03 0.003 0.031 -0.3 -
15 -0.74 1.1 -1.1 -0.088 -0.59 0.018 -0.8 1.5 8.3e+03 0.003 0.031 0.36 +
16 -0.74 1.1 -1.1 -0.088 -0.59 0.018 -0.8 1.5 8.3e+03 0.003 0.016 -0.21 -
17 -0.74 1.1 -1.1 -0.08 -0.61 0.033 -0.8 1.5 8.3e+03 0.0014 0.016 0.66 +
18 -0.74 1.1 -1.1 -0.065 -0.61 0.025 -0.79 1.5 8.3e+03 0.00063 0.016 0.86 +
19 -0.74 1.1 -1.1 -0.049 -0.61 0.03 -0.78 1.5 8.3e+03 0.0012 0.016 0.52 +
20 -0.75 1.1 -1.1 -0.033 -0.61 0.023 -0.76 1.5 8.3e+03 0.00083 0.016 0.54 +
21 -0.75 1.1 -1.1 -0.033 -0.61 0.023 -0.76 1.5 8.3e+03 0.00083 0.0078 -1.1 -
22 -0.74 1.1 -1.1 -0.028 -0.61 0.02 -0.76 1.5 8.3e+03 0.00098 0.0078 0.22 +
23 -0.74 1.1 -1.1 -0.028 -0.61 0.02 -0.76 1.5 8.3e+03 0.00098 0.0039 -0.14 -
24 -0.75 1.1 -1.1 -0.028 -0.61 0.024 -0.75 1.5 8.3e+03 0.00053 0.0039 0.62 +
25 -0.75 1.1 -1.1 -0.026 -0.61 0.024 -0.75 1.5 8.3e+03 0.00031 0.0039 0.57 +
26 -0.75 1.1 -1.1 -0.025 -0.61 0.02 -0.75 1.5 8.3e+03 0.00057 0.0039 0.12 +
27 -0.75 1.1 -1.1 -0.024 -0.61 0.023 -0.74 1.5 8.3e+03 0.00044 0.0039 0.44 +
28 -0.75 1.1 -1.1 -0.024 -0.61 0.023 -0.74 1.5 8.3e+03 0.00044 0.002 -0.22 -
29 -0.75 1.1 -1.1 -0.024 -0.61 0.021 -0.74 1.5 8.3e+03 0.00017 0.002 0.75 +
30 -0.75 1.1 -1.1 -0.023 -0.61 0.022 -0.74 1.5 8.3e+03 0.00014 0.002 0.89 +
31 -0.75 1.1 -1.1 -0.023 -0.61 0.021 -0.74 1.5 8.3e+03 0.00015 0.002 0.83 +
32 -0.75 1.1 -1.1 -0.022 -0.61 0.022 -0.74 1.5 8.3e+03 0.00012 0.002 0.9 +
33 -0.75 1.1 -1.1 -0.022 -0.61 0.021 -0.74 1.5 8.3e+03 0.00012 0.002 0.88 +
34 -0.75 1.1 -1.1 -0.022 -0.61 0.021 -0.73 1.5 8.3e+03 9.8e-05 0.002 0.88 +
35 -0.75 1.1 -1.1 -0.021 -0.61 0.02 -0.73 1.5 8.3e+03 0.0001 0.002 0.88 +
36 -0.75 1.1 -1.1 -0.021 -0.61 0.021 -0.73 1.5 8.3e+03 8e-05 0.002 0.87 +
37 -0.75 1.1 -1.1 -0.021 -0.61 0.02 -0.73 1.5 8.3e+03 8e-05 0.002 0.89 +
38 -0.75 1.1 -1.1 -0.02 -0.61 0.02 -0.73 1.5 8.3e+03 6.5e-05 0.002 0.89 +
39 -0.75 1.1 -1.1 -0.02 -0.61 0.02 -0.72 1.5 8.3e+03 6e-05 0.002 0.89 +
40 -0.75 1.1 -1.1 -0.02 -0.61 0.019 -0.72 1.5 8.3e+03 0.00017 0.002 0.25 +
41 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 4.5e-05 0.02 0.96 ++
42 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 4.5e-05 0.0098 -70 -
43 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 4.5e-05 0.0049 -25 -
44 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 4.5e-05 0.0024 -1.5 -
45 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 9.2e-05 0.0024 0.11 +
46 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 9.2e-05 0.0012 -2.3 -
47 -0.74 1.1 -1.1 -0.019 -0.61 0.019 -0.72 1.5 8.3e+03 3.1e-05 0.0012 0.58 +
48 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 0.012 0.9 ++
49 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 0.0061 -19 -
50 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 0.0031 -7.3 -
51 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 0.0015 -3.1 -
52 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 0.00076 -1.3 -
53 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 0.00038 -0.51 -
54 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 0.00019 -0.12 -
55 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.8e-05 9.5e-05 0.0055 -
56 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 1.4e-05 9.5e-05 0.46 +
57 -0.74 1.1 -1.1 -0.019 -0.61 0.02 -0.72 1.5 8.3e+03 5.7e-06 9.5e-05 0.79 +
Considering neighbor 3/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000110
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 1 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.61 -
1 0 0 0 0 0 1 0 0 0 0 0 0 1 1.1e+04 0.26 0.25 0.094 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 1 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 0.067 0.25 0.59 +
3 -0.25 -0.25 -0.25 -0.25 -0.25 1 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 0.067 0.12 -0.34 -
4 -0.38 -0.12 -0.12 -0.38 -0.38 1.1 -0.38 0.12 0.38 -0.12 -0.38 -0.12 1.4 9.2e+03 0.066 0.12 0.34 +
5 -0.25 0 -0.12 -0.5 -0.38 1.1 -0.4 0.076 0.25 -0.25 -0.39 -0.25 1.3 9e+03 0.047 0.12 0.79 +
6 -0.38 0.0039 -0.11 -0.62 -0.39 1.1 -0.53 -0.049 0.26 -0.24 -0.39 -0.2 1.4 8.9e+03 0.037 0.12 0.71 +
7 -0.27 0.13 -0.1 -0.7 -0.38 1 -0.53 -0.17 0.14 -0.31 -0.4 -0.29 1.3 8.7e+03 0.042 0.12 0.7 +
8 -0.4 0.11 -0.099 -0.82 -0.39 1 -0.65 -0.22 0.14 -0.28 -0.4 -0.26 1.4 8.7e+03 0.044 0.12 0.6 +
9 -0.31 0.21 -0.091 -0.82 -0.38 0.97 -0.66 -0.34 0.099 -0.3 -0.4 -0.28 1.4 8.6e+03 0.038 0.12 0.72 +
10 -0.33 0.25 -0.081 -0.95 -0.38 0.93 -0.78 -0.31 0.014 -0.32 -0.41 -0.34 1.4 8.6e+03 0.058 0.12 0.51 +
11 -0.32 0.3 -0.072 -0.96 -0.37 0.88 -0.83 -0.44 0.032 -0.29 -0.41 -0.3 1.4 8.5e+03 0.019 0.12 0.84 +
12 -0.3 0.36 -0.053 -1.1 -0.37 0.8 -0.95 -0.46 -0.058 -0.3 -0.42 -0.36 1.5 8.4e+03 0.035 0.12 0.81 +
13 -0.26 0.43 -0.035 -1.1 -0.37 0.72 -1 -0.58 -0.069 -0.27 -0.43 -0.34 1.5 8.4e+03 0.024 0.12 0.63 +
14 -0.28 0.43 -0.013 -1.2 -0.38 0.65 -1.2 -0.59 -0.11 -0.25 -0.43 -0.36 1.5 8.4e+03 0.02 0.12 0.63 +
15 -0.28 0.43 -0.013 -1.2 -0.38 0.65 -1.2 -0.59 -0.11 -0.25 -0.43 -0.36 1.5 8.4e+03 0.02 0.062 -0.17 -
16 -0.22 0.48 0.0034 -1.2 -0.38 0.61 -1.2 -0.62 -0.15 -0.25 -0.44 -0.39 1.5 8.4e+03 0.017 0.062 0.61 +
17 -0.24 0.47 0.018 -1.2 -0.39 0.58 -1.2 -0.65 -0.15 -0.23 -0.44 -0.38 1.5 8.4e+03 0.0085 0.062 0.81 +
18 -0.19 0.51 0.048 -1.3 -0.4 0.54 -1.3 -0.68 -0.2 -0.22 -0.45 -0.42 1.5 8.3e+03 0.012 0.062 0.74 +
19 -0.18 0.5 0.071 -1.3 -0.4 0.5 -1.4 -0.73 -0.18 -0.18 -0.46 -0.41 1.5 8.3e+03 0.013 0.062 0.48 +
20 -0.18 0.5 0.071 -1.3 -0.4 0.5 -1.4 -0.73 -0.18 -0.18 -0.46 -0.41 1.5 8.3e+03 0.013 0.031 -0.093 -
21 -0.18 0.5 0.082 -1.3 -0.41 0.5 -1.4 -0.7 -0.21 -0.19 -0.46 -0.43 1.5 8.3e+03 0.016 0.031 0.37 +
22 -0.15 0.52 0.093 -1.3 -0.41 0.49 -1.4 -0.73 -0.21 -0.18 -0.46 -0.44 1.4 8.3e+03 0.012 0.031 0.55 +
23 -0.16 0.51 0.1 -1.3 -0.41 0.48 -1.4 -0.74 -0.21 -0.17 -0.46 -0.43 1.4 8.3e+03 0.0042 0.031 0.81 +
24 -0.13 0.52 0.12 -1.4 -0.42 0.47 -1.5 -0.75 -0.23 -0.17 -0.47 -0.46 1.4 8.3e+03 0.008 0.031 0.7 +
25 -0.14 0.51 0.14 -1.4 -0.43 0.46 -1.5 -0.77 -0.21 -0.16 -0.47 -0.45 1.4 8.3e+03 0.0035 0.031 0.86 +
26 -0.12 0.52 0.16 -1.4 -0.43 0.45 -1.5 -0.77 -0.23 -0.16 -0.48 -0.47 1.4 8.3e+03 0.0059 0.031 0.8 +
27 -0.12 0.52 0.18 -1.4 -0.44 0.44 -1.6 -0.79 -0.22 -0.15 -0.48 -0.47 1.4 8.3e+03 0.0035 0.031 0.88 +
28 -0.11 0.52 0.2 -1.4 -0.45 0.44 -1.6 -0.79 -0.22 -0.15 -0.49 -0.48 1.4 8.3e+03 0.0037 0.031 0.89 +
29 -0.11 0.52 0.22 -1.4 -0.45 0.43 -1.6 -0.8 -0.21 -0.14 -0.49 -0.48 1.3 8.3e+03 0.0019 0.31 0.9 ++
30 -0.12 0.6 0.47 -1.6 -0.53 0.37 -1.9 -0.85 -0.13 -0.12 -0.57 -0.53 1 8.3e+03 0.0074 0.31 0.57 +
31 -0.12 0.6 0.47 -1.6 -0.53 0.37 -1.9 -0.85 -0.13 -0.12 -0.57 -0.53 1 8.3e+03 0.0074 0.16 -5 -
32 -0.12 0.6 0.47 -1.6 -0.53 0.37 -1.9 -0.85 -0.13 -0.12 -0.57 -0.53 1 8.3e+03 0.0074 0.078 -1.2 -
33 -0.12 0.6 0.47 -1.6 -0.53 0.37 -1.9 -0.85 -0.13 -0.12 -0.57 -0.53 1 8.3e+03 0.0074 0.039 0.066 -
34 -0.14 0.61 0.47 -1.6 -0.53 0.37 -1.9 -0.82 -0.11 -0.12 -0.57 -0.52 1.1 8.3e+03 0.0065 0.039 0.5 +
35 -0.16 0.65 0.47 -1.6 -0.53 0.36 -1.9 -0.8 -0.091 -0.14 -0.57 -0.5 1.1 8.3e+03 0.0031 0.039 0.67 +
36 -0.2 0.64 0.47 -1.6 -0.53 0.36 -1.9 -0.8 -0.087 -0.14 -0.58 -0.5 1 8.3e+03 0.0033 0.039 0.61 +
37 -0.24 0.67 0.47 -1.6 -0.53 0.36 -1.9 -0.81 -0.075 -0.14 -0.58 -0.5 1 8.3e+03 0.0043 0.039 0.13 +
38 -0.25 0.71 0.48 -1.6 -0.53 0.37 -1.9 -0.78 -0.062 -0.13 -0.59 -0.49 1 8.3e+03 0.0019 0.039 0.49 +
39 -0.28 0.7 0.49 -1.6 -0.53 0.33 -1.9 -0.79 -0.075 -0.14 -0.59 -0.49 1 8.3e+03 0.0016 0.039 0.16 +
40 -0.28 0.71 0.49 -1.6 -0.53 0.35 -1.9 -0.79 -0.067 -0.13 -0.59 -0.49 1 8.3e+03 0.0021 0.039 0.61 +
41 -0.28 0.72 0.5 -1.6 -0.53 0.36 -1.9 -0.79 -0.063 -0.13 -0.6 -0.49 1 8.3e+03 0.00038 0.39 0.94 ++
42 -0.28 0.72 0.5 -1.6 -0.53 0.36 -1.9 -0.79 -0.063 -0.13 -0.6 -0.49 1 8.3e+03 0.00038 0.2 -9.3 -
43 -0.28 0.72 0.5 -1.6 -0.53 0.36 -1.9 -0.79 -0.063 -0.13 -0.6 -0.49 1 8.3e+03 0.00038 0.098 -6.2 -
44 -0.28 0.72 0.5 -1.6 -0.53 0.36 -1.9 -0.79 -0.063 -0.13 -0.6 -0.49 1 8.3e+03 0.00038 0.049 -2 -
45 -0.28 0.72 0.5 -1.6 -0.53 0.36 -1.9 -0.79 -0.063 -0.13 -0.6 -0.49 1 8.3e+03 0.00038 0.024 -0.27 -
46 -0.29 0.74 0.52 -1.6 -0.53 0.35 -1.9 -0.79 -0.064 -0.14 -0.6 -0.49 1 8.3e+03 0.00073 0.024 0.35 +
47 -0.29 0.74 0.52 -1.6 -0.53 0.35 -1.9 -0.79 -0.064 -0.14 -0.6 -0.49 1 8.3e+03 0.00073 0.012 -0.36 -
48 -0.29 0.74 0.52 -1.6 -0.53 0.35 -1.9 -0.79 -0.064 -0.14 -0.6 -0.49 1 8.3e+03 0.00073 0.0061 0.055 -
49 -0.3 0.74 0.52 -1.6 -0.54 0.35 -1.9 -0.79 -0.06 -0.13 -0.61 -0.49 1 8.3e+03 0.0011 0.0061 0.22 +
50 -0.3 0.74 0.53 -1.6 -0.54 0.36 -1.9 -0.79 -0.063 -0.13 -0.61 -0.5 1 8.3e+03 0.00024 0.0061 0.83 +
51 -0.3 0.74 0.53 -1.6 -0.54 0.36 -1.9 -0.79 -0.063 -0.13 -0.61 -0.5 1 8.3e+03 0.00034 0.0061 0.81 +
52 -0.3 0.74 0.54 -1.6 -0.54 0.36 -1.9 -0.79 -0.064 -0.13 -0.61 -0.5 1 8.3e+03 0.00031 0.0061 0.74 +
53 -0.31 0.74 0.55 -1.6 -0.54 0.36 -1.9 -0.79 -0.064 -0.13 -0.61 -0.5 1 8.3e+03 0.00016 0.0061 0.87 +
54 -0.31 0.74 0.55 -1.6 -0.54 0.36 -1.9 -0.79 -0.064 -0.13 -0.62 -0.5 1 8.3e+03 0.00024 0.0061 0.77 +
55 -0.31 0.75 0.56 -1.6 -0.54 0.36 -1.9 -0.79 -0.064 -0.13 -0.62 -0.5 1 8.3e+03 0.00016 0.0061 0.81 +
56 -0.31 0.75 0.56 -1.6 -0.54 0.36 -1.9 -0.79 -0.065 -0.13 -0.62 -0.5 1 8.3e+03 0.00017 0.0061 0.81 +
57 -0.31 0.75 0.57 -1.6 -0.54 0.36 -1.9 -0.79 -0.065 -0.13 -0.62 -0.5 1 8.3e+03 0.00013 0.0061 0.73 +
58 -0.31 0.75 0.58 -1.6 -0.53 0.36 -1.9 -0.79 -0.064 -0.13 -0.63 -0.5 1 8.3e+03 0.0001 0.0061 0.69 +
59 -0.32 0.75 0.58 -1.6 -0.54 0.36 -1.9 -0.79 -0.066 -0.13 -0.63 -0.5 1 8.3e+03 0.00026 0.0061 0.14 +
60 -0.32 0.75 0.58 -1.6 -0.54 0.36 -1.9 -0.79 -0.066 -0.13 -0.63 -0.5 1 8.3e+03 0.00026 0.0031 -1.1 -
61 -0.32 0.75 0.58 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.49 1 8.3e+03 0.00014 0.0031 0.49 +
62 -0.32 0.75 0.58 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 0.0001 0.0031 0.26 +
63 -0.32 0.75 0.58 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 0.0001 0.0015 -1.1 -
64 -0.32 0.75 0.58 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 5.3e-05 0.0015 0.87 +
65 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.066 -0.13 -0.63 -0.5 1 8.3e+03 5.2e-05 0.0015 0.6 +
66 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 4.9e-05 0.0015 0.41 +
67 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 4.6e-05 0.0015 0.31 +
68 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.066 -0.13 -0.63 -0.5 1 8.3e+03 2.8e-05 0.0015 0.74 +
69 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.066 -0.13 -0.63 -0.5 1 8.3e+03 2.8e-05 0.00076 -0.13 -
70 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 2.2e-05 0.00076 0.49 +
71 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 2.2e-05 0.00038 0.083 -
72 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 8.5e-06 0.0038 0.95 ++
73 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 8.5e-06 0.0019 -40 -
74 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 8.5e-06 0.00095 -15 -
75 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 8.5e-06 0.00048 -6.8 -
76 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 8.5e-06 0.00024 -2.5 -
77 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 8.5e-06 0.00012 -0.66 -
78 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 8.5e-06 6e-05 -0.085 -
79 -0.32 0.75 0.59 -1.6 -0.53 0.36 -1.9 -0.79 -0.065 -0.13 -0.63 -0.5 1 8.3e+03 5.3e-06 6e-05 0.59 -
Considering neighbor 4/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000111
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com b_cost asc_car_ref asc_car_diff_GA mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.22 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 1.5 9.7e+03 0.14 0.5 0.44 +
2 -0.25 5.6e-17 -1 -0.62 -0.12 0 -1 1 8.9e+03 0.062 0.5 0.4 +
3 -0.25 5.6e-17 -1 -0.62 -0.12 0 -1 1 8.9e+03 0.062 0.25 -0.013 -
4 -0.5 0.25 -1.2 -0.37 -0.37 0.25 -1.2 1.2 8.6e+03 0.034 0.25 0.56 +
5 -0.34 0.5 -1.2 -0.34 -0.53 0.098 -1.3 1.1 8.5e+03 0.043 0.25 0.38 +
6 -0.54 0.75 -1.3 -0.33 -0.67 0.048 -1.3 1.4 8.4e+03 0.031 0.25 0.64 +
7 -0.48 1 -1.1 -0.28 -0.73 0.07 -1.3 1.4 8.3e+03 0.026 0.25 0.29 +
8 -0.48 1 -1.1 -0.28 -0.73 0.07 -1.3 1.4 8.3e+03 0.026 0.12 0.092 -
9 -0.6 1.1 -1.2 -0.28 -0.67 -0.045 -1.3 1.4 8.3e+03 0.014 0.12 0.63 +
10 -0.69 1.1 -1 -0.26 -0.7 -0.04 -1.4 1.4 8.3e+03 0.0061 0.12 0.5 +
11 -0.69 1.1 -1 -0.26 -0.7 -0.04 -1.4 1.4 8.3e+03 0.0061 0.062 -2 -
12 -0.69 1.1 -1 -0.26 -0.7 -0.04 -1.4 1.4 8.3e+03 0.0061 0.031 0.023 -
13 -0.69 1.1 -1.1 -0.26 -0.68 -0.071 -1.4 1.4 8.3e+03 0.0026 0.031 0.59 +
14 -0.69 1.1 -1.1 -0.26 -0.68 -0.071 -1.4 1.4 8.3e+03 0.0026 0.016 -1 -
15 -0.69 1.1 -1.1 -0.25 -0.69 -0.06 -1.4 1.4 8.3e+03 0.0028 0.016 0.43 +
16 -0.7 1.1 -1.1 -0.25 -0.69 -0.063 -1.4 1.4 8.3e+03 0.0014 0.016 0.52 +
17 -0.71 1.1 -1.1 -0.25 -0.69 -0.076 -1.4 1.4 8.3e+03 0.0017 0.016 0.53 +
18 -0.72 1.1 -1.1 -0.25 -0.7 -0.06 -1.4 1.4 8.3e+03 0.0018 0.016 0.35 +
19 -0.72 1.1 -1.1 -0.25 -0.7 -0.06 -1.4 1.4 8.3e+03 0.0018 0.0078 -0.024 -
20 -0.73 1.1 -1.1 -0.25 -0.69 -0.068 -1.4 1.3 8.3e+03 0.00065 0.0078 0.73 +
21 -0.73 1.2 -1.1 -0.25 -0.7 -0.067 -1.4 1.3 8.3e+03 0.0018 0.0078 0.27 +
22 -0.74 1.2 -1.1 -0.25 -0.7 -0.066 -1.4 1.3 8.3e+03 0.00043 0.078 0.95 ++
23 -0.79 1.2 -1.1 -0.23 -0.7 -0.057 -1.4 1.3 8.3e+03 0.0019 0.078 0.38 +
24 -0.79 1.2 -1.1 -0.23 -0.7 -0.057 -1.4 1.3 8.3e+03 0.0019 0.039 -0.6 -
25 -0.8 1.2 -1.1 -0.22 -0.69 -0.049 -1.3 1.3 8.3e+03 0.002 0.039 0.28 +
26 -0.8 1.2 -1.1 -0.22 -0.69 -0.049 -1.3 1.3 8.3e+03 0.002 0.02 0.0051 -
27 -0.81 1.2 -1.1 -0.23 -0.71 -0.043 -1.3 1.3 8.3e+03 0.0013 0.02 0.48 +
28 -0.83 1.2 -1.1 -0.23 -0.7 -0.046 -1.3 1.2 8.3e+03 0.00084 0.02 0.48 +
29 -0.82 1.3 -1.1 -0.22 -0.69 -0.045 -1.3 1.2 8.3e+03 0.0007 0.02 0.17 +
30 -0.82 1.3 -1.1 -0.22 -0.69 -0.045 -1.3 1.2 8.3e+03 0.0007 0.0098 -0.71 -
31 -0.82 1.3 -1.1 -0.22 -0.69 -0.045 -1.3 1.2 8.3e+03 0.0007 0.0049 -0.68 -
32 -0.83 1.2 -1.1 -0.22 -0.7 -0.04 -1.3 1.2 8.3e+03 0.00058 0.0049 0.27 +
33 -0.83 1.2 -1.1 -0.22 -0.7 -0.044 -1.3 1.2 8.3e+03 0.00025 0.0049 0.79 +
34 -0.83 1.3 -1.1 -0.22 -0.7 -0.042 -1.3 1.2 8.3e+03 0.00019 0.0049 0.75 +
35 -0.84 1.3 -1.1 -0.22 -0.7 -0.044 -1.3 1.2 8.3e+03 0.0002 0.0049 0.79 +
36 -0.84 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 0.00028 0.0049 0.65 +
37 -0.84 1.3 -1.1 -0.22 -0.7 -0.041 -1.3 1.2 8.3e+03 0.00025 0.0049 0.56 +
38 -0.84 1.3 -1.1 -0.22 -0.7 -0.041 -1.3 1.2 8.3e+03 0.00025 0.0024 -0.13 -
39 -0.84 1.3 -1.1 -0.22 -0.7 -0.04 -1.3 1.2 8.3e+03 0.00015 0.0024 0.43 +
40 -0.85 1.3 -1.1 -0.22 -0.7 -0.04 -1.3 1.2 8.3e+03 0.00011 0.0024 0.71 +
41 -0.85 1.3 -1.1 -0.22 -0.7 -0.04 -1.3 1.2 8.3e+03 0.00014 0.0024 0.59 +
42 -0.85 1.3 -1.1 -0.22 -0.7 -0.04 -1.3 1.2 8.3e+03 0.00014 0.0012 -0.28 -
43 -0.85 1.3 -1.1 -0.22 -0.7 -0.041 -1.3 1.2 8.3e+03 0.00013 0.0012 0.42 +
44 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 5.2e-05 0.0012 0.85 +
45 -0.85 1.3 -1.1 -0.22 -0.7 -0.04 -1.3 1.2 8.3e+03 6.9e-05 0.0012 0.84 +
46 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 0.00012 0.0012 0.33 +
47 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 6.8e-05 0.0012 0.54 +
48 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 7.1e-05 0.0012 0.14 +
49 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 7.1e-05 0.00061 -0.25 -
50 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 4.3e-05 0.00061 0.64 +
51 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 4.3e-05 0.00031 -0.92 -
52 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 3.1e-05 0.00031 0.54 +
53 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 2.3e-05 0.00031 0.83 +
54 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 2.8e-05 0.00031 0.76 +
55 -0.85 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 1.7e-05 0.0031 0.9 ++
56 -0.86 1.3 -1.1 -0.22 -0.7 -0.038 -1.3 1.2 8.3e+03 1.7e-05 0.0031 0.88 +
57 -0.86 1.3 -1.1 -0.22 -0.7 -0.038 -1.3 1.2 8.3e+03 1.7e-05 0.0015 -40 -
58 -0.86 1.3 -1.1 -0.22 -0.7 -0.038 -1.3 1.2 8.3e+03 1.7e-05 0.00076 -12 -
59 -0.86 1.3 -1.1 -0.22 -0.7 -0.038 -1.3 1.2 8.3e+03 1.7e-05 0.00038 -3.7 -
60 -0.86 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 7.3e-06 0.00038 0.54 +
61 -0.86 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 7.3e-06 0.00019 -5 -
62 -0.86 1.3 -1.1 -0.22 -0.7 -0.039 -1.3 1.2 8.3e+03 3.7e-06 0.00019 0.57 -
Considering neighbor 5/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000112
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.19 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 1.5 9.2e+03 0.085 0.5 0.43 +
2 -0.5 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 1.5 9.2e+03 0.085 0.25 -0.095 -
3 -0.25 -0.25 -0.25 -0.75 -0.75 -0.75 0.25 -0.75 -0.75 1.2 8.7e+03 0.028 0.25 0.45 +
4 -0.42 -0.099 -0.24 -0.87 -0.76 -0.81 0.4 -0.5 -0.75 1.3 8.7e+03 0.035 0.25 0.51 +
5 -0.34 0.15 -0.22 -0.87 -0.73 -0.83 0.29 -0.45 -0.76 1.2 8.6e+03 0.041 0.25 0.3 +
6 -0.34 0.15 -0.22 -0.87 -0.73 -0.83 0.29 -0.45 -0.76 1.2 8.6e+03 0.041 0.12 -0.13 -
7 -0.46 0.12 -0.22 -0.96 -0.75 -0.81 0.27 -0.43 -0.76 1.3 8.6e+03 0.014 0.12 0.76 +
8 -0.53 0.25 -0.19 -0.92 -0.68 -0.83 0.24 -0.34 -0.77 1.2 8.6e+03 0.011 0.12 0.81 +
9 -0.65 0.32 -0.16 -0.97 -0.66 -0.81 0.13 -0.3 -0.77 1.3 8.5e+03 0.012 0.12 0.53 +
10 -0.71 0.45 -0.11 -0.92 -0.6 -0.82 0.1 -0.23 -0.78 1.2 8.5e+03 0.013 0.12 0.59 +
11 -0.71 0.45 -0.11 -0.92 -0.6 -0.82 0.1 -0.23 -0.78 1.2 8.5e+03 0.013 0.062 -0.44 -
12 -0.77 0.44 -0.089 -0.93 -0.6 -0.82 0.11 -0.2 -0.78 1.3 8.5e+03 0.0075 0.062 0.39 +
13 -0.8 0.49 -0.047 -0.93 -0.61 -0.81 0.05 -0.21 -0.78 1.2 8.5e+03 0.0065 0.062 0.5 +
14 -0.8 0.49 -0.047 -0.93 -0.61 -0.81 0.05 -0.21 -0.78 1.2 8.5e+03 0.0065 0.031 -0.61 -
15 -0.83 0.52 -0.016 -0.9 -0.57 -0.84 0.081 -0.18 -0.75 1.2 8.5e+03 0.0053 0.031 0.47 +
16 -0.86 0.52 0.009 -0.92 -0.59 -0.83 0.055 -0.18 -0.75 1.2 8.5e+03 0.0045 0.031 0.63 +
17 -0.86 0.52 0.009 -0.92 -0.59 -0.83 0.055 -0.18 -0.75 1.2 8.5e+03 0.0045 0.016 0.088 -
18 -0.85 0.54 0.018 -0.91 -0.59 -0.83 0.056 -0.18 -0.75 1.2 8.5e+03 0.0043 0.016 0.59 +
19 -0.86 0.54 0.027 -0.91 -0.59 -0.83 0.057 -0.17 -0.75 1.2 8.5e+03 0.0024 0.16 0.95 ++
20 -0.97 0.62 0.18 -0.89 -0.61 -0.82 0.034 -0.13 -0.75 1.2 8.5e+03 0.0044 0.16 0.76 +
21 -1.1 0.68 0.34 -0.88 -0.62 -0.87 0.055 -0.12 -0.75 1.1 8.5e+03 0.0065 0.16 0.36 +
22 -1.1 0.68 0.34 -0.88 -0.62 -0.87 0.055 -0.12 -0.75 1.1 8.5e+03 0.0065 0.078 -3.3 -
23 -1.1 0.68 0.34 -0.88 -0.62 -0.87 0.055 -0.12 -0.75 1.1 8.5e+03 0.0065 0.039 -2.6 -
24 -1.1 0.69 0.36 -0.91 -0.63 -0.86 0.016 -0.15 -0.75 1.1 8.5e+03 0.0055 0.039 0.37 +
25 -1.1 0.69 0.36 -0.91 -0.63 -0.86 0.016 -0.15 -0.75 1.1 8.5e+03 0.0055 0.02 -1.4 -
26 -1.1 0.69 0.36 -0.91 -0.63 -0.86 0.016 -0.15 -0.75 1.1 8.5e+03 0.0055 0.0098 -0.51 -
27 -1.1 0.7 0.37 -0.9 -0.62 -0.87 0.026 -0.14 -0.74 1.1 8.5e+03 0.0042 0.0098 0.39 +
28 -1.1 0.69 0.38 -0.91 -0.62 -0.86 0.036 -0.13 -0.74 1.1 8.5e+03 0.0017 0.0098 0.67 +
29 -1.1 0.7 0.39 -0.9 -0.62 -0.85 0.04 -0.13 -0.74 1.1 8.5e+03 0.0018 0.0098 0.77 +
30 -1.1 0.7 0.4 -0.9 -0.62 -0.85 0.041 -0.13 -0.74 1.1 8.5e+03 0.0012 0.0098 0.85 +
31 -1.1 0.71 0.4 -0.9 -0.62 -0.84 0.042 -0.13 -0.74 1.1 8.5e+03 0.0016 0.098 0.9 ++
32 -1.2 0.74 0.5 -0.91 -0.62 -0.83 0.054 -0.13 -0.74 1.1 8.5e+03 0.001 0.098 0.88 +
33 -1.2 0.74 0.5 -0.91 -0.62 -0.83 0.054 -0.13 -0.74 1.1 8.5e+03 0.001 0.049 -0.32 -
34 -1.2 0.76 0.55 -0.91 -0.63 -0.87 0.043 -0.13 -0.73 1.1 8.5e+03 0.0017 0.049 0.37 +
35 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.49 0.9 ++
36 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.24 -3.6 -
37 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.12 -1.9 -
38 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.061 -0.6 -
39 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.031 -0.41 -
40 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.015 -0.86 -
41 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.0076 -0.7 -
42 -1.2 0.78 0.6 -0.91 -0.64 -0.83 0.049 -0.11 -0.72 1.1 8.5e+03 0.0011 0.0038 0.084 -
43 -1.2 0.78 0.6 -0.91 -0.63 -0.84 0.053 -0.12 -0.72 1.1 8.5e+03 0.00074 0.0038 0.58 +
44 -1.2 0.78 0.61 -0.91 -0.63 -0.84 0.049 -0.12 -0.72 1.1 8.5e+03 0.00062 0.038 0.91 ++
45 -1.2 0.8 0.65 -0.91 -0.63 -0.87 0.051 -0.12 -0.71 1.1 8.5e+03 0.0014 0.038 0.78 +
46 -1.3 0.82 0.68 -0.91 -0.64 -0.84 0.052 -0.11 -0.7 1 8.5e+03 0.001 0.038 0.68 +
47 -1.3 0.82 0.72 -0.9 -0.62 -0.85 0.048 -0.13 -0.69 1 8.5e+03 0.0008 0.038 0.35 +
48 -1.3 0.82 0.72 -0.9 -0.62 -0.85 0.048 -0.13 -0.69 1 8.5e+03 0.0008 0.019 0.092 -
49 -1.3 0.84 0.73 -0.91 -0.64 -0.85 0.054 -0.11 -0.69 1 8.5e+03 0.0005 0.019 0.84 +
50 -1.3 0.84 0.75 -0.91 -0.64 -0.86 0.049 -0.12 -0.68 1 8.5e+03 0.00053 0.019 0.64 +
51 -1.3 0.86 0.77 -0.91 -0.64 -0.84 0.055 -0.11 -0.68 1 8.5e+03 0.00068 0.019 0.57 +
52 -1.3 0.88 0.78 -0.92 -0.65 -0.86 0.057 -0.11 -0.67 1 8.5e+03 0.00045 0.019 0.28 +
53 -1.3 0.88 0.78 -0.92 -0.65 -0.86 0.057 -0.11 -0.67 1 8.5e+03 0.00045 0.0095 0.087 -
54 -1.3 0.87 0.79 -0.91 -0.64 -0.85 0.055 -0.11 -0.67 1 8.5e+03 0.00053 0.0095 0.69 +
55 -1.3 0.88 0.79 -0.92 -0.64 -0.86 0.054 -0.11 -0.66 1 8.5e+03 0.00019 0.0095 0.89 +
56 -1.4 0.87 0.8 -0.91 -0.64 -0.86 0.053 -0.11 -0.66 1 8.5e+03 0.00019 0.0095 0.84 +
57 -1.4 0.88 0.81 -0.92 -0.65 -0.85 0.056 -0.11 -0.66 1 8.5e+03 0.00023 0.0095 0.7 +
58 -1.4 0.89 0.82 -0.92 -0.64 -0.86 0.054 -0.11 -0.65 1 8.5e+03 0.00034 0.0095 0.43 +
59 -1.4 0.89 0.83 -0.91 -0.64 -0.85 0.054 -0.11 -0.65 1 8.5e+03 0.00036 0.0095 0.31 +
60 -1.4 0.89 0.83 -0.92 -0.65 -0.86 0.055 -0.11 -0.64 1 8.5e+03 0.0006 0.0095 0.51 +
61 -1.4 0.89 0.83 -0.92 -0.65 -0.86 0.055 -0.11 -0.64 1 8.5e+03 0.0006 0.0048 -0.43 -
62 -1.4 0.89 0.83 -0.91 -0.64 -0.86 0.056 -0.11 -0.64 1 8.5e+03 0.00024 0.0048 0.45 +
63 -1.4 0.89 0.84 -0.92 -0.65 -0.85 0.056 -0.1 -0.64 1 8.5e+03 0.00018 0.0048 0.64 +
64 -1.4 0.9 0.84 -0.91 -0.65 -0.86 0.056 -0.11 -0.64 1 8.5e+03 7.6e-05 0.048 0.9 ++
65 -1.4 0.9 0.84 -0.91 -0.65 -0.86 0.056 -0.11 -0.64 1 8.5e+03 7.6e-05 0.024 -2.2 -
66 -1.4 0.9 0.84 -0.91 -0.65 -0.86 0.056 -0.11 -0.64 1 8.5e+03 7.6e-05 0.012 -0.63 -
67 -1.4 0.9 0.85 -0.91 -0.64 -0.85 0.052 -0.1 -0.63 1 8.5e+03 0.00018 0.012 0.23 +
68 -1.4 0.9 0.85 -0.91 -0.64 -0.85 0.052 -0.1 -0.63 1 8.5e+03 0.00018 0.006 -0.075 -
69 -1.4 0.9 0.86 -0.92 -0.65 -0.86 0.055 -0.1 -0.62 1 8.5e+03 6.3e-05 0.006 0.49 +
70 -1.4 0.9 0.86 -0.92 -0.65 -0.86 0.055 -0.1 -0.62 1 8.5e+03 6.3e-05 0.003 -1.4 -
71 -1.4 0.9 0.86 -0.91 -0.65 -0.86 0.056 -0.11 -0.62 1 8.5e+03 8.8e-05 0.003 0.17 +
72 -1.4 0.9 0.86 -0.91 -0.64 -0.86 0.053 -0.1 -0.62 1 8.5e+03 6.6e-05 0.003 0.54 +
73 -1.4 0.9 0.86 -0.91 -0.64 -0.86 0.053 -0.1 -0.62 1 8.5e+03 6.6e-05 0.0015 -2 -
74 -1.4 0.9 0.86 -0.92 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 4e-05 0.0015 0.37 +
75 -1.4 0.9 0.86 -0.92 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 4e-05 0.00075 -1.6 -
76 -1.4 0.9 0.86 -0.91 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 7.2e-05 0.00075 0.12 +
77 -1.4 0.9 0.86 -0.92 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 3.5e-05 0.00075 0.31 +
78 -1.4 0.9 0.86 -0.92 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 3.5e-05 0.00037 -0.13 -
79 -1.4 0.9 0.86 -0.92 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 3.6e-05 0.00037 0.52 +
80 -1.4 0.9 0.86 -0.91 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 9e-06 0.00037 0.75 +
81 -1.4 0.9 0.86 -0.91 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 9e-06 0.00019 -0.91 -
82 -1.4 0.9 0.86 -0.91 -0.65 -0.86 0.054 -0.1 -0.62 1 8.5e+03 5.4e-06 0.00019 0.68 -
Considering neighbor 6/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000113
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com b_cost_train b_cost_swissmet asc_car b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.4 -
1 -0.5 -0.5 -0.5 -0.5 0.5 0.5 -0.5 1.5 9.8e+03 0.22 0.5 0.24 +
2 -0.32 -0.43 -0.49 -0.44 0 0.56 -0.38 1.3 9.2e+03 0.087 0.5 0.7 +
3 -0.21 -0.9 -0.5 -0.54 -0.14 0.062 -0.72 1.1 9e+03 0.095 0.5 0.17 +
4 -0.21 -0.9 -0.5 -0.54 -0.14 0.062 -0.72 1.1 9e+03 0.095 0.25 -0.19 -
5 -0.31 -0.92 -0.49 -0.68 -0.39 0.24 -0.5 1.2 8.7e+03 0.039 0.25 0.8 +
6 -0.31 -0.92 -0.49 -0.68 -0.39 0.24 -0.5 1.2 8.7e+03 0.039 0.12 -0.3 -
7 -0.31 -0.92 -0.49 -0.68 -0.39 0.24 -0.5 1.2 8.7e+03 0.039 0.062 -0.64 -
8 -0.25 -0.98 -0.47 -0.74 -0.32 0.18 -0.57 1.2 8.7e+03 0.031 0.062 0.71 +
9 -0.19 -0.96 -0.41 -0.81 -0.39 0.12 -0.5 1.3 8.6e+03 0.018 0.62 0.94 ++
10 -0.19 -0.96 -0.41 -0.81 -0.39 0.12 -0.5 1.3 8.6e+03 0.018 0.31 -0.39 -
11 0.12 -1.3 -0.11 -1.1 -0.7 -0.2 -0.56 1.6 8.5e+03 0.023 0.31 0.45 +
12 0.065 -1.1 -0.13 -1.4 -0.66 -0.23 -0.44 1.5 8.5e+03 0.02 0.31 0.35 +
13 0.065 -1.1 -0.13 -1.4 -0.66 -0.23 -0.44 1.5 8.5e+03 0.02 0.16 -3.4 -
14 0.065 -1.1 -0.13 -1.4 -0.66 -0.23 -0.44 1.5 8.5e+03 0.02 0.078 -1.2 -
15 0.065 -1.1 -0.13 -1.4 -0.66 -0.23 -0.44 1.5 8.5e+03 0.02 0.039 -0.19 -
16 0.1 -1 -0.17 -1.4 -0.7 -0.27 -0.48 1.5 8.5e+03 0.013 0.039 0.54 +
17 0.084 -1.1 -0.18 -1.4 -0.68 -0.31 -0.51 1.5 8.5e+03 0.023 0.039 0.22 +
18 0.089 -1 -0.18 -1.4 -0.72 -0.31 -0.5 1.5 8.5e+03 0.0064 0.39 0.92 ++
19 0.089 -1 -0.18 -1.4 -0.72 -0.31 -0.5 1.5 8.5e+03 0.0064 0.2 -0.67 -
20 0.00099 -1.1 -0.24 -1.5 -0.88 -0.5 -0.5 1.5 8.5e+03 0.012 0.2 0.22 +
21 0.00099 -1.1 -0.24 -1.5 -0.88 -0.5 -0.5 1.5 8.5e+03 0.012 0.098 -1.6 -
22 0.00099 -1.1 -0.24 -1.5 -0.88 -0.5 -0.5 1.5 8.5e+03 0.012 0.049 -0.52 -
23 0.05 -1.1 -0.23 -1.5 -0.89 -0.5 -0.49 1.4 8.5e+03 0.016 0.049 0.32 +
24 0.048 -1.1 -0.23 -1.6 -0.85 -0.49 -0.47 1.4 8.4e+03 0.0041 0.049 0.73 +
25 0.094 -1.1 -0.23 -1.6 -0.83 -0.5 -0.45 1.4 8.4e+03 0.0038 0.049 0.29 +
26 0.094 -1.1 -0.23 -1.6 -0.83 -0.5 -0.45 1.4 8.4e+03 0.0038 0.024 -0.67 -
27 0.094 -1.1 -0.23 -1.6 -0.83 -0.5 -0.45 1.4 8.4e+03 0.0038 0.012 -0.34 -
28 0.082 -1.1 -0.23 -1.6 -0.84 -0.49 -0.44 1.4 8.4e+03 0.0033 0.012 0.33 +
29 0.082 -1.1 -0.23 -1.6 -0.84 -0.51 -0.45 1.4 8.4e+03 0.0028 0.012 0.67 +
30 0.079 -1.1 -0.23 -1.6 -0.85 -0.5 -0.45 1.4 8.4e+03 0.00099 0.12 0.92 ++
31 0.079 -1.1 -0.23 -1.6 -0.85 -0.5 -0.45 1.4 8.4e+03 0.00099 0.061 -0.78 -
32 0.079 -1.1 -0.23 -1.6 -0.85 -0.5 -0.45 1.4 8.4e+03 0.00099 0.031 0.096 -
33 0.062 -1.1 -0.23 -1.7 -0.85 -0.51 -0.44 1.4 8.4e+03 0.0024 0.031 0.5 +
34 0.069 -1.1 -0.23 -1.7 -0.85 -0.51 -0.44 1.3 8.4e+03 0.0017 0.031 0.7 +
35 0.062 -1.1 -0.22 -1.7 -0.85 -0.5 -0.43 1.3 8.4e+03 0.0015 0.31 0.94 ++
36 0.062 -1.1 -0.22 -1.7 -0.85 -0.5 -0.43 1.3 8.4e+03 0.0015 0.15 -6.3 -
37 0.062 -1.1 -0.22 -1.7 -0.85 -0.5 -0.43 1.3 8.4e+03 0.0015 0.076 -2.7 -
38 0.062 -1.1 -0.22 -1.7 -0.85 -0.5 -0.43 1.3 8.4e+03 0.0015 0.038 -0.5 -
39 0.056 -1.2 -0.21 -1.7 -0.85 -0.49 -0.43 1.3 8.4e+03 0.0024 0.038 0.46 +
40 0.045 -1.2 -0.2 -1.7 -0.84 -0.48 -0.42 1.2 8.4e+03 0.001 0.38 0.97 ++
41 0.045 -1.2 -0.2 -1.7 -0.84 -0.48 -0.42 1.2 8.4e+03 0.001 0.14 -7.4 -
42 0.045 -1.2 -0.2 -1.7 -0.84 -0.48 -0.42 1.2 8.4e+03 0.001 0.069 -2.2 -
43 0.045 -1.2 -0.2 -1.7 -0.84 -0.48 -0.42 1.2 8.4e+03 0.001 0.034 -0.55 -
44 0.045 -1.2 -0.2 -1.7 -0.84 -0.48 -0.42 1.2 8.4e+03 0.001 0.017 0.0021 -
45 0.04 -1.2 -0.2 -1.7 -0.85 -0.48 -0.42 1.2 8.4e+03 0.00093 0.017 0.39 +
46 0.043 -1.2 -0.2 -1.8 -0.84 -0.47 -0.41 1.2 8.4e+03 0.00031 0.017 0.87 +
47 0.031 -1.2 -0.19 -1.8 -0.85 -0.47 -0.42 1.2 8.4e+03 0.00074 0.017 0.21 +
48 0.036 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00039 0.017 0.77 +
49 0.036 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00039 0.0086 -1.5 -
50 0.036 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00039 0.0043 -0.42 -
51 0.036 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00039 0.0022 -0.05 -
52 0.034 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00054 0.0022 0.28 +
53 0.032 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00027 0.0022 0.7 +
54 0.031 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00014 0.0022 0.7 +
55 0.031 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00014 0.0011 -0.3 -
56 0.03 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 0.00014 0.0011 0.23 +
57 0.03 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 4.2e-05 0.011 0.92 ++
58 0.03 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 4.2e-05 0.0054 -1 -
59 0.029 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 7.7e-05 0.054 0.91 ++
60 0.029 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 7.7e-05 0.027 -1.4e+02 -
61 0.029 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 7.7e-05 0.013 -45 -
62 0.029 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 7.7e-05 0.0067 -15 -
63 0.029 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 7.7e-05 0.0034 -8.5 -
64 0.029 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 7.7e-05 0.0017 -3.1 -
65 0.029 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 7.7e-05 0.00084 -0.58 -
66 0.028 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 1.5e-05 0.00084 0.55 +
67 0.028 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 1.5e-05 0.00042 -0.25 -
68 0.028 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 1.9e-05 0.00042 0.8 +
69 0.028 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 6.5e-06 0.00042 0.73 +
70 0.028 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 6.5e-06 0.00021 -0.29 -
71 0.028 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 1.3e-05 0.00021 0.28 +
72 0.028 -1.2 -0.19 -1.8 -0.84 -0.46 -0.41 1.2 8.4e+03 3.1e-06 0.00021 0.82 +
Considering neighbor 7/20 for current solution
Considering neighbor 8/20 for current solution
Attempt 53/100
Biogeme parameters read from biogeme.toml.
Model with 15 unknown parameters [max: 50]
*** Estimate b07everything_000114
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff b_cost_car Function Relgrad Radius Rho
0 -0.7 0.21 0.017 -0.74 -0.11 -0.98 -1 0.29 -0.58 -0.26 -0.26 -0.072 -0.74 -0.083 -0.61 8.6e+03 0.088 10 1.1 ++
1 -0.71 0.6 0.51 -1.3 0.69 -1.5 -1.6 2.2 -0.76 -0.44 -0.11 -0.4 -1.2 0.93 -0.64 8.3e+03 0.03 1e+02 1 ++
2 -0.65 0.74 0.63 -1.5 0.11 -1.7 -1.8 1.1 -0.79 -0.56 -0.13 -0.51 -1.2 0.36 -0.7 8.3e+03 0.014 1e+02 0.47 +
3 -0.65 0.74 0.63 -1.5 0.11 -1.7 -1.8 1.1 -0.79 -0.56 -0.13 -0.51 -1.2 0.36 -0.7 8.3e+03 0.014 0.61 0.091 -
4 -0.58 0.75 0.67 -1.4 0.32 -1.7 -1.5 1.7 -0.79 -0.41 -0.13 -0.51 -1.1 0.63 -0.64 8.3e+03 0.0098 0.61 0.41 +
5 -0.62 0.77 0.66 -1.5 0.29 -1.7 -1.8 1.5 -0.8 -0.52 -0.13 -0.51 -1.2 0.55 -0.68 8.2e+03 0.0032 0.61 0.77 +
6 -0.62 0.77 0.67 -1.5 0.36 -1.7 -1.8 1.6 -0.8 -0.51 -0.13 -0.51 -1.2 0.63 -0.68 8.2e+03 3.3e-05 6.1 0.98 ++
7 -0.62 0.77 0.67 -1.5 0.36 -1.7 -1.8 1.6 -0.8 -0.51 -0.13 -0.51 -1.2 0.63 -0.68 8.2e+03 8.4e-08 6.1 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000115
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train_re b_time_train_di b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 -1 0.26 0.11 -0.69 -0.45 -0.73 -0.84 -0.59 -0.65 -0.072 -0.17 -0.43 -0.58 8.6e+03 0.077 10 1.1 ++
1 -0.96 0.67 0.6 -1.1 -0.68 -0.84 -1 -0.82 -0.54 -0.099 -0.54 -0.58 -0.73 8.4e+03 0.022 1e+02 1.2 ++
2 -0.93 0.84 0.75 -1.3 -0.79 -0.86 -1.1 -0.87 -0.56 -0.099 -0.56 -0.58 -0.77 8.4e+03 0.0031 1e+03 1.1 ++
3 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 8.4e+03 5.8e-05 1e+04 1 ++
4 -0.92 0.86 0.77 -1.3 -0.8 -0.86 -1.1 -0.87 -0.56 -0.1 -0.56 -0.58 -0.77 8.4e+03 4.2e-08 1e+04 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 54/100
Considering neighbor 0/20 for current solution
Attempt 55/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000116
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -1.1 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.43 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 1.2 1e+04 0.21 0.25 0.22 +
3 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 -0.25 1.2 1e+04 0.21 0.12 0.081 -
4 -0.15 -0.12 -0.15 -0.19 -0.24 0.12 0.12 0.12 0.38 -0.3 -0.12 -0.12 -0.12 1.1 9.4e+03 0.089 0.12 0.84 +
5 -0.28 0 -0.28 -0.31 -0.36 0.099 0 0 0.25 -0.42 -0.25 0 -0.25 1.3 9.1e+03 0.048 0.12 0.76 +
6 -0.17 0.12 -0.28 -0.21 -0.48 -0.026 -0.12 -0.12 0.12 -0.55 -0.38 -0.098 -0.3 1.2 9e+03 0.12 0.12 0.31 +
7 -0.29 0.15 -0.4 -0.31 -0.6 -0.046 -0.15 -0.15 0.18 -0.56 -0.29 -0.054 -0.24 1.3 8.9e+03 0.079 0.12 0.6 +
8 -0.27 0.19 -0.39 -0.3 -0.6 -0.06 -0.15 -0.15 0.1 -0.59 -0.42 -0.14 -0.31 1.3 8.8e+03 0.071 0.12 0.54 +
9 -0.26 0.25 -0.4 -0.3 -0.61 -0.17 -0.22 -0.27 0.11 -0.61 -0.39 -0.13 -0.29 1.3 8.7e+03 0.051 0.12 0.49 +
10 -0.32 0.3 -0.52 -0.34 -0.68 -0.19 -0.24 -0.28 0.064 -0.64 -0.46 -0.19 -0.33 1.3 8.6e+03 0.039 0.12 0.68 +
11 -0.27 0.41 -0.48 -0.32 -0.69 -0.32 -0.31 -0.38 -0.022 -0.69 -0.57 -0.27 -0.39 1.3 8.5e+03 0.071 0.12 0.38 +
12 -0.34 0.47 -0.61 -0.38 -0.77 -0.41 -0.37 -0.47 -0.0053 -0.72 -0.52 -0.25 -0.35 1.4 8.5e+03 0.082 0.12 0.28 +
13 -0.34 0.47 -0.61 -0.38 -0.77 -0.41 -0.37 -0.47 -0.0053 -0.72 -0.52 -0.25 -0.35 1.4 8.5e+03 0.082 0.062 -0.24 -
14 -0.3 0.54 -0.59 -0.37 -0.83 -0.35 -0.3 -0.41 -0.068 -0.78 -0.58 -0.31 -0.41 1.4 8.4e+03 0.058 0.062 0.38 +
15 -0.3 0.55 -0.59 -0.36 -0.83 -0.4 -0.34 -0.47 -0.063 -0.79 -0.56 -0.3 -0.4 1.4 8.4e+03 0.021 0.062 0.84 +
16 -0.34 0.57 -0.65 -0.38 -0.85 -0.42 -0.36 -0.49 -0.098 -0.81 -0.6 -0.33 -0.42 1.4 8.4e+03 0.031 0.062 0.71 +
17 -0.34 0.6 -0.64 -0.38 -0.85 -0.48 -0.39 -0.55 -0.12 -0.82 -0.61 -0.34 -0.42 1.4 8.3e+03 0.016 0.062 0.85 +
18 -0.37 0.64 -0.68 -0.39 -0.87 -0.53 -0.42 -0.57 -0.18 -0.85 -0.67 -0.39 -0.46 1.5 8.3e+03 0.029 0.062 0.66 +
19 -0.39 0.67 -0.71 -0.41 -0.89 -0.59 -0.45 -0.62 -0.19 -0.86 -0.66 -0.4 -0.45 1.5 8.3e+03 0.02 0.062 0.7 +
20 -0.39 0.71 -0.69 -0.41 -0.89 -0.66 -0.48 -0.66 -0.25 -0.88 -0.71 -0.44 -0.48 1.5 8.3e+03 0.039 0.062 0.26 +
21 -0.44 0.72 -0.75 -0.44 -0.92 -0.66 -0.48 -0.64 -0.28 -0.9 -0.73 -0.46 -0.49 1.5 8.3e+03 0.039 0.062 0.23 +
22 -0.44 0.72 -0.75 -0.44 -0.92 -0.66 -0.48 -0.64 -0.28 -0.9 -0.73 -0.46 -0.49 1.5 8.3e+03 0.039 0.031 0.048 -
23 -0.43 0.73 -0.73 -0.43 -0.92 -0.69 -0.5 -0.68 -0.28 -0.9 -0.71 -0.45 -0.48 1.5 8.3e+03 0.009 0.031 0.82 +
24 -0.45 0.74 -0.75 -0.44 -0.93 -0.72 -0.51 -0.69 -0.31 -0.91 -0.73 -0.47 -0.49 1.5 8.2e+03 0.011 0.31 0.94 ++
25 -0.6 0.88 -0.83 -0.52 -1 -1 -0.66 -0.9 -0.57 -1 -0.8 -0.6 -0.54 1.6 8.2e+03 0.036 0.31 0.16 +
26 -0.6 0.88 -0.83 -0.52 -1 -1 -0.66 -0.9 -0.57 -1 -0.8 -0.6 -0.54 1.6 8.2e+03 0.036 0.16 -0.24 -
27 -0.62 0.9 -0.8 -0.56 -1.1 -1 -0.64 -0.79 -0.66 -1.1 -0.73 -0.62 -0.53 1.5 8.2e+03 0.02 0.16 0.35 +
28 -0.62 0.9 -0.8 -0.56 -1.1 -1 -0.64 -0.79 -0.66 -1.1 -0.73 -0.62 -0.53 1.5 8.2e+03 0.02 0.078 -1.1 -
29 -0.65 0.86 -0.86 -0.54 -1.1 -0.96 -0.65 -0.87 -0.66 -1.1 -0.73 -0.63 -0.54 1.4 8.2e+03 0.013 0.078 0.4 +
30 -0.65 0.86 -0.86 -0.54 -1.1 -0.96 -0.65 -0.87 -0.66 -1.1 -0.73 -0.63 -0.54 1.4 8.2e+03 0.013 0.039 -5.8 -
31 -0.65 0.86 -0.86 -0.54 -1.1 -0.96 -0.65 -0.87 -0.66 -1.1 -0.73 -0.63 -0.54 1.4 8.2e+03 0.013 0.02 -1.4 -
32 -0.65 0.86 -0.86 -0.54 -1.1 -0.96 -0.65 -0.87 -0.66 -1.1 -0.73 -0.63 -0.54 1.4 8.2e+03 0.013 0.0098 -0.43 -
33 -0.64 0.87 -0.85 -0.53 -1.1 -0.97 -0.66 -0.88 -0.65 -1.1 -0.72 -0.64 -0.53 1.4 8.2e+03 0.013 0.0098 0.23 +
34 -0.64 0.87 -0.85 -0.54 -1.1 -0.96 -0.65 -0.87 -0.66 -1.1 -0.73 -0.65 -0.54 1.4 8.2e+03 0.0061 0.0098 0.6 +
35 -0.63 0.88 -0.85 -0.54 -1.1 -0.97 -0.66 -0.87 -0.66 -1.1 -0.73 -0.64 -0.53 1.4 8.2e+03 0.0023 0.098 0.99 ++
36 -0.63 0.88 -0.85 -0.54 -1.1 -0.97 -0.66 -0.87 -0.66 -1.1 -0.73 -0.64 -0.53 1.4 8.2e+03 0.0023 0.049 -8.1 -
37 -0.63 0.88 -0.85 -0.54 -1.1 -0.97 -0.66 -0.87 -0.66 -1.1 -0.73 -0.64 -0.53 1.4 8.2e+03 0.0023 0.024 -2.7 -
38 -0.63 0.88 -0.85 -0.54 -1.1 -0.97 -0.66 -0.87 -0.66 -1.1 -0.73 -0.64 -0.53 1.4 8.2e+03 0.0023 0.012 -0.64 -
39 -0.63 0.88 -0.85 -0.54 -1.1 -0.97 -0.66 -0.87 -0.66 -1.1 -0.73 -0.64 -0.53 1.4 8.2e+03 0.0023 0.0061 0.058 -
40 -0.63 0.88 -0.85 -0.54 -1.1 -0.97 -0.66 -0.87 -0.66 -1.1 -0.73 -0.64 -0.53 1.4 8.2e+03 0.0023 0.0031 -0.11 -
41 -0.64 0.89 -0.85 -0.54 -1.1 -0.97 -0.66 -0.87 -0.66 -1.1 -0.73 -0.64 -0.54 1.4 8.2e+03 0.0023 0.0031 0.48 +
42 -0.63 0.89 -0.85 -0.55 -1.1 -0.97 -0.66 -0.86 -0.66 -1.1 -0.73 -0.64 -0.54 1.4 8.2e+03 0.0016 0.031 0.99 ++
43 -0.63 0.92 -0.86 -0.56 -1.1 -0.98 -0.67 -0.85 -0.65 -1.1 -0.72 -0.64 -0.54 1.4 8.2e+03 0.0018 0.031 0.81 +
44 -0.65 0.93 -0.88 -0.57 -1.1 -0.97 -0.69 -0.87 -0.65 -1.1 -0.73 -0.65 -0.55 1.4 8.2e+03 0.0023 0.031 0.68 +
45 -0.66 0.96 -0.88 -0.58 -1.1 -0.99 -0.7 -0.85 -0.63 -1.1 -0.72 -0.67 -0.55 1.4 8.2e+03 0.0017 0.031 0.89 +
46 -0.67 0.97 -0.89 -0.6 -1.1 -0.98 -0.72 -0.86 -0.64 -1.1 -0.73 -0.67 -0.56 1.3 8.2e+03 0.0016 0.031 0.84 +
47 -0.69 1 -0.9 -0.61 -1.1 -1 -0.72 -0.84 -0.63 -1.1 -0.72 -0.68 -0.56 1.3 8.2e+03 0.002 0.31 0.98 ++
48 -0.69 1 -0.9 -0.61 -1.1 -1 -0.72 -0.84 -0.63 -1.1 -0.72 -0.68 -0.56 1.3 8.2e+03 0.002 0.15 -0.97 -
49 -0.77 1.1 -0.96 -0.64 -1 -1 -0.79 -0.85 -0.62 -1.1 -0.72 -0.74 -0.58 1.2 8.2e+03 0.0067 0.15 0.26 +
50 -0.77 1.1 -0.96 -0.64 -1 -1 -0.79 -0.85 -0.62 -1.1 -0.72 -0.74 -0.58 1.2 8.2e+03 0.0067 0.076 -4.1 -
51 -0.77 1.1 -0.96 -0.64 -1 -1 -0.79 -0.85 -0.62 -1.1 -0.72 -0.74 -0.58 1.2 8.2e+03 0.0067 0.038 -0.59 -
52 -0.77 1.1 -0.95 -0.68 -1 -1 -0.8 -0.83 -0.62 -1.1 -0.72 -0.71 -0.58 1.2 8.2e+03 0.0041 0.038 0.53 +
53 -0.77 1.1 -0.95 -0.68 -1 -1 -0.8 -0.83 -0.62 -1.1 -0.72 -0.71 -0.58 1.2 8.2e+03 0.0041 0.019 -0.09 -
54 -0.78 1.1 -0.96 -0.68 -1 -1 -0.79 -0.84 -0.62 -1.1 -0.72 -0.73 -0.58 1.2 8.2e+03 0.0011 0.019 0.81 +
55 -0.78 1.1 -0.96 -0.68 -1 -1 -0.79 -0.84 -0.62 -1.1 -0.72 -0.73 -0.58 1.2 8.2e+03 0.0011 0.0095 0.027 -
56 -0.79 1.1 -0.96 -0.68 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.2 8.2e+03 0.001 0.0095 0.63 +
57 -0.8 1.1 -0.96 -0.68 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.2 8.2e+03 0.0024 0.0095 0.29 +
58 -0.8 1.2 -0.96 -0.68 -1 -1 -0.8 -0.83 -0.62 -1.1 -0.72 -0.73 -0.58 1.2 8.2e+03 0.0019 0.0095 0.67 +
59 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.1 8.2e+03 0.00091 0.095 1.1 ++
60 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.1 8.2e+03 0.00091 0.048 -5.8 -
61 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.1 8.2e+03 0.00091 0.024 -3.2 -
62 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.1 8.2e+03 0.00091 0.012 -1.9 -
63 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.1 8.2e+03 0.00091 0.006 -1.5 -
64 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.72 -0.58 1.1 8.2e+03 0.00091 0.003 -0.73 -
65 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.73 -0.58 1.1 8.2e+03 0.00089 0.003 0.35 +
66 -0.81 1.2 -0.97 -0.69 -1 -1 -0.8 -0.84 -0.62 -1.1 -0.72 -0.73 -0.58 1.1 8.2e+03 0.00044 0.03 0.92 ++
67 -0.83 1.2 -0.99 -0.7 -1 -1 -0.81 -0.83 -0.62 -1 -0.72 -0.73 -0.58 1.1 8.2e+03 0.0013 0.3 1 ++
68 -0.83 1.2 -0.99 -0.7 -1 -1 -0.81 -0.83 -0.62 -1 -0.72 -0.73 -0.58 1.1 8.2e+03 0.0013 0.06 0.027 -
69 -0.88 1.3 -1 -0.72 -1 -1 -0.81 -0.84 -0.61 -1 -0.73 -0.75 -0.59 1.1 8.2e+03 0.0029 0.06 0.35 +
70 -0.88 1.3 -1 -0.72 -1 -1 -0.81 -0.84 -0.61 -1 -0.73 -0.75 -0.59 1.1 8.2e+03 0.0029 0.03 -0.21 -
71 -0.88 1.3 -1 -0.72 -1 -1.1 -0.82 -0.83 -0.61 -1 -0.72 -0.74 -0.59 1.1 8.2e+03 0.0019 0.03 0.64 +
72 -0.88 1.3 -1 -0.72 -1 -1.1 -0.82 -0.83 -0.61 -1 -0.72 -0.74 -0.59 1.1 8.2e+03 0.0019 0.015 -1.5 -
73 -0.88 1.3 -1 -0.72 -1 -1.1 -0.82 -0.83 -0.61 -1 -0.72 -0.74 -0.59 1.1 8.2e+03 0.0019 0.0075 -0.42 -
74 -0.89 1.3 -1 -0.73 -1 -1.1 -0.82 -0.83 -0.61 -1 -0.73 -0.74 -0.59 1.1 8.2e+03 0.0018 0.0075 0.26 +
75 -0.89 1.3 -1 -0.73 -1 -1.1 -0.83 -0.83 -0.61 -1 -0.73 -0.74 -0.59 1 8.2e+03 0.00056 0.0075 0.74 +
76 -0.89 1.3 -1 -0.73 -1 -1.1 -0.82 -0.83 -0.61 -1 -0.73 -0.74 -0.59 1 8.2e+03 0.0013 0.0075 0.38 +
77 -0.9 1.3 -1 -0.73 -1 -1.1 -0.83 -0.84 -0.61 -1 -0.73 -0.74 -0.59 1 8.2e+03 0.00049 0.075 0.99 ++
78 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00076 0.75 0.91 ++
79 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.75 0.63 +
80 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.37 -53 -
81 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.19 -23 -
82 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.094 -7.1 -
83 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.047 -2.6 -
84 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.023 -1 -
85 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.012 -0.81 -
86 -0.94 1.4 -1.1 -0.75 -0.99 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00031 0.0058 -0.039 -
87 -0.94 1.4 -1.1 -0.75 -0.98 -1.1 -0.83 -0.84 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00022 0.0058 0.54 +
88 -0.95 1.4 -1.1 -0.75 -0.98 -1.1 -0.84 -0.83 -0.61 -0.99 -0.73 -0.75 -0.6 1 8.2e+03 0.00021 0.0058 0.6 +
89 -0.95 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 0.00016 0.0058 0.54 +
90 -0.95 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 0.00016 0.0029 0.039 -
91 -0.95 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 5.8e-05 0.0029 0.62 +
92 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 7.6e-05 0.0029 0.38 +
93 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 7.6e-05 0.0015 -1 -
94 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 5.2e-05 0.0015 0.72 +
95 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 2.9e-05 0.0015 0.6 +
96 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 2.9e-05 0.00073 -1.6 -
97 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 2.9e-05 0.00037 -0.015 -
98 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 3.5e-05 0.00037 0.81 +
99 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 1.7e-05 0.00037 0.52 +
100 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 1.7e-05 0.00018 -0.14 -
101 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 1.4e-05 0.00018 0.71 +
102 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 7.7e-06 0.0018 0.92 ++
103 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 3.2e-05 0.0018 0.2 +
104 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 3.2e-05 0.00091 -4.3 -
105 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 3.2e-05 0.00046 -3.7 -
106 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 3.2e-05 0.00023 0.071 -
107 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 3.9e-05 0.00023 0.4 +
108 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 1.4e-05 0.00023 0.16 +
109 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 1.7e-05 0.00023 0.38 +
110 -0.96 1.4 -1.1 -0.75 -0.97 -1.1 -0.84 -0.83 -0.61 -0.98 -0.73 -0.75 -0.6 1 8.2e+03 4.6e-06 0.00023 0.42 +
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 56/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000117
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -2.1 -
1 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.13 -
2 -0.25 -0.00017 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.5e+03 2 2.5 1 ++
3 -0.25 -0.00017 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.5e+03 2 1.2 -5.7 -
4 -0.25 -0.00017 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.5e+03 2 0.62 -4.2 -
5 -0.25 -0.00017 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.5e+03 2 0.31 -1.5 -
6 -0.25 -0.00017 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 9.5e+03 2 0.16 -0.15 -
7 -0.35 0.015 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 -0.047 0.0082 9.4e+03 11 0.16 0.23 +
8 -0.35 0.015 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 -0.047 0.0082 9.4e+03 11 0.078 -0.79 -
9 -0.35 0.015 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 -0.047 0.0082 9.4e+03 11 0.039 -0.7 -
10 -0.35 0.015 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 -0.047 0.0082 9.4e+03 11 0.02 -0.65 -
11 -0.35 0.015 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 -0.047 0.0082 9.4e+03 11 0.0098 -0.52 -
12 -0.35 0.015 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 -0.047 0.0082 9.4e+03 11 0.0049 -0.087 -
13 -0.36 0.02 -0.41 -0.084 0.12 0.0011 -0.36 0.23 0.033 -0.052 0.013 9.2e+03 5.2 0.0049 0.34 +
14 -0.36 0.02 -0.41 -0.084 0.12 0.0011 -0.36 0.23 0.033 -0.052 0.013 9.2e+03 5.2 0.0024 -0.51 -
15 -0.36 0.022 -0.41 -0.081 0.12 -0.0013 -0.36 0.23 0.036 -0.054 0.016 9.1e+03 4.5 0.0024 0.63 +
16 -0.36 0.023 -0.42 -0.082 0.12 -0.00086 -0.36 0.23 0.036 -0.055 0.016 9.1e+03 2.7 0.024 1.3 ++
17 -0.37 0.03 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 -0.063 0.021 9.1e+03 5.5 0.024 0.66 +
18 -0.37 0.03 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 -0.063 0.021 9.1e+03 5.5 0.012 -2.7 -
19 -0.37 0.03 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 -0.063 0.021 9.1e+03 5.5 0.0061 -2.1 -
20 -0.37 0.03 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 -0.063 0.021 9.1e+03 5.5 0.0031 -1.7 -
21 -0.37 0.03 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 -0.063 0.021 9.1e+03 5.5 0.0015 -1.1 -
22 -0.37 0.03 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 -0.063 0.021 9.1e+03 5.5 0.00076 -0.49 -
23 -0.37 0.03 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 -0.063 0.021 9.1e+03 5.5 0.00038 0.068 -
24 -0.37 0.03 -0.44 -0.086 0.14 -0.0009 -0.37 0.21 0.042 -0.063 0.022 9.1e+03 2.6 0.00038 0.62 +
25 -0.37 0.03 -0.44 -0.086 0.14 -0.0009 -0.37 0.21 0.042 -0.063 0.022 9.1e+03 2.6 0.00019 -0.88 -
26 -0.37 0.03 -0.44 -0.086 0.14 -0.0009 -0.37 0.21 0.042 -0.063 0.022 9.1e+03 2.6 9.5e-05 -0.57 -
27 -0.37 0.031 -0.44 -0.086 0.14 -0.00081 -0.37 0.21 0.042 -0.063 0.022 9.1e+03 1.2 9.5e-05 0.64 +
28 -0.37 0.031 -0.44 -0.086 0.14 -0.00083 -0.37 0.21 0.042 -0.063 0.022 9e+03 0.059 0.00095 1 ++
29 -0.37 0.031 -0.44 -0.086 0.14 -0.00083 -0.38 0.2 0.042 -0.064 0.022 9e+03 0.33 0.0095 1 ++
30 -0.38 0.034 -0.45 -0.087 0.14 -0.00085 -0.38 0.19 0.044 -0.067 0.024 9e+03 0.058 0.095 1 ++
31 -0.42 0.065 -0.53 -0.098 0.19 -0.0011 -0.43 0.099 0.057 -0.098 0.038 8.9e+03 0.2 0.95 0.99 ++
32 -0.68 1 -1 -0.23 -0.14 0.00034 -1.2 -0.67 -0.36 -0.61 -0.29 8.5e+03 13 0.95 0.65 +
33 -0.68 1 -1 -0.23 -0.14 0.00034 -1.2 -0.67 -0.36 -0.61 -0.29 8.5e+03 13 0.48 -0.2 -
34 -0.73 1 -1.5 -0.34 -0.025 -0.00013 -1.2 -0.63 -0.4 -0.63 -0.36 8.3e+03 14 0.48 0.46 +
35 -0.73 1 -1.5 -0.34 -0.025 -0.00013 -1.2 -0.63 -0.4 -0.63 -0.36 8.3e+03 14 0.24 -0.38 -
36 -0.7 1.1 -1.7 -0.41 -0.12 0.00023 -1.2 -0.8 -0.3 -0.67 -0.3 8.2e+03 37 0.24 0.45 +
37 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.24 0.65 +
38 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.12 -3.9 -
39 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.06 -3.9 -
40 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.03 -3.7 -
41 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.015 -3.7 -
42 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.0075 -3.6 -
43 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.0037 -3.6 -
44 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.0019 -3.6 -
45 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.00093 -3.6 -
46 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.00047 -2.9 -
47 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.00023 -1.7 -
48 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 0.00012 -0.83 -
49 -0.55 1.2 -2 -0.56 -0.092 0.00019 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 26 5.8e-05 0.019 -
50 -0.55 1.2 -2 -0.56 -0.092 0.00013 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 4.8 5.8e-05 0.87 +
51 -0.55 1.2 -2 -0.56 -0.092 0.00013 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 0.092 0.00058 0.99 ++
52 -0.55 1.2 -2 -0.56 -0.092 0.00013 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 0.035 0.0058 1 ++
53 -0.55 1.2 -2 -0.56 -0.098 0.00016 -1.2 -0.81 -0.3 -0.73 -0.35 8.2e+03 0.72 0.058 0.95 ++
54 -0.6 1.2 -2 -0.61 -0.1 0.00019 -1.2 -0.78 -0.27 -0.75 -0.34 8.1e+03 0.65 0.58 1 ++
55 -0.57 1.3 -2.1 -1.1 -0.11 0.00021 -1.1 -0.76 -0.18 -1.1 -0.35 8.1e+03 0.58 5.8 1 ++
56 -0.56 1.3 -2.1 -1.1 -0.11 0.00021 -1.1 -0.76 -0.18 -1.1 -0.36 8.1e+03 0.01 58 1 ++
57 -0.56 1.3 -2.1 -1.1 -0.11 0.00021 -1.1 -0.76 -0.18 -1.1 -0.36 8.1e+03 2.6e-05 5.8e+02 1 ++
58 -0.56 1.3 -2.1 -1.1 -0.11 0.00021 -1.1 -0.76 -0.18 -1.1 -0.36 8.1e+03 1.2e-06 5.8e+02 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 57/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000118
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost asc_car_ref asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -0.73 -
1 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 5 1.1 ++
2 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 2.5 -7.1 -
3 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 1.2 -5.9 -
4 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.62 -4.6 -
5 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.31 -3.5 -
6 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.16 -2.9 -
7 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.078 -2.9 -
8 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.039 -3.3 -
9 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.02 -3.8 -
10 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.0098 -4.2 -
11 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.0049 -3.7 -
12 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.0024 -2.5 -
13 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.0012 -1.8 -
14 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.00061 -0.98 -
15 -0.5 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.021 -0.0063 9.2e+03 6.2 0.00031 -0.13 -
16 -0.5 -0.5 -0.02 -0.5 -0.16 0.00031 -0.00031 -0.14 0.026 -0.022 -0.0066 9.2e+03 3.8 0.00031 0.67 +
17 -0.5 -0.5 -0.02 -0.5 -0.16 0.00061 -0.00021 -0.14 0.026 -0.022 -0.0066 9.2e+03 4 0.00031 0.35 +
18 -0.5 -0.5 -0.02 -0.5 -0.16 0.00092 -0.00027 -0.14 0.026 -0.022 -0.0066 9.2e+03 1.7 0.00031 0.76 +
19 -0.5 -0.5 -0.02 -0.5 -0.16 0.0012 -0.00026 -0.14 0.026 -0.022 -0.0066 9.2e+03 0.23 0.0031 0.98 ++
20 -0.5 -0.5 -0.02 -0.5 -0.16 0.0043 -0.00027 -0.14 0.025 -0.023 -0.0067 9.2e+03 0.11 0.031 1 ++
21 -0.51 -0.49 -0.02 -0.53 -0.17 0.035 -0.0004 -0.15 0.018 -0.031 -0.0072 9.1e+03 0.089 0.31 1 ++
22 -0.55 -0.31 -0.019 -0.81 -0.18 0.21 -0.0011 -0.45 0.0058 -0.11 -0.017 8.9e+03 1.6 0.31 0.78 +
23 -0.62 -0.0015 -0.013 -0.99 -0.16 0.0064 -0.00028 -0.76 0.078 -0.16 -0.034 8.7e+03 1.8 0.31 0.74 +
24 -0.81 0.2 0.0039 -1.3 -0.19 -0.032 -0.00013 -0.75 0.092 -0.19 -0.059 8.6e+03 1.4 3.1 1.1 ++
25 -0.81 0.2 0.0039 -1.3 -0.19 -0.032 -0.00013 -0.75 0.092 -0.19 -0.059 8.6e+03 1.4 0.89 -30 -
26 -0.81 0.2 0.0039 -1.3 -0.19 -0.032 -0.00013 -0.75 0.092 -0.19 -0.059 8.6e+03 1.4 0.44 -2.1 -
27 -0.92 0.65 0.064 -1.7 -0.31 -0.11 0.00021 -0.77 0.12 -0.16 -0.11 8.5e+03 18 0.44 0.48 +
28 -0.97 0.85 0.4 -2.1 -0.75 -0.092 0.00014 -0.77 0.27 -0.13 -0.3 8.5e+03 19 0.44 0.87 +
29 -1.1 0.97 0.84 -2.2 -1.1 -0.11 0.00022 -0.79 0.23 -0.1 -0.55 8.5e+03 23 0.44 0.46 +
30 -1.1 0.95 0.87 -2 -1 -0.1 0.00018 -0.79 0.21 -0.1 -0.58 8.4e+03 0.41 4.4 1 ++
31 -1.2 0.96 0.9 -2 -0.93 -0.1 0.00018 -0.79 0.21 -0.11 -0.6 8.4e+03 0.033 44 1 ++
32 -1.2 0.96 0.9 -2 -0.94 -0.1 0.00018 -0.78 0.21 -0.11 -0.61 8.4e+03 0.0073 4.4e+02 1 ++
33 -1.2 0.96 0.9 -2 -0.94 -0.1 0.00018 -0.78 0.21 -0.11 -0.62 8.4e+03 4.1e-05 4.4e+03 1 ++
34 -1.2 0.96 0.9 -2 -0.94 -0.1 0.00018 -0.78 0.21 -0.11 -0.62 8.4e+03 2.5e-06 4.4e+03 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 58/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000119
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_1st square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -1.5 -
1 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.055 -
2 -0.25 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.0062 9.4e+03 1.4 2.5 1 ++
3 -0.25 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.0062 9.4e+03 1.4 1.2 -5.9 -
4 -0.25 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.0062 9.4e+03 1.4 0.62 -3.1 -
5 -0.25 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.0062 9.4e+03 1.4 0.31 -1.4 -
6 -0.25 -0.25 -0.19 0 0 -0.25 0.25 0.0078 -0.0062 9.4e+03 1.4 0.16 0.00089 -
7 -0.36 -0.41 -0.26 0.15 -0.0031 -0.36 0.21 0.041 0.022 9.2e+03 9.1 0.16 0.53 +
8 -0.36 -0.41 -0.26 0.15 -0.0031 -0.36 0.21 0.041 0.022 9.2e+03 9.1 0.078 0.056 -
9 -0.38 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.058 0.041 9.1e+03 5.4 0.078 0.14 +
10 -0.38 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.058 0.041 9.1e+03 5.4 0.039 -4.2 -
11 -0.38 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.058 0.041 9.1e+03 5.4 0.02 -2.8 -
12 -0.38 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.058 0.041 9.1e+03 5.4 0.0098 -2 -
13 -0.38 -0.48 -0.27 0.12 0.0023 -0.38 0.13 0.058 0.041 9.1e+03 5.4 0.0049 -1.2 -
14 -0.38 -0.48 -0.28 0.11 -0.0026 -0.39 0.13 0.059 0.044 9.1e+03 11 0.0049 0.14 +
15 -0.39 -0.48 -0.28 0.11 0.0012 -0.39 0.12 0.06 0.044 9e+03 5.3 0.0049 0.14 +
16 -0.39 -0.48 -0.28 0.11 0.0012 -0.39 0.12 0.06 0.044 9e+03 5.3 0.0024 -0.6 -
17 -0.39 -0.49 -0.28 0.11 -0.0012 -0.39 0.12 0.062 0.047 8.9e+03 4.2 0.0024 0.65 +
18 -0.39 -0.49 -0.28 0.11 -0.00081 -0.39 0.12 0.062 0.047 8.9e+03 2.3 0.024 1.4 ++
19 -0.39 -0.5 -0.28 0.12 -0.00056 -0.4 0.093 0.062 0.048 8.9e+03 5.4 0.024 0.65 +
20 -0.39 -0.5 -0.28 0.12 -0.00056 -0.4 0.093 0.062 0.048 8.9e+03 5.4 0.012 -2.2 -
21 -0.39 -0.5 -0.28 0.12 -0.00056 -0.4 0.093 0.062 0.048 8.9e+03 5.4 0.0061 -2.5 -
22 -0.39 -0.5 -0.28 0.12 -0.00056 -0.4 0.093 0.062 0.048 8.9e+03 5.4 0.0031 -2.6 -
23 -0.39 -0.5 -0.28 0.12 -0.00056 -0.4 0.093 0.062 0.048 8.9e+03 5.4 0.0015 -2.7 -
24 -0.39 -0.5 -0.28 0.12 -0.00056 -0.4 0.093 0.062 0.048 8.9e+03 5.4 0.00076 -0.96 -
25 -0.39 -0.5 -0.28 0.12 -0.00056 -0.4 0.093 0.062 0.048 8.9e+03 5.4 0.00038 -0.21 -
26 -0.39 -0.5 -0.28 0.12 -0.00094 -0.4 0.092 0.062 0.049 8.9e+03 2.7 0.00038 0.2 +
27 -0.39 -0.5 -0.28 0.12 -0.00094 -0.4 0.092 0.062 0.049 8.9e+03 2.7 0.00019 -0.29 -
28 -0.39 -0.5 -0.29 0.12 -0.00075 -0.4 0.092 0.061 0.049 8.9e+03 0.054 0.00019 0.82 +
29 -0.39 -0.5 -0.29 0.12 -0.00077 -0.4 0.092 0.061 0.049 8.9e+03 0.57 0.0019 1 ++
30 -0.39 -0.5 -0.29 0.12 -0.00076 -0.4 0.09 0.061 0.049 8.9e+03 0.062 0.019 1 ++
31 -0.4 -0.51 -0.29 0.12 -0.00078 -0.41 0.071 0.06 0.049 8.9e+03 0.075 0.19 1 ++
32 -0.44 -0.61 -0.32 0.18 -0.00099 -0.49 -0.12 0.044 0.048 8.8e+03 0.038 1.9 0.99 ++
33 -0.44 -0.61 -0.32 0.18 -0.00099 -0.49 -0.12 0.044 0.048 8.8e+03 0.038 0.95 -48 -
34 -0.44 -0.61 -0.32 0.18 -0.00099 -0.49 -0.12 0.044 0.048 8.8e+03 0.038 0.48 -1.2 -
35 -0.43 -0.81 -0.41 -0.0077 -0.00024 -0.85 -0.6 -0.37 -0.24 8.6e+03 0.63 0.48 0.86 +
36 -0.35 -1.1 -0.61 -0.04 -9.6e-05 -1.3 -0.77 -0.44 -0.26 8.4e+03 0.48 4.8 1.2 ++
37 -0.35 -1.1 -0.61 -0.04 -9.6e-05 -1.3 -0.77 -0.44 -0.26 8.4e+03 0.48 0.5 -4.5 -
38 -0.081 -1.5 -0.82 -0.13 0.00029 -1.8 -0.86 -0.46 -0.33 8.4e+03 28 0.5 0.19 +
39 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.5 0.42 +
40 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.15 -1.2 -
41 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.074 -0.99 -
42 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.037 -1.1 -
43 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.018 -1.3 -
44 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.0092 -1.2 -
45 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.0046 -1.5 -
46 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.0023 -1.8 -
47 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.0012 -2 -
48 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.00058 -2.1 -
49 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.00029 -2.2 -
50 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 0.00014 -2.2 -
51 0.14 -2 -0.9 -0.095 0.00018 -1.9 -0.97 -0.38 -0.3 8.3e+03 20 7.2e-05 -0.84 -
52 0.14 -2 -0.9 -0.095 0.00011 -1.9 -0.97 -0.38 -0.3 8.3e+03 21 7.2e-05 0.18 +
53 0.14 -2 -0.9 -0.095 0.00011 -1.9 -0.97 -0.38 -0.3 8.3e+03 21 3.6e-05 -0.24 -
54 0.14 -2 -0.9 -0.095 0.00015 -1.9 -0.97 -0.38 -0.3 8.3e+03 6.3 3.6e-05 0.66 +
55 0.14 -2 -0.9 -0.095 0.00014 -1.9 -0.97 -0.38 -0.3 8.3e+03 0.53 0.00036 0.95 ++
56 0.14 -2 -0.9 -0.096 0.00014 -1.9 -0.97 -0.38 -0.3 8.3e+03 0.13 0.0036 1 ++
57 0.14 -2 -0.9 -0.099 0.00016 -1.9 -0.97 -0.38 -0.3 8.3e+03 0.58 0.036 1 ++
58 0.14 -2 -0.89 -0.12 0.00024 -1.9 -0.94 -0.39 -0.31 8.3e+03 3.6 0.36 0.9 ++
59 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.9 -0.36 -0.36 8.3e+03 1.8 3.6 1 ++
60 0.13 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.35 8.3e+03 0.0069 36 1 ++
61 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 8.3e+03 0.0011 3.6e+02 1 ++
62 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 8.3e+03 3.5e-05 3.6e+03 1 ++
63 0.12 -1.9 -0.67 -0.11 0.0002 -2 -0.91 -0.36 -0.36 8.3e+03 2.2e-10 3.6e+03 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 17 unknown parameters [max: 50]
*** Estimate b07everything_000120
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.53 -
1 1.1e+04 0.4 0.25 0.018 -
2 9.7e+03 1.1 0.25 0.72 +
3 9.7e+03 1.1 0.12 -8.5 -
4 1.7e+04 5.5 1.2 7.8 ++
5 1.7e+04 5.5 0.62 -0.49 -
6 1.7e+04 5.5 0.31 -0.35 -
7 1.5e+04 3.5 0.31 0.14 +
8 1.3e+04 1.8 0.31 0.11 +
9 1.3e+04 1.8 0.16 -1.3 -
10 9.5e+03 0.36 1.6 1 ++
11 9.5e+03 0.36 0.78 -11 -
12 9.5e+03 0.36 0.39 -12 -
13 9.5e+03 0.36 0.2 -12 -
14 9.5e+03 0.36 0.098 -12 -
15 9.5e+03 0.36 0.049 -9.9 -
16 9.5e+03 0.36 0.024 -3.6 -
17 9.3e+03 0.086 0.24 1.1 ++
18 9.3e+03 0.086 0.12 -15 -
19 9.3e+03 0.086 0.061 -9.3 -
20 9.3e+03 0.086 0.031 -6.5 -
21 9.3e+03 0.086 0.015 -4.7 -
22 9.3e+03 0.086 0.0076 -2.7 -
23 9.3e+03 0.076 0.076 0.97 ++
24 9.2e+03 0.059 0.76 0.96 ++
25 9.2e+03 0.059 0.38 -0.7 -
26 8.9e+03 6 0.38 0.62 +
27 8.9e+03 6 0.19 -0.64 -
28 8.9e+03 6 0.095 -0.16 -
29 8.9e+03 6 0.048 0.096 -
30 8.8e+03 2.8 0.048 0.25 +
31 8.8e+03 2.8 0.024 -3.8 -
32 8.8e+03 2.8 0.012 -2.7 -
33 8.8e+03 2.8 0.006 -1.4 -
34 8.8e+03 5.9 0.006 0.31 +
35 8.7e+03 2.8 0.006 0.82 +
36 8.7e+03 2.8 0.003 -0.38 -
37 8.7e+03 2.8 0.0015 -0.54 -
38 8.7e+03 2.8 0.00075 -0.65 -
39 8.7e+03 2.8 0.00037 -0.059 -
40 8.7e+03 1.3 0.00037 0.45 +
41 8.7e+03 1.3 0.00019 -0.2 -
42 8.7e+03 1.2 0.00019 0.45 +
43 8.7e+03 0.044 0.0019 0.97 ++
44 8.7e+03 0.058 0.019 1 ++
45 8.7e+03 0.034 0.19 1 ++
46 8.6e+03 0.091 1.9 0.96 ++
47 8.6e+03 0.091 0.93 -37 -
48 8.4e+03 2.8 0.93 0.79 +
49 8.3e+03 6.4 0.93 0.62 +
50 8.3e+03 6.4 0.47 -13 -
51 8.3e+03 6.4 0.23 -3.5 -
52 8.3e+03 6.4 0.12 -0.51 -
53 8.3e+03 9.7 0.12 0.51 +
54 8.3e+03 9.7 0.058 -3.5 -
55 8.3e+03 9.7 0.029 -3.8 -
56 8.3e+03 9.7 0.015 -3.9 -
57 8.3e+03 9.7 0.0073 -4.1 -
58 8.3e+03 9.7 0.0036 -4.3 -
59 8.3e+03 9.7 0.0018 -4.4 -
60 8.3e+03 9.7 0.00091 -2.6 -
61 8.3e+03 9.7 0.00045 -1.4 -
62 8.3e+03 9.7 0.00023 -0.44 -
63 8.3e+03 7.3 0.00023 0.32 +
64 8.3e+03 7.3 0.00011 -0.44 -
65 8.3e+03 5.5 0.00011 0.55 +
66 8.3e+03 1.2 0.00011 0.82 +
67 8.3e+03 0.069 0.0011 0.98 ++
68 8.3e+03 0.043 0.011 1 ++
69 8.3e+03 0.066 0.11 1 ++
70 8.3e+03 0.094 1.1 0.99 ++
71 8.3e+03 0.094 0.57 -11 -
72 8.3e+03 0.094 0.28 -0.77 -
73 8.3e+03 4.5 0.28 0.75 +
74 8.2e+03 1 2.8 1 ++
75 8.2e+03 4.6 2.8 0.8 +
76 8.2e+03 0.27 28 1 ++
77 8.2e+03 0.012 2.8e+02 1 ++
78 8.2e+03 1.3e-05 2.8e+03 1 ++
79 8.2e+03 8e-08 2.8e+03 1 ++
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000121
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.5 -
1 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.25 -0.036 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 -0.25 2 9.3e+03 0.14 0.25 0.39 +
3 -0.082 -1.4e-17 -0.24 -0.5 -0.5 -0.5 0 1.7e-18 -0.27 2 8.8e+03 0.13 0.25 0.5 +
4 -0.33 -0.21 -0.25 -0.75 -0.74 -0.58 0.25 -0.019 -0.28 2.1 8.7e+03 0.074 0.25 0.12 +
5 -0.32 0.0027 -0.24 -0.82 -0.74 -0.67 0.089 -0.27 -0.29 2 8.5e+03 0.045 0.25 0.59 +
6 -0.32 0.0027 -0.24 -0.82 -0.74 -0.67 0.089 -0.27 -0.29 2 8.5e+03 0.045 0.12 -0.22 -
7 -0.4 0.011 -0.23 -0.72 -0.66 -0.7 0.21 -0.14 -0.3 2 8.5e+03 0.034 0.12 0.53 +
8 -0.34 0.14 -0.21 -0.67 -0.62 -0.7 0.15 -0.21 -0.31 2 8.5e+03 0.039 0.12 0.19 +
9 -0.47 0.14 -0.2 -0.76 -0.63 -0.65 0.15 -0.21 -0.33 2 8.4e+03 0.0097 0.12 0.61 +
10 -0.47 0.14 -0.2 -0.76 -0.63 -0.65 0.15 -0.21 -0.33 2 8.4e+03 0.0097 0.062 -1.5 -
11 -0.46 0.21 -0.18 -0.7 -0.57 -0.67 0.19 -0.18 -0.35 2 8.4e+03 0.01 0.062 0.32 +
12 -0.52 0.25 -0.15 -0.75 -0.57 -0.65 0.12 -0.18 -0.37 2 8.4e+03 0.0082 0.062 0.75 +
13 -0.52 0.25 -0.15 -0.75 -0.57 -0.65 0.12 -0.18 -0.37 2 8.4e+03 0.0082 0.031 -1.4 -
14 -0.52 0.25 -0.15 -0.75 -0.57 -0.65 0.12 -0.18 -0.37 2 8.4e+03 0.0082 0.016 -0.19 -
15 -0.53 0.24 -0.14 -0.74 -0.55 -0.66 0.14 -0.16 -0.39 2 8.4e+03 0.0058 0.016 0.54 +
16 -0.53 0.26 -0.13 -0.74 -0.55 -0.66 0.12 -0.16 -0.39 2 8.4e+03 0.0056 0.016 0.81 +
17 -0.55 0.26 -0.12 -0.74 -0.55 -0.66 0.13 -0.15 -0.4 2 8.4e+03 0.0047 0.16 0.94 ++
18 -0.64 0.42 -0.011 -0.75 -0.51 -0.64 0.058 -0.062 -0.49 2 8.4e+03 0.0072 0.16 0.6 +
19 -0.64 0.42 -0.011 -0.75 -0.51 -0.64 0.058 -0.062 -0.49 2 8.4e+03 0.0072 0.078 -0.69 -
20 -0.64 0.42 -0.011 -0.75 -0.51 -0.64 0.058 -0.062 -0.49 2 8.4e+03 0.0072 0.039 -0.53 -
21 -0.64 0.42 -0.011 -0.75 -0.51 -0.64 0.058 -0.062 -0.49 2 8.4e+03 0.0072 0.02 -0.84 -
22 -0.64 0.42 -0.011 -0.75 -0.51 -0.64 0.058 -0.062 -0.49 2 8.4e+03 0.0072 0.0098 -0.67 -
23 -0.65 0.41 -0.0017 -0.75 -0.52 -0.65 0.068 -0.052 -0.5 2 8.4e+03 0.0036 0.0098 0.4 +
24 -0.65 0.41 0.0051 -0.75 -0.51 -0.65 0.058 -0.059 -0.5 2 8.4e+03 0.0025 0.0098 0.86 +
25 -0.66 0.41 0.011 -0.75 -0.51 -0.65 0.061 -0.056 -0.5 2 8.4e+03 0.0025 0.0098 0.77 +
26 -0.66 0.41 0.021 -0.74 -0.51 -0.66 0.053 -0.061 -0.51 2 8.4e+03 0.0022 0.0098 0.83 +
27 -0.67 0.41 0.03 -0.74 -0.51 -0.66 0.054 -0.058 -0.51 2 8.4e+03 0.0016 0.0098 0.83 +
28 -0.67 0.41 0.04 -0.74 -0.51 -0.66 0.049 -0.06 -0.52 2 8.4e+03 0.0016 0.098 0.9 ++
29 -0.72 0.45 0.14 -0.72 -0.51 -0.67 0.042 -0.047 -0.57 1.9 8.4e+03 0.0028 0.098 0.67 +
30 -0.72 0.45 0.14 -0.72 -0.51 -0.67 0.042 -0.047 -0.57 1.9 8.4e+03 0.0028 0.049 -4.1 -
31 -0.72 0.45 0.14 -0.72 -0.51 -0.67 0.042 -0.047 -0.57 1.9 8.4e+03 0.0028 0.024 -3.5 -
32 -0.72 0.45 0.14 -0.72 -0.51 -0.67 0.042 -0.047 -0.57 1.9 8.4e+03 0.0028 0.012 -0.58 -
33 -0.72 0.45 0.14 -0.74 -0.52 -0.66 0.032 -0.052 -0.57 1.9 8.4e+03 0.002 0.012 0.33 +
34 -0.72 0.45 0.14 -0.74 -0.52 -0.66 0.032 -0.052 -0.57 1.9 8.4e+03 0.002 0.0061 0.061 -
35 -0.72 0.45 0.15 -0.73 -0.52 -0.67 0.038 -0.046 -0.57 1.9 8.4e+03 0.00091 0.061 0.95 ++
36 -0.72 0.45 0.15 -0.73 -0.52 -0.67 0.038 -0.046 -0.57 1.9 8.4e+03 0.00091 0.031 -0.95 -
37 -0.72 0.45 0.15 -0.73 -0.52 -0.67 0.038 -0.046 -0.57 1.9 8.4e+03 0.00091 0.015 -1.5 -
38 -0.72 0.45 0.15 -0.73 -0.52 -0.67 0.038 -0.046 -0.57 1.9 8.4e+03 0.00091 0.0076 -0.15 -
39 -0.72 0.46 0.16 -0.73 -0.52 -0.67 0.037 -0.048 -0.57 1.9 8.4e+03 0.0019 0.0076 0.26 +
40 -0.73 0.46 0.16 -0.74 -0.52 -0.67 0.038 -0.047 -0.57 1.9 8.4e+03 0.00079 0.0076 0.7 +
41 -0.73 0.46 0.17 -0.74 -0.52 -0.67 0.042 -0.044 -0.57 1.9 8.4e+03 0.0011 0.0076 0.78 +
42 -0.73 0.46 0.18 -0.74 -0.52 -0.67 0.037 -0.047 -0.57 1.9 8.4e+03 0.0006 0.076 0.91 ++
43 -0.76 0.48 0.25 -0.75 -0.51 -0.68 0.04 -0.042 -0.58 1.9 8.4e+03 0.001 0.076 0.67 +
44 -0.76 0.48 0.25 -0.75 -0.51 -0.68 0.04 -0.042 -0.58 1.9 8.4e+03 0.001 0.038 -6.3 -
45 -0.76 0.48 0.25 -0.75 -0.51 -0.68 0.04 -0.042 -0.58 1.9 8.4e+03 0.001 0.019 -2.4 -
46 -0.76 0.48 0.25 -0.75 -0.51 -0.68 0.04 -0.042 -0.58 1.9 8.4e+03 0.001 0.0095 -0.5 -
47 -0.76 0.49 0.26 -0.75 -0.52 -0.68 0.04 -0.044 -0.57 1.9 8.4e+03 0.00046 0.0095 0.39 +
48 -0.76 0.49 0.26 -0.75 -0.52 -0.68 0.04 -0.044 -0.57 1.9 8.4e+03 0.00046 0.0048 -0.31 -
49 -0.76 0.49 0.26 -0.75 -0.52 -0.68 0.039 -0.042 -0.57 1.9 8.4e+03 0.0004 0.048 0.91 ++
50 -0.76 0.49 0.26 -0.75 -0.52 -0.68 0.039 -0.042 -0.57 1.9 8.4e+03 0.0004 0.024 -11 -
51 -0.76 0.49 0.26 -0.75 -0.52 -0.68 0.039 -0.042 -0.57 1.9 8.4e+03 0.0004 0.012 -4.3 -
52 -0.76 0.49 0.26 -0.75 -0.52 -0.68 0.039 -0.042 -0.57 1.9 8.4e+03 0.0004 0.006 -1.8 -
53 -0.76 0.49 0.26 -0.75 -0.52 -0.68 0.039 -0.042 -0.57 1.9 8.4e+03 0.0004 0.003 -0.87 -
54 -0.76 0.49 0.27 -0.75 -0.52 -0.67 0.036 -0.043 -0.57 1.9 8.4e+03 0.00045 0.003 0.11 +
55 -0.76 0.49 0.27 -0.75 -0.52 -0.68 0.036 -0.043 -0.56 1.9 8.4e+03 0.00036 0.003 0.78 +
56 -0.76 0.49 0.27 -0.75 -0.52 -0.68 0.036 -0.042 -0.56 1.9 8.4e+03 0.00025 0.003 0.87 +
57 -0.76 0.49 0.27 -0.75 -0.52 -0.68 0.037 -0.04 -0.56 1.9 8.4e+03 0.00045 0.003 0.67 +
58 -0.76 0.49 0.28 -0.75 -0.52 -0.68 0.035 -0.041 -0.56 1.9 8.4e+03 0.00012 0.03 0.9 ++
59 -0.76 0.49 0.28 -0.75 -0.52 -0.68 0.035 -0.041 -0.56 1.9 8.4e+03 0.00012 0.015 -0.57 -
60 -0.77 0.49 0.29 -0.75 -0.52 -0.68 0.035 -0.041 -0.54 1.9 8.4e+03 0.00059 0.015 0.23 +
61 -0.77 0.49 0.29 -0.75 -0.52 -0.68 0.035 -0.041 -0.54 1.9 8.4e+03 0.00059 0.0075 -1.6 -
62 -0.76 0.49 0.29 -0.75 -0.52 -0.67 0.036 -0.039 -0.54 1.9 8.4e+03 0.00052 0.0075 0.28 +
63 -0.76 0.49 0.29 -0.75 -0.52 -0.67 0.036 -0.039 -0.54 1.9 8.4e+03 0.00052 0.0037 -0.99 -
64 -0.76 0.49 0.29 -0.75 -0.52 -0.67 0.036 -0.039 -0.54 1.9 8.4e+03 0.00052 0.0019 -0.12 -
65 -0.76 0.49 0.29 -0.75 -0.52 -0.68 0.034 -0.04 -0.54 1.9 8.4e+03 0.00027 0.0019 0.51 +
66 -0.76 0.49 0.29 -0.75 -0.52 -0.68 0.035 -0.04 -0.53 1.9 8.4e+03 0.00017 0.0019 0.64 +
67 -0.76 0.49 0.3 -0.75 -0.52 -0.68 0.034 -0.039 -0.53 1.9 8.4e+03 8.3e-05 0.0019 0.89 +
68 -0.77 0.49 0.3 -0.75 -0.52 -0.68 0.034 -0.04 -0.53 1.9 8.4e+03 9.1e-05 0.0019 0.86 +
69 -0.77 0.49 0.3 -0.75 -0.52 -0.68 0.034 -0.039 -0.53 1.9 8.4e+03 9.3e-05 0.0019 0.89 +
70 -0.77 0.49 0.3 -0.75 -0.52 -0.68 0.034 -0.039 -0.53 1.9 8.4e+03 0.00011 0.019 0.91 ++
71 -0.77 0.5 0.31 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 0.00016 0.019 0.59 +
72 -0.77 0.5 0.31 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 0.00016 0.0093 -2.7 -
73 -0.77 0.5 0.31 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 0.00016 0.0047 -0.93 -
74 -0.77 0.5 0.31 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 0.00016 0.0023 -0.23 -
75 -0.77 0.5 0.31 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 0.0001 0.0023 0.44 +
76 -0.77 0.5 0.31 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 0.0001 0.0012 -0.98 -
77 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 5.2e-05 0.0012 0.32 +
78 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 7.7e-05 0.0012 0.16 +
79 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 7.7e-05 0.00058 -0.49 -
80 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 3.4e-05 0.00058 0.86 +
81 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 3.4e-05 0.00029 -0.78 -
82 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 4.2e-05 0.00029 0.13 +
83 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 8.5e-06 0.0029 0.94 ++
84 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 8.5e-06 0.0015 -1.7 -
85 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 8.5e-06 0.00073 -0.42 -
86 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 4e-05 0.00073 0.12 +
87 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 1.4e-05 0.00073 0.8 +
88 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.51 1.9 8.4e+03 1.4e-05 0.00036 0.092 -
89 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.5 1.9 8.4e+03 1.5e-05 0.00036 0.29 +
90 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.5 1.9 8.4e+03 8.9e-06 0.00036 0.84 +
91 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.5 1.9 8.4e+03 8.9e-06 0.00018 -0.16 -
92 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.5 1.9 8.4e+03 1.3e-05 0.00018 0.41 +
93 -0.77 0.5 0.32 -0.75 -0.52 -0.68 0.033 -0.038 -0.5 1.9 8.4e+03 5.2e-06 0.00018 0.72 +
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 59/100
Considering neighbor 0/20 for current solution
Attempt 60/100
Considering neighbor 0/20 for current solution
Attempt 61/100
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000122
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car b_time_car_ref b_time_car_diff b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.91 -
1 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.25 -0.2 -
2 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 0.15 0.25 0.4 +
3 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.6e+03 0.15 0.12 -0.54 -
4 -0.12 -0.38 -0.2 -0.38 0.12 0.12 0.12 0.38 -0.12 -0.12 -0.12 1.4 9.3e+03 0.095 0.12 0.35 +
5 -0.12 -0.38 -0.2 -0.38 0.12 0.12 0.12 0.38 -0.12 -0.12 -0.12 1.4 9.3e+03 0.095 0.062 -0.11 -
6 -0.062 -0.31 -0.14 -0.31 0.062 0.19 0.062 0.31 -0.19 -0.19 -0.19 1.3 9.2e+03 0.067 0.062 0.48 +
7 -0.062 -0.31 -0.14 -0.31 0.062 0.19 0.062 0.31 -0.19 -0.19 -0.19 1.3 9.2e+03 0.067 0.031 0.021 -
8 -0.094 -0.34 -0.17 -0.34 0.094 0.22 0.094 0.28 -0.22 -0.22 -0.22 1.3 9.2e+03 0.054 0.031 0.5 +
9 -0.12 -0.38 -0.2 -0.38 0.062 0.23 0.062 0.25 -0.25 -0.25 -0.2 1.4 9.1e+03 0.06 0.31 0.91 ++
10 0.15 -0.61 -0.25 -0.69 -0.25 0.2 -0.25 -0.062 -0.48 -0.39 -0.19 1.3 8.8e+03 0.068 0.31 0.69 +
11 0.15 -0.61 -0.25 -0.69 -0.25 0.2 -0.25 -0.062 -0.48 -0.39 -0.19 1.3 8.8e+03 0.068 0.16 -0.48 -
12 0.15 -0.61 -0.25 -0.69 -0.25 0.2 -0.25 -0.062 -0.48 -0.39 -0.19 1.3 8.8e+03 0.068 0.078 -0.32 -
13 0.15 -0.61 -0.25 -0.69 -0.25 0.2 -0.25 -0.062 -0.48 -0.39 -0.19 1.3 8.8e+03 0.068 0.039 -0.045 -
14 0.11 -0.65 -0.29 -0.73 -0.29 0.21 -0.22 -0.023 -0.44 -0.37 -0.16 1.4 8.8e+03 0.039 0.039 0.56 +
15 0.072 -0.69 -0.33 -0.77 -0.33 0.25 -0.18 -0.062 -0.48 -0.4 -0.2 1.4 8.7e+03 0.049 0.039 0.39 +
16 0.11 -0.65 -0.31 -0.8 -0.37 0.22 -0.22 -0.065 -0.48 -0.38 -0.2 1.4 8.7e+03 0.022 0.39 0.9 ++
17 -0.062 -0.95 -0.3 -1.1 -0.67 0.2 -0.61 -0.26 -0.81 -0.35 -0.4 1.5 8.5e+03 0.059 0.39 0.53 +
18 -0.062 -0.95 -0.3 -1.1 -0.67 0.2 -0.61 -0.26 -0.81 -0.35 -0.4 1.5 8.5e+03 0.059 0.2 -0.28 -
19 -0.062 -0.95 -0.3 -1.1 -0.67 0.2 -0.61 -0.26 -0.81 -0.35 -0.4 1.5 8.5e+03 0.059 0.098 -0.14 -
20 -0.062 -0.95 -0.3 -1.1 -0.67 0.2 -0.61 -0.26 -0.81 -0.35 -0.4 1.5 8.5e+03 0.059 0.049 -0.35 -
21 -0.013 -0.9 -0.25 -1 -0.72 0.19 -0.66 -0.27 -0.78 -0.34 -0.39 1.4 8.5e+03 0.04 0.049 0.4 +
22 -0.015 -0.91 -0.25 -1.1 -0.73 0.2 -0.61 -0.29 -0.81 -0.34 -0.41 1.4 8.5e+03 0.026 0.49 0.91 ++
23 -0.015 -0.91 -0.25 -1.1 -0.73 0.2 -0.61 -0.29 -0.81 -0.34 -0.41 1.4 8.5e+03 0.026 0.24 -0.2 -
24 0.033 -0.87 -0.24 -1.2 -0.97 0.23 -0.56 -0.32 -0.8 -0.33 -0.41 1.5 8.5e+03 0.033 0.24 0.34 +
25 0.033 -0.87 -0.24 -1.2 -0.97 0.23 -0.56 -0.32 -0.8 -0.33 -0.41 1.5 8.5e+03 0.033 0.12 -0.73 -
26 0.033 -0.87 -0.24 -1.2 -0.97 0.23 -0.56 -0.32 -0.8 -0.33 -0.41 1.5 8.5e+03 0.033 0.061 -0.5 -
27 0.033 -0.87 -0.24 -1.2 -0.97 0.23 -0.56 -0.32 -0.8 -0.33 -0.41 1.5 8.5e+03 0.033 0.031 0.043 -
28 0.0021 -0.9 -0.27 -1.3 -0.94 0.26 -0.53 -0.35 -0.83 -0.35 -0.44 1.5 8.4e+03 0.033 0.031 0.38 +
29 0.014 -0.89 -0.26 -1.3 -0.97 0.26 -0.56 -0.34 -0.82 -0.34 -0.44 1.5 8.4e+03 0.011 0.31 0.99 ++
30 -0.037 -1.1 -0.21 -1.4 -1 0.35 -0.87 -0.49 -0.97 -0.3 -0.54 1.5 8.4e+03 0.018 0.31 0.35 +
31 0.045 -1 -0.12 -1.7 -1.3 0.42 -0.73 -0.57 -1 -0.22 -0.59 1.5 8.4e+03 0.024 0.31 0.26 +
32 -0.0006 -1.2 -0.048 -1.7 -1.3 0.68 -0.87 -0.63 -1 -0.086 -0.63 1.2 8.4e+03 0.01 0.31 0.69 +
33 0.029 -1.3 -0.054 -1.6 -1.5 0.99 -0.78 -0.5 -1.1 0.17 -0.68 1.3 8.3e+03 0.0046 0.31 0.5 +
34 0.068 -1.4 0.25 -1.8 -1.5 1.1 -0.72 -0.54 -1.1 0.3 -0.63 1 8.3e+03 0.021 0.31 0.37 +
35 0.068 -1.4 0.25 -1.8 -1.5 1.1 -0.72 -0.54 -1.1 0.3 -0.63 1 8.3e+03 0.021 0.15 -0.69 -
36 0.063 -1.4 0.19 -1.8 -1.5 1.3 -0.86 -0.56 -1.1 0.31 -0.67 1.2 8.3e+03 0.0045 0.15 0.47 +
37 0.063 -1.4 0.19 -1.8 -1.5 1.3 -0.86 -0.56 -1.1 0.31 -0.67 1.2 8.3e+03 0.0045 0.076 -0.22 -
38 0.041 -1.4 0.21 -1.8 -1.6 1.3 -0.78 -0.55 -1.1 0.37 -0.66 1.1 8.3e+03 0.0074 0.076 0.58 +
39 0.025 -1.4 0.2 -1.8 -1.6 1.3 -0.82 -0.56 -1.1 0.39 -0.66 1 8.3e+03 0.0087 0.076 0.63 +
40 0.025 -1.4 0.22 -1.8 -1.6 1.3 -0.74 -0.55 -1.1 0.43 -0.66 1 8.3e+03 0.0063 0.076 0.66 +
41 0.015 -1.4 0.22 -1.9 -1.6 1.3 -0.76 -0.55 -1.1 0.43 -0.66 1 8.3e+03 0.0059 0.76 1.2 ++
42 0.015 -1.4 0.22 -1.9 -1.6 1.3 -0.76 -0.55 -1.1 0.43 -0.66 1 8.3e+03 0.0059 0.38 -3.1 -
43 0.015 -1.4 0.22 -1.9 -1.6 1.3 -0.76 -0.55 -1.1 0.43 -0.66 1 8.3e+03 0.0059 0.19 -0.88 -
44 0.033 -1.5 0.21 -1.9 -1.7 1.5 -0.86 -0.55 -1.2 0.49 -0.7 1 8.3e+03 0.0046 0.19 0.13 +
45 0.033 -1.5 0.21 -1.9 -1.7 1.5 -0.86 -0.55 -1.2 0.49 -0.7 1 8.3e+03 0.0046 0.095 -0.11 -
46 0.055 -1.5 0.28 -1.9 -1.7 1.5 -0.8 -0.56 -1.2 0.59 -0.7 1 8.3e+03 0.0037 0.095 0.57 +
47 0.055 -1.5 0.28 -1.9 -1.7 1.5 -0.8 -0.56 -1.2 0.59 -0.7 1 8.3e+03 0.0037 0.048 -0.18 -
48 0.046 -1.5 0.29 -1.9 -1.7 1.5 -0.82 -0.57 -1.2 0.55 -0.69 1 8.3e+03 0.0026 0.048 0.53 +
49 0.046 -1.5 0.29 -1.9 -1.7 1.5 -0.82 -0.57 -1.2 0.55 -0.69 1 8.3e+03 0.0026 0.024 -0.39 -
50 0.05 -1.5 0.3 -1.9 -1.7 1.5 -0.79 -0.56 -1.2 0.56 -0.69 1 8.3e+03 0.0021 0.024 0.52 +
51 0.035 -1.5 0.31 -1.9 -1.7 1.6 -0.81 -0.57 -1.2 0.59 -0.69 1 8.3e+03 0.00078 0.024 0.49 +
52 0.036 -1.5 0.32 -1.9 -1.7 1.6 -0.8 -0.57 -1.2 0.58 -0.69 1 8.3e+03 0.00069 0.024 0.57 +
53 0.036 -1.5 0.33 -1.9 -1.7 1.6 -0.8 -0.57 -1.2 0.61 -0.69 1 8.3e+03 0.00079 0.024 0.36 +
54 0.036 -1.5 0.33 -1.9 -1.7 1.6 -0.8 -0.57 -1.2 0.61 -0.69 1 8.3e+03 0.00079 0.012 -0.13 -
55 0.036 -1.5 0.33 -1.9 -1.7 1.6 -0.8 -0.57 -1.2 0.6 -0.69 1 8.3e+03 0.00029 0.012 0.62 +
56 0.037 -1.5 0.34 -1.9 -1.7 1.6 -0.8 -0.57 -1.2 0.61 -0.69 1 8.3e+03 0.00044 0.012 0.21 +
57 0.036 -1.5 0.34 -1.9 -1.7 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 0.00033 0.012 0.64 +
58 0.034 -1.5 0.34 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 0.00027 0.012 0.37 +
59 0.034 -1.5 0.34 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 0.00027 0.006 -0.95 -
60 0.036 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 6.5e-05 0.006 0.51 +
61 0.036 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 6.5e-05 0.003 -3.1 -
62 0.036 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 6.5e-05 0.0015 -0.45 -
63 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 3.6e-05 0.0015 0.89 +
64 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 2.6e-05 0.0015 0.47 +
65 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 2.6e-05 0.00075 -0.66 -
66 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 2.3e-05 0.00075 0.34 +
67 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 2.3e-05 0.00037 -0.031 -
68 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 9.9e-06 0.00037 0.79 +
69 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 1.1e-05 0.00037 0.17 +
70 0.035 -1.5 0.35 -1.9 -1.8 1.6 -0.8 -0.57 -1.2 0.62 -0.69 1 8.3e+03 5.1e-06 0.00037 0.18 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 12 unknown parameters [max: 50]
*** Estimate b07everything_000123
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.61 -
1 0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.25 0.094 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 0.067 0.25 0.59 +
3 -0.25 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 -0.25 -0.25 -0.25 1.2 9.3e+03 0.067 0.12 -0.33 -
4 -0.38 -0.12 -0.12 -0.38 -0.38 -0.38 0.12 0.38 -0.12 -0.38 -0.12 1.4 9.2e+03 0.067 0.12 0.35 +
5 -0.25 0 -0.12 -0.5 -0.4 -0.41 0.091 0.25 -0.25 -0.39 -0.25 1.3 9e+03 0.047 0.12 0.81 +
6 -0.37 0.013 -0.11 -0.62 -0.41 -0.53 -0.034 0.27 -0.24 -0.39 -0.2 1.4 8.8e+03 0.039 0.12 0.71 +
7 -0.26 0.14 -0.1 -0.7 -0.4 -0.53 -0.16 0.14 -0.3 -0.4 -0.29 1.3 8.7e+03 0.041 0.12 0.68 +
8 -0.39 0.11 -0.098 -0.83 -0.41 -0.66 -0.23 0.16 -0.28 -0.4 -0.25 1.4 8.7e+03 0.039 0.12 0.62 +
9 -0.29 0.23 -0.088 -0.84 -0.4 -0.67 -0.35 0.09 -0.3 -0.41 -0.29 1.4 8.6e+03 0.037 0.12 0.7 +
10 -0.33 0.25 -0.079 -0.96 -0.4 -0.79 -0.32 0.015 -0.32 -0.41 -0.34 1.4 8.6e+03 0.061 0.12 0.38 +
11 -0.31 0.3 -0.07 -0.96 -0.39 -0.84 -0.45 0.032 -0.29 -0.41 -0.3 1.4 8.5e+03 0.018 0.12 0.81 +
12 -0.29 0.37 -0.049 -1 -0.38 -0.96 -0.48 -0.074 -0.31 -0.42 -0.36 1.4 8.5e+03 0.028 0.12 0.72 +
13 -0.3 0.41 -0.029 -1.1 -0.36 -1.1 -0.61 -0.084 -0.27 -0.43 -0.33 1.5 8.5e+03 0.02 0.12 0.59 +
14 -0.31 0.42 -0.0021 -1.1 -0.34 -1.2 -0.61 -0.17 -0.26 -0.44 -0.37 1.5 8.4e+03 0.024 0.12 0.55 +
15 -0.31 0.42 -0.0021 -1.1 -0.34 -1.2 -0.61 -0.17 -0.26 -0.44 -0.37 1.5 8.4e+03 0.024 0.062 -0.72 -
16 -0.31 0.42 -0.0021 -1.1 -0.34 -1.2 -0.61 -0.17 -0.26 -0.44 -0.37 1.5 8.4e+03 0.024 0.031 0.089 -
17 -0.28 0.45 0.005 -1.1 -0.34 -1.2 -0.65 -0.17 -0.25 -0.44 -0.36 1.4 8.4e+03 0.013 0.031 0.65 +
18 -0.29 0.44 0.014 -1.1 -0.33 -1.2 -0.64 -0.19 -0.25 -0.44 -0.37 1.5 8.4e+03 0.0097 0.31 0.93 ++
19 -0.33 0.44 0.14 -1.1 -0.27 -1.5 -0.9 -0.38 -0.14 -0.48 -0.41 1.4 8.4e+03 0.03 0.31 0.12 +
20 -0.33 0.44 0.14 -1.1 -0.27 -1.5 -0.9 -0.38 -0.14 -0.48 -0.41 1.4 8.4e+03 0.03 0.16 -1 -
21 -0.33 0.44 0.14 -1.1 -0.27 -1.5 -0.9 -0.38 -0.14 -0.48 -0.41 1.4 8.4e+03 0.03 0.078 -0.5 -
22 -0.28 0.48 0.15 -1.1 -0.26 -1.5 -0.83 -0.46 -0.17 -0.48 -0.48 1.4 8.4e+03 0.017 0.078 0.24 +
23 -0.3 0.51 0.2 -1.1 -0.24 -1.6 -0.78 -0.4 -0.1 -0.49 -0.41 1.4 8.4e+03 0.012 0.078 0.46 +
24 -0.32 0.49 0.22 -1.1 -0.24 -1.6 -0.86 -0.42 -0.12 -0.49 -0.42 1.3 8.4e+03 0.012 0.078 0.42 +
25 -0.32 0.49 0.22 -1.1 -0.24 -1.6 -0.86 -0.42 -0.12 -0.49 -0.42 1.3 8.4e+03 0.012 0.039 -0.084 -
26 -0.36 0.48 0.26 -1.1 -0.24 -1.6 -0.85 -0.43 -0.13 -0.5 -0.43 1.3 8.4e+03 0.0054 0.039 0.47 +
27 -0.36 0.48 0.26 -1.1 -0.24 -1.6 -0.85 -0.43 -0.13 -0.5 -0.43 1.3 8.4e+03 0.0054 0.02 -0.42 -
28 -0.34 0.5 0.27 -1.1 -0.24 -1.6 -0.85 -0.43 -0.13 -0.5 -0.43 1.3 8.4e+03 0.0034 0.02 0.6 +
29 -0.35 0.52 0.29 -1.1 -0.23 -1.6 -0.84 -0.42 -0.12 -0.51 -0.41 1.3 8.4e+03 0.0025 0.02 0.84 +
30 -0.35 0.52 0.29 -1.1 -0.23 -1.6 -0.84 -0.42 -0.12 -0.51 -0.41 1.3 8.4e+03 0.0025 0.0098 -0.77 -
31 -0.35 0.52 0.29 -1.1 -0.23 -1.6 -0.84 -0.42 -0.12 -0.51 -0.41 1.3 8.4e+03 0.0025 0.0049 -0.32 -
32 -0.35 0.52 0.29 -1.1 -0.23 -1.6 -0.83 -0.42 -0.13 -0.51 -0.42 1.3 8.4e+03 0.0026 0.0049 0.41 +
33 -0.36 0.52 0.29 -1.1 -0.23 -1.6 -0.84 -0.42 -0.12 -0.51 -0.42 1.3 8.4e+03 0.00087 0.049 0.96 ++
34 -0.39 0.54 0.34 -1.2 -0.22 -1.6 -0.84 -0.42 -0.12 -0.52 -0.42 1.3 8.4e+03 0.0017 0.049 0.88 +
35 -0.41 0.58 0.39 -1.2 -0.21 -1.6 -0.83 -0.41 -0.11 -0.53 -0.41 1.2 8.4e+03 0.0042 0.049 0.3 +
36 -0.45 0.6 0.44 -1.2 -0.2 -1.6 -0.82 -0.41 -0.12 -0.54 -0.39 1.2 8.4e+03 0.0012 0.049 0.75 +
37 -0.45 0.6 0.44 -1.2 -0.2 -1.6 -0.82 -0.41 -0.12 -0.54 -0.39 1.2 8.4e+03 0.0012 0.024 -1.3 -
38 -0.47 0.6 0.46 -1.2 -0.2 -1.6 -0.84 -0.41 -0.12 -0.55 -0.4 1.2 8.4e+03 0.0014 0.024 0.24 +
39 -0.47 0.62 0.47 -1.2 -0.2 -1.6 -0.82 -0.4 -0.11 -0.55 -0.4 1.2 8.4e+03 0.0017 0.024 0.48 +
40 -0.49 0.62 0.49 -1.2 -0.2 -1.6 -0.83 -0.4 -0.11 -0.55 -0.4 1.2 8.4e+03 0.00088 0.24 0.95 ++
41 -0.49 0.62 0.49 -1.2 -0.2 -1.6 -0.83 -0.4 -0.11 -0.55 -0.4 1.2 8.4e+03 0.00088 0.11 -3.6 -
42 -0.49 0.62 0.49 -1.2 -0.2 -1.6 -0.83 -0.4 -0.11 -0.55 -0.4 1.2 8.4e+03 0.00088 0.054 -0.84 -
43 -0.53 0.67 0.54 -1.2 -0.18 -1.7 -0.83 -0.4 -0.13 -0.56 -0.39 1.1 8.4e+03 0.002 0.054 0.17 +
44 -0.53 0.67 0.54 -1.2 -0.18 -1.7 -0.83 -0.4 -0.13 -0.56 -0.39 1.1 8.4e+03 0.002 0.027 -0.2 -
45 -0.53 0.67 0.55 -1.2 -0.18 -1.7 -0.83 -0.39 -0.1 -0.56 -0.39 1.1 8.4e+03 0.0009 0.027 0.82 +
46 -0.53 0.67 0.55 -1.2 -0.18 -1.7 -0.83 -0.39 -0.1 -0.56 -0.39 1.1 8.4e+03 0.0009 0.014 -1.8 -
47 -0.53 0.67 0.55 -1.2 -0.18 -1.7 -0.83 -0.39 -0.1 -0.56 -0.39 1.1 8.4e+03 0.0009 0.0068 -1 -
48 -0.54 0.67 0.55 -1.2 -0.18 -1.7 -0.83 -0.39 -0.11 -0.56 -0.39 1.1 8.4e+03 0.00085 0.0068 0.11 +
49 -0.54 0.67 0.55 -1.2 -0.18 -1.7 -0.83 -0.39 -0.11 -0.56 -0.39 1.1 8.4e+03 0.00079 0.0068 0.66 +
50 -0.55 0.67 0.56 -1.2 -0.18 -1.7 -0.83 -0.39 -0.11 -0.56 -0.39 1.1 8.4e+03 0.0003 0.0068 0.82 +
51 -0.56 0.68 0.56 -1.2 -0.18 -1.7 -0.83 -0.39 -0.11 -0.56 -0.39 1.1 8.4e+03 0.00055 0.0068 0.82 +
52 -0.56 0.69 0.57 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00027 0.0068 0.74 +
53 -0.57 0.68 0.57 -1.2 -0.17 -1.7 -0.83 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00033 0.0068 0.75 +
54 -0.57 0.69 0.58 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00031 0.0068 0.79 +
55 -0.58 0.69 0.58 -1.2 -0.17 -1.7 -0.83 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00025 0.0068 0.5 +
56 -0.58 0.7 0.59 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.068 0.95 ++
57 -0.58 0.7 0.59 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.034 -9.9 -
58 -0.58 0.7 0.59 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.017 -2.9 -
59 -0.58 0.7 0.59 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.0085 -0.81 -
60 -0.58 0.7 0.59 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.0043 -0.12 -
61 -0.59 0.7 0.59 -1.2 -0.17 -1.7 -0.83 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00026 0.0043 0.46 +
62 -0.59 0.7 0.6 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.043 0.99 ++
63 -0.59 0.7 0.6 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.021 -1.5 -
64 -0.59 0.7 0.6 -1.2 -0.17 -1.7 -0.82 -0.39 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00012 0.011 -0.17 -
65 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.83 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00026 0.011 0.42 +
66 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.83 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00026 0.0053 -0.44 -
67 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.82 -0.38 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00018 0.0053 0.6 +
68 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.82 -0.38 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00018 0.0027 0.039 -
69 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.82 -0.38 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00028 0.0027 0.44 +
70 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.82 -0.38 -0.11 -0.56 -0.38 1.1 8.4e+03 0.00028 0.0013 -0.47 -
71 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00018 0.0013 0.13 +
72 -0.6 0.71 0.61 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 7.2e-05 0.013 0.93 ++
73 -0.62 0.72 0.62 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00022 0.013 0.74 +
74 -0.62 0.72 0.62 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00022 0.0066 -4.8 -
75 -0.62 0.72 0.62 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00022 0.0033 -1.2 -
76 -0.62 0.72 0.62 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00022 0.0017 0.099 -
77 -0.61 0.72 0.62 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00012 0.0017 0.75 +
78 -0.61 0.72 0.62 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 0.00012 0.00083 0.07 -
79 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 4.2e-05 0.0083 0.91 ++
80 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 4.2e-05 0.0042 -0.36 -
81 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 4.2e-05 0.0021 -2.1 -
82 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 4.2e-05 0.001 -0.11 -
83 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 2.6e-05 0.001 0.45 +
84 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 2.7e-05 0.001 0.56 +
85 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 2.7e-05 0.00052 -0.78 -
86 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 3.2e-05 0.00052 0.23 +
87 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.56 -0.38 1.1 8.4e+03 1.8e-05 0.00052 0.58 +
88 -0.62 0.72 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.55 -0.38 1.1 8.4e+03 1.2e-05 0.00052 0.66 +
89 -0.62 0.73 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.55 -0.38 1.1 8.4e+03 8.1e-06 0.00052 0.7 +
90 -0.62 0.73 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.55 -0.38 1.1 8.4e+03 1.1e-05 0.00052 0.81 +
91 -0.62 0.73 0.63 -1.2 -0.16 -1.7 -0.82 -0.38 -0.1 -0.55 -0.38 1.1 8.4e+03 5.9e-06 0.00052 0.76 +
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 62/100
Biogeme parameters read from biogeme.toml.
Model with 10 unknown parameters [max: 50]
*** Estimate b07everything_000124
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train square_tt_coef cube_tt_coef b_cost b_time_swissmet asc_car_ref asc_car_diff_GA b_time_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.4 0.5 -0.16 -
1 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.5 0.8 +
2 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.25 -10 -
3 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.12 -12 -
4 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.062 -14 -
5 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.031 -16 -
6 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.016 -4.8 -
7 -0.29 0.016 -0.52 0.017 -0.0029 -0.054 0.19 -0.0082 -0.038 -0.015 9.5e+03 5.4 0.016 0.33 +
8 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.016 0.58 +
9 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.0078 -3.9 -
10 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.0039 -4.6 -
11 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.002 -1.4 -
12 -0.29 0.021 -0.53 0.021 -0.00064 -0.062 0.19 -0.015 -0.042 -0.032 9.4e+03 0.079 0.002 0.86 +
13 -0.29 0.021 -0.53 0.022 -0.00017 -0.064 0.19 -0.016 -0.043 -0.034 9.4e+03 0.19 0.02 1 ++
14 -0.29 0.028 -0.54 0.03 -0.00099 -0.077 0.19 -0.025 -0.047 -0.054 9.3e+03 0.55 0.2 0.96 ++
15 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.2 0.71 +
16 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.098 -8.6 -
17 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.049 -8.9 -
18 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.024 -11 -
19 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.012 -5.2 -
20 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.0061 -3.4 -
21 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.0031 -2.1 -
22 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.0015 -0.6 -
23 -0.33 0.11 -0.63 0.11 -0.0014 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.3 0.0015 0.37 +
24 -0.33 0.11 -0.63 0.11 -0.0005 -0.23 0.17 -0.1 -0.1 -0.25 9.1e+03 2.5 0.0015 0.59 +
25 -0.33 0.11 -0.63 0.11 -0.0005 -0.23 0.17 -0.1 -0.1 -0.25 9.1e+03 2.5 0.00076 -0.79 -
26 -0.33 0.11 -0.63 0.11 -0.0005 -0.23 0.17 -0.1 -0.1 -0.25 9.1e+03 2.5 0.00038 0.034 -
27 -0.33 0.11 -0.63 0.11 -0.00088 -0.23 0.16 -0.1 -0.1 -0.25 9.1e+03 0.99 0.00038 0.57 +
28 -0.33 0.11 -0.63 0.11 -0.00074 -0.23 0.16 -0.1 -0.1 -0.25 9.1e+03 0.68 0.00038 0.77 +
29 -0.33 0.11 -0.63 0.11 -0.00079 -0.23 0.16 -0.1 -0.1 -0.25 9.1e+03 0.1 0.0038 1 ++
30 -0.33 0.11 -0.63 0.11 -0.00071 -0.24 0.16 -0.1 -0.1 -0.24 9.1e+03 0.91 0.038 1 ++
31 -0.33 0.12 -0.63 0.094 -0.00069 -0.25 0.12 -0.092 -0.11 -0.23 9.1e+03 0.076 0.38 1 ++
32 -0.36 0.3 -0.73 0.19 -0.00093 -0.52 -0.26 -0.071 -0.2 -0.27 8.7e+03 1.9 0.38 0.82 +
33 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.38 0.51 +
34 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.19 -5.4 -
35 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.095 -6 -
36 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.048 -7.1 -
37 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.024 -5.2 -
38 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.012 -4.1 -
39 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.006 -3.5 -
40 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.003 -3.1 -
41 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.0015 -2.7 -
42 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.00075 -1.9 -
43 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.00037 -0.5 -
44 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.0037 0.99 ++
45 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.0019 -0.021 -
46 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00093 -0.62 -
47 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00047 -1.3 -
48 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00023 -1.9 -
49 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00012 -2.3 -
50 -0.38 0.6 -0.74 0.5 -0.0023 -0.7 -0.64 -0.17 -0.34 -0.54 8.6e+03 2.8 0.00012 0.2 +
51 -0.38 0.6 -0.74 0.5 -0.0023 -0.7 -0.64 -0.17 -0.34 -0.54 8.6e+03 0.23 0.0012 1 ++
52 -0.38 0.6 -0.74 0.5 -0.0023 -0.7 -0.64 -0.17 -0.34 -0.54 8.6e+03 0.071 0.012 1 ++
53 -0.38 0.61 -0.74 0.49 -0.0023 -0.7 -0.64 -0.17 -0.35 -0.53 8.6e+03 0.29 0.12 1 ++
54 -0.42 0.65 -0.76 0.37 -0.0018 -0.71 -0.59 -0.19 -0.37 -0.47 8.5e+03 0.043 1.2 1 ++
55 -0.42 0.65 -0.76 0.37 -0.0018 -0.71 -0.59 -0.19 -0.37 -0.47 8.5e+03 0.043 0.58 -3 -
56 -0.81 1.2 -0.95 -0.036 -0.00013 -0.71 -0.78 -0.46 -0.64 -0.59 8.4e+03 1.6 0.58 0.35 +
57 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 5.8 0.98 ++
58 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 2.9 -2.5e+02 -
59 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 1.5 -1e+02 -
60 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 0.73 -32 -
61 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 0.36 -6.3 -
62 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 0.18 -0.66 -
63 -0.97 1.5 -1.7 -0.089 0.00011 -0.71 -1.5 -0.41 -0.82 -1.2 8.2e+03 6 0.18 0.61 +
64 -0.93 1.5 -1.7 -0.07 3.2e-05 -0.73 -1.7 -0.42 -0.86 -1.3 8.2e+03 1.2 1.8 1 ++
65 -0.93 1.5 -1.7 -0.07 3.2e-05 -0.73 -1.7 -0.42 -0.86 -1.3 8.2e+03 1.2 0.45 -0.99 -
66 -0.93 1.6 -2.2 -0.11 0.00023 -0.72 -2.2 -0.48 -0.99 -1.6 8.2e+03 8.7 0.45 0.68 +
67 -0.6 1.5 -2.5 -0.1 0.0002 -0.74 -2.4 -0.42 -1 -1.8 8.2e+03 2.5 4.5 0.91 ++
68 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 0.077 45 0.98 ++
69 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 0.00085 4.5e+02 1 ++
70 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 0.0011 4.5e+03 1 ++
71 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 2.8e-08 4.5e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:power [8169.510692478746, 10]
Attempt 63/100
Considering neighbor 0/20 for current solution
Attempt 64/100
Considering neighbor 0/20 for current solution
Attempt 65/100
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000125
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.55 0.5 -1.1 -
1 1.1e+04 0.55 0.25 -0.64 -
2 1.1e+04 0.55 0.12 -0.18 -
3 9.8e+03 4.4 0.12 0.26 +
4 9.8e+03 4.4 0.062 0.26 -
5 9.8e+03 4.4 0.031 -2.2 -
6 9.8e+03 4.4 0.016 -1.1 -
7 9.8e+03 4.4 0.0078 -0.75 -
8 9.8e+03 4.4 0.0039 -0.49 -
9 9.8e+03 4.4 0.002 -0.19 -
10 9.8e+03 2.8 0.002 0.15 +
11 9.8e+03 1.2 0.02 1.2 ++
12 9.7e+03 0.24 0.2 0.94 ++
13 9.7e+03 0.24 0.098 -0.7 -
14 9.7e+03 0.24 0.049 0.088 -
15 9.6e+03 4.7 0.049 0.19 +
16 9.3e+03 0.86 0.049 0.66 +
17 9.2e+03 1.2 0.049 0.73 +
18 9.2e+03 1.2 0.024 -7.5 -
19 9.2e+03 1.2 0.012 -5 -
20 9.2e+03 1.2 0.0061 -3.6 -
21 9.2e+03 1.2 0.0031 -2.3 -
22 9.2e+03 1.2 0.0015 -0.71 -
23 9.2e+03 1 0.0015 0.5 +
24 9.2e+03 0.51 0.0015 0.71 +
25 9.2e+03 0.099 0.015 1 ++
26 9.2e+03 0.98 0.15 0.94 ++
27 9.2e+03 0.98 0.076 -0.0081 -
28 9.1e+03 5.2 0.076 0.48 +
29 8.9e+03 1.3 0.076 0.88 +
30 8.8e+03 1.4 0.076 0.83 +
31 8.7e+03 1.1 0.076 0.89 +
32 8.6e+03 0.039 0.76 0.93 ++
33 8.6e+03 0.039 0.38 -3.2 -
34 8.6e+03 0.039 0.19 -0.82 -
35 8.5e+03 3.1 0.19 0.35 +
36 8.5e+03 3.1 0.095 -1.6 -
37 8.5e+03 3.1 0.048 -1.1 -
38 8.5e+03 3.1 0.024 -0.41 -
39 8.5e+03 3.1 0.012 -0.55 -
40 8.5e+03 3.1 0.006 -0.99 -
41 8.5e+03 3.1 0.003 -1.5 -
42 8.5e+03 3.1 0.0015 -2 -
43 8.5e+03 3.1 0.00075 -1.3 -
44 8.5e+03 3.1 0.00037 -0.43 -
45 8.5e+03 2.7 0.00037 0.68 +
46 8.5e+03 2.7 0.00019 0.058 -
47 8.5e+03 2.7 9.3e-05 -0.12 -
48 8.5e+03 1 9.3e-05 0.45 +
49 8.5e+03 0.27 0.00093 1.1 ++
50 8.5e+03 0.2 0.0093 1 ++
51 8.5e+03 0.75 0.093 0.98 ++
52 8.4e+03 0.77 0.093 0.46 +
53 8.4e+03 0.77 0.047 -0.61 -
54 8.4e+03 0.81 0.047 0.39 +
55 8.4e+03 0.046 0.047 0.11 +
56 8.4e+03 1.1 0.047 0.57 +
57 8.4e+03 1.1 0.023 -0.63 -
58 8.4e+03 0.59 0.023 0.44 +
59 8.4e+03 0.25 0.023 0.78 +
60 8.4e+03 0.26 0.023 0.86 +
61 8.4e+03 0.29 0.23 0.94 ++
62 8.4e+03 6.2 0.23 0.14 +
63 8.4e+03 6.2 0.12 -0.034 -
64 8.3e+03 2 0.12 0.37 +
65 8.3e+03 3.6 0.12 0.36 +
66 8.3e+03 7.7 0.12 0.19 +
67 8.3e+03 7.7 0.058 -1.3 -
68 8.3e+03 3.7 0.058 0.36 +
69 8.3e+03 3.7 0.029 -1.6 -
70 8.3e+03 5.7 0.029 0.4 +
71 8.3e+03 8.3 0.029 0.55 +
72 8.3e+03 4.6 0.029 0.22 +
73 8.3e+03 4.4 0.029 0.75 +
74 8.3e+03 2.5 0.29 1.2 ++
75 8.2e+03 15 0.29 0.46 +
76 8.2e+03 15 0.15 -3.8 -
77 8.2e+03 15 0.073 -3.6 -
78 8.2e+03 15 0.036 -2.2 -
79 8.2e+03 15 0.018 -0.38 -
80 8.2e+03 15 0.0091 -0.3 -
81 8.2e+03 15 0.0045 -0.55 -
82 8.2e+03 15 0.0023 -0.83 -
83 8.2e+03 15 0.0011 -1 -
84 8.2e+03 15 0.00057 -1.2 -
85 8.2e+03 15 0.00028 -1.3 -
86 8.2e+03 15 0.00014 -1.3 -
87 8.2e+03 15 7.1e-05 -0.55 -
88 8.2e+03 15 3.6e-05 0.061 -
89 8.2e+03 0.45 3.6e-05 0.6 +
90 8.2e+03 0.16 0.00036 0.99 ++
91 8.2e+03 0.13 0.0036 1 ++
92 8.2e+03 0.33 0.036 1 ++
93 8.2e+03 0.75 0.036 0.71 +
94 8.2e+03 8 0.036 0.17 +
95 8.2e+03 4.8 0.036 0.87 +
96 8.2e+03 4.7 0.036 0.46 +
97 8.2e+03 0.88 0.36 0.93 ++
98 8.2e+03 0.88 0.18 -1.4 -
99 8.2e+03 5.9 0.18 0.49 +
100 8.2e+03 9.3 0.18 0.4 +
101 8.2e+03 9.3 0.089 -3 -
102 8.2e+03 9.3 0.044 -0.52 -
103 8.2e+03 2.1 0.044 0.23 +
104 8.2e+03 2.1 0.022 -0.37 -
105 8.2e+03 10 0.022 0.11 +
106 8.2e+03 8.5 0.022 0.47 +
107 8.2e+03 1 0.022 0.6 +
108 8.2e+03 0.94 0.022 0.54 +
109 8.2e+03 0.94 0.011 -0.0083 -
110 8.2e+03 4.2 0.011 0.32 +
111 8.2e+03 4.1 0.011 0.13 +
112 8.2e+03 1.2 0.011 0.8 +
113 8.2e+03 0.34 0.011 0.88 +
114 8.2e+03 0.93 0.011 0.59 +
115 8.2e+03 0.92 0.11 0.91 ++
116 8.2e+03 0.92 0.056 -0.091 -
117 8.2e+03 0.072 0.056 0.46 +
118 8.2e+03 0.072 0.028 -4.9 -
119 8.2e+03 0.072 0.014 0.046 -
120 8.2e+03 3.1 0.014 0.82 +
121 8.2e+03 3.1 0.0069 -1 -
122 8.2e+03 0.022 0.0069 0.22 +
123 8.2e+03 0.022 0.0035 -0.47 -
124 8.2e+03 2.7 0.0035 0.31 +
125 8.2e+03 1.5 0.0035 0.45 +
126 8.2e+03 0.39 0.0035 0.46 +
127 8.2e+03 0.046 0.035 0.95 ++
128 8.2e+03 0.26 0.035 0.84 +
129 8.2e+03 1.7 0.035 0.5 +
130 8.2e+03 1.7 0.017 -2.1 -
131 8.2e+03 1.7 0.0087 0.017 -
132 8.2e+03 0.7 0.0087 0.72 +
133 8.2e+03 0.053 0.0087 0.41 +
134 8.2e+03 0.14 0.0087 0.82 +
135 8.2e+03 0.14 0.0043 -0.47 -
136 8.2e+03 0.14 0.0043 0.47 +
137 8.2e+03 0.16 0.0043 0.73 +
138 8.2e+03 0.092 0.0043 0.78 +
139 8.2e+03 0.013 0.043 0.95 ++
140 8.2e+03 0.029 0.043 0.6 +
141 8.2e+03 0.029 0.022 -2.1 -
142 8.2e+03 0.029 0.011 -1.1 -
143 8.2e+03 0.029 0.0054 0.093 -
144 8.2e+03 1.1 0.0054 0.63 +
145 8.2e+03 1.1 0.0027 -0.35 -
146 8.2e+03 0.55 0.0027 0.32 +
147 8.2e+03 0.32 0.0027 0.61 +
148 8.2e+03 0.32 0.0014 -0.071 -
149 8.2e+03 0.089 0.0014 0.87 +
150 8.2e+03 0.11 0.0014 0.68 +
151 8.2e+03 0.056 0.0014 0.81 +
152 8.2e+03 0.15 0.0014 0.71 +
153 8.2e+03 0.03 0.0014 0.43 +
154 8.2e+03 0.024 0.0014 0.54 +
155 8.2e+03 0.0053 0.0014 0.49 +
156 8.2e+03 0.0074 0.0014 0.56 +
157 8.2e+03 0.085 0.0014 0.52 +
158 8.2e+03 0.039 0.0014 0.77 +
159 8.2e+03 0.063 0.014 0.94 ++
160 8.2e+03 0.063 0.0068 -0.26 -
161 8.2e+03 0.063 0.0034 0.068 -
162 8.2e+03 0.063 0.0017 -0.0031 -
163 8.2e+03 0.16 0.0017 0.55 +
164 8.2e+03 0.043 0.0017 0.68 +
165 8.2e+03 0.029 0.0017 0.63 +
166 8.2e+03 0.029 0.00085 -1.2 -
167 8.2e+03 0.0045 0.00085 0.42 +
168 8.2e+03 0.018 0.00085 0.79 +
169 8.2e+03 0.018 0.00042 -1.3 -
170 8.2e+03 0.0061 0.00042 0.24 +
171 8.2e+03 0.092 0.00042 0.43 +
172 8.2e+03 0.039 0.00042 0.59 +
173 8.2e+03 0.039 0.00021 -0.29 -
174 8.2e+03 0.053 0.00021 0.51 +
175 8.2e+03 0.012 0.00021 0.85 +
176 8.2e+03 0.0027 0.00021 0.9 +
177 8.2e+03 0.0016 0.00021 0.84 +
178 8.2e+03 0.026 0.00021 0.87 +
179 8.2e+03 0.0029 0.0021 0.93 ++
180 8.2e+03 0.012 0.0021 0.47 +
181 8.2e+03 0.012 0.0011 -8 -
182 8.2e+03 0.012 0.00053 -6 -
183 8.2e+03 0.012 0.00026 -1.1 -
184 8.2e+03 0.039 0.00026 0.19 +
185 8.2e+03 0.0068 0.00026 0.82 +
186 8.2e+03 0.0068 0.00013 -0.039 -
187 8.2e+03 0.0085 0.00013 0.22 +
188 8.2e+03 0.0085 6.6e-05 -0.17 -
189 8.2e+03 0.0045 6.6e-05 0.4 +
190 8.2e+03 0.00087 6.6e-05 0.27 +
191 8.2e+03 0.0017 6.6e-05 0.59 +
192 8.2e+03 0.0017 3.3e-05 -0.17 -
193 8.2e+03 0.0017 3.3e-05 0.3 +
194 8.2e+03 0.00015 3.3e-05 0.86 +
195 8.2e+03 0.00059 3.3e-05 0.32 +
196 8.2e+03 0.00024 3.3e-05 0.73 +
197 8.2e+03 0.00024 1.7e-05 -0.33 -
198 8.2e+03 0.002 1.7e-05 0.62 +
199 8.2e+03 0.0001 1.7e-05 0.88 +
200 8.2e+03 0.00081 1.7e-05 0.32 +
201 8.2e+03 0.00033 1.7e-05 0.51 +
202 8.2e+03 0.00033 8.3e-06 -1.2 -
203 8.2e+03 0.00033 4.1e-06 0.091 -
204 8.2e+03 1.6e-06 4.1e-06 0.52 -
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 66/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000126
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.5 -0.63 -
1 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.28 0.25 -0.1 -
2 -0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 -0.25 2 9.6e+03 0.15 0.25 0.38 +
3 -0.2 0 -0.25 -0.5 -0.37 0 0 -0.26 2 8.9e+03 0.11 0.25 0.69 +
4 -0.45 -0.25 -0.25 -0.75 -0.56 0.16 -0.14 -0.28 2.2 8.7e+03 0.084 0.25 0.22 +
5 -0.37 -0.013 -0.23 -0.95 -0.61 -0.082 -0.39 -0.29 2.2 8.7e+03 0.11 0.25 0.11 +
6 -0.43 0.11 -0.21 -0.95 -0.66 0.17 -0.25 -0.31 2.2 8.5e+03 0.011 0.25 0.8 +
7 -0.43 0.11 -0.21 -0.95 -0.66 0.17 -0.25 -0.31 2.2 8.5e+03 0.011 0.12 -0.11 -
8 -0.43 0.24 -0.17 -0.98 -0.54 0.13 -0.17 -0.35 2.1 8.5e+03 0.015 0.12 0.43 +
9 -0.43 0.24 -0.17 -0.98 -0.54 0.13 -0.17 -0.35 2.1 8.5e+03 0.015 0.062 -0.72 -
10 -0.43 0.24 -0.17 -0.98 -0.54 0.13 -0.17 -0.35 2.1 8.5e+03 0.015 0.031 -0.28 -
11 -0.46 0.22 -0.16 -0.99 -0.56 0.16 -0.14 -0.35 2.1 8.5e+03 0.016 0.031 0.14 +
12 -0.46 0.24 -0.15 -0.99 -0.58 0.13 -0.15 -0.36 2.1 8.5e+03 0.0058 0.31 0.9 ++
13 -0.46 0.24 -0.15 -0.99 -0.58 0.13 -0.15 -0.36 2.1 8.5e+03 0.0058 0.16 -0.18 -
14 -0.61 0.34 -0.057 -1 -0.65 0.054 -0.082 -0.44 2.1 8.5e+03 0.012 0.16 0.35 +
15 -0.61 0.34 -0.057 -1 -0.65 0.054 -0.082 -0.44 2.1 8.5e+03 0.012 0.078 0.054 -
16 -0.6 0.41 -0.018 -0.95 -0.64 0.023 -0.064 -0.46 2.1 8.5e+03 0.017 0.078 0.21 +
17 -0.63 0.42 0.018 -0.94 -0.56 0.052 -0.011 -0.48 2.1 8.5e+03 0.012 0.078 0.25 +
18 -0.63 0.42 0.018 -0.94 -0.56 0.052 -0.011 -0.48 2.1 8.5e+03 0.012 0.039 -0.49 -
19 -0.64 0.42 0.029 -0.97 -0.57 0.013 -0.039 -0.49 2.1 8.5e+03 0.0058 0.039 0.56 +
20 -0.65 0.43 0.042 -0.96 -0.61 0.032 -0.03 -0.49 2.1 8.5e+03 0.0041 0.039 0.5 +
21 -0.65 0.43 0.042 -0.96 -0.61 0.032 -0.03 -0.49 2.1 8.5e+03 0.0041 0.02 -0.21 -
22 -0.66 0.44 0.061 -0.96 -0.62 0.015 -0.039 -0.5 2.1 8.5e+03 0.0053 0.02 0.11 +
23 -0.67 0.44 0.081 -0.98 -0.6 0.015 -0.032 -0.51 2.1 8.5e+03 0.0029 0.02 0.54 +
24 -0.67 0.45 0.096 -0.96 -0.61 0.03 -0.02 -0.52 2 8.5e+03 0.0045 0.02 0.18 +
25 -0.68 0.46 0.12 -0.97 -0.6 0.015 -0.025 -0.52 2 8.5e+03 0.0012 0.02 0.86 +
26 -0.69 0.47 0.13 -0.97 -0.62 0.019 -0.023 -0.53 2 8.5e+03 0.0013 0.02 0.74 +
27 -0.7 0.47 0.15 -0.98 -0.62 0.012 -0.024 -0.53 2 8.5e+03 0.0017 0.02 0.59 +
28 -0.7 0.48 0.17 -0.97 -0.61 0.018 -0.016 -0.54 2 8.5e+03 0.0015 0.02 0.54 +
29 -0.71 0.48 0.19 -0.98 -0.62 0.012 -0.02 -0.54 2 8.5e+03 0.00066 0.02 0.87 +
30 -0.71 0.49 0.21 -0.97 -0.62 0.018 -0.015 -0.54 2 8.5e+03 0.0017 0.02 0.51 +
31 -0.72 0.49 0.23 -0.98 -0.61 0.011 -0.016 -0.54 2 8.5e+03 0.0011 0.02 0.66 +
32 -0.73 0.5 0.25 -0.98 -0.63 0.014 -0.017 -0.54 2 8.5e+03 0.0013 0.02 0.28 +
33 -0.73 0.5 0.25 -0.98 -0.63 0.014 -0.017 -0.54 2 8.5e+03 0.0013 0.0098 -0.37 -
34 -0.73 0.5 0.25 -0.98 -0.62 0.011 -0.017 -0.54 2 8.5e+03 0.00039 0.098 0.95 ++
35 -0.73 0.5 0.25 -0.98 -0.62 0.011 -0.017 -0.54 2 8.5e+03 0.00039 0.049 -2.6 -
36 -0.73 0.5 0.25 -0.98 -0.62 0.011 -0.017 -0.54 2 8.5e+03 0.00039 0.024 -2.8 -
37 -0.73 0.5 0.25 -0.98 -0.62 0.011 -0.017 -0.54 2 8.5e+03 0.00039 0.012 -1.7 -
38 -0.73 0.5 0.25 -0.98 -0.62 0.011 -0.017 -0.54 2 8.5e+03 0.00039 0.0061 -0.065 -
39 -0.73 0.5 0.26 -0.98 -0.62 0.014 -0.014 -0.53 2 8.5e+03 0.00067 0.0061 0.52 +
40 -0.73 0.5 0.26 -0.98 -0.62 0.011 -0.015 -0.53 2 8.5e+03 0.0006 0.0061 0.83 +
41 -0.73 0.51 0.27 -0.98 -0.62 0.012 -0.014 -0.53 2 8.5e+03 0.00053 0.0061 0.79 +
42 -0.73 0.51 0.28 -0.98 -0.62 0.01 -0.015 -0.53 2 8.5e+03 0.00044 0.0061 0.82 +
43 -0.73 0.51 0.28 -0.98 -0.62 0.011 -0.014 -0.52 2 8.5e+03 0.00069 0.0061 0.86 +
44 -0.74 0.51 0.29 -0.99 -0.62 0.0098 -0.014 -0.52 2 8.5e+03 0.00038 0.061 0.91 ++
45 -0.75 0.52 0.35 -0.99 -0.63 0.0087 -0.0099 -0.48 1.9 8.5e+03 0.00089 0.061 0.6 +
46 -0.75 0.52 0.37 -0.99 -0.63 0.0094 -0.013 -0.42 2 8.5e+03 0.00064 0.061 0.14 +
47 -0.75 0.52 0.37 -0.99 -0.63 0.0094 -0.013 -0.42 2 8.5e+03 0.00064 0.031 -15 -
48 -0.75 0.52 0.37 -0.99 -0.63 0.0094 -0.013 -0.42 2 8.5e+03 0.00064 0.015 -4.8 -
49 -0.75 0.52 0.37 -0.99 -0.63 0.0094 -0.013 -0.42 2 8.5e+03 0.00064 0.0076 -1 -
50 -0.75 0.52 0.37 -0.99 -0.62 0.0031 -0.0052 -0.42 1.9 8.5e+03 0.0005 0.0076 0.24 +
51 -0.75 0.52 0.38 -0.99 -0.63 0.0049 -0.0074 -0.43 1.9 8.5e+03 0.00021 0.0076 0.86 +
52 -0.75 0.52 0.38 -0.99 -0.63 0.0049 -0.0074 -0.43 1.9 8.5e+03 0.00021 0.0038 -3.2 -
53 -0.75 0.52 0.38 -0.99 -0.63 0.0049 -0.0074 -0.43 1.9 8.5e+03 0.00021 0.0019 -1.3 -
54 -0.75 0.52 0.38 -0.99 -0.63 0.0049 -0.0074 -0.43 1.9 8.5e+03 0.00021 0.00095 -0.3 -
55 -0.75 0.52 0.38 -0.99 -0.63 0.0053 -0.0076 -0.43 1.9 8.5e+03 0.00016 0.00095 0.43 +
56 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.008 -0.43 1.9 8.5e+03 8.8e-05 0.00095 0.28 +
57 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.0078 -0.43 1.9 8.5e+03 4.1e-05 0.0095 0.91 ++
58 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.0078 -0.43 1.9 8.5e+03 4.1e-05 0.0048 -6.6 -
59 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.0078 -0.43 1.9 8.5e+03 4.1e-05 0.0024 -1.9 -
60 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.0078 -0.43 1.9 8.5e+03 4.1e-05 0.0012 -0.66 -
61 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.0079 -0.43 1.9 8.5e+03 6.4e-05 0.0012 0.2 +
62 -0.75 0.52 0.38 -0.99 -0.63 0.0062 -0.0078 -0.43 1.9 8.5e+03 4.2e-05 0.0012 0.44 +
63 -0.75 0.52 0.38 -0.99 -0.63 0.0062 -0.0078 -0.43 1.9 8.5e+03 4.2e-05 0.0006 -3.9 -
64 -0.75 0.52 0.38 -0.99 -0.63 0.0062 -0.0078 -0.43 1.9 8.5e+03 4.2e-05 0.0003 -0.53 -
65 -0.75 0.52 0.38 -0.99 -0.63 0.0061 -0.0079 -0.43 1.9 8.5e+03 2.9e-05 0.0003 0.46 +
66 -0.75 0.52 0.38 -0.99 -0.63 0.0061 -0.0079 -0.43 1.9 8.5e+03 2.9e-05 0.00015 -0.2 -
67 -0.75 0.52 0.38 -0.99 -0.63 0.0061 -0.0079 -0.43 1.9 8.5e+03 9.4e-06 0.00015 0.69 +
68 -0.75 0.52 0.38 -0.99 -0.63 0.0061 -0.008 -0.43 1.9 8.5e+03 6.3e-06 0.00015 0.61 +
69 -0.75 0.52 0.38 -0.99 -0.63 0.0061 -0.008 -0.43 1.9 8.5e+03 6.3e-06 7.5e-05 -0.2 -
70 -0.75 0.52 0.38 -0.99 -0.63 0.0061 -0.0079 -0.43 1.9 8.5e+03 1e-05 7.5e-05 0.55 +
71 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.0079 -0.43 1.9 8.5e+03 6.7e-06 7.5e-05 0.53 +
72 -0.75 0.52 0.38 -0.99 -0.63 0.006 -0.0079 -0.43 1.9 8.5e+03 5.8e-06 7.5e-05 0.58 +
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 67/100
Considering neighbor 0/20 for current solution
Attempt 68/100
Considering neighbor 0/20 for current solution
Attempt 69/100
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000127
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time square_tt_coef cube_tt_coef b_cost asc_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.063 -
1 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.5 0.53 +
2 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.25 0.53 -
3 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.12 0.53 -
4 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.062 0.53 -
5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.031 0.53 -
6 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.016 0.53 -
7 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.0078 -3.4 -
8 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.0039 -2.9 -
9 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.002 -2.4 -
10 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.00098 -1.8 -
11 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.00049 -0.98 -
12 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.6e+03 3.9 0.00024 -0.11 -
13 -0.5 -0.5 0.00024 -0.00024 -0.5 0.5 1.5 9.6e+03 1.3 0.00024 0.74 +
14 -0.5 -0.5 0.00049 -0.00018 -0.5 0.5 1.5 9.6e+03 2.2 0.00024 0.47 +
15 -0.5 -0.5 0.00073 -0.00022 -0.5 0.5 1.5 9.6e+03 0.19 0.0024 1 ++
16 -0.5 -0.5 0.0032 -0.00025 -0.5 0.5 1.5 9.6e+03 0.82 0.024 1 ++
17 -0.5 -0.52 0.028 -0.00026 -0.5 0.48 1.5 9.5e+03 3.8 0.24 0.94 ++
18 -0.52 -0.7 0.27 -0.0032 -0.48 0.27 1.5 9.1e+03 10 0.24 0.32 +
19 -0.3 -0.56 0.12 -0.0014 -0.55 0.03 1.3 9e+03 7.1 0.24 0.31 +
20 -0.33 -0.77 0.25 -0.003 -0.66 -0.21 1.2 8.9e+03 11 0.24 0.18 +
21 -0.53 -0.75 0.12 -0.00064 -0.75 0.03 1.4 8.7e+03 8 0.24 0.53 +
22 -0.53 -0.75 0.12 -0.00064 -0.75 0.03 1.4 8.7e+03 8 0.12 -0.0016 -
23 -0.52 -0.78 0.14 -0.0016 -0.74 -0.093 1.3 8.7e+03 8 0.12 0.14 +
24 -0.52 -0.78 0.14 -0.0016 -0.74 -0.093 1.3 8.7e+03 8 0.061 -0.87 -
25 -0.48 -0.76 0.084 -0.00081 -0.74 -0.11 1.3 8.7e+03 4.3 0.061 0.54 +
26 -0.48 -0.76 0.084 -0.00081 -0.74 -0.11 1.3 8.7e+03 4.3 0.031 -0.51 -
27 -0.5 -0.79 0.1 -0.00046 -0.74 -0.1 1.3 8.7e+03 8.7 0.031 0.14 +
28 -0.5 -0.82 0.12 -0.00093 -0.73 -0.12 1.3 8.7e+03 3.9 0.031 0.46 +
29 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.31 1.1 ++
30 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.15 -1.6 -
31 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.076 -0.68 -
32 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.038 -0.73 -
33 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.019 -1.5 -
34 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.0095 -1.8 -
35 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.0048 -1.8 -
36 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.0024 -1.9 -
37 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.0012 -2.1 -
38 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.0006 -2.2 -
39 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.0003 -2.2 -
40 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 0.00015 -2.2 -
41 -0.5 -0.81 0.094 -0.0007 -0.74 -0.13 1.3 8.7e+03 3.6 7.5e-05 -1.4 -
42 -0.5 -0.81 0.094 -0.00062 -0.74 -0.13 1.3 8.7e+03 3.5 7.5e-05 0.37 +
43 -0.5 -0.81 0.094 -0.00066 -0.74 -0.13 1.3 8.7e+03 1.6 7.5e-05 0.45 +
44 -0.5 -0.81 0.094 -0.00065 -0.74 -0.13 1.3 8.7e+03 0.28 0.00075 1.2 ++
45 -0.5 -0.81 0.094 -0.00064 -0.74 -0.13 1.3 8.7e+03 0.05 0.0075 0.99 ++
46 -0.5 -0.82 0.091 -0.00063 -0.74 -0.13 1.3 8.7e+03 0.022 0.075 1 ++
47 -0.51 -0.89 0.052 -0.00047 -0.74 -0.15 1.3 8.7e+03 0.15 0.75 0.97 ++
48 -0.51 -0.89 0.052 -0.00047 -0.74 -0.15 1.3 8.7e+03 0.15 0.37 -5 -
49 -0.53 -1.3 -0.081 8.9e-05 -0.75 -0.13 1.3 8.6e+03 0.59 0.37 0.53 +
50 -0.53 -1.3 -0.081 8.9e-05 -0.75 -0.13 1.3 8.6e+03 0.59 0.19 -1.9 -
51 -0.53 -1.3 -0.081 8.9e-05 -0.75 -0.13 1.3 8.6e+03 0.59 0.093 -1.6 -
52 -0.53 -1.3 -0.081 8.9e-05 -0.75 -0.13 1.3 8.6e+03 0.59 0.047 -1.1 -
53 -0.53 -1.3 -0.034 -0.0001 -0.75 -0.13 1.3 8.6e+03 5.1 0.047 0.15 +
54 -0.48 -1.3 -0.045 -8.2e-05 -0.76 -0.12 1.3 8.6e+03 4.1 0.047 0.74 +
55 -0.48 -1.3 -0.045 -8.2e-05 -0.76 -0.12 1.3 8.6e+03 4.1 0.023 -0.32 -
56 -0.48 -1.3 -0.045 -8.2e-05 -0.76 -0.12 1.3 8.6e+03 4.1 0.012 0.087 -
57 -0.48 -1.3 -0.052 -2.1e-05 -0.76 -0.11 1.3 8.6e+03 6.4 0.012 0.39 +
58 -0.48 -1.3 -0.045 -6.9e-05 -0.76 -0.11 1.3 8.6e+03 0.54 0.12 0.91 ++
59 -0.47 -1.4 -0.073 3.3e-05 -0.76 -0.035 1.2 8.6e+03 8.1 0.12 0.49 +
60 -0.47 -1.4 -0.073 3.3e-05 -0.76 -0.035 1.2 8.6e+03 8.1 0.058 -0.35 -
61 -0.42 -1.5 -0.057 -3.3e-06 -0.76 -0.047 1.2 8.6e+03 7.4 0.058 0.51 +
62 -0.45 -1.5 -0.062 -2.9e-06 -0.76 -0.02 1.2 8.6e+03 2.4 0.058 0.7 +
63 -0.43 -1.6 -0.077 6.1e-05 -0.76 -0.025 1.2 8.6e+03 4.6 0.058 0.75 +
64 -0.45 -1.7 -0.082 9e-05 -0.77 0.022 1.2 8.6e+03 0.33 0.058 0.68 +
65 -0.43 -1.7 -0.082 8.7e-05 -0.77 0.017 1.1 8.6e+03 1.2 0.58 0.96 ++
66 -0.43 -1.7 -0.082 8.7e-05 -0.77 0.017 1.1 8.6e+03 1.2 0.26 -3 -
67 -0.43 -1.7 -0.082 8.7e-05 -0.77 0.017 1.1 8.6e+03 1.2 0.13 -0.65 -
68 -0.46 -1.8 -0.097 0.00015 -0.78 0.069 1.1 8.6e+03 14 0.13 0.22 +
69 -0.46 -1.8 -0.097 0.00015 -0.78 0.069 1.1 8.6e+03 14 0.059 -0.081 -
70 -0.43 -1.9 -0.088 0.00012 -0.78 0.074 1.1 8.6e+03 0.69 0.059 0.71 +
71 -0.43 -1.9 -0.088 0.00012 -0.78 0.074 1.1 8.6e+03 0.69 0.03 -0.66 -
72 -0.43 -1.9 -0.088 0.00012 -0.78 0.074 1.1 8.6e+03 0.69 0.015 -0.86 -
73 -0.43 -1.9 -0.088 0.00012 -0.78 0.074 1.1 8.6e+03 0.69 0.0074 -0.2 -
74 -0.43 -1.9 -0.088 0.00012 -0.78 0.074 1.1 8.6e+03 0.69 0.0037 -0.12 -
75 -0.43 -1.9 -0.084 0.0001 -0.78 0.075 1.1 8.6e+03 1.4 0.0037 0.5 +
76 -0.44 -1.9 -0.087 0.00011 -0.78 0.077 1.1 8.6e+03 1.3 0.037 0.96 ++
77 -0.46 -1.9 -0.091 0.00013 -0.78 0.083 1.1 8.6e+03 0.098 0.37 1.1 ++
78 -0.46 -1.9 -0.091 0.00013 -0.78 0.083 1.1 8.6e+03 0.098 0.042 0.043 -
79 -0.45 -1.9 -0.091 0.00013 -0.79 0.089 1 8.6e+03 5.5 0.042 0.33 +
80 -0.47 -2 -0.094 0.00014 -0.79 0.12 1 8.6e+03 1.9 0.042 0.75 +
81 -0.48 -2 -0.095 0.00015 -0.79 0.12 1 8.6e+03 2.4 0.042 0.87 +
82 -0.49 -2 -0.095 0.00015 -0.8 0.13 1 8.6e+03 1.3 0.42 0.97 ++
83 -0.49 -2 -0.095 0.00015 -0.8 0.13 1 8.6e+03 1.3 0.21 -13 -
84 -0.49 -2 -0.095 0.00015 -0.8 0.13 1 8.6e+03 1.3 0.1 -10 -
85 -0.49 -2 -0.095 0.00015 -0.8 0.13 1 8.6e+03 1.3 0.052 -2.8 -
86 -0.49 -2 -0.095 0.00015 -0.8 0.13 1 8.6e+03 1.3 0.026 -0.16 -
87 -0.48 -2.1 -0.097 0.00016 -0.8 0.13 1 8.6e+03 0.97 0.026 0.67 +
88 -0.48 -2.1 -0.097 0.00016 -0.8 0.13 1 8.6e+03 0.97 0.013 -0.8 -
89 -0.48 -2.1 -0.097 0.00016 -0.8 0.13 1 8.6e+03 0.97 0.0065 -0.69 -
90 -0.48 -2.1 -0.097 0.00016 -0.8 0.13 1 8.6e+03 0.97 0.0033 -1.2 -
91 -0.48 -2.1 -0.097 0.00016 -0.8 0.13 1 8.6e+03 0.97 0.0016 -1.8 -
92 -0.48 -2.1 -0.097 0.00016 -0.8 0.13 1 8.6e+03 0.97 0.00082 -0.95 -
93 -0.48 -2.1 -0.097 0.00016 -0.8 0.13 1 8.6e+03 0.97 0.00041 -0.074 -
94 -0.48 -2.1 -0.096 0.00016 -0.8 0.13 1 8.6e+03 1.5 0.00041 0.22 +
95 -0.48 -2.1 -0.096 0.00015 -0.8 0.13 1 8.6e+03 0.45 0.00041 0.53 +
96 -0.48 -2.1 -0.096 0.00015 -0.8 0.13 1 8.6e+03 0.09 0.00041 0.88 +
97 -0.48 -2.1 -0.096 0.00015 -0.8 0.13 1 8.6e+03 0.015 0.0041 0.99 ++
98 -0.48 -2.1 -0.096 0.00015 -0.8 0.13 1 8.6e+03 0.28 0.0041 0.88 +
99 -0.47 -2.1 -0.096 0.00015 -0.8 0.14 1 8.6e+03 0.032 0.041 0.92 ++
100 -0.47 -2.1 -0.096 0.00015 -0.8 0.14 1 8.6e+03 0.032 0.02 -0.11 -
101 -0.46 -2.1 -0.097 0.00016 -0.8 0.14 1 8.6e+03 0.76 0.02 0.52 +
102 -0.46 -2.1 -0.097 0.00016 -0.8 0.14 1 8.6e+03 0.76 0.01 -1.3 -
103 -0.46 -2.1 -0.097 0.00016 -0.8 0.14 1 8.6e+03 0.76 0.0051 -0.086 -
104 -0.47 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.061 0.0051 0.74 +
105 -0.46 -2.1 -0.097 0.00016 -0.8 0.14 1 8.6e+03 0.045 0.0051 0.69 +
106 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.14 0.0051 0.35 +
107 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.14 0.0025 -3 -
108 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.1 0.0025 0.31 +
109 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.1 0.0013 -0.15 -
110 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.024 0.0013 0.68 +
111 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.024 0.00064 -1.2 -
112 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.024 0.00032 0.091 -
113 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.031 0.00032 0.64 +
114 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0056 0.00032 0.85 +
115 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0086 0.0032 0.96 ++
116 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0086 0.0016 -14 -
117 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0086 0.0008 -1.3 -
118 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0024 0.0008 0.86 +
119 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0024 0.0004 -2.9 -
120 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0024 0.0002 -0.68 -
121 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.0047 0.0002 0.19 +
122 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.004 0.0002 0.13 +
123 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.004 0.0001 -0.65 -
124 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.00039 0.0001 0.55 +
125 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.00039 5e-05 -0.46 -
126 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.001 5e-05 0.74 +
127 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.001 2.5e-05 -0.19 -
128 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.00064 2.5e-05 0.74 +
129 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.00064 1.2e-05 -0.52 -
130 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 8.7e-05 1.2e-05 0.52 +
131 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.3e-05 0.00012 1 ++
132 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.3e-05 6.2e-05 -16 -
133 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.3e-05 3.1e-05 -4.5 -
134 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.3e-05 1.6e-05 -1 -
135 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.3e-05 7.8e-06 0.025 -
136 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 0.00027 7.8e-06 0.45 +
137 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.6e-05 7.8e-06 0.87 +
138 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.6e-05 3.9e-06 -1.3 -
139 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 4.6e-05 1.9e-06 -0.036 -
140 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 7.7e-05 1.9e-06 0.6 +
141 -0.46 -2.1 -0.097 0.00016 -0.8 0.15 1 8.6e+03 5.8e-06 1.9e-06 0.86 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000128
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train b_cost_train b_time_swissmet b_cost_swissmet asc_car b_time_car b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.83 -
1 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.45 -
2 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 -0.032 -
3 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 0.12 1.9 9.6e+03 0.23 0.12 0.38 +
4 -0.12 -0.25 -0.25 0.25 0.25 0 0 0 2 9.3e+03 0.11 0.12 0.36 +
5 0.0024 -0.12 -0.38 0.12 0.12 0.094 -0.12 -0.0097 2.1 9.2e+03 0.16 0.12 0.4 +
6 0.0024 -0.12 -0.38 0.12 0.12 0.094 -0.12 -0.0097 2.1 9.2e+03 0.16 0.062 -0.96 -
7 0.0024 -0.12 -0.38 0.12 0.12 0.094 -0.12 -0.0097 2.1 9.2e+03 0.16 0.031 0.0051 -
8 -0.029 -0.16 -0.41 0.094 0.094 0.12 -0.094 0.022 2.1 9.1e+03 0.061 0.031 0.59 +
9 -0.06 -0.19 -0.44 0.11 0.062 0.094 -0.12 -0.0097 2.1 9e+03 0.04 0.31 0.91 ++
10 -0.11 -0.5 -0.6 -0.056 -0.19 -0.063 -0.42 -0.2 2.2 8.8e+03 0.09 3.1 0.95 ++
11 -0.11 -0.5 -0.6 -0.056 -0.19 -0.063 -0.42 -0.2 2.2 8.8e+03 0.09 1.6 -1.9 -
12 -0.11 -0.5 -0.6 -0.056 -0.19 -0.063 -0.42 -0.2 2.2 8.8e+03 0.09 0.78 -1.1 -
13 -0.11 -0.5 -0.6 -0.056 -0.19 -0.063 -0.42 -0.2 2.2 8.8e+03 0.09 0.39 -0.6 -
14 -0.11 -0.5 -0.6 -0.056 -0.19 -0.063 -0.42 -0.2 2.2 8.8e+03 0.09 0.2 -0.34 -
15 -0.048 -0.45 -0.59 -0.25 -0.38 -0.031 -0.36 -0.16 2.2 8.7e+03 0.094 0.2 0.13 +
16 -0.069 -0.65 -0.72 -0.39 -0.38 -0.15 -0.52 -0.29 2.3 8.5e+03 0.03 0.2 0.86 +
17 -0.021 -0.67 -0.75 -0.58 -0.47 -0.19 -0.55 -0.32 2.3 8.5e+03 0.067 0.2 0.23 +
18 -0.049 -0.87 -0.86 -0.76 -0.44 -0.3 -0.66 -0.42 2.4 8.4e+03 0.026 0.2 0.66 +
19 -0.042 -0.93 -0.87 -0.96 -0.51 -0.35 -0.69 -0.47 2.4 8.4e+03 0.023 0.2 0.62 +
20 -0.11 -1.1 -0.88 -1.2 -0.5 -0.43 -0.77 -0.56 2.3 8.4e+03 0.022 0.2 0.36 +
21 -0.14 -1.1 -0.93 -1.2 -0.51 -0.49 -0.75 -0.56 2.1 8.4e+03 0.014 0.2 0.62 +
22 -0.14 -1.1 -0.93 -1.2 -0.51 -0.49 -0.75 -0.56 2.1 8.4e+03 0.014 0.098 -0.45 -
23 -0.14 -1.1 -1 -1.2 -0.61 -0.48 -0.8 -0.55 2 8.4e+03 0.0062 0.098 0.38 +
24 -0.14 -1.1 -1 -1.2 -0.61 -0.48 -0.8 -0.55 2 8.4e+03 0.0062 0.049 -5.3 -
25 -0.14 -1.1 -1 -1.2 -0.61 -0.48 -0.8 -0.55 2 8.4e+03 0.0062 0.024 -1.9 -
26 -0.14 -1.1 -1 -1.2 -0.58 -0.47 -0.8 -0.57 2 8.4e+03 0.012 0.024 0.23 +
27 -0.12 -1.1 -1 -1.2 -0.57 -0.47 -0.8 -0.57 2 8.4e+03 0.0023 0.024 0.86 +
28 -0.11 -1.1 -1 -1.2 -0.57 -0.47 -0.81 -0.57 2 8.4e+03 0.0069 0.024 0.27 +
29 -0.097 -1.1 -1 -1.2 -0.58 -0.47 -0.81 -0.57 1.9 8.4e+03 0.0035 0.024 0.82 +
30 -0.091 -1.1 -1.1 -1.2 -0.58 -0.46 -0.82 -0.57 1.9 8.4e+03 0.0011 0.024 0.89 +
31 -0.083 -1.1 -1.1 -1.2 -0.59 -0.46 -0.83 -0.58 1.9 8.4e+03 0.0023 0.024 0.79 +
32 -0.079 -1.2 -1.1 -1.3 -0.58 -0.46 -0.83 -0.58 1.9 8.4e+03 0.0017 0.024 0.76 +
33 -0.072 -1.2 -1.1 -1.3 -0.6 -0.46 -0.84 -0.59 1.8 8.4e+03 0.0014 0.024 0.76 +
34 -0.064 -1.2 -1.1 -1.3 -0.58 -0.46 -0.85 -0.59 1.8 8.4e+03 0.0017 0.024 0.34 +
35 -0.064 -1.2 -1.1 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 0.00096 0.024 0.83 +
36 -0.055 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00034 0.024 0.51 +
37 -0.055 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00034 0.012 -5 -
38 -0.055 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00034 0.0061 -0.89 -
39 -0.059 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00027 0.0061 0.37 +
40 -0.059 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00027 0.0031 -0.34 -
41 -0.057 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00011 0.0031 0.7 +
42 -0.057 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00011 0.0015 -2.1 -
43 -0.057 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 0.00011 0.00076 0.093 -
44 -0.057 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 6.6e-05 0.00076 0.74 +
45 -0.057 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 6.6e-05 0.00038 0.074 -
46 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 5.5e-05 0.00038 0.74 +
47 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 6.7e-05 0.00038 0.63 +
48 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 3.3e-05 0.00038 0.72 +
49 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 4e-05 0.00038 0.14 +
50 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 1.8e-05 0.0038 0.92 ++
51 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 1.8e-05 0.0019 -3.9 -
52 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 1.8e-05 0.00095 -0.46 -
53 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 4.9e-05 0.00095 0.41 +
54 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 4.9e-05 0.00048 -7.5 -
55 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 4.9e-05 0.00024 -1.4 -
56 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.87 -0.6 1.8 8.4e+03 1e-05 0.00024 0.34 +
57 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 9.1e-06 0.00024 0.47 +
58 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 9.1e-06 0.00012 -3.8 -
59 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 9.1e-06 6e-05 -2 -
60 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 9.1e-06 3e-05 -1.4 -
61 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 9.1e-06 1.5e-05 -0.98 -
62 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 9.1e-06 7.5e-06 -0.44 -
63 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 7.5e-06 7.5e-06 0.31 +
64 -0.058 -1.2 -1.2 -1.3 -0.61 -0.46 -0.86 -0.6 1.8 8.4e+03 3e-06 7.5e-06 0.84 +
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 70/100
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000129
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.5 -0.64 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.25 -0.32 -
2 0 0 0 0 0 0 0 0 0 0 0 0 0 1.8 1.1e+04 0.55 0.12 0.052 -
3 -0.12 0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 -0.12 0.12 -0.12 0.12 1.9 9.5e+03 0.21 0.12 0.42 +
4 -0.13 0.25 -0.25 -0.25 -0.25 0.25 0.25 0.25 0 -0.25 0 -0.25 0 2 9.1e+03 0.12 0.12 0.32 +
5 -0.11 0.28 -0.24 -0.25 -0.25 0.12 0.24 0.12 0.042 -0.28 0.035 -0.24 0.027 2 9e+03 0.099 1.2 0.95 ++
6 -0.11 0.28 -0.24 -0.25 -0.25 0.12 0.24 0.12 0.042 -0.28 0.035 -0.24 0.027 2 9e+03 0.099 0.62 -7.7 -
7 -0.11 0.28 -0.24 -0.25 -0.25 0.12 0.24 0.12 0.042 -0.28 0.035 -0.24 0.027 2 9e+03 0.099 0.31 -3.5 -
8 -0.11 0.28 -0.24 -0.25 -0.25 0.12 0.24 0.12 0.042 -0.28 0.035 -0.24 0.027 2 9e+03 0.099 0.16 -0.99 -
9 -0.11 0.28 -0.24 -0.25 -0.25 0.12 0.24 0.12 0.042 -0.28 0.035 -0.24 0.027 2 9e+03 0.099 0.078 -1.2 -
10 -0.032 0.36 -0.16 -0.33 -0.33 0.047 0.32 0.047 -0.036 -0.35 -0.043 -0.32 -0.051 2.1 8.9e+03 0.17 0.078 0.12 +
11 -0.11 0.35 -0.24 -0.34 -0.39 0.037 0.32 0.026 0.014 -0.36 0.00052 -0.31 -0.019 2.1 8.9e+03 0.12 0.078 0.67 +
12 -0.099 0.36 -0.23 -0.34 -0.38 0.041 0.32 0.029 -0.047 -0.37 -0.078 -0.31 -0.097 2.1 8.8e+03 0.085 0.078 0.82 +
13 -0.14 0.37 -0.31 -0.34 -0.41 0.0047 0.31 -0.021 -0.023 -0.38 -0.078 -0.31 -0.092 2.1 8.7e+03 0.063 0.078 0.86 +
14 -0.13 0.38 -0.31 -0.34 -0.4 -0.029 0.31 -0.059 -0.051 -0.39 -0.16 -0.3 -0.14 2.1 8.7e+03 0.063 0.78 0.9 ++
15 -0.35 0.54 -0.95 -0.34 -0.56 -0.72 0.23 -0.84 -0.078 -0.58 -0.79 -0.19 -0.45 2.3 8.4e+03 0.091 0.78 0.27 +
16 -0.35 0.54 -0.95 -0.34 -0.56 -0.72 0.23 -0.84 -0.078 -0.58 -0.79 -0.19 -0.45 2.3 8.4e+03 0.091 0.39 -2.6 -
17 -0.35 0.54 -0.95 -0.34 -0.56 -0.72 0.23 -0.84 -0.078 -0.58 -0.79 -0.19 -0.45 2.3 8.4e+03 0.091 0.2 -2.1 -
18 -0.35 0.54 -0.95 -0.34 -0.56 -0.72 0.23 -0.84 -0.078 -0.58 -0.79 -0.19 -0.45 2.3 8.4e+03 0.091 0.098 -0.88 -
19 -0.35 0.54 -0.95 -0.34 -0.56 -0.72 0.23 -0.84 -0.078 -0.58 -0.79 -0.19 -0.45 2.3 8.4e+03 0.091 0.049 -0.23 -
20 -0.31 0.56 -0.9 -0.33 -0.55 -0.68 0.24 -0.79 -0.13 -0.58 -0.84 -0.21 -0.5 2.3 8.4e+03 0.075 0.049 0.37 +
21 -0.34 0.56 -0.95 -0.33 -0.59 -0.69 0.25 -0.76 -0.1 -0.57 -0.79 -0.21 -0.47 2.3 8.3e+03 0.044 0.049 0.74 +
22 -0.33 0.58 -0.93 -0.32 -0.59 -0.69 0.25 -0.71 -0.13 -0.57 -0.82 -0.21 -0.49 2.3 8.3e+03 0.027 0.049 0.85 +
23 -0.32 0.59 -0.94 -0.31 -0.6 -0.74 0.26 -0.67 -0.13 -0.57 -0.77 -0.21 -0.47 2.3 8.3e+03 0.026 0.049 0.85 +
24 -0.3 0.61 -0.92 -0.3 -0.6 -0.78 0.28 -0.62 -0.16 -0.56 -0.78 -0.21 -0.48 2.3 8.2e+03 0.028 0.049 0.68 +
25 -0.3 0.63 -0.95 -0.29 -0.61 -0.83 0.29 -0.58 -0.16 -0.56 -0.75 -0.2 -0.47 2.3 8.2e+03 0.013 0.049 0.81 +
26 -0.29 0.64 -0.95 -0.28 -0.6 -0.88 0.32 -0.54 -0.19 -0.55 -0.75 -0.19 -0.48 2.2 8.2e+03 0.014 0.049 0.82 +
27 -0.29 0.65 -0.97 -0.27 -0.6 -0.93 0.34 -0.52 -0.2 -0.54 -0.73 -0.18 -0.48 2.2 8.2e+03 0.012 0.049 0.8 +
28 -0.31 0.66 -1 -0.26 -0.59 -0.98 0.39 -0.49 -0.24 -0.52 -0.74 -0.17 -0.5 2.2 8.2e+03 0.013 0.049 0.84 +
29 -0.31 0.66 -1 -0.26 -0.59 -0.98 0.39 -0.49 -0.24 -0.52 -0.74 -0.17 -0.5 2.2 8.2e+03 0.013 0.024 0.03 -
30 -0.3 0.66 -1 -0.25 -0.58 -1 0.4 -0.5 -0.24 -0.52 -0.73 -0.16 -0.49 2.2 8.2e+03 0.0088 0.024 0.71 +
31 -0.31 0.67 -1 -0.25 -0.58 -1 0.42 -0.49 -0.26 -0.51 -0.75 -0.15 -0.5 2.1 8.2e+03 0.0096 0.024 0.83 +
32 -0.32 0.68 -1 -0.24 -0.58 -1 0.45 -0.5 -0.26 -0.51 -0.74 -0.14 -0.5 2.1 8.2e+03 0.0053 0.24 0.93 ++
33 -0.32 0.68 -1 -0.24 -0.58 -1 0.45 -0.5 -0.26 -0.51 -0.74 -0.14 -0.5 2.1 8.2e+03 0.0053 0.12 -0.9 -
34 -0.32 0.68 -1 -0.24 -0.58 -1 0.45 -0.5 -0.26 -0.51 -0.74 -0.14 -0.5 2.1 8.2e+03 0.0053 0.061 0.019 -
35 -0.32 0.7 -1 -0.22 -0.57 -1.1 0.5 -0.51 -0.29 -0.49 -0.76 -0.11 -0.52 2.1 8.2e+03 0.021 0.061 0.56 +
36 -0.36 0.72 -1.1 -0.19 -0.58 -1.1 0.56 -0.5 -0.31 -0.48 -0.78 -0.076 -0.53 2.1 8.2e+03 0.0087 0.061 0.89 +
37 -0.36 0.76 -1.1 -0.16 -0.59 -1.2 0.62 -0.52 -0.33 -0.47 -0.79 -0.036 -0.54 2 8.1e+03 0.014 0.061 0.88 +
38 -0.39 0.79 -1.1 -0.13 -0.61 -1.2 0.68 -0.52 -0.35 -0.46 -0.81 0.0016 -0.55 2 8.1e+03 0.0096 0.061 0.89 +
39 -0.41 0.81 -1.1 -0.1 -0.61 -1.3 0.74 -0.55 -0.36 -0.46 -0.82 0.043 -0.56 1.9 8.1e+03 0.009 0.061 0.9 +
40 -0.43 0.83 -1.2 -0.071 -0.62 -1.3 0.8 -0.54 -0.38 -0.45 -0.85 0.082 -0.57 1.9 8.1e+03 0.015 0.061 0.82 +
41 -0.44 0.86 -1.2 -0.037 -0.63 -1.3 0.86 -0.56 -0.39 -0.44 -0.85 0.13 -0.57 1.9 8.1e+03 0.006 0.61 0.91 ++
42 -0.63 1.1 -1.3 0.29 -0.72 -1.5 1.5 -0.66 -0.49 -0.38 -1 0.55 -0.63 1.6 8.1e+03 0.01 0.61 0.57 +
43 -0.63 1.1 -1.3 0.29 -0.72 -1.5 1.5 -0.66 -0.49 -0.38 -1 0.55 -0.63 1.6 8.1e+03 0.01 0.31 -12 -
44 -0.63 1.1 -1.3 0.29 -0.72 -1.5 1.5 -0.66 -0.49 -0.38 -1 0.55 -0.63 1.6 8.1e+03 0.01 0.15 -7.7 -
45 -0.63 1.1 -1.3 0.29 -0.72 -1.5 1.5 -0.66 -0.49 -0.38 -1 0.55 -0.63 1.6 8.1e+03 0.01 0.076 -3.3 -
46 -0.63 1.1 -1.3 0.29 -0.72 -1.5 1.5 -0.66 -0.49 -0.38 -1 0.55 -0.63 1.6 8.1e+03 0.01 0.038 -0.37 -
47 -0.62 1.1 -1.3 0.31 -0.74 -1.6 1.5 -0.64 -0.49 -0.39 -1 0.56 -0.62 1.6 8.1e+03 0.0013 0.038 0.62 +
48 -0.62 1.1 -1.3 0.31 -0.74 -1.6 1.5 -0.64 -0.49 -0.39 -1 0.56 -0.62 1.6 8.1e+03 0.0013 0.019 -0.31 -
49 -0.63 1.1 -1.3 0.31 -0.72 -1.6 1.5 -0.66 -0.49 -0.39 -1 0.57 -0.62 1.6 8.1e+03 0.0036 0.019 0.5 +
50 -0.62 1.1 -1.3 0.33 -0.73 -1.6 1.5 -0.64 -0.5 -0.4 -1 0.58 -0.62 1.6 8.1e+03 0.0044 0.019 0.49 +
51 -0.62 1 -1.3 0.34 -0.71 -1.6 1.5 -0.63 -0.51 -0.4 -1 0.59 -0.62 1.7 8.1e+03 0.004 0.019 0.56 +
52 -0.62 1 -1.3 0.35 -0.7 -1.6 1.5 -0.65 -0.51 -0.41 -1 0.6 -0.62 1.7 8.1e+03 0.0016 0.019 0.51 +
53 -0.61 1 -1.3 0.37 -0.71 -1.6 1.5 -0.63 -0.51 -0.41 -1 0.62 -0.62 1.7 8.1e+03 0.00065 0.019 0.79 +
54 -0.62 1 -1.3 0.38 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.63 -0.62 1.7 8.1e+03 0.00066 0.019 0.7 +
55 -0.61 1 -1.3 0.39 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.64 -0.62 1.7 8.1e+03 0.00072 0.019 0.76 +
56 -0.61 1 -1.3 0.4 -0.71 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.66 -0.62 1.7 8.1e+03 0.00089 0.019 0.2 +
57 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.66 -0.62 1.7 8.1e+03 0.00022 0.19 0.9 ++
58 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.66 -0.62 1.7 8.1e+03 0.00022 0.095 -44 -
59 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.66 -0.62 1.7 8.1e+03 0.00022 0.048 -19 -
60 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.66 -0.62 1.7 8.1e+03 0.00022 0.024 -11 -
61 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.66 -0.62 1.7 8.1e+03 0.00022 0.012 -3 -
62 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.66 -0.62 1.7 8.1e+03 0.00022 0.006 -0.55 -
63 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0002 0.006 0.35 +
64 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0002 0.003 -0.14 -
65 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.00054 0.003 0.33 +
66 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.00054 0.0015 -0.64 -
67 -0.61 1 -1.3 0.41 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.00054 0.00075 0.084 -
68 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.00035 0.00075 0.42 +
69 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 7.7e-05 0.0075 0.96 ++
70 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 0.00011 0.0075 0.76 +
71 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 0.00011 0.0037 -7.8 -
72 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 0.00011 0.0019 -1.4 -
73 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 9.9e-05 0.0019 0.57 +
74 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 9.9e-05 0.00093 -1.8 -
75 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 0.00014 0.00093 0.22 +
76 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 5.3e-05 0.00093 0.47 +
77 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 7.6e-05 0.00093 0.49 +
78 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 3.7e-05 0.00093 0.5 +
79 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.5e-05 0.0093 0.92 ++
80 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.5e-05 0.0047 -50 -
81 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.5e-05 0.0023 -11 -
82 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.5e-05 0.0012 -3.9 -
83 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.5e-05 0.00058 -0.62 -
84 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.9e-05 0.00058 0.52 +
85 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.9e-05 0.00029 -0.71 -
86 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 2.4e-05 0.00029 0.49 +
87 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 2.4e-05 0.00015 0.0024 -
88 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 2e-05 0.00015 0.61 +
89 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 6.3e-06 0.00015 0.79 +
90 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4.2e-06 0.00015 0.8 +
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:altspec;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:nested existing;train_tt_catalog:linear [8089.027112312033, 14]
Attempt 71/100
Considering neighbor 0/20 for current solution
Attempt 72/100
Biogeme parameters read from biogeme.toml.
Model with 19 unknown parameters [max: 50]
*** Estimate b07everything_000130
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.22 0.5 -0.7 -
1 1.1e+04 0.22 0.25 0.044 -
2 9.4e+03 0.058 0.25 0.57 +
3 9.4e+03 0.058 0.12 -0.76 -
4 9.3e+03 0.088 0.12 0.16 +
5 9e+03 0.07 0.12 0.72 +
6 8.9e+03 0.046 0.12 0.86 +
7 8.8e+03 0.054 0.12 0.63 +
8 8.7e+03 0.045 0.12 0.74 +
9 8.6e+03 0.043 0.12 0.81 +
10 8.5e+03 0.028 0.12 0.83 +
11 8.4e+03 0.035 0.12 0.61 +
12 8.3e+03 0.032 0.12 0.65 +
13 8.3e+03 0.033 0.12 0.51 +
14 8.3e+03 0.043 0.12 0.14 +
15 8.2e+03 0.024 0.12 0.65 +
16 8.2e+03 0.013 0.12 0.57 +
17 8.2e+03 0.011 0.12 0.63 +
18 8.2e+03 0.011 0.062 -0.25 -
19 8.2e+03 0.015 0.062 0.38 +
20 8.2e+03 0.0053 0.062 0.85 +
21 8.2e+03 0.0053 0.031 -1.8 -
22 8.2e+03 0.0053 0.016 -0.17 -
23 8.2e+03 0.0065 0.016 0.16 +
24 8.2e+03 0.0027 0.16 0.99 ++
25 8.2e+03 0.0061 0.16 0.83 +
26 8.1e+03 0.007 0.16 0.54 +
27 8.1e+03 0.011 0.16 0.5 +
28 8.1e+03 0.0069 0.16 0.39 +
29 8.1e+03 0.0069 0.046 -0.76 -
30 8.1e+03 0.0078 0.046 0.45 +
31 8.1e+03 0.0078 0.023 -1.4 -
32 8.1e+03 0.0064 0.023 0.46 +
33 8.1e+03 0.007 0.023 0.19 +
34 8.1e+03 0.0026 0.023 0.87 +
35 8.1e+03 0.0018 0.23 1 ++
36 8.1e+03 0.005 0.23 0.36 +
37 8.1e+03 0.002 2.3 0.91 ++
38 8.1e+03 0.002 1.1 -29 -
39 8.1e+03 0.002 0.57 -12 -
40 8.1e+03 0.002 0.29 -4.1 -
41 8.1e+03 0.002 0.14 -1.2 -
42 8.1e+03 0.002 0.072 -0.22 -
43 8.1e+03 0.0042 0.072 0.19 +
44 8.1e+03 0.0022 0.072 0.74 +
45 8.1e+03 0.0022 0.036 -1 -
46 8.1e+03 0.002 0.036 0.13 +
47 8.1e+03 0.002 0.018 -0.49 -
48 8.1e+03 0.0014 0.018 0.6 +
49 8.1e+03 0.0014 0.0089 0.0021 -
50 8.1e+03 0.0014 0.0045 -0.022 -
51 8.1e+03 0.0018 0.0045 0.14 +
52 8.1e+03 0.00072 0.0045 0.69 +
53 8.1e+03 0.00044 0.0045 0.7 +
54 8.1e+03 0.00032 0.0045 0.7 +
55 8.1e+03 0.00027 0.0045 0.87 +
56 8.1e+03 0.00022 0.0045 0.87 +
57 8.1e+03 0.00028 0.0045 0.9 +
58 8.1e+03 0.00019 0.045 0.91 ++
59 8.1e+03 0.00045 0.045 0.65 +
60 8.1e+03 0.00045 0.022 -11 -
61 8.1e+03 0.00045 0.011 -3.4 -
62 8.1e+03 0.00045 0.0056 -0.69 -
63 8.1e+03 0.00026 0.0056 0.26 +
64 8.1e+03 0.00026 0.0028 -0.76 -
65 8.1e+03 0.00018 0.0028 0.74 +
66 8.1e+03 0.00014 0.0028 0.66 +
67 8.1e+03 0.00018 0.0028 0.21 +
68 8.1e+03 0.00018 0.0028 0.47 +
69 8.1e+03 0.00018 0.0014 0.059 -
70 8.1e+03 9.9e-05 0.0014 0.75 +
71 8.1e+03 7.2e-05 0.014 0.92 ++
72 8.1e+03 0.00015 0.014 0.6 +
73 8.1e+03 0.00015 0.007 -3.6 -
74 8.1e+03 0.00015 0.0035 -0.6 -
75 8.1e+03 9e-05 0.0035 0.39 +
76 8.1e+03 9e-05 0.0017 -1.2 -
77 8.1e+03 8.9e-05 0.0017 0.78 +
78 8.1e+03 8.9e-05 0.00087 -0.91 -
79 8.1e+03 8.9e-05 0.00044 -0.017 -
80 8.1e+03 3.4e-05 0.00044 0.58 +
81 8.1e+03 2.6e-05 0.0044 0.93 ++
82 8.1e+03 4.5e-05 0.0044 0.83 +
83 8.1e+03 4.5e-05 0.0022 -0.094 -
84 8.1e+03 6.5e-05 0.0022 0.19 +
85 8.1e+03 4.4e-05 0.0022 0.74 +
86 8.1e+03 4.4e-05 0.0011 -0.51 -
87 8.1e+03 4.4e-05 0.00055 -0.08 -
88 8.1e+03 3e-05 0.00055 0.36 +
89 8.1e+03 1e-05 0.0055 0.96 ++
90 8.1e+03 4.5e-05 0.0055 0.49 +
91 8.1e+03 4.5e-05 0.0027 -8.9 -
92 8.1e+03 4.5e-05 0.0014 -2.1 -
93 8.1e+03 2.9e-05 0.0014 0.18 +
94 8.1e+03 2.9e-05 0.00068 -0.9 -
95 8.1e+03 2.3e-05 0.00068 0.27 +
96 8.1e+03 2.3e-05 0.00034 -1.4 -
97 8.1e+03 1.2e-05 0.00034 0.7 +
98 8.1e+03 1e-05 0.00034 0.23 +
99 8.1e+03 7.1e-06 0.00034 0.23 +
100 8.1e+03 7.1e-06 0.00017 -2.6 -
101 8.1e+03 7.1e-06 8.5e-05 -0.09 -
102 8.1e+03 3.9e-06 8.5e-05 0.3 -
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 73/100
Considering neighbor 0/20 for current solution
Attempt 74/100
Considering neighbor 0/20 for current solution
Attempt 75/100
Considering neighbor 0/20 for current solution
Attempt 76/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000131
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time b_cost asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.36 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 1.5 9.7e+03 0.1 0.5 0.37 +
2 -0.5 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 -0.5 1.5 9.7e+03 0.1 0.25 0.071 -
3 -0.25 -0.25 -0.25 -0.48 -0.75 -0.48 0.25 -0.56 -0.69 -0.51 1.2 9e+03 0.06 0.25 0.64 +
4 -0.5 5.6e-17 -0.17 -0.45 -1 -0.56 0.25 -0.64 -0.44 -0.52 1.4 8.8e+03 0.058 0.25 0.57 +
5 -0.33 0.25 0.067 -0.44 -0.99 -0.6 0.17 -0.67 -0.43 -0.53 1.3 8.6e+03 0.054 0.25 0.55 +
6 -0.53 0.5 0.074 -0.41 -1.2 -0.62 0.17 -0.71 -0.33 -0.53 1.4 8.4e+03 0.028 0.25 0.7 +
7 -0.48 0.75 0.22 -0.38 -1.2 -0.69 0.19 -0.75 -0.24 -0.54 1.4 8.4e+03 0.036 0.25 0.39 +
8 -0.7 1 0.19 -0.31 -1.2 -0.7 0.087 -0.82 -0.17 -0.55 1.5 8.3e+03 0.023 0.25 0.49 +
9 -0.7 1 0.19 -0.31 -1.2 -0.7 0.087 -0.82 -0.17 -0.55 1.5 8.3e+03 0.023 0.12 -0.059 -
10 -0.74 1.1 0.2 -0.24 -1.1 -0.72 -0.028 -0.88 -0.17 -0.55 1.3 8.3e+03 0.015 0.12 0.46 +
11 -0.74 1.1 0.2 -0.24 -1.1 -0.72 -0.028 -0.88 -0.17 -0.55 1.3 8.3e+03 0.015 0.062 -0.55 -
12 -0.8 1.1 0.17 -0.22 -1.1 -0.72 0.02 -0.89 -0.12 -0.55 1.4 8.3e+03 0.0061 0.062 0.62 +
13 -0.83 1.1 0.22 -0.16 -1.1 -0.72 0.01 -0.93 -0.094 -0.56 1.3 8.3e+03 0.0093 0.062 0.44 +
14 -0.87 1.1 0.23 -0.12 -1.1 -0.69 -0.052 -0.96 -0.12 -0.56 1.3 8.3e+03 0.0096 0.062 0.21 +
15 -0.91 1.1 0.23 -0.097 -1.1 -0.72 0.01 -0.97 -0.071 -0.56 1.3 8.3e+03 0.0073 0.062 0.23 +
16 -0.91 1.1 0.23 -0.097 -1.1 -0.72 0.01 -0.97 -0.071 -0.56 1.3 8.3e+03 0.0073 0.031 -0.85 -
17 -0.91 1.1 0.23 -0.097 -1.1 -0.72 0.01 -0.97 -0.071 -0.56 1.3 8.3e+03 0.0073 0.016 0.057 -
18 -0.9 1.1 0.25 -0.081 -1.1 -0.7 -0.0053 -0.99 -0.086 -0.56 1.3 8.3e+03 0.0033 0.016 0.68 +
19 -0.91 1.1 0.24 -0.066 -1.1 -0.69 -0.021 -1 -0.1 -0.57 1.3 8.3e+03 0.003 0.016 0.18 +
20 -0.91 1.1 0.25 -0.053 -1.1 -0.7 -0.007 -1 -0.09 -0.57 1.3 8.3e+03 0.0031 0.16 0.92 ++
21 -1 1.2 0.36 0.1 -1.2 -0.75 -0.046 -1.1 -0.071 -0.57 1.3 8.3e+03 0.0073 0.16 0.32 +
22 -1 1.2 0.36 0.1 -1.2 -0.75 -0.046 -1.1 -0.071 -0.57 1.3 8.3e+03 0.0073 0.078 0.065 -
23 -1.1 1.1 0.33 0.18 -1.1 -0.7 -0.0056 -1.1 -0.039 -0.57 1.2 8.3e+03 0.0056 0.078 0.58 +
24 -1.1 1.2 0.4 0.26 -1.2 -0.71 -0.00066 -1.2 -0.049 -0.57 1.2 8.3e+03 0.0032 0.078 0.74 +
25 -1.1 1.2 0.4 0.26 -1.2 -0.71 -0.00066 -1.2 -0.049 -0.57 1.2 8.3e+03 0.0032 0.039 -1.4 -
26 -1.1 1.2 0.4 0.26 -1.2 -0.71 -0.00066 -1.2 -0.049 -0.57 1.2 8.3e+03 0.0032 0.02 -0.16 -
27 -1.1 1.2 0.39 0.27 -1.2 -0.7 -0.0067 -1.2 -0.054 -0.57 1.2 8.3e+03 0.0019 0.02 0.69 +
28 -1.1 1.2 0.39 0.29 -1.1 -0.71 0.0054 -1.2 -0.048 -0.57 1.2 8.3e+03 0.0019 0.02 0.6 +
29 -1.2 1.2 0.41 0.31 -1.1 -0.71 -0.008 -1.2 -0.056 -0.56 1.2 8.3e+03 0.0037 0.02 0.12 +
30 -1.2 1.2 0.41 0.33 -1.1 -0.7 0.0042 -1.2 -0.049 -0.56 1.2 8.3e+03 0.0012 0.02 0.9 +
31 -1.2 1.2 0.41 0.35 -1.1 -0.71 -0.002 -1.2 -0.051 -0.56 1.2 8.3e+03 0.00068 0.2 0.94 ++
32 -1.3 1.2 0.48 0.55 -1.2 -0.69 0.03 -1.3 -0.011 -0.53 1.1 8.3e+03 0.0048 0.2 0.32 +
33 -1.3 1.2 0.48 0.55 -1.2 -0.69 0.03 -1.3 -0.011 -0.53 1.1 8.3e+03 0.0048 0.098 -3.2 -
34 -1.3 1.2 0.48 0.55 -1.2 -0.69 0.03 -1.3 -0.011 -0.53 1.1 8.3e+03 0.0048 0.049 -1.9 -
35 -1.3 1.2 0.48 0.55 -1.2 -0.69 0.03 -1.3 -0.011 -0.53 1.1 8.3e+03 0.0048 0.024 -1.5 -
36 -1.3 1.2 0.49 0.55 -1.2 -0.69 0.0054 -1.3 -0.036 -0.53 1.1 8.3e+03 0.0025 0.024 0.48 +
37 -1.3 1.3 0.49 0.55 -1.2 -0.72 0.014 -1.3 -0.044 -0.53 1.1 8.3e+03 0.001 0.024 0.37 +
38 -1.3 1.3 0.49 0.55 -1.2 -0.7 0.015 -1.3 -0.032 -0.52 1.1 8.3e+03 0.0019 0.024 0.29 +
39 -1.3 1.3 0.49 0.55 -1.2 -0.7 0.015 -1.3 -0.032 -0.52 1.1 8.3e+03 0.0019 0.012 -0.57 -
40 -1.3 1.3 0.49 0.55 -1.2 -0.69 0.0032 -1.3 -0.044 -0.52 1.1 8.3e+03 0.0017 0.012 0.13 +
41 -1.3 1.3 0.5 0.56 -1.2 -0.71 0.013 -1.3 -0.034 -0.51 1.1 8.3e+03 0.00089 0.012 0.42 +
42 -1.3 1.3 0.5 0.56 -1.2 -0.71 0.011 -1.3 -0.037 -0.51 1.1 8.3e+03 0.0004 0.012 0.69 +
43 -1.3 1.3 0.5 0.56 -1.2 -0.71 0.011 -1.3 -0.037 -0.51 1.1 8.3e+03 0.0004 0.0061 -0.16 -
44 -1.3 1.3 0.5 0.56 -1.2 -0.7 0.014 -1.3 -0.036 -0.51 1.1 8.3e+03 0.00028 0.0061 0.63 +
45 -1.4 1.3 0.5 0.57 -1.2 -0.7 0.012 -1.3 -0.035 -0.51 1.1 8.3e+03 0.00034 0.0061 0.76 +
46 -1.4 1.3 0.51 0.57 -1.2 -0.71 0.014 -1.3 -0.037 -0.5 1.1 8.3e+03 0.0003 0.0061 0.66 +
47 -1.4 1.3 0.51 0.57 -1.2 -0.7 0.014 -1.3 -0.035 -0.5 1.1 8.3e+03 0.00019 0.0061 0.89 +
48 -1.4 1.3 0.51 0.58 -1.2 -0.71 0.014 -1.3 -0.035 -0.5 1.1 8.3e+03 0.0002 0.0061 0.88 +
49 -1.4 1.3 0.51 0.58 -1.2 -0.7 0.015 -1.3 -0.035 -0.49 1.1 8.3e+03 0.00028 0.0061 0.86 +
50 -1.4 1.3 0.52 0.59 -1.2 -0.71 0.014 -1.2 -0.035 -0.49 1.1 8.3e+03 0.00024 0.0061 0.9 +
51 -1.4 1.3 0.52 0.59 -1.2 -0.7 0.015 -1.2 -0.035 -0.48 1.1 8.3e+03 0.00014 0.061 0.93 ++
52 -1.4 1.3 0.52 0.59 -1.2 -0.7 0.015 -1.2 -0.035 -0.48 1.1 8.3e+03 0.00014 0.031 -13 -
53 -1.4 1.3 0.52 0.59 -1.2 -0.7 0.015 -1.2 -0.035 -0.48 1.1 8.3e+03 0.00014 0.015 -4.5 -
54 -1.4 1.3 0.52 0.59 -1.2 -0.7 0.015 -1.2 -0.035 -0.48 1.1 8.3e+03 0.00014 0.0076 -1.4 -
55 -1.4 1.3 0.52 0.59 -1.2 -0.7 0.015 -1.2 -0.035 -0.48 1.1 8.3e+03 0.00014 0.0038 -0.093 -
56 -1.4 1.3 0.52 0.59 -1.2 -0.7 0.016 -1.2 -0.035 -0.48 1.1 8.3e+03 0.00023 0.0038 0.52 +
57 -1.4 1.3 0.52 0.59 -1.2 -0.71 0.016 -1.2 -0.034 -0.48 1.1 8.3e+03 0.00014 0.0038 0.77 +
58 -1.4 1.3 0.52 0.6 -1.2 -0.7 0.016 -1.2 -0.034 -0.48 1.1 8.3e+03 0.00014 0.0038 0.73 +
59 -1.4 1.3 0.52 0.6 -1.2 -0.71 0.015 -1.2 -0.035 -0.48 1.1 8.3e+03 0.00023 0.0038 0.48 +
60 -1.4 1.3 0.52 0.6 -1.2 -0.7 0.016 -1.2 -0.033 -0.48 1.1 8.3e+03 8.3e-05 0.038 0.97 ++
61 -1.4 1.3 0.52 0.6 -1.2 -0.7 0.016 -1.2 -0.033 -0.48 1.1 8.3e+03 8.3e-05 0.019 -8.5 -
62 -1.4 1.3 0.52 0.6 -1.2 -0.7 0.016 -1.2 -0.033 -0.48 1.1 8.3e+03 8.3e-05 0.0095 -2.7 -
63 -1.4 1.3 0.52 0.6 -1.2 -0.7 0.016 -1.2 -0.033 -0.48 1.1 8.3e+03 8.3e-05 0.0048 -0.63 -
64 -1.4 1.3 0.53 0.6 -1.2 -0.7 0.016 -1.2 -0.035 -0.47 1.1 8.3e+03 0.00012 0.0048 0.26 +
65 -1.4 1.3 0.53 0.61 -1.2 -0.71 0.016 -1.2 -0.035 -0.47 1 8.3e+03 0.00017 0.0048 0.32 +
66 -1.4 1.3 0.53 0.61 -1.2 -0.7 0.017 -1.2 -0.033 -0.47 1 8.3e+03 0.00019 0.0048 0.36 +
67 -1.4 1.3 0.53 0.61 -1.2 -0.71 0.017 -1.2 -0.031 -0.47 1 8.3e+03 0.00019 0.0048 0.27 +
68 -1.4 1.3 0.53 0.61 -1.2 -0.7 0.017 -1.2 -0.036 -0.46 1 8.3e+03 0.00016 0.0048 0.32 +
69 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.017 -1.2 -0.031 -0.46 1 8.3e+03 0.00019 0.0048 0.32 +
70 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.017 -1.2 -0.031 -0.46 1 8.3e+03 0.00019 0.0024 -0.36 -
71 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 0.00012 0.0024 0.42 +
72 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.019 -1.2 -0.034 -0.46 1 8.3e+03 5e-05 0.0024 0.53 +
73 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.019 -1.2 -0.034 -0.46 1 8.3e+03 5e-05 0.0012 0.087 -
74 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.018 -1.2 -0.033 -0.46 1 8.3e+03 5.5e-05 0.0012 0.79 +
75 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.017 -1.2 -0.032 -0.46 1 8.3e+03 1.9e-05 0.0012 0.72 +
76 -1.4 1.3 0.53 0.62 -1.2 -0.7 0.017 -1.2 -0.032 -0.46 1 8.3e+03 1.9e-05 0.0006 -0.12 -
77 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 1.4e-05 0.0006 0.49 +
78 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.033 -0.46 1 8.3e+03 1.6e-05 0.0006 0.85 +
79 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.033 -0.46 1 8.3e+03 2.3e-05 0.0006 0.65 +
80 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 2.3e-05 0.0006 0.21 +
81 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.033 -0.46 1 8.3e+03 2.3e-05 0.0006 0.24 +
82 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.033 -0.46 1 8.3e+03 2.3e-05 0.0003 -0.7 -
83 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 1.8e-05 0.0003 0.74 +
84 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 9.7e-06 0.0003 0.58 +
85 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 1.5e-05 0.0003 0.2 +
86 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 1e-05 0.0003 0.63 +
87 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 7.2e-06 0.0003 0.32 +
88 -1.4 1.3 0.54 0.62 -1.2 -0.7 0.018 -1.2 -0.032 -0.46 1 8.3e+03 5.1e-06 0.0003 0.86 +
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 77/100
Considering neighbor 0/20 for current solution
Attempt 78/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000132
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time b_cost asc_car_ref asc_car_diff_on asc_car_diff_se mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.21 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 -0.5 -0.5 1.5 9.4e+03 0.11 0.5 0.46 +
2 -0.41 0 -0.47 -1 -0.55 0 -0.97 -0.52 1 9.2e+03 0.08 0.5 0.16 +
3 -0.41 0 -0.47 -1 -0.55 0 -0.97 -0.52 1 9.2e+03 0.08 0.25 0.017 -
4 -0.66 -0.25 -0.22 -1.2 -0.8 0.25 -0.72 -0.77 1.3 8.9e+03 0.062 0.25 0.39 +
5 -0.47 -0.0052 -0.2 -1.1 -0.84 0.34 -0.57 -0.78 1 8.8e+03 0.041 0.25 0.49 +
6 -0.59 0.16 -0.18 -1.4 -0.72 0.3 -0.38 -0.78 1.1 8.6e+03 0.015 0.25 0.75 +
7 -0.59 0.16 -0.18 -1.4 -0.72 0.3 -0.38 -0.78 1.1 8.6e+03 0.015 0.12 -0.089 -
8 -0.59 0.16 -0.18 -1.4 -0.72 0.3 -0.38 -0.78 1.1 8.6e+03 0.015 0.062 0.034 -
9 -0.57 0.23 -0.17 -1.3 -0.74 0.24 -0.36 -0.78 1.1 8.6e+03 0.015 0.062 0.27 +
10 -0.62 0.25 -0.16 -1.3 -0.75 0.24 -0.32 -0.78 1.1 8.6e+03 0.011 0.62 0.92 ++
11 -0.62 0.25 -0.16 -1.3 -0.75 0.24 -0.32 -0.78 1.1 8.6e+03 0.011 0.31 -0.16 -
12 -0.7 0.56 -0.09 -1.3 -0.78 0.14 -0.21 -0.79 1.2 8.6e+03 0.02 0.31 0.44 +
13 -0.7 0.56 -0.09 -1.3 -0.78 0.14 -0.21 -0.79 1.2 8.6e+03 0.02 0.16 -0.51 -
14 -0.7 0.56 -0.09 -1.3 -0.78 0.14 -0.21 -0.79 1.2 8.6e+03 0.02 0.078 -0.048 -
15 -0.7 0.56 -0.09 -1.3 -0.78 0.14 -0.21 -0.79 1.2 8.6e+03 0.02 0.039 -0.15 -
16 -0.74 0.52 -0.051 -1.3 -0.74 0.16 -0.17 -0.75 1.2 8.6e+03 0.0084 0.039 0.47 +
17 -0.74 0.54 -0.038 -1.3 -0.74 0.12 -0.19 -0.75 1.2 8.6e+03 0.0077 0.039 0.78 +
18 -0.78 0.53 -0.025 -1.3 -0.75 0.12 -0.18 -0.75 1.2 8.6e+03 0.0068 0.039 0.66 +
19 -0.8 0.55 0.0027 -1.3 -0.76 0.1 -0.18 -0.75 1.2 8.6e+03 0.0056 0.039 0.81 +
20 -0.84 0.56 0.024 -1.3 -0.76 0.087 -0.17 -0.75 1.2 8.6e+03 0.0047 0.039 0.74 +
21 -0.86 0.59 0.063 -1.2 -0.76 0.069 -0.16 -0.75 1.2 8.6e+03 0.0042 0.039 0.85 +
22 -0.9 0.6 0.095 -1.2 -0.76 0.068 -0.14 -0.75 1.2 8.6e+03 0.0035 0.039 0.75 +
23 -0.92 0.63 0.13 -1.2 -0.76 0.048 -0.14 -0.75 1.2 8.6e+03 0.0028 0.039 0.86 +
24 -0.95 0.65 0.17 -1.2 -0.77 0.057 -0.13 -0.74 1.2 8.6e+03 0.0024 0.039 0.85 +
25 -0.97 0.67 0.21 -1.2 -0.76 0.04 -0.13 -0.74 1.1 8.6e+03 0.0025 0.039 0.89 +
26 -1 0.68 0.25 -1.2 -0.77 0.045 -0.12 -0.74 1.1 8.6e+03 0.0026 0.039 0.79 +
27 -1 0.7 0.29 -1.2 -0.77 0.054 -0.11 -0.74 1.1 8.6e+03 0.0041 0.039 0.51 +
28 -1 0.7 0.29 -1.2 -0.77 0.054 -0.11 -0.74 1.1 8.6e+03 0.0041 0.02 -0.085 -
29 -1 0.71 0.31 -1.2 -0.76 0.034 -0.12 -0.74 1.1 8.6e+03 0.0023 0.02 0.64 +
30 -1 0.71 0.32 -1.2 -0.77 0.054 -0.11 -0.74 1.1 8.6e+03 0.003 0.02 0.37 +
31 -1 0.73 0.34 -1.2 -0.77 0.042 -0.12 -0.73 1.1 8.6e+03 0.0029 0.02 0.77 +
32 -1.1 0.72 0.36 -1.2 -0.77 0.039 -0.12 -0.73 1.1 8.6e+03 0.0031 0.02 0.31 +
33 -1.1 0.74 0.38 -1.2 -0.77 0.048 -0.11 -0.73 1.1 8.6e+03 0.0014 0.02 0.89 +
34 -1.1 0.74 0.4 -1.2 -0.77 0.034 -0.12 -0.73 1.1 8.6e+03 0.0024 0.02 0.65 +
35 -1.1 0.75 0.42 -1.2 -0.77 0.047 -0.11 -0.73 1.1 8.6e+03 0.0013 0.2 0.97 ++
36 -1.2 0.82 0.61 -1.3 -0.77 0.037 -0.11 -0.7 1.1 8.6e+03 0.0028 0.2 0.82 +
37 -1.3 0.86 0.79 -1.3 -0.78 0.073 -0.097 -0.67 1 8.6e+03 0.0025 0.2 0.64 +
38 -1.3 0.86 0.79 -1.3 -0.78 0.073 -0.097 -0.67 1 8.6e+03 0.0025 0.098 -3 -
39 -1.3 0.86 0.79 -1.3 -0.78 0.073 -0.097 -0.67 1 8.6e+03 0.0025 0.049 -0.49 -
40 -1.3 0.91 0.8 -1.3 -0.79 0.053 -0.098 -0.66 1 8.6e+03 0.00096 0.049 0.52 +
41 -1.3 0.91 0.8 -1.3 -0.79 0.053 -0.098 -0.66 1 8.6e+03 0.00096 0.016 -0.79 -
42 -1.3 0.91 0.8 -1.3 -0.79 0.053 -0.098 -0.66 1 8.6e+03 0.00096 0.008 0.062 -
43 -1.3 0.91 0.81 -1.3 -0.78 0.045 -0.09 -0.65 1 8.6e+03 0.0014 0.008 0.49 +
44 -1.3 0.9 0.82 -1.3 -0.78 0.053 -0.084 -0.65 1 8.6e+03 0.0012 0.008 0.37 +
45 -1.3 0.91 0.82 -1.3 -0.78 0.049 -0.088 -0.64 1 8.6e+03 0.0016 0.008 0.47 +
46 -1.3 0.91 0.82 -1.3 -0.78 0.046 -0.09 -0.64 1 8.6e+03 0.00084 0.008 0.54 +
47 -1.3 0.91 0.83 -1.3 -0.78 0.051 -0.087 -0.64 1 8.6e+03 0.00036 0.08 0.98 ++
48 -1.3 0.93 0.86 -1.3 -0.78 0.049 -0.086 -0.62 1 8.6e+03 0.00086 0.08 0.83 +
49 -1.4 0.97 0.94 -1.2 -0.79 0.04 -0.083 -0.57 1 8.6e+03 0.00065 0.08 0.47 +
50 -1.4 0.97 0.94 -1.2 -0.79 0.04 -0.083 -0.57 1 8.6e+03 0.00065 0.04 -8.7 -
51 -1.4 0.97 0.94 -1.2 -0.79 0.04 -0.083 -0.57 1 8.6e+03 0.00065 0.02 -4.2 -
52 -1.4 0.97 0.94 -1.3 -0.77 0.044 -0.072 -0.57 1 8.6e+03 0.00078 0.02 0.12 +
53 -1.4 0.95 0.95 -1.3 -0.79 0.042 -0.075 -0.57 1 8.6e+03 0.00077 0.02 0.24 +
54 -1.4 0.95 0.95 -1.3 -0.79 0.042 -0.075 -0.57 1 8.6e+03 0.00077 0.01 -0.26 -
55 -1.4 0.95 0.95 -1.3 -0.78 0.047 -0.079 -0.56 1 8.6e+03 0.00028 0.01 0.82 +
56 -1.4 0.95 0.95 -1.3 -0.78 0.047 -0.079 -0.56 1 8.6e+03 0.00028 0.005 -2.6 -
57 -1.4 0.95 0.95 -1.3 -0.78 0.047 -0.079 -0.56 1 8.6e+03 0.00028 0.0025 -0.24 -
58 -1.4 0.95 0.95 -1.3 -0.78 0.045 -0.081 -0.56 1 8.6e+03 0.00022 0.0025 0.36 +
59 -1.4 0.95 0.95 -1.3 -0.78 0.046 -0.08 -0.56 1 8.6e+03 7.9e-05 0.0025 0.78 +
60 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.56 1 8.6e+03 8.7e-05 0.0025 0.52 +
61 -1.4 0.95 0.95 -1.3 -0.78 0.044 -0.08 -0.55 1 8.6e+03 7.7e-05 0.0025 0.65 +
62 -1.4 0.95 0.95 -1.3 -0.78 0.045 -0.08 -0.55 1 8.6e+03 5.3e-05 0.0025 0.79 +
63 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.55 1 8.6e+03 5.5e-05 0.0025 0.63 +
64 -1.4 0.95 0.95 -1.3 -0.78 0.045 -0.079 -0.55 1 8.6e+03 4e-05 0.0025 0.8 +
65 -1.4 0.95 0.95 -1.3 -0.78 0.044 -0.08 -0.54 1 8.6e+03 4.9e-05 0.0025 0.54 +
66 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 5e-05 0.0025 0.47 +
67 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 5e-05 0.0013 -0.2 -
68 -1.4 0.95 0.95 -1.3 -0.78 0.045 -0.08 -0.54 1 8.6e+03 5.6e-05 0.0013 0.66 +
69 -1.4 0.95 0.95 -1.3 -0.78 0.045 -0.08 -0.54 1 8.6e+03 5.6e-05 0.00063 -1.3 -
70 -1.4 0.95 0.95 -1.3 -0.78 0.045 -0.08 -0.54 1 8.6e+03 5.6e-05 0.00031 -0.21 -
71 -1.4 0.95 0.95 -1.3 -0.78 0.044 -0.08 -0.54 1 8.6e+03 3e-05 0.00031 0.59 +
72 -1.4 0.95 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 1.1e-05 0.0031 0.92 ++
73 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 2.9e-05 0.0031 0.79 +
74 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 2.9e-05 0.0016 -4 -
75 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 2.9e-05 0.00079 -1.5 -
76 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 2.9e-05 0.00039 -0.69 -
77 -1.4 0.96 0.95 -1.3 -0.78 0.045 -0.079 -0.54 1 8.6e+03 2.9e-05 0.0002 -0.16 -
78 -1.4 0.96 0.95 -1.3 -0.78 0.044 -0.079 -0.54 1 8.6e+03 2.8e-05 0.0002 0.1 +
79 -1.4 0.96 0.95 -1.3 -0.78 0.044 -0.079 -0.54 1 8.6e+03 4.6e-06 0.0002 0.94 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000133
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_train b_cost b_time_swissmet asc_car b_time_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.4 -
1 -0.5 -0.5 -0.5 0.5 0.5 -0.5 1.5 9.7e+03 0.14 0.5 0.3 +
2 -0.35 -0.49 -0.71 0.057 0.47 -0.45 1 9.2e+03 0.077 0.5 0.49 +
3 -0.4 -0.67 -0.68 0.053 0.26 -0.69 1 9.1e+03 0.066 0.5 0.51 +
4 -0.4 -0.67 -0.68 0.053 0.26 -0.69 1 9.1e+03 0.066 0.25 -1.1 -
5 -0.4 -0.67 -0.68 0.053 0.26 -0.69 1 9.1e+03 0.066 0.12 -0.25 -
6 -0.4 -0.67 -0.68 0.053 0.26 -0.69 1 9.1e+03 0.066 0.062 -0.035 -
7 -0.46 -0.74 -0.75 -0.0095 0.32 -0.62 1.1 9e+03 0.045 0.062 0.59 +
8 -0.4 -0.72 -0.74 -0.072 0.26 -0.62 1 8.9e+03 0.034 0.062 0.64 +
9 -0.45 -0.78 -0.72 -0.13 0.2 -0.56 1.1 8.9e+03 0.025 0.062 0.73 +
10 -0.41 -0.79 -0.71 -0.2 0.14 -0.62 1 8.9e+03 0.033 0.062 0.85 +
11 -0.45 -0.85 -0.7 -0.26 0.11 -0.6 1.1 8.8e+03 0.023 0.062 0.88 +
12 -0.43 -0.87 -0.7 -0.32 0.051 -0.65 1 8.8e+03 0.027 0.062 0.89 +
13 -0.43 -0.93 -0.71 -0.38 0.039 -0.63 1 8.8e+03 0.018 0.062 0.87 +
14 -0.42 -0.97 -0.71 -0.45 -0.024 -0.68 1 8.8e+03 0.023 0.62 0.91 ++
15 -0.42 -0.97 -0.71 -0.45 -0.024 -0.68 1 8.8e+03 0.023 0.31 -0.51 -
16 -0.39 -1.3 -0.74 -0.76 -0.16 -0.63 1 8.7e+03 0.073 0.31 0.17 +
17 -0.28 -1.3 -0.74 -1.1 -0.42 -0.87 1 8.6e+03 0.041 0.31 0.58 +
18 -0.28 -1.3 -0.74 -1.1 -0.42 -0.87 1 8.6e+03 0.041 0.16 -1.6 -
19 -0.28 -1.3 -0.74 -1.1 -0.42 -0.87 1 8.6e+03 0.041 0.078 0.031 -
20 -0.32 -1.4 -0.74 -1.1 -0.4 -0.85 1 8.6e+03 0.011 0.078 0.71 +
21 -0.29 -1.4 -0.75 -1.1 -0.41 -0.84 1 8.6e+03 0.02 0.078 0.36 +
22 -0.3 -1.5 -0.75 -1.1 -0.43 -0.88 1 8.6e+03 0.011 0.078 0.73 +
23 -0.3 -1.5 -0.75 -1.1 -0.43 -0.88 1 8.6e+03 0.011 0.039 -0.74 -
24 -0.3 -1.5 -0.75 -1.1 -0.43 -0.88 1 8.6e+03 0.011 0.02 0.05 -
25 -0.3 -1.5 -0.76 -1.2 -0.41 -0.86 1 8.6e+03 0.011 0.02 0.25 +
26 -0.28 -1.5 -0.74 -1.2 -0.43 -0.88 1 8.6e+03 0.0056 0.2 0.93 ++
27 -0.28 -1.5 -0.74 -1.2 -0.43 -0.88 1 8.6e+03 0.0056 0.098 -0.21 -
28 -0.22 -1.6 -0.84 -1.3 -0.48 -0.91 1 8.6e+03 0.0077 0.098 0.56 +
29 -0.19 -1.7 -0.79 -1.4 -0.53 -0.99 1 8.6e+03 0.014 0.098 0.34 +
30 -0.19 -1.7 -0.79 -1.4 -0.53 -0.99 1 8.6e+03 0.014 0.049 -0.69 -
31 -0.21 -1.7 -0.75 -1.4 -0.51 -0.95 1 8.6e+03 0.012 0.049 0.15 +
32 -0.21 -1.7 -0.75 -1.4 -0.51 -0.95 1 8.6e+03 0.012 0.024 -0.86 -
33 -0.19 -1.7 -0.77 -1.4 -0.53 -0.97 1 8.6e+03 0.0074 0.024 0.71 +
34 -0.19 -1.7 -0.77 -1.4 -0.53 -0.97 1 8.6e+03 0.0074 0.012 -1.2 -
35 -0.19 -1.7 -0.77 -1.4 -0.53 -0.97 1 8.6e+03 0.0074 0.0061 0.00082 -
36 -0.19 -1.7 -0.77 -1.4 -0.53 -0.98 1 8.6e+03 0.0039 0.0061 0.52 +
37 -0.19 -1.7 -0.78 -1.4 -0.53 -0.97 1 8.6e+03 0.0014 0.0061 0.84 +
38 -0.19 -1.7 -0.78 -1.4 -0.53 -0.98 1 8.6e+03 0.0013 0.061 0.97 ++
39 -0.15 -1.8 -0.8 -1.5 -0.55 -1 1 8.6e+03 0.0011 0.061 0.61 +
40 -0.15 -1.8 -0.8 -1.5 -0.55 -1 1 8.6e+03 0.0011 0.031 -2.3 -
41 -0.15 -1.8 -0.8 -1.5 -0.55 -1 1 8.6e+03 0.0011 0.015 -0.14 -
42 -0.15 -1.8 -0.79 -1.5 -0.55 -1 1 8.6e+03 0.0011 0.015 0.45 +
43 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00022 0.015 0.38 +
44 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00037 0.015 0.19 +
45 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00037 0.0076 -1.2 -
46 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00037 0.0038 -0.4 -
47 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00037 0.0019 -0.39 -
48 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00037 0.00095 0.042 -
49 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00018 0.00095 0.46 +
50 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00021 0.0095 0.96 ++
51 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00021 0.0048 0.09 -
52 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00039 0.0048 0.4 +
53 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.00039 0.0024 -0.46 -
54 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.0001 0.0024 0.45 +
55 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 0.0001 0.0012 0.065 -
56 -0.15 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 5.7e-05 0.0012 0.9 +
57 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 4.6e-05 0.0012 0.46 +
58 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 4.6e-05 0.0006 -3.1 -
59 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 4.6e-05 0.0003 -1.6 -
60 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 4.6e-05 0.00015 -0.49 -
61 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 4.6e-05 7.5e-05 0.0063 -
62 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 3.3e-05 7.5e-05 0.32 +
63 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 9.3e-06 7.5e-05 0.87 +
64 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 1.5e-05 7.5e-05 0.75 +
65 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 1.1e-05 7.5e-05 0.85 +
66 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 1.1e-05 7.5e-05 0.48 +
67 -0.14 -1.8 -0.79 -1.5 -0.54 -1 1 8.6e+03 5.1e-06 7.5e-05 0.61 +
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 79/100
Considering neighbor 0/20 for current solution
Attempt 80/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000134
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ b_time_train b_cost b_time_swissmet asc_car_ref asc_car_diff_on asc_car_diff_se b_time_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1 1.1e+04 0.4 0.5 -0.62 -
1 -0.5 -0.5 -0.5 -0.5 -0.5 0.5 0.5 -0.5 -0.5 -0.5 1.5 1e+04 0.19 0.5 0.14 +
2 -0.33 -0.26 -0.49 -0.41 -0.67 0.076 0.61 -0.41 -0.5 -0.3 1 9.3e+03 0.1 0.5 0.59 +
3 -0.39 -0.24 -0.48 -0.55 -0.63 0.18 0.44 -0.49 -0.51 -0.55 1 9.2e+03 0.076 0.5 0.48 +
4 -0.53 -0.075 -0.46 -1.1 -0.68 -0.24 0.4 -0.39 -0.52 -0.5 1.1 9.1e+03 0.088 0.5 0.11 +
5 -0.53 -0.075 -0.46 -1.1 -0.68 -0.24 0.4 -0.39 -0.52 -0.5 1.1 9.1e+03 0.088 0.25 -0.19 -
6 -0.33 0.16 -0.44 -0.84 -0.7 -0.49 0.24 -0.42 -0.53 -0.68 1 8.9e+03 0.097 0.25 0.49 +
7 -0.44 0.14 -0.43 -1.1 -0.68 -0.45 0.18 -0.4 -0.53 -0.75 1.1 8.8e+03 0.054 0.25 0.51 +
8 -0.44 0.14 -0.43 -1.1 -0.68 -0.45 0.18 -0.4 -0.53 -0.75 1.1 8.8e+03 0.054 0.12 -0.49 -
9 -0.44 0.14 -0.43 -1.1 -0.68 -0.45 0.18 -0.4 -0.53 -0.75 1.1 8.8e+03 0.054 0.062 0.065 -
10 -0.4 0.21 -0.42 -1 -0.7 -0.51 0.21 -0.36 -0.53 -0.69 1 8.7e+03 0.023 0.062 0.71 +
11 -0.46 0.27 -0.36 -1.1 -0.64 -0.58 0.15 -0.3 -0.59 -0.75 1.1 8.7e+03 0.023 0.062 0.87 +
12 -0.42 0.33 -0.34 -1.1 -0.68 -0.64 0.094 -0.28 -0.6 -0.76 1 8.7e+03 0.045 0.062 0.14 +
13 -0.47 0.32 -0.34 -1.2 -0.68 -0.65 0.094 -0.27 -0.6 -0.74 1.1 8.6e+03 0.015 0.062 0.83 +
14 -0.45 0.36 -0.32 -1.2 -0.69 -0.7 0.031 -0.27 -0.6 -0.8 1.1 8.6e+03 0.023 0.062 0.7 +
15 -0.47 0.37 -0.31 -1.2 -0.7 -0.76 0.03 -0.25 -0.6 -0.78 1.1 8.6e+03 0.015 0.062 0.86 +
16 -0.48 0.41 -0.3 -1.3 -0.7 -0.8 -0.033 -0.26 -0.61 -0.83 1.1 8.6e+03 0.019 0.062 0.84 +
17 -0.49 0.43 -0.29 -1.3 -0.71 -0.86 -0.036 -0.24 -0.61 -0.81 1.1 8.6e+03 0.014 0.062 0.86 +
18 -0.5 0.46 -0.27 -1.3 -0.71 -0.92 -0.098 -0.24 -0.61 -0.86 1.1 8.6e+03 0.014 0.062 0.87 +
19 -0.52 0.48 -0.25 -1.4 -0.72 -0.98 -0.11 -0.22 -0.61 -0.85 1.1 8.6e+03 0.013 0.062 0.81 +
20 -0.53 0.52 -0.23 -1.4 -0.72 -1 -0.17 -0.21 -0.62 -0.89 1 8.5e+03 0.019 0.062 0.82 +
21 -0.56 0.52 -0.21 -1.5 -0.73 -1.1 -0.19 -0.2 -0.62 -0.89 1 8.5e+03 0.0092 0.062 0.72 +
22 -0.56 0.56 -0.19 -1.5 -0.74 -1.1 -0.22 -0.18 -0.62 -0.9 1 8.5e+03 0.017 0.062 0.74 +
23 -0.58 0.57 -0.18 -1.5 -0.74 -1.1 -0.26 -0.18 -0.62 -0.94 1 8.5e+03 0.016 0.062 0.45 +
24 -0.58 0.57 -0.18 -1.5 -0.74 -1.1 -0.26 -0.18 -0.62 -0.94 1 8.5e+03 0.016 0.031 -0.019 -
25 -0.58 0.57 -0.17 -1.5 -0.75 -1.2 -0.24 -0.17 -0.62 -0.9 1 8.5e+03 0.011 0.031 0.6 +
26 -0.58 0.6 -0.16 -1.6 -0.75 -1.2 -0.27 -0.17 -0.62 -0.93 1 8.5e+03 0.0087 0.031 0.89 +
27 -0.6 0.6 -0.14 -1.6 -0.75 -1.2 -0.28 -0.16 -0.62 -0.93 1 8.5e+03 0.0082 0.031 0.79 +
28 -0.6 0.63 -0.13 -1.6 -0.75 -1.2 -0.31 -0.16 -0.63 -0.95 1 8.5e+03 0.0084 0.031 0.84 +
29 -0.61 0.64 -0.11 -1.6 -0.76 -1.3 -0.31 -0.15 -0.63 -0.94 1 8.5e+03 0.0061 0.031 0.76 +
30 -0.63 0.66 -0.088 -1.6 -0.76 -1.3 -0.34 -0.14 -0.63 -0.96 1 8.5e+03 0.0072 0.031 0.85 +
31 -0.63 0.67 -0.07 -1.6 -0.76 -1.3 -0.35 -0.14 -0.63 -0.96 1 8.5e+03 0.006 0.031 0.84 +
32 -0.64 0.69 -0.039 -1.7 -0.77 -1.3 -0.38 -0.13 -0.63 -0.98 1 8.5e+03 0.0055 0.31 0.91 ++
33 -0.64 0.69 -0.039 -1.7 -0.77 -1.3 -0.38 -0.13 -0.63 -0.98 1 8.5e+03 0.0055 0.16 -1.3 -
34 -0.64 0.69 -0.039 -1.7 -0.77 -1.3 -0.38 -0.13 -0.63 -0.98 1 8.5e+03 0.0055 0.078 -0.13 -
35 -0.68 0.73 0.039 -1.7 -0.78 -1.4 -0.42 -0.1 -0.63 -0.98 1 8.5e+03 0.012 0.078 0.37 +
36 -0.69 0.78 0.12 -1.7 -0.79 -1.5 -0.47 -0.1 -0.63 -1 1 8.5e+03 0.022 0.078 0.16 +
37 -0.71 0.77 0.12 -1.7 -0.78 -1.5 -0.47 -0.1 -0.63 -1 1 8.5e+03 0.0022 0.078 0.86 +
38 -0.73 0.79 0.2 -1.7 -0.78 -1.5 -0.48 -0.094 -0.63 -1 1 8.5e+03 0.0022 0.78 0.94 ++
39 -0.98 0.92 0.98 -1.7 -0.81 -1.5 -0.56 -0.065 -0.61 -0.99 1 8.5e+03 0.012 0.78 0.34 +
40 -0.98 0.92 0.98 -1.7 -0.81 -1.5 -0.56 -0.065 -0.61 -0.99 1 8.5e+03 0.012 0.39 -24 -
41 -0.98 0.92 0.98 -1.7 -0.81 -1.5 -0.56 -0.065 -0.61 -0.99 1 8.5e+03 0.012 0.2 -10 -
42 -0.98 0.92 0.98 -1.7 -0.81 -1.5 -0.56 -0.065 -0.61 -0.99 1 8.5e+03 0.012 0.098 -2.3 -
43 -0.98 0.92 0.98 -1.7 -0.81 -1.5 -0.56 -0.065 -0.61 -0.99 1 8.5e+03 0.012 0.049 -0.11 -
44 -0.95 0.96 0.96 -1.7 -0.76 -1.5 -0.51 -0.076 -0.59 -0.99 1 8.5e+03 0.0022 0.049 0.61 +
45 -0.95 0.95 0.95 -1.7 -0.81 -1.5 -0.51 -0.073 -0.59 -0.99 1 8.5e+03 0.0018 0.049 0.31 +
46 -0.95 0.95 0.95 -1.7 -0.81 -1.5 -0.51 -0.073 -0.59 -0.99 1 8.5e+03 0.0018 0.024 -3.5 -
47 -0.95 0.95 0.95 -1.7 -0.81 -1.5 -0.51 -0.073 -0.59 -0.99 1 8.5e+03 0.0018 0.012 -1.8 -
48 -0.95 0.95 0.95 -1.7 -0.81 -1.5 -0.51 -0.073 -0.59 -0.99 1 8.5e+03 0.0018 0.0061 -2.1 -
49 -0.95 0.96 0.95 -1.7 -0.8 -1.5 -0.51 -0.074 -0.58 -1 1 8.5e+03 0.0038 0.0061 0.11 +
50 -0.95 0.95 0.95 -1.7 -0.8 -1.5 -0.51 -0.072 -0.58 -0.99 1 8.5e+03 0.0018 0.0061 0.79 +
51 -0.95 0.95 0.95 -1.7 -0.79 -1.5 -0.51 -0.073 -0.58 -1 1 8.5e+03 0.00085 0.0061 0.72 +
52 -0.95 0.95 0.95 -1.7 -0.79 -1.5 -0.51 -0.073 -0.58 -1 1 8.5e+03 0.00085 0.0031 0.074 -
53 -0.95 0.95 0.94 -1.7 -0.79 -1.5 -0.51 -0.072 -0.58 -0.99 1 8.5e+03 0.00093 0.0031 0.55 +
54 -0.95 0.95 0.94 -1.7 -0.79 -1.5 -0.51 -0.073 -0.57 -0.99 1 8.5e+03 0.00038 0.0031 0.88 +
55 -0.95 0.94 0.94 -1.7 -0.79 -1.5 -0.51 -0.073 -0.57 -1 1 8.5e+03 0.00038 0.031 0.96 ++
56 -0.93 0.93 0.91 -1.7 -0.79 -1.5 -0.52 -0.076 -0.54 -1 1 8.5e+03 0.0015 0.031 0.67 +
57 -0.93 0.93 0.91 -1.7 -0.79 -1.5 -0.52 -0.076 -0.54 -1 1 8.5e+03 0.0015 0.015 -1.4 -
58 -0.93 0.93 0.91 -1.7 -0.79 -1.5 -0.52 -0.076 -0.54 -1 1 8.5e+03 0.0015 0.0076 -0.43 -
59 -0.93 0.93 0.91 -1.7 -0.79 -1.5 -0.52 -0.076 -0.54 -1 1 8.5e+03 0.0015 0.0038 0.00052 -
60 -0.93 0.93 0.91 -1.7 -0.79 -1.5 -0.52 -0.076 -0.54 -1 1 8.5e+03 0.0015 0.0019 0.052 -
61 -0.93 0.93 0.9 -1.7 -0.79 -1.5 -0.51 -0.074 -0.54 -1 1 8.5e+03 0.00033 0.0019 0.69 +
62 -0.93 0.93 0.9 -1.7 -0.79 -1.5 -0.51 -0.074 -0.54 -1 1 8.5e+03 0.00022 0.0019 0.83 +
63 -0.93 0.93 0.9 -1.7 -0.79 -1.5 -0.51 -0.074 -0.54 -1 1 8.5e+03 0.00033 0.0019 0.72 +
64 -0.93 0.93 0.9 -1.7 -0.79 -1.5 -0.51 -0.074 -0.54 -1 1 8.5e+03 0.00046 0.0019 0.87 +
65 -0.93 0.93 0.9 -1.7 -0.79 -1.5 -0.51 -0.073 -0.53 -1 1 8.5e+03 0.00033 0.0019 0.88 +
66 -0.93 0.93 0.9 -1.7 -0.79 -1.5 -0.51 -0.073 -0.53 -1 1 8.5e+03 0.00039 0.019 0.92 ++
67 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.072 -0.51 -1 1 8.5e+03 0.00032 0.019 0.85 +
68 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.072 -0.51 -1 1 8.5e+03 0.00032 0.0095 0.065 -
69 -0.92 0.92 0.88 -1.7 -0.79 -1.5 -0.51 -0.075 -0.5 -1 1 8.5e+03 0.00032 0.0095 0.58 +
70 -0.92 0.92 0.88 -1.7 -0.79 -1.5 -0.51 -0.075 -0.5 -1 1 8.5e+03 0.00032 0.0048 -2.6 -
71 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.071 -0.5 -1 1 8.5e+03 0.00037 0.0048 0.24 +
72 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.071 -0.5 -1 1 8.5e+03 0.00037 0.0024 -1.8 -
73 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.071 -0.5 -1 1 8.5e+03 0.00037 0.0012 -1.1 -
74 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.071 -0.5 -1 1 8.5e+03 0.00037 0.0006 0.071 -
75 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.071 -0.5 -1 1 8.5e+03 0.00025 0.0006 0.5 +
76 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.072 -0.5 -1 1 8.5e+03 0.0001 0.006 0.91 ++
77 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.072 -0.5 -1 1 8.5e+03 0.0001 0.003 -2.9 -
78 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.072 -0.5 -1 1 8.5e+03 0.0001 0.0015 -1.2 -
79 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.072 -0.5 -1 1 8.5e+03 0.0001 0.00075 -0.47 -
80 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.072 -0.5 -1 1 8.5e+03 0.00023 0.00075 0.27 +
81 -0.92 0.93 0.88 -1.7 -0.79 -1.5 -0.51 -0.073 -0.5 -1 1 8.5e+03 0.00012 0.00075 0.89 +
82 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.5 -1 1 8.5e+03 8e-05 0.0075 0.98 ++
83 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.49 -1 1 8.5e+03 0.00014 0.0075 0.57 +
84 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.49 -1 1 8.5e+03 0.00014 0.0037 -0.24 -
85 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.49 -1 1 8.5e+03 0.00014 0.0019 -0.13 -
86 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.49 -1 1 8.5e+03 8.4e-05 0.0019 0.55 +
87 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.49 -1 1 8.5e+03 5.6e-05 0.0019 0.56 +
88 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 3.2e-05 0.0019 0.87 +
89 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.072 -0.48 -1 1 8.5e+03 6.7e-05 0.0019 0.6 +
90 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 2.3e-05 0.019 0.9 ++
91 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 2.3e-05 0.0093 -0.82 -
92 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 2.3e-05 0.0047 -1 -
93 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 2.3e-05 0.0023 -0.3 -
94 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.072 -0.48 -1 1 8.5e+03 2.6e-05 0.0023 0.52 +
95 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.072 -0.48 -1 1 8.5e+03 2.6e-05 0.0012 -1.1 -
96 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.072 -0.48 -1 1 8.5e+03 2.6e-05 0.00058 0.031 -
97 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 6.9e-05 0.00058 0.66 +
98 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 9.8e-06 0.0058 0.92 ++
99 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 9.8e-06 0.0029 -0.4 -
100 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 9.8e-06 0.0015 -0.11 -
101 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 9.8e-06 0.00073 -0.28 -
102 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 2e-05 0.00073 0.51 +
103 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 7.3e-06 0.0073 0.9 ++
104 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 7.3e-06 0.0036 -2.3 -
105 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.48 -1 1 8.5e+03 7.3e-06 0.0018 -0.47 -
106 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.072 -0.47 -1 1 8.5e+03 3.5e-05 0.0018 0.2 +
107 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.47 -1 1 8.5e+03 1.6e-05 0.0018 0.6 +
108 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.47 -1 1 8.5e+03 1.6e-05 0.00091 -5.1 -
109 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.47 -1 1 8.5e+03 1.6e-05 0.00045 -2.5 -
110 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.47 -1 1 8.5e+03 1.6e-05 0.00023 -0.62 -
111 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.47 -1 1 8.5e+03 3e-05 0.00023 0.52 +
112 -0.92 0.92 0.87 -1.7 -0.79 -1.5 -0.51 -0.073 -0.47 -1 1 8.5e+03 2.8e-06 0.00023 0.67 +
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 81/100
Considering neighbor 0/20 for current solution
Attempt 82/100
Biogeme parameters read from biogeme.toml.
Model with 18 unknown parameters [max: 50]
*** Estimate b07everything_000135
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -1.1 -
1 1.1e+04 0.4 0.25 -0.37 -
2 9.9e+03 0.18 0.25 0.3 +
3 9.9e+03 0.18 0.12 -0.16 -
4 9.4e+03 0.078 0.12 0.72 +
5 9.2e+03 0.094 0.12 0.79 +
6 9.1e+03 0.065 0.12 0.75 +
7 8.9e+03 0.058 0.12 0.87 +
8 8.8e+03 0.069 0.12 0.77 +
9 8.7e+03 0.045 0.12 0.86 +
10 8.6e+03 0.051 0.12 0.81 +
11 8.5e+03 0.046 0.12 0.75 +
12 8.4e+03 0.047 0.12 0.64 +
13 8.4e+03 0.034 0.12 0.53 +
14 8.4e+03 0.034 0.062 0.069 -
15 8.3e+03 0.025 0.062 0.67 +
16 8.3e+03 0.024 0.062 0.86 +
17 8.3e+03 0.029 0.062 0.54 +
18 8.3e+03 0.022 0.062 0.69 +
19 8.3e+03 0.031 0.062 0.16 +
20 8.3e+03 0.019 0.062 0.56 +
21 8.3e+03 0.019 0.031 -0.44 -
22 8.3e+03 0.026 0.031 0.26 +
23 8.2e+03 0.018 0.031 0.67 +
24 8.2e+03 0.015 0.031 0.69 +
25 8.2e+03 0.011 0.031 0.82 +
26 8.2e+03 0.013 0.031 0.73 +
27 8.2e+03 0.0083 0.031 0.88 +
28 8.2e+03 0.0093 0.031 0.76 +
29 8.2e+03 0.0095 0.031 0.77 +
30 8.2e+03 0.0095 0.016 0.061 -
31 8.2e+03 0.013 0.016 0.48 +
32 8.2e+03 0.0056 0.16 0.91 ++
33 8.2e+03 0.024 0.16 0.3 +
34 8.2e+03 0.028 0.16 0.34 +
35 8.2e+03 0.005 0.16 0.86 +
36 8.2e+03 0.005 0.078 -0.63 -
37 8.1e+03 0.011 0.078 0.27 +
38 8.1e+03 0.011 0.039 0.02 -
39 8.1e+03 0.014 0.039 0.12 +
40 8.1e+03 0.0056 0.039 0.56 +
41 8.1e+03 0.0059 0.039 0.75 +
42 8.1e+03 0.0029 0.039 0.86 +
43 8.1e+03 0.0046 0.39 0.98 ++
44 8.1e+03 0.0046 0.2 -8.8 -
45 8.1e+03 0.0046 0.098 -3.7 -
46 8.1e+03 0.0046 0.049 -2 -
47 8.1e+03 0.0046 0.024 -1.5 -
48 8.1e+03 0.0046 0.012 -1.1 -
49 8.1e+03 0.0071 0.012 0.26 +
50 8.1e+03 0.0026 0.012 0.76 +
51 8.1e+03 0.0033 0.12 0.94 ++
52 8.1e+03 0.011 0.12 0.75 +
53 8.1e+03 0.012 0.12 0.32 +
54 8.1e+03 0.012 0.061 -1.1 -
55 8.1e+03 0.0055 0.061 0.55 +
56 8.1e+03 0.0055 0.031 -0.0055 -
57 8.1e+03 0.0055 0.015 -0.82 -
58 8.1e+03 0.0034 0.015 0.61 +
59 8.1e+03 0.0027 0.015 0.86 +
60 8.1e+03 0.0022 0.15 0.97 ++
61 8.1e+03 0.014 0.15 0.44 +
62 8.1e+03 0.0018 0.15 0.85 +
63 8.1e+03 0.0018 0.076 -1.9 -
64 8.1e+03 0.0018 0.038 -0.42 -
65 8.1e+03 0.0024 0.038 0.34 +
66 8.1e+03 0.00057 0.038 0.82 +
67 8.1e+03 0.003 0.038 0.12 +
68 8.1e+03 0.003 0.019 0.032 -
69 8.1e+03 0.00076 0.019 0.55 +
70 8.1e+03 0.0014 0.019 0.23 +
71 8.1e+03 0.00063 0.019 0.64 +
72 8.1e+03 0.00063 0.0095 -0.3 -
73 8.1e+03 0.00059 0.0095 0.44 +
74 8.1e+03 0.00059 0.0048 -0.52 -
75 8.1e+03 0.00025 0.0048 0.66 +
76 8.1e+03 0.00025 0.0024 0.099 -
77 8.1e+03 9.1e-05 0.0024 0.75 +
78 8.1e+03 0.00012 0.0024 0.82 +
79 8.1e+03 0.00028 0.0024 0.65 +
80 8.1e+03 0.00018 0.0024 0.72 +
81 8.1e+03 7.3e-05 0.0024 0.85 +
82 8.1e+03 0.00014 0.0024 0.66 +
83 8.1e+03 0.00011 0.0024 0.42 +
84 8.1e+03 8.2e-05 0.0024 0.53 +
85 8.1e+03 7.8e-05 0.0024 0.47 +
86 8.1e+03 7.8e-05 0.0012 -0.53 -
87 8.1e+03 5.9e-05 0.0012 0.8 +
88 8.1e+03 5.9e-05 0.0006 -0.39 -
89 8.1e+03 4.1e-05 0.0006 0.57 +
90 8.1e+03 7e-05 0.0006 0.62 +
91 8.1e+03 5.1e-05 0.0006 0.64 +
92 8.1e+03 1.4e-05 0.006 0.93 ++
93 8.1e+03 4.4e-05 0.006 0.46 +
94 8.1e+03 4.4e-05 0.003 -6.3 -
95 8.1e+03 4.4e-05 0.0015 -3.5 -
96 8.1e+03 4.4e-05 0.00075 -0.62 -
97 8.1e+03 3.6e-05 0.00075 0.41 +
98 8.1e+03 3.6e-05 0.00037 0.076 -
99 8.1e+03 2e-05 0.00037 0.63 +
100 8.1e+03 2e-05 0.00019 0.079 -
101 8.1e+03 8.3e-06 0.00019 0.49 +
102 8.1e+03 7.9e-06 0.00019 0.76 +
103 8.1e+03 3.7e-06 0.00019 0.65 +
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 83/100
Considering neighbor 0/20 for current solution
Attempt 84/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000136
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -2.1 -
1 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.14 -
2 -0.25 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 2 2.5 1 ++
3 -0.25 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 2 1.2 -5.7 -
4 -0.25 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 2 0.62 -4.2 -
5 -0.25 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 2 0.31 -1.6 -
6 -0.25 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.0062 9.5e+03 2 0.16 -0.17 -
7 -0.35 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 0.0079 9.4e+03 11 0.16 0.21 +
8 -0.35 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 0.0079 9.4e+03 11 0.078 -0.79 -
9 -0.35 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 0.0079 9.4e+03 11 0.039 -0.7 -
10 -0.35 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 0.0079 9.4e+03 11 0.02 -0.65 -
11 -0.35 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 0.0079 9.4e+03 11 0.0098 -0.52 -
12 -0.35 -0.41 -0.089 0.11 -0.0038 -0.35 0.24 0.028 0.0079 9.4e+03 11 0.0049 -0.09 -
13 -0.36 -0.41 -0.084 0.12 0.0011 -0.36 0.23 0.033 0.013 9.2e+03 5.2 0.0049 0.33 +
14 -0.36 -0.41 -0.084 0.12 0.0011 -0.36 0.23 0.033 0.013 9.2e+03 5.2 0.0024 -0.52 -
15 -0.36 -0.41 -0.081 0.12 -0.0013 -0.36 0.23 0.035 0.015 9.1e+03 4.5 0.0024 0.62 +
16 -0.36 -0.42 -0.082 0.12 -0.00086 -0.36 0.23 0.036 0.016 9.1e+03 2.7 0.024 1.3 ++
17 -0.37 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 0.021 9.1e+03 5.5 0.024 0.63 +
18 -0.37 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 0.021 9.1e+03 5.5 0.012 -2.7 -
19 -0.37 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 0.021 9.1e+03 5.5 0.0061 -2.1 -
20 -0.37 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 0.021 9.1e+03 5.5 0.0031 -1.7 -
21 -0.37 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 0.021 9.1e+03 5.5 0.0015 -1.1 -
22 -0.37 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 0.021 9.1e+03 5.5 0.00076 -0.5 -
23 -0.37 -0.44 -0.086 0.13 -0.00052 -0.37 0.21 0.041 0.021 9.1e+03 5.5 0.00038 0.062 -
24 -0.37 -0.44 -0.086 0.14 -0.0009 -0.37 0.21 0.041 0.021 9.1e+03 2.6 0.00038 0.62 +
25 -0.37 -0.44 -0.086 0.14 -0.0009 -0.37 0.21 0.041 0.021 9.1e+03 2.6 0.00019 -0.87 -
26 -0.37 -0.44 -0.086 0.14 -0.0009 -0.37 0.21 0.041 0.021 9.1e+03 2.6 9.5e-05 -0.63 -
27 -0.37 -0.44 -0.086 0.14 -0.00081 -0.37 0.21 0.041 0.021 9.1e+03 1.2 9.5e-05 0.62 +
28 -0.37 -0.44 -0.086 0.14 -0.00083 -0.37 0.21 0.041 0.021 9.1e+03 0.059 0.00095 1 ++
29 -0.37 -0.44 -0.086 0.14 -0.00083 -0.38 0.2 0.041 0.021 9.1e+03 0.29 0.0095 1 ++
30 -0.38 -0.45 -0.087 0.14 -0.00085 -0.38 0.19 0.043 0.023 9.1e+03 0.058 0.095 1 ++
31 -0.41 -0.53 -0.097 0.19 -0.0011 -0.43 0.099 0.055 0.037 8.9e+03 0.19 0.95 0.99 ++
32 -0.51 -0.97 -0.08 -0.13 0.00029 -1.4 -0.73 -0.49 -0.31 8.7e+03 13 0.95 0.61 +
33 -0.51 -0.97 -0.08 -0.13 0.00029 -1.4 -0.73 -0.49 -0.31 8.7e+03 13 0.48 -0.13 -
34 -0.44 -1.4 -0.21 -0.041 -5.8e-05 -1.5 -0.64 -0.5 -0.36 8.5e+03 16 0.48 0.49 +
35 -0.44 -1.4 -0.21 -0.041 -5.8e-05 -1.5 -0.64 -0.5 -0.36 8.5e+03 16 0.24 -0.23 -
36 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.24 0.47 +
37 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.12 -0.81 -
38 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.06 -0.6 -
39 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.03 -0.44 -
40 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.015 -0.39 -
41 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.0075 -0.37 -
42 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.0037 -0.44 -
43 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.0019 -0.5 -
44 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.00093 -0.54 -
45 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.00047 -0.56 -
46 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.00023 -0.35 -
47 -0.23 -1.7 -0.31 -0.12 0.00021 -1.5 -0.77 -0.4 -0.31 8.4e+03 40 0.00012 0.038 -
48 -0.23 -1.7 -0.31 -0.12 0.00032 -1.5 -0.76 -0.4 -0.31 8.4e+03 6.9 0.00012 0.44 +
49 -0.23 -1.7 -0.31 -0.12 0.00029 -1.5 -0.76 -0.4 -0.31 8.4e+03 0.54 0.0012 0.96 ++
50 -0.23 -1.7 -0.31 -0.12 0.00028 -1.5 -0.76 -0.4 -0.31 8.4e+03 0.19 0.012 1 ++
51 -0.23 -1.7 -0.31 -0.11 0.0002 -1.5 -0.76 -0.4 -0.31 8.4e+03 15 0.12 0.92 ++
52 -0.12 -1.8 -0.37 -0.1 0.00017 -1.6 -0.73 -0.39 -0.34 8.4e+03 1.2 1.2 0.98 ++
53 0.25 -2.1 -0.99 -0.11 0.00023 -2 -0.81 -0.25 -0.38 8.3e+03 5.2 12 0.99 ++
54 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 8.3e+03 0.42 1.2e+02 0.99 ++
55 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 8.3e+03 0.011 1.2e+03 1 ++
56 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 8.3e+03 0.00019 1.2e+04 1 ++
57 0.26 -2.1 -1.1 -0.11 0.00021 -2 -0.82 -0.26 -0.39 8.3e+03 5e-07 1.2e+04 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 15 unknown parameters [max: 50]
*** Estimate b07everything_000137
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se b_cost_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -2.3 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.25 -0.41 -
2 -0.25 -0.00017 -0.15 -0.0057 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 2.1 2.5 1.1 ++
3 -0.25 -0.00017 -0.15 -0.0057 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 2.1 1.2 -6.2 -
4 -0.25 -0.00017 -0.15 -0.0057 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 2.1 0.62 -4.8 -
5 -0.25 -0.00017 -0.15 -0.0057 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 2.1 0.31 -1.6 -
6 -0.25 -0.00017 -0.15 -0.0057 -0.25 -0.048 0 0 -0.25 0.25 0.0078 -0.023 -0.0062 -0.0018 -0.0062 9.5e+03 2.1 0.16 -0.23 -
7 -0.34 0.021 -0.17 -0.0075 -0.41 -0.09 0.11 -0.0037 -0.35 0.23 0.025 -0.05 -0.011 -0.0038 0.0051 9.4e+03 11 0.16 0.17 +
8 -0.34 0.021 -0.17 -0.0075 -0.41 -0.09 0.11 -0.0037 -0.35 0.23 0.025 -0.05 -0.011 -0.0038 0.0051 9.4e+03 11 0.078 -0.79 -
9 -0.34 0.021 -0.17 -0.0075 -0.41 -0.09 0.11 -0.0037 -0.35 0.23 0.025 -0.05 -0.011 -0.0038 0.0051 9.4e+03 11 0.039 -0.7 -
10 -0.34 0.021 -0.17 -0.0075 -0.41 -0.09 0.11 -0.0037 -0.35 0.23 0.025 -0.05 -0.011 -0.0038 0.0051 9.4e+03 11 0.02 -0.64 -
11 -0.34 0.021 -0.17 -0.0075 -0.41 -0.09 0.11 -0.0037 -0.35 0.23 0.025 -0.05 -0.011 -0.0038 0.0051 9.4e+03 11 0.0098 -0.58 -
12 -0.34 0.021 -0.17 -0.0075 -0.41 -0.09 0.11 -0.0037 -0.35 0.23 0.025 -0.05 -0.011 -0.0038 0.0051 9.4e+03 11 0.0049 -0.11 -
13 -0.35 0.026 -0.17 -0.012 -0.41 -0.085 0.12 0.0012 -0.35 0.22 0.03 -0.055 -0.016 -0.0087 0.01 9.2e+03 5.2 0.0049 0.32 +
14 -0.35 0.026 -0.17 -0.012 -0.41 -0.085 0.12 0.0012 -0.35 0.22 0.03 -0.055 -0.016 -0.0087 0.01 9.2e+03 5.2 0.0024 -0.49 -
15 -0.35 0.028 -0.16 -0.015 -0.41 -0.083 0.12 -0.0013 -0.35 0.22 0.032 -0.057 -0.018 -0.011 0.012 9.1e+03 4.1 0.0024 0.66 +
16 -0.35 0.029 -0.16 -0.015 -0.42 -0.083 0.12 -0.0008 -0.36 0.22 0.033 -0.058 -0.019 -0.011 0.013 9.1e+03 1.5 0.024 1.4 ++
17 -0.36 0.037 -0.16 -0.015 -0.44 -0.086 0.13 -0.0008 -0.37 0.19 0.037 -0.065 -0.02 -0.012 0.017 9.1e+03 0.89 0.24 1 ++
18 -0.43 0.12 -0.12 -0.014 -0.63 -0.11 0.25 -0.0013 -0.49 -0.05 0.071 -0.14 -0.041 -0.018 0.053 8.8e+03 1.1 2.4 0.94 ++
19 -0.43 0.12 -0.12 -0.014 -0.63 -0.11 0.25 -0.0013 -0.49 -0.05 0.071 -0.14 -0.041 -0.018 0.053 8.8e+03 1.1 1.2 -60 -
20 -0.43 0.12 -0.12 -0.014 -0.63 -0.11 0.25 -0.0013 -0.49 -0.05 0.071 -0.14 -0.041 -0.018 0.053 8.8e+03 1.1 0.61 -8.1 -
21 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.61 0.88 +
22 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.31 -4.3 -
23 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.15 -4.4 -
24 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.076 -4.7 -
25 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.038 -5 -
26 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.019 -3.2 -
27 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.0095 -2.6 -
28 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.0048 -2.2 -
29 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.0024 -1.9 -
30 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.0012 -1.4 -
31 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.0006 -0.8 -
32 -0.56 0.67 0.23 0.0013 -1 -0.1 0.025 -0.0002 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 12 0.0003 -0.2 -
33 -0.56 0.67 0.23 0.0016 -1 -0.1 0.026 -0.0005 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 6.2 0.0003 0.29 +
34 -0.56 0.67 0.23 0.0016 -1 -0.1 0.026 -0.0005 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 6.2 0.00015 -0.46 -
35 -0.56 0.67 0.23 0.0018 -1 -0.1 0.026 -0.00035 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 4.8 0.00015 0.74 +
36 -0.56 0.67 0.23 0.0018 -1 -0.1 0.026 -0.00037 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 0.12 0.0015 0.98 ++
37 -0.56 0.67 0.23 0.0018 -1 -0.1 0.027 -0.00037 -1 -0.66 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 0.11 0.015 1 ++
38 -0.57 0.67 0.22 0.0019 -1 -0.1 0.042 -0.00044 -1 -0.65 -0.19 -0.53 -0.32 -0.06 -0.14 8.4e+03 0.09 0.15 1 ++
39 -0.71 0.73 0.18 0.01 -1.2 -0.14 -0.027 -0.00015 -1.1 -0.57 -0.2 -0.56 -0.25 -0.073 -0.18 8.3e+03 1 1.5 1.1 ++
40 -0.71 0.73 0.18 0.01 -1.2 -0.14 -0.027 -0.00015 -1.1 -0.57 -0.2 -0.56 -0.25 -0.073 -0.18 8.3e+03 1 0.66 -11 -
41 -0.79 1.1 0.43 0.069 -1.8 -0.37 -0.12 0.00025 -1.3 -0.84 -0.27 -0.74 -0.015 -0.14 -0.41 8.2e+03 20 0.66 0.66 +
42 -0.77 1.2 0.45 0.33 -2.2 -1 -0.094 0.00015 -1.1 -0.76 -0.14 -0.94 -0.05 -0.29 -0.29 8.1e+03 29 0.66 0.71 +
43 -0.77 1.2 0.45 0.33 -2.2 -1 -0.094 0.00015 -1.1 -0.76 -0.14 -0.94 -0.05 -0.29 -0.29 8.1e+03 29 0.29 -1.6 -
44 -0.77 1.2 0.45 0.33 -2.2 -1 -0.094 0.00015 -1.1 -0.76 -0.14 -0.94 -0.05 -0.29 -0.29 8.1e+03 29 0.14 -0.8 -
45 -0.77 1.2 0.45 0.33 -2.2 -1 -0.094 0.00015 -1.1 -0.76 -0.14 -0.94 -0.05 -0.29 -0.29 8.1e+03 29 0.071 -0.2 -
46 -0.77 1.2 0.45 0.33 -2.2 -1 -0.094 0.00015 -1.1 -0.76 -0.14 -0.94 -0.05 -0.29 -0.29 8.1e+03 29 0.036 0.094 -
47 -0.78 1.2 0.44 0.33 -2.3 -1 -0.12 0.00024 -1.1 -0.73 -0.16 -0.94 -0.063 -0.29 -0.31 8.1e+03 39 0.036 0.27 +
48 -0.8 1.2 0.46 0.34 -2.2 -1 -0.11 0.0002 -1.1 -0.76 -0.14 -0.95 -0.091 -0.3 -0.3 8.1e+03 2.8 0.36 0.91 ++
49 -0.93 1.2 0.55 0.52 -2.1 -1.2 -0.11 0.00021 -1.1 -0.76 -0.14 -1 -0.079 -0.46 -0.35 8.1e+03 0.00068 3.6 1 ++
50 -0.93 1.2 0.55 0.53 -2.1 -1.2 -0.11 0.00021 -1.1 -0.76 -0.13 -1 -0.083 -0.5 -0.36 8.1e+03 0.00011 36 1 ++
51 -0.93 1.2 0.55 0.52 -2.1 -1.2 -0.11 0.00021 -1.1 -0.76 -0.13 -1 -0.083 -0.51 -0.36 8.1e+03 6.9e-06 3.6e+02 1 ++
52 -0.93 1.2 0.55 0.52 -2.1 -1.2 -0.11 0.00021 -1.1 -0.76 -0.13 -1 -0.083 -0.51 -0.36 8.1e+03 7.4e-08 3.6e+02 1 ++
Considering neighbor 1/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000138
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ asc_train_diff_ asc_train_diff_ b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost asc_car_ref asc_car_diff_GA asc_car_diff_on asc_car_diff_se Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.26 0.5 -0.72 -
1 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 5 1.1 ++
2 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 2.5 -7 -
3 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 1.2 -5.9 -
4 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.62 -4.6 -
5 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.31 -3.5 -
6 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.16 -2.9 -
7 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.078 -2.9 -
8 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.039 -3.3 -
9 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.02 -3.7 -
10 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.0098 -4.2 -
11 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.0049 -3.6 -
12 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.0024 -2.5 -
13 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.0012 -1.7 -
14 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.00061 -0.97 -
15 -0.5 -0.00059 -0.5 -0.02 -0.5 -0.16 0 0 -0.14 0.027 -0.077 -0.021 -0.0063 9.2e+03 6.2 0.00031 -0.12 -
16 -0.5 -0.00028 -0.5 -0.02 -0.5 -0.16 0.00031 -0.00031 -0.14 0.026 -0.078 -0.022 -0.0066 9.2e+03 3.8 0.00031 0.68 +
17 -0.5 -0.0002 -0.5 -0.02 -0.5 -0.16 0.00061 -0.00021 -0.14 0.026 -0.078 -0.022 -0.0066 9.2e+03 4 0.00031 0.36 +
18 -0.5 -0.00011 -0.5 -0.02 -0.5 -0.16 0.00092 -0.00027 -0.14 0.026 -0.078 -0.022 -0.0066 9.2e+03 1.7 0.00031 0.77 +
19 -0.5 -2.1e-05 -0.5 -0.02 -0.5 -0.16 0.0012 -0.00026 -0.14 0.026 -0.078 -0.022 -0.0066 9.2e+03 0.23 0.0031 0.98 ++
20 -0.5 0.00086 -0.5 -0.02 -0.5 -0.16 0.0043 -0.00027 -0.14 0.025 -0.079 -0.023 -0.0067 9.2e+03 0.11 0.031 1 ++
21 -0.51 0.0098 -0.49 -0.02 -0.53 -0.17 0.035 -0.0004 -0.15 0.018 -0.084 -0.03 -0.0071 9.1e+03 0.089 0.31 1 ++
22 -0.56 0.24 -0.31 -0.02 -0.83 -0.18 0.22 -0.0012 -0.45 0.011 -0.2 -0.11 -0.017 8.8e+03 1.8 0.31 0.78 +
23 -0.65 0.54 -0.093 -0.016 -0.96 -0.16 0.012 -0.0003 -0.69 0.093 -0.33 -0.13 -0.03 8.5e+03 1.8 0.31 0.8 +
24 -0.86 0.85 0.042 -0.0075 -1.3 -0.2 -0.026 -0.00015 -0.71 0.084 -0.45 -0.16 -0.049 8.3e+03 1.4 3.1 1.1 ++
25 -0.86 0.85 0.042 -0.0075 -1.3 -0.2 -0.026 -0.00015 -0.71 0.084 -0.45 -0.16 -0.049 8.3e+03 1.4 1.5 -91 -
26 -0.86 0.85 0.042 -0.0075 -1.3 -0.2 -0.026 -0.00015 -0.71 0.084 -0.45 -0.16 -0.049 8.3e+03 1.4 0.76 -19 -
27 -0.86 0.85 0.042 -0.0075 -1.3 -0.2 -0.026 -0.00015 -0.71 0.084 -0.45 -0.16 -0.049 8.3e+03 1.4 0.38 -0.76 -
28 -1.1 1.2 0.22 0.018 -1.6 -0.3 -0.13 0.00028 -0.72 0.14 -0.6 -0.11 -0.082 8.3e+03 24 0.38 0.42 +
29 -1.1 1.4 0.38 0.061 -2 -0.49 -0.085 0.00012 -0.74 0.15 -0.71 -0.094 -0.12 8.2e+03 23 0.38 0.68 +
30 -1.1 1.4 0.38 0.061 -2 -0.49 -0.085 0.00012 -0.74 0.15 -0.71 -0.094 -0.12 8.2e+03 23 0.19 -1.6 -
31 -1.1 1.4 0.38 0.061 -2 -0.49 -0.085 0.00012 -0.74 0.15 -0.71 -0.094 -0.12 8.2e+03 23 0.095 -0.56 -
32 -1.1 1.4 0.38 0.061 -2 -0.49 -0.085 0.00012 -0.74 0.15 -0.71 -0.094 -0.12 8.2e+03 23 0.048 -0.14 -
33 -1.1 1.4 0.36 0.071 -2 -0.53 -0.12 0.00022 -0.73 0.17 -0.72 -0.079 -0.12 8.2e+03 47 0.048 0.12 +
34 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.048 0.21 +
35 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.024 -2.9 -
36 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.012 -2.9 -
37 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.006 -2.8 -
38 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.003 -2.6 -
39 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.0015 -2.5 -
40 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.00075 -2.5 -
41 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.00037 -2.5 -
42 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 0.00019 -2.5 -
43 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00028 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 23 9.3e-05 -1.4 -
44 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00019 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 35 9.3e-05 0.42 +
45 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00022 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 6.2 9.3e-05 0.69 +
46 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00021 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 2.7 9.3e-05 0.75 +
47 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00021 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 0.18 0.00093 1 ++
48 -1.1 1.5 0.4 0.086 -2 -0.58 -0.11 0.00021 -0.74 0.17 -0.75 -0.092 -0.13 8.2e+03 0.039 0.0093 1 ++
49 -1.1 1.5 0.4 0.088 -2 -0.58 -0.11 0.0002 -0.74 0.18 -0.75 -0.087 -0.14 8.2e+03 0.2 0.093 1 ++
50 -1.2 1.5 0.42 0.14 -2 -0.67 -0.11 0.0002 -0.74 0.21 -0.83 -0.08 -0.17 8.2e+03 0.47 0.93 1 ++
51 -1.3 1.5 0.54 0.61 -2 -1.1 -0.11 0.0002 -0.71 0.21 -1.2 -0.075 -0.47 8.1e+03 0.21 9.3 1 ++
52 -1.3 1.5 0.56 0.59 -2 -1.2 -0.11 0.0002 -0.71 0.2 -1.2 -0.064 -0.5 8.1e+03 0.0095 93 1 ++
53 -1.3 1.5 0.55 0.59 -2 -1.2 -0.11 0.0002 -0.71 0.2 -1.2 -0.068 -0.52 8.1e+03 0.00063 9.3e+02 1 ++
54 -1.3 1.5 0.55 0.58 -2 -1.2 -0.11 0.0002 -0.71 0.2 -1.2 -0.067 -0.52 8.1e+03 3.7e-05 9.3e+03 1 ++
55 -1.3 1.5 0.55 0.58 -2 -1.2 -0.11 0.0002 -0.71 0.2 -1.2 -0.067 -0.52 8.1e+03 0.00061 9.3e+04 1 ++
56 -1.3 1.5 0.55 0.58 -2 -1.2 -0.11 0.0002 -0.71 0.2 -1.2 -0.067 -0.52 8.1e+03 2.2e-06 9.3e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 85/100
Considering neighbor 0/20 for current solution
Attempt 86/100
Considering neighbor 0/20 for current solution
Attempt 87/100
Considering neighbor 0/20 for current solution
Attempt 88/100
Considering neighbor 0/20 for current solution
Attempt 89/100
Biogeme parameters read from biogeme.toml.
Model with 16 unknown parameters [max: 50]
*** Estimate b07everything_000139
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.73 -
1 1.1e+04 0.4 0.25 0.023 -
2 9.4e+03 0.061 0.25 0.56 +
3 9.4e+03 0.061 0.12 -1.2 -
4 9.4e+03 0.061 0.062 -0.028 -
5 9.3e+03 0.067 0.062 0.5 +
6 9.1e+03 0.053 0.062 0.87 +
7 9e+03 0.042 0.062 0.86 +
8 8.9e+03 0.065 0.062 0.46 +
9 8.9e+03 0.076 0.062 0.59 +
10 8.8e+03 0.038 0.062 0.82 +
11 8.7e+03 0.042 0.62 0.9 ++
12 8.7e+03 0.042 0.31 -2.2 -
13 8.7e+03 0.042 0.16 -1.2 -
14 8.7e+03 0.042 0.078 -0.39 -
15 8.6e+03 0.072 0.078 0.33 +
16 8.6e+03 0.057 0.078 0.76 +
17 8.5e+03 0.054 0.078 0.86 +
18 8.5e+03 0.048 0.078 0.83 +
19 8.4e+03 0.031 0.78 0.94 ++
20 8.4e+03 0.031 0.39 0.042 -
21 8.3e+03 0.04 0.39 0.53 +
22 8.3e+03 0.04 0.2 -1.2 -
23 8.3e+03 0.04 0.098 -0.48 -
24 8.3e+03 0.04 0.049 -0.076 -
25 8.3e+03 0.04 0.024 -0.14 -
26 8.3e+03 0.017 0.024 0.53 +
27 8.3e+03 0.017 0.024 0.71 +
28 8.3e+03 0.013 0.024 0.8 +
29 8.3e+03 0.014 0.24 0.9 ++
30 8.3e+03 0.014 0.12 -0.2 -
31 8.3e+03 0.014 0.061 -0.33 -
32 8.2e+03 0.024 0.061 0.34 +
33 8.2e+03 0.014 0.061 0.82 +
34 8.2e+03 0.0084 0.061 0.88 +
35 8.2e+03 0.012 0.061 0.75 +
36 8.2e+03 0.0091 0.061 0.74 +
37 8.2e+03 0.013 0.061 0.8 +
38 8.2e+03 0.011 0.061 0.86 +
39 8.2e+03 0.014 0.61 0.9 ++
40 8.2e+03 0.032 0.61 0.55 +
41 8.2e+03 0.032 0.31 -2.2 -
42 8.2e+03 0.032 0.15 -0.35 -
43 8.2e+03 0.032 0.076 -0.039 -
44 8.1e+03 0.017 0.076 0.63 +
45 8.1e+03 0.011 0.076 0.7 +
46 8.1e+03 0.0044 0.76 0.95 ++
47 8.1e+03 0.0024 7.6 0.97 ++
48 8.1e+03 0.0024 3.8 -24 -
49 8.1e+03 0.0024 1.9 -14 -
50 8.1e+03 0.0024 0.95 -8.2 -
51 8.1e+03 0.0024 0.48 -4.5 -
52 8.1e+03 0.0024 0.24 -2.5 -
53 8.1e+03 0.0024 0.12 -1.4 -
54 8.1e+03 0.0024 0.06 -0.47 -
55 8.1e+03 0.0025 0.06 0.44 +
56 8.1e+03 0.0016 0.06 0.7 +
57 8.1e+03 0.0038 0.06 0.41 +
58 8.1e+03 0.0011 0.06 0.71 +
59 8.1e+03 0.0014 0.06 0.42 +
60 8.1e+03 0.0014 0.03 -1.6 -
61 8.1e+03 0.0014 0.03 0.57 +
62 8.1e+03 0.0008 0.03 0.25 +
63 8.1e+03 0.0008 0.015 -0.21 -
64 8.1e+03 0.0013 0.015 0.75 +
65 8.1e+03 0.0013 0.0075 -0.25 -
66 8.1e+03 0.00028 0.0075 0.5 +
67 8.1e+03 0.00067 0.0075 0.51 +
68 8.1e+03 0.00089 0.0075 0.23 +
69 8.1e+03 0.00021 0.0075 0.6 +
70 8.1e+03 0.0002 0.0075 0.35 +
71 8.1e+03 0.00028 0.0075 0.42 +
72 8.1e+03 0.00028 0.0037 0.019 -
73 8.1e+03 0.00041 0.0037 0.74 +
74 8.1e+03 0.00041 0.0019 0.079 -
75 8.1e+03 0.00015 0.0019 0.54 +
76 8.1e+03 6.2e-05 0.0019 0.89 +
77 8.1e+03 0.00012 0.0019 0.76 +
78 8.1e+03 6e-05 0.0019 0.65 +
79 8.1e+03 2.8e-05 0.0019 0.85 +
80 8.1e+03 3.5e-05 0.0019 0.79 +
81 8.1e+03 3.3e-05 0.0019 0.81 +
82 8.1e+03 5.1e-05 0.0019 0.46 +
83 8.1e+03 9.8e-05 0.0019 0.2 +
84 8.1e+03 9.8e-05 0.00093 -0.77 -
85 8.1e+03 2.6e-05 0.0093 0.92 ++
86 8.1e+03 2.6e-05 0.0047 -3.6 -
87 8.1e+03 2.6e-05 0.0023 -0.78 -
88 8.1e+03 6.9e-05 0.0023 0.11 +
89 8.1e+03 6.9e-05 0.0012 -0.79 -
90 8.1e+03 6e-05 0.0012 0.23 +
91 8.1e+03 6e-05 0.00058 -0.12 -
92 8.1e+03 5.1e-05 0.0058 0.9 ++
93 8.1e+03 5.1e-05 0.0029 -0.51 -
94 8.1e+03 2.7e-05 0.0029 0.18 +
95 8.1e+03 2.7e-05 0.0015 -0.99 -
96 8.1e+03 2.7e-05 0.0015 0.13 +
97 8.1e+03 2.7e-05 0.00073 -2.4 -
98 8.1e+03 1.4e-05 0.00073 0.47 +
99 8.1e+03 1.4e-05 0.00036 -4.1 -
100 8.1e+03 1.8e-05 0.00036 0.34 +
101 8.1e+03 1.8e-05 0.00018 -0.55 -
102 8.1e+03 4.7e-06 0.00018 0.97 -
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 90/100
Considering neighbor 0/20 for current solution
Attempt 91/100
Considering neighbor 0/20 for current solution
Attempt 92/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000140
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.49 -
1 -0.5 -0.5 -0.5 -0.5 1 -0.5 0.5 0.5 -0.5 -0.5 1.5 1e+04 0.22 0.5 0.2 +
2 -0.28 -0.33 -0.4 -0.48 0.96 -0.44 0 0.58 -0.56 -0.37 1.2 9.2e+03 0.095 0.5 0.69 +
3 -0.22 -0.037 -0.85 -0.5 0.94 -0.61 0.023 0.19 -0.7 -0.65 1 9e+03 0.11 0.5 0.24 +
4 -0.22 -0.037 -0.85 -0.5 0.94 -0.61 0.023 0.19 -0.7 -0.65 1 9e+03 0.11 0.25 0.022 -
5 -0.3 0.016 -0.84 -0.49 0.9 -0.71 -0.23 0.41 -0.72 -0.4 1.2 8.7e+03 0.052 0.25 0.84 +
6 -0.31 0.24 -1.1 -0.49 0.82 -0.86 -0.25 0.18 -0.81 -0.53 1.2 8.5e+03 0.079 0.25 0.55 +
7 -0.18 0.39 -1.1 -0.47 0.73 -0.85 -0.5 0.13 -0.86 -0.51 1.1 8.4e+03 0.04 0.25 0.43 +
8 -0.32 0.62 -1.3 -0.48 0.6 -1.1 -0.6 0.1 -0.93 -0.42 1.4 8.3e+03 0.044 0.25 0.3 +
9 -0.32 0.62 -1.3 -0.48 0.6 -1.1 -0.6 0.1 -0.93 -0.42 1.4 8.3e+03 0.044 0.12 -0.16 -
10 -0.19 0.68 -1.3 -0.47 0.58 -1 -0.55 -0.024 -0.95 -0.54 1.3 8.2e+03 0.022 0.12 0.6 +
11 -0.2 0.74 -1.3 -0.48 0.52 -1 -0.68 -0.003 -0.97 -0.49 1.3 8.2e+03 0.033 0.12 0.18 +
12 -0.2 0.74 -1.3 -0.48 0.52 -1 -0.68 -0.003 -0.97 -0.49 1.3 8.2e+03 0.033 0.062 -0.16 -
13 -0.23 0.75 -1.4 -0.48 0.52 -1.1 -0.62 -0.066 -0.97 -0.54 1.3 8.2e+03 0.026 0.062 0.6 +
14 -0.2 0.8 -1.4 -0.48 0.48 -1.1 -0.68 -0.076 -0.99 -0.53 1.3 8.2e+03 0.0075 0.062 0.89 +
15 -0.23 0.86 -1.4 -0.49 0.44 -1.1 -0.69 -0.1 -1 -0.53 1.4 8.2e+03 0.016 0.062 0.27 +
16 -0.19 0.92 -1.4 -0.49 0.4 -1.1 -0.75 -0.13 -1 -0.53 1.4 8.2e+03 0.012 0.062 0.49 +
17 -0.19 0.92 -1.4 -0.49 0.4 -1.1 -0.75 -0.13 -1 -0.53 1.4 8.2e+03 0.012 0.031 -1.1 -
18 -0.19 0.92 -1.4 -0.49 0.4 -1.1 -0.75 -0.13 -1 -0.53 1.4 8.2e+03 0.012 0.016 0.067 -
19 -0.21 0.92 -1.4 -0.49 0.41 -1.1 -0.74 -0.14 -1 -0.54 1.4 8.2e+03 0.0056 0.016 0.68 +
20 -0.21 0.94 -1.4 -0.5 0.4 -1.1 -0.75 -0.15 -1 -0.54 1.4 8.2e+03 0.002 0.16 0.9 ++
21 -0.21 0.94 -1.4 -0.5 0.4 -1.1 -0.75 -0.15 -1 -0.54 1.4 8.2e+03 0.002 0.078 -1.2 -
22 -0.21 0.94 -1.4 -0.5 0.4 -1.1 -0.75 -0.15 -1 -0.54 1.4 8.2e+03 0.002 0.039 -0.14 -
23 -0.22 0.98 -1.5 -0.51 0.39 -1.1 -0.76 -0.15 -1.1 -0.53 1.4 8.2e+03 0.0034 0.039 0.34 +
24 -0.22 0.98 -1.5 -0.51 0.39 -1.1 -0.76 -0.15 -1.1 -0.53 1.4 8.2e+03 0.0034 0.02 -0.0031 -
25 -0.22 0.99 -1.5 -0.51 0.39 -1.1 -0.77 -0.16 -1.1 -0.53 1.3 8.2e+03 0.0022 0.02 0.66 +
26 -0.24 1 -1.5 -0.51 0.39 -1.1 -0.77 -0.15 -1.1 -0.52 1.3 8.2e+03 0.0013 0.02 0.85 +
27 -0.24 1 -1.5 -0.51 0.39 -1.1 -0.77 -0.15 -1.1 -0.52 1.3 8.2e+03 0.0013 0.0098 -2.2 -
28 -0.24 1 -1.5 -0.51 0.39 -1.1 -0.77 -0.15 -1.1 -0.52 1.3 8.2e+03 0.0013 0.0049 -0.83 -
29 -0.24 1 -1.5 -0.51 0.39 -1.1 -0.77 -0.15 -1.1 -0.52 1.3 8.2e+03 0.0013 0.0024 -0.064 -
30 -0.23 1 -1.5 -0.51 0.39 -1.1 -0.76 -0.15 -1.1 -0.52 1.3 8.2e+03 0.00077 0.0024 0.57 +
31 -0.23 1 -1.5 -0.51 0.39 -1.1 -0.77 -0.15 -1.1 -0.52 1.3 8.2e+03 0.0011 0.0024 0.83 +
32 -0.24 1 -1.5 -0.52 0.39 -1.1 -0.76 -0.15 -1.1 -0.52 1.3 8.2e+03 0.0009 0.024 0.94 ++
33 -0.25 1 -1.5 -0.52 0.39 -1.1 -0.76 -0.14 -1.1 -0.52 1.3 8.2e+03 0.0015 0.024 0.87 +
34 -0.27 1 -1.5 -0.52 0.38 -1.1 -0.76 -0.14 -1.1 -0.51 1.3 8.2e+03 0.0017 0.024 0.77 +
35 -0.28 1.1 -1.5 -0.53 0.38 -1.1 -0.76 -0.13 -1.1 -0.51 1.2 8.2e+03 0.0022 0.024 0.31 +
36 -0.29 1.1 -1.5 -0.53 0.39 -1.1 -0.76 -0.12 -1.1 -0.5 1.2 8.2e+03 0.0023 0.024 0.32 +
37 -0.3 1.1 -1.5 -0.53 0.38 -1.1 -0.75 -0.12 -1.1 -0.51 1.2 8.2e+03 0.00093 0.024 0.78 +
38 -0.3 1.1 -1.5 -0.53 0.38 -1.1 -0.75 -0.12 -1.1 -0.51 1.2 8.2e+03 0.00093 0.012 -0.037 -
39 -0.31 1.1 -1.5 -0.53 0.38 -1.1 -0.75 -0.12 -1.1 -0.51 1.2 8.2e+03 0.0012 0.012 0.25 +
40 -0.31 1.1 -1.5 -0.54 0.38 -1.1 -0.75 -0.12 -1.1 -0.51 1.2 8.2e+03 0.00053 0.12 0.92 ++
41 -0.31 1.1 -1.5 -0.54 0.38 -1.1 -0.75 -0.12 -1.1 -0.51 1.2 8.2e+03 0.00053 0.061 -0.17 -
42 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.098 -1.1 -0.5 1.2 8.2e+03 0.0014 0.061 0.36 +
43 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.098 -1.1 -0.5 1.2 8.2e+03 0.0014 0.031 -1.1 -
44 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.098 -1.1 -0.5 1.2 8.2e+03 0.0014 0.015 -0.74 -
45 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.098 -1.1 -0.5 1.2 8.2e+03 0.0014 0.0076 0.071 -
46 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.1 -1.1 -0.5 1.2 8.2e+03 0.00067 0.0076 0.83 +
47 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.1 -1.1 -0.5 1.2 8.2e+03 0.00067 0.0038 0.1 -
48 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.1 -1.1 -0.5 1.2 8.2e+03 0.00039 0.0038 0.49 +
49 -0.35 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.1 -1.1 -0.5 1.2 8.2e+03 0.0002 0.0038 0.75 +
50 -0.36 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.098 -1.1 -0.5 1.2 8.2e+03 0.00022 0.0038 0.72 +
51 -0.36 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.098 -1.1 -0.5 1.2 8.2e+03 0.00022 0.0038 0.71 +
52 -0.36 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.096 -1.1 -0.5 1.2 8.2e+03 0.00021 0.0038 0.81 +
53 -0.37 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.096 -1.1 -0.5 1.2 8.2e+03 0.00024 0.0038 0.84 +
54 -0.37 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.095 -1.1 -0.5 1.2 8.2e+03 0.0002 0.0038 0.77 +
55 -0.37 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.094 -1.1 -0.5 1.1 8.2e+03 0.00013 0.0038 0.8 +
56 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.094 -1.1 -0.5 1.1 8.2e+03 0.00016 0.0038 0.55 +
57 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.094 -1.1 -0.5 1.1 8.2e+03 0.00016 0.0019 0.054 -
58 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 7.3e-05 0.0019 0.85 +
59 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 7.3e-05 0.00095 -1.6 -
60 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 7.3e-05 0.00048 -2.8 -
61 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 7.3e-05 0.00024 -0.36 -
62 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 0.0001 0.00024 0.39 +
63 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 5.9e-05 0.0024 0.95 ++
64 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 0.00016 0.0024 0.23 +
65 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.093 -1.1 -0.5 1.1 8.2e+03 5.3e-05 0.0024 0.89 +
66 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 8.8e-05 0.0024 0.62 +
67 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 8.8e-05 0.0012 -0.17 -
68 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 8.7e-05 0.0012 0.62 +
69 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 4.9e-05 0.0012 0.84 +
70 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 3.7e-05 0.012 0.95 ++
71 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 3.7e-05 0.006 -1.5 -
72 -0.38 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 3.7e-05 0.003 -0.68 -
73 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.092 -1.1 -0.5 1.1 8.2e+03 0.00011 0.003 0.21 +
74 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 5.5e-05 0.003 0.48 +
75 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 5.5e-05 0.0015 -2 -
76 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 3.6e-05 0.0015 0.33 +
77 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 3.6e-05 0.00075 -0.31 -
78 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 9.5e-06 0.00075 0.62 +
79 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 9.5e-06 0.00037 -0.77 -
80 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 3e-05 0.00037 0.17 +
81 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 3e-05 0.00019 -0.14 -
82 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 1.4e-05 0.00019 0.52 +
83 -0.39 1.2 -1.6 -0.55 0.37 -1.1 -0.75 -0.091 -1.1 -0.5 1.1 8.2e+03 3.2e-06 0.00019 0.64 +
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 93/100
Considering neighbor 0/20 for current solution
Attempt 94/100
Biogeme parameters read from biogeme.toml.
Model with 13 unknown parameters [max: 50]
*** Estimate b07everything_000141
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di square_tt_coef cube_tt_coef b_cost b_time_swissmet b_time_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.4 0.5 -0.33 -
1 -0.27 1.8e-05 -0.5 -0.28 0.0033 0.031 -0.039 0.2 0.1 0.0071 -0.022 -0.021 -0.009 9.8e+03 1.4 0.5 0.43 +
2 -0.27 1.8e-05 -0.5 -0.28 0.0033 0.031 -0.039 0.2 0.1 0.0071 -0.022 -0.021 -0.009 9.8e+03 1.4 0.25 -9.9 -
3 -0.27 1.8e-05 -0.5 -0.28 0.0033 0.031 -0.039 0.2 0.1 0.0071 -0.022 -0.021 -0.009 9.8e+03 1.4 0.12 -12 -
4 -0.26 0.026 -0.47 -0.26 -0.055 -0.094 -0.095 0.083 -0.00015 -0.023 -0.04 0.1 -0.057 2.1e+04 7.3 1.2 17 ++
5 -0.26 0.026 -0.47 -0.26 -0.055 -0.094 -0.095 0.083 -0.00015 -0.023 -0.04 0.1 -0.057 2.1e+04 7.3 0.62 -0.46 -
6 -0.26 0.026 -0.47 -0.26 -0.055 -0.094 -0.095 0.083 -0.00015 -0.023 -0.04 0.1 -0.057 2.1e+04 7.3 0.31 -0.25 -
7 -0.26 0.026 -0.47 -0.26 -0.055 -0.094 -0.095 0.083 -0.00015 -0.023 -0.04 0.1 -0.057 2.1e+04 7.3 0.16 -6.6 -
8 -0.28 0.028 -0.31 -0.18 0.029 0.063 -0.097 0.064 0.0059 -0.024 -0.042 0.027 -0.058 9.8e+03 1.3 0.16 0.79 +
9 -0.28 0.028 -0.31 -0.18 0.029 0.063 -0.097 0.064 0.0059 -0.024 -0.042 0.027 -0.058 9.8e+03 1.3 0.078 -0.1 -
10 -0.28 0.029 -0.31 -0.18 0.03 0.027 -0.1 0.053 -0.0049 -0.027 -0.043 -0.051 -0.065 9.4e+03 0.34 0.078 0.53 +
11 -0.28 0.029 -0.31 -0.18 0.03 0.027 -0.1 0.053 -0.0049 -0.027 -0.043 -0.051 -0.065 9.4e+03 0.34 0.039 -8.6 -
12 -0.28 0.029 -0.31 -0.18 0.03 0.027 -0.1 0.053 -0.0049 -0.027 -0.043 -0.051 -0.065 9.4e+03 0.34 0.02 -3.9 -
13 -0.3 0.049 -0.33 -0.2 0.049 0.0078 -0.12 0.034 -0.024 -0.047 -0.063 -0.031 -0.085 9.3e+03 0.095 0.2 0.96 ++
14 -0.39 0.1 -0.53 -0.3 0.22 -0.0018 -0.24 0.029 -0.078 -0.14 -0.11 -0.017 -0.21 9e+03 0.076 2 0.93 ++
15 -0.39 0.1 -0.53 -0.3 0.22 -0.0018 -0.24 0.029 -0.078 -0.14 -0.11 -0.017 -0.21 9e+03 0.076 0.98 -11 -
16 -0.39 0.1 -0.53 -0.3 0.22 -0.0018 -0.24 0.029 -0.078 -0.14 -0.11 -0.017 -0.21 9e+03 0.076 0.49 -7.1 -
17 -0.39 0.1 -0.53 -0.3 0.22 -0.0018 -0.24 0.029 -0.078 -0.14 -0.11 -0.017 -0.21 9e+03 0.076 0.24 -5 -
18 -0.39 0.1 -0.53 -0.3 0.22 -0.0018 -0.24 0.029 -0.078 -0.14 -0.11 -0.017 -0.21 9e+03 0.076 0.12 -0.17 -
19 -0.35 0.18 -0.44 -0.28 0.18 0.0043 -0.36 -0.089 -0.18 -0.21 -0.15 -0.14 -0.26 8.9e+03 1.2 0.12 0.49 +
20 -0.35 0.18 -0.44 -0.28 0.18 0.0043 -0.36 -0.089 -0.18 -0.21 -0.15 -0.14 -0.26 8.9e+03 1.2 0.061 -10 -
21 -0.35 0.18 -0.44 -0.28 0.18 0.0043 -0.36 -0.089 -0.18 -0.21 -0.15 -0.14 -0.26 8.9e+03 1.2 0.031 -12 -
22 -0.35 0.18 -0.44 -0.28 0.18 0.0043 -0.36 -0.089 -0.18 -0.21 -0.15 -0.14 -0.26 8.9e+03 1.2 0.015 -7.7 -
23 -0.35 0.18 -0.44 -0.28 0.18 0.0043 -0.36 -0.089 -0.18 -0.21 -0.15 -0.14 -0.26 8.9e+03 1.2 0.0076 -2.9 -
24 -0.36 0.19 -0.44 -0.29 0.18 -0.0033 -0.37 -0.097 -0.19 -0.2 -0.16 -0.13 -0.25 8.8e+03 5.2 0.0076 0.18 +
25 -0.36 0.19 -0.45 -0.29 0.19 0.00041 -0.37 -0.099 -0.19 -0.2 -0.16 -0.14 -0.25 8.8e+03 1.1 0.0076 0.54 +
26 -0.36 0.19 -0.45 -0.29 0.19 0.00041 -0.37 -0.099 -0.19 -0.2 -0.16 -0.14 -0.25 8.8e+03 1.1 0.0038 -3.5 -
27 -0.36 0.19 -0.45 -0.29 0.19 0.00041 -0.37 -0.099 -0.19 -0.2 -0.16 -0.14 -0.25 8.8e+03 1.1 0.0019 -0.8 -
28 -0.36 0.19 -0.45 -0.29 0.19 -0.0015 -0.37 -0.1 -0.19 -0.2 -0.16 -0.14 -0.25 8.8e+03 1.3 0.0019 0.6 +
29 -0.36 0.19 -0.45 -0.29 0.19 -0.00035 -0.37 -0.1 -0.19 -0.2 -0.16 -0.14 -0.25 8.8e+03 1.1 0.0019 0.12 +
30 -0.36 0.19 -0.45 -0.29 0.19 -0.00035 -0.37 -0.1 -0.19 -0.2 -0.16 -0.14 -0.25 8.8e+03 1.1 0.00095 -0.23 -
31 -0.36 0.19 -0.46 -0.3 0.19 -0.0013 -0.37 -0.1 -0.19 -0.2 -0.16 -0.14 -0.25 8.7e+03 0.97 0.00095 0.58 +
32 -0.36 0.19 -0.46 -0.3 0.19 -0.00094 -0.38 -0.1 -0.19 -0.2 -0.16 -0.14 -0.25 8.7e+03 0.51 0.00095 0.76 +
33 -0.36 0.19 -0.46 -0.3 0.19 -0.0011 -0.38 -0.1 -0.19 -0.2 -0.16 -0.14 -0.25 8.7e+03 0.16 0.0095 0.96 ++
34 -0.37 0.2 -0.47 -0.3 0.2 -0.0011 -0.38 -0.11 -0.2 -0.2 -0.17 -0.14 -0.25 8.7e+03 0.052 0.095 1 ++
35 -0.4 0.24 -0.55 -0.35 0.3 -0.0016 -0.44 -0.15 -0.24 -0.2 -0.19 -0.17 -0.24 8.6e+03 0.25 0.95 0.99 ++
36 -0.75 1.2 -0.37 -0.35 0.58 -0.003 -0.85 -0.36 -0.48 -0.42 -0.61 -0.13 -0.43 8.4e+03 0.33 0.95 0.71 +
37 -1.7 1.8 -0.4 -0.5 0.044 -0.001 -0.91 -0.6 -0.6 -0.7 -1.1 -0.2 -0.58 8.3e+03 1.9 0.95 0.53 +
38 -1.7 1.8 -0.4 -0.5 0.044 -0.001 -0.91 -0.6 -0.6 -0.7 -1.1 -0.2 -0.58 8.3e+03 1.9 0.48 -2.2 -
39 -1.7 1.8 -0.4 -0.5 0.044 -0.001 -0.91 -0.6 -0.6 -0.7 -1.1 -0.2 -0.58 8.3e+03 1.9 0.24 -0.26 -
40 -1.5 1.7 -0.55 -0.63 0.14 -0.00093 -0.8 -0.8 -0.75 -0.64 -1.1 -0.44 -0.56 8.2e+03 0.58 0.24 0.76 +
41 -1.5 1.7 -0.55 -0.63 0.14 -0.00093 -0.8 -0.8 -0.75 -0.64 -1.1 -0.44 -0.56 8.2e+03 0.58 0.12 0.074 -
42 -1.5 1.7 -0.63 -0.66 0.019 -0.00033 -0.79 -0.82 -0.72 -0.6 -1.1 -0.45 -0.63 8.2e+03 2 0.12 0.8 +
43 -1.4 1.6 -0.75 -0.72 0.028 -0.00044 -0.8 -0.94 -0.78 -0.56 -1 -0.54 -0.65 8.2e+03 0.88 1.2 0.98 ++
44 -1.4 1.6 -0.75 -0.72 0.028 -0.00044 -0.8 -0.94 -0.78 -0.56 -1 -0.54 -0.65 8.2e+03 0.88 0.6 -28 -
45 -1.4 1.6 -0.75 -0.72 0.028 -0.00044 -0.8 -0.94 -0.78 -0.56 -1 -0.54 -0.65 8.2e+03 0.88 0.3 -2.8 -
46 -1.3 1.6 -1 -0.83 -0.084 0.00013 -0.76 -1.2 -0.81 -0.52 -1 -0.69 -0.77 8.2e+03 3.2 0.3 0.4 +
47 -1.1 1.6 -1.3 -0.92 -0.064 -4.2e-05 -0.84 -1.4 -0.96 -0.5 -1 -0.99 -0.76 8.2e+03 6.2 0.3 0.83 +
48 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.3 0.13 +
49 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.15 -2.9 -
50 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.075 -2.5 -
51 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.037 -2.3 -
52 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.019 -2.2 -
53 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.0093 -1.9 -
54 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.0047 -2 -
55 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.0023 -2.2 -
56 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.0012 -2.4 -
57 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.00058 -2.5 -
58 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.00029 -2.6 -
59 -0.95 1.6 -1.6 -0.99 -0.11 0.00035 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.2e+03 11 0.00015 -1.5 -
60 -0.95 1.6 -1.6 -0.99 -0.11 0.00021 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.1e+03 9.4 0.00015 0.6 +
61 -0.95 1.6 -1.6 -0.99 -0.11 0.00023 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.1e+03 1.2 0.0015 1.1 ++
62 -0.95 1.6 -1.6 -0.99 -0.11 0.00022 -0.76 -1.7 -0.94 -0.46 -1 -1.2 -0.89 8.1e+03 0.08 0.015 1 ++
63 -0.96 1.6 -1.6 -0.99 -0.096 0.00015 -0.76 -1.7 -0.94 -0.46 -1 -1.1 -0.88 8.1e+03 3 0.15 1 ++
64 -0.85 1.5 -1.8 -0.94 -0.097 0.00015 -0.81 -1.8 -0.93 -0.51 -1 -1.2 -0.85 8.1e+03 2.7 1.5 1 ++
65 -0.66 1.5 -2.1 -0.77 -0.11 0.00022 -0.8 -2.1 -0.61 -0.48 -1 -1.4 -0.64 8.1e+03 0.011 15 1 ++
66 -0.65 1.5 -2.1 -0.75 -0.11 0.0002 -0.8 -2.1 -0.58 -0.49 -1 -1.4 -0.62 8.1e+03 0.17 1.5e+02 1 ++
67 -0.66 1.5 -2.2 -0.74 -0.11 0.00021 -0.8 -2.1 -0.56 -0.49 -1 -1.4 -0.61 8.1e+03 0.0041 1.5e+03 1 ++
68 -0.65 1.5 -2.2 -0.74 -0.11 0.00021 -0.8 -2.1 -0.56 -0.49 -1 -1.4 -0.61 8.1e+03 0.00013 1.5e+04 1 ++
69 -0.65 1.5 -2.2 -0.74 -0.11 0.00021 -0.8 -2.1 -0.56 -0.49 -1 -1.4 -0.61 8.1e+03 0.0032 1.5e+05 1 ++
70 -0.65 1.5 -2.2 -0.74 -0.11 0.00021 -0.8 -2.1 -0.56 -0.49 -1 -1.4 -0.61 8.1e+03 3.2e-06 1.5e+05 1 ++
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 14 unknown parameters [max: 50]
*** Estimate b07everything_000142
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di lambda_travel_t b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff b_cost_car Function Relgrad Radius Rho
0 -1 0.3 -0.72 -0.12 1.6 -0.55 -0.99 -0.17 -0.6 -0.33 -0.45 -0.76 -0.098 -0.58 8.8e+03 0.039 10 0.9 ++
1 -1 0.3 -0.72 -0.12 1.6 -0.55 -0.99 -0.17 -0.6 -0.33 -0.45 -0.76 -0.098 -0.58 8.8e+03 0.039 5 -4.1e+04 -
2 -1 0.3 -0.72 -0.12 1.6 -0.55 -0.99 -0.17 -0.6 -0.33 -0.45 -0.76 -0.098 -0.58 8.8e+03 0.039 2.5 -21 -
3 -1 0.3 -0.72 -0.12 1.6 -0.55 -0.99 -0.17 -0.6 -0.33 -0.45 -0.76 -0.098 -0.58 8.8e+03 0.039 1.2 -1.5 -
4 -0.82 1.5 -0.95 -0.29 0.98 -1.2 -1.4 0.0057 -0.8 -0.29 -0.88 -1.2 -0.093 -0.47 8.3e+03 0.017 12 0.96 ++
5 -0.82 1.5 -0.95 -0.29 0.98 -1.2 -1.4 0.0057 -0.8 -0.29 -0.88 -1.2 -0.093 -0.47 8.3e+03 0.017 1.4 -2.2 -
6 -0.82 1.5 -0.95 -0.29 0.98 -1.2 -1.4 0.0057 -0.8 -0.29 -0.88 -1.2 -0.093 -0.47 8.3e+03 0.017 0.68 -0.11 -
7 -0.63 1.4 -1.6 -0.5 0.49 -0.93 -1.6 -0.3 -0.71 -0.032 -0.93 -1.4 -0.099 -0.57 8.2e+03 0.012 6.8 1.2 ++
8 -0.37 1.3 -2.2 -0.83 0.12 -1 -1.7 -0.86 -0.72 0.16 -1 -1.6 -0.3 -0.72 8.2e+03 0.0057 68 0.97 ++
9 -0.37 1.3 -2.3 -0.9 0.13 -1.1 -1.6 -0.73 -0.72 0.17 -1 -1.5 -0.29 -0.75 8.2e+03 0.00012 6.8e+02 1 ++
10 -0.37 1.3 -2.3 -0.9 0.13 -1.1 -1.6 -0.73 -0.72 0.17 -1 -1.5 -0.29 -0.75 8.2e+03 7e-08 6.8e+02 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 95/100
Biogeme parameters read from biogeme.toml.
Model with 11 unknown parameters [max: 50]
*** Estimate b07everything_000143
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 0 0 1.8 1.1e+04 0.31 0.5 -0.31 -
1 0 0 0 0 1 0 0 0 0 0 1.8 1.1e+04 0.31 0.25 0.027 -
2 -0.25 0.25 -0.25 -0.25 1 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 0.13 0.25 0.39 +
3 -0.25 0.25 -0.25 -0.25 1 -0.25 0.25 0.25 -0.25 0.25 2 9.2e+03 0.13 0.12 -0.13 -
4 -0.12 0.38 -0.38 -0.28 1 -0.15 0.38 0.12 -0.38 0.12 2 9e+03 0.084 0.12 0.42 +
5 -0.25 0.39 -0.5 -0.28 0.99 -0.28 0.25 0.19 -0.42 0.16 2 8.8e+03 0.055 0.12 0.73 +
6 -0.12 0.45 -0.62 -0.28 0.95 -0.21 0.12 0.061 -0.51 0.031 2 8.6e+03 0.06 0.12 0.68 +
7 -0.24 0.45 -0.71 -0.28 0.94 -0.32 0 0.15 -0.52 0.1 2.1 8.5e+03 0.065 0.12 0.59 +
8 -0.21 0.47 -0.8 -0.28 0.91 -0.31 -0.031 0.029 -0.55 -0.022 2.1 8.4e+03 0.05 0.12 0.84 +
9 -0.3 0.5 -0.92 -0.26 0.81 -0.42 -0.16 0.066 -0.59 -0.0015 2.1 8.4e+03 0.049 0.12 0.61 +
10 -0.23 0.54 -0.97 -0.25 0.75 -0.39 -0.28 -0.054 -0.62 -0.12 2.1 8.3e+03 0.032 0.12 0.64 +
11 -0.32 0.57 -1.1 -0.25 0.66 -0.52 -0.38 -0.058 -0.64 -0.13 2.1 8.2e+03 0.021 0.12 0.66 +
12 -0.29 0.64 -1.2 -0.24 0.54 -0.56 -0.45 -0.16 -0.65 -0.24 2.1 8.2e+03 0.028 0.12 0.43 +
13 -0.29 0.64 -1.2 -0.24 0.54 -0.56 -0.45 -0.16 -0.65 -0.24 2.1 8.2e+03 0.028 0.062 0.032 -
14 -0.3 0.65 -1.2 -0.24 0.51 -0.59 -0.51 -0.11 -0.65 -0.19 2.1 8.2e+03 0.016 0.062 0.5 +
15 -0.31 0.69 -1.3 -0.24 0.46 -0.63 -0.48 -0.13 -0.63 -0.22 2.1 8.2e+03 0.015 0.062 0.51 +
16 -0.31 0.69 -1.3 -0.24 0.46 -0.63 -0.48 -0.13 -0.63 -0.22 2.1 8.2e+03 0.015 0.031 -0.17 -
17 -0.28 0.72 -1.2 -0.24 0.43 -0.6 -0.51 -0.12 -0.62 -0.22 2 8.2e+03 0.013 0.031 0.44 +
18 -0.3 0.73 -1.3 -0.24 0.42 -0.63 -0.5 -0.12 -0.61 -0.23 2 8.2e+03 0.004 0.31 0.92 ++
19 -0.3 0.73 -1.3 -0.24 0.42 -0.63 -0.5 -0.12 -0.61 -0.23 2 8.2e+03 0.004 0.16 -0.65 -
20 -0.3 0.73 -1.3 -0.24 0.42 -0.63 -0.5 -0.12 -0.61 -0.23 2 8.2e+03 0.004 0.078 0.041 -
21 -0.26 0.79 -1.3 -0.26 0.38 -0.64 -0.54 -0.13 -0.58 -0.27 2 8.2e+03 0.015 0.078 0.4 +
22 -0.26 0.79 -1.3 -0.26 0.38 -0.64 -0.54 -0.13 -0.58 -0.27 2 8.2e+03 0.015 0.039 -0.028 -
23 -0.27 0.82 -1.4 -0.27 0.36 -0.67 -0.58 -0.091 -0.56 -0.24 1.9 8.2e+03 0.015 0.039 0.43 +
24 -0.28 0.83 -1.4 -0.27 0.36 -0.69 -0.54 -0.11 -0.56 -0.26 1.9 8.2e+03 0.01 0.039 0.42 +
25 -0.25 0.86 -1.4 -0.28 0.36 -0.68 -0.56 -0.1 -0.55 -0.27 1.9 8.2e+03 0.0082 0.039 0.38 +
26 -0.25 0.86 -1.4 -0.28 0.36 -0.68 -0.56 -0.1 -0.55 -0.27 1.9 8.2e+03 0.0082 0.02 -0.74 -
27 -0.27 0.86 -1.4 -0.28 0.36 -0.7 -0.55 -0.084 -0.54 -0.25 1.9 8.2e+03 0.0063 0.02 0.48 +
28 -0.26 0.87 -1.4 -0.28 0.35 -0.7 -0.55 -0.093 -0.54 -0.27 1.9 8.2e+03 0.0042 0.02 0.84 +
29 -0.26 0.88 -1.4 -0.29 0.35 -0.71 -0.57 -0.085 -0.53 -0.27 1.8 8.2e+03 0.0041 0.02 0.72 +
30 -0.27 0.89 -1.4 -0.3 0.35 -0.72 -0.56 -0.085 -0.52 -0.28 1.8 8.2e+03 0.003 0.2 0.91 ++
31 -0.26 1 -1.5 -0.35 0.32 -0.78 -0.62 -0.081 -0.48 -0.34 1.6 8.2e+03 0.013 0.2 0.17 +
32 -0.26 1 -1.5 -0.35 0.32 -0.78 -0.62 -0.081 -0.48 -0.34 1.6 8.2e+03 0.013 0.098 -0.0045 -
33 -0.32 1.1 -1.6 -0.39 0.32 -0.88 -0.63 -0.035 -0.45 -0.35 1.5 8.2e+03 0.0079 0.098 0.24 +
34 -0.36 1.1 -1.5 -0.45 0.36 -0.9 -0.71 -0.1 -0.55 -0.39 1.5 8.2e+03 0.0023 0.098 0.22 +
35 -0.32 1.1 -1.5 -0.42 0.27 -0.82 -0.61 -0.11 -0.51 -0.41 1.4 8.2e+03 0.029 0.98 50 ++
36 -0.32 1.1 -1.5 -0.42 0.27 -0.82 -0.61 -0.11 -0.51 -0.41 1.4 8.2e+03 0.029 0.37 -4.6 -
37 -0.32 1.1 -1.5 -0.42 0.27 -0.82 -0.61 -0.11 -0.51 -0.41 1.4 8.2e+03 0.029 0.18 -2.1 -
38 -0.32 1.1 -1.5 -0.42 0.27 -0.82 -0.61 -0.11 -0.51 -0.41 1.4 8.2e+03 0.029 0.092 -1.3 -
39 -0.32 1.1 -1.5 -0.42 0.27 -0.82 -0.61 -0.11 -0.51 -0.41 1.4 8.2e+03 0.029 0.046 -0.64 -
40 -0.36 1.1 -1.5 -0.43 0.28 -0.86 -0.65 -0.069 -0.51 -0.36 1.5 8.2e+03 0.007 0.046 0.86 +
41 -0.36 1.1 -1.5 -0.43 0.28 -0.86 -0.65 -0.069 -0.51 -0.36 1.5 8.2e+03 0.007 0.023 -0.69 -
42 -0.36 1.1 -1.5 -0.43 0.28 -0.86 -0.65 -0.069 -0.51 -0.36 1.5 8.2e+03 0.007 0.012 -0.077 -
43 -0.35 1.1 -1.5 -0.43 0.29 -0.87 -0.64 -0.08 -0.52 -0.38 1.5 8.2e+03 0.0035 0.012 0.63 +
44 -0.35 1.1 -1.5 -0.43 0.3 -0.87 -0.65 -0.069 -0.52 -0.37 1.5 8.2e+03 0.0032 0.012 0.63 +
45 -0.35 1.1 -1.5 -0.43 0.31 -0.87 -0.65 -0.074 -0.52 -0.37 1.5 8.1e+03 0.0021 0.012 0.79 +
46 -0.34 1.1 -1.5 -0.43 0.32 -0.87 -0.65 -0.068 -0.52 -0.37 1.5 8.1e+03 0.0015 0.012 0.77 +
47 -0.34 1.1 -1.5 -0.44 0.33 -0.87 -0.65 -0.066 -0.53 -0.37 1.5 8.1e+03 0.0012 0.012 0.49 +
48 -0.34 1.1 -1.5 -0.44 0.33 -0.87 -0.65 -0.066 -0.53 -0.37 1.5 8.1e+03 0.0012 0.0058 -0.5 -
49 -0.33 1.1 -1.5 -0.43 0.33 -0.86 -0.65 -0.068 -0.53 -0.37 1.5 8.1e+03 0.001 0.0058 0.4 +
50 -0.34 1.1 -1.5 -0.43 0.33 -0.86 -0.65 -0.064 -0.53 -0.37 1.5 8.1e+03 0.0014 0.0058 0.41 +
51 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.65 -0.064 -0.53 -0.37 1.5 8.1e+03 0.00054 0.0058 0.77 +
52 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.064 -0.54 -0.36 1.5 8.1e+03 0.0004 0.0058 0.65 +
53 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 0.00021 0.0058 0.65 +
54 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 0.00021 0.0029 0.034 -
55 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.063 -0.54 -0.36 1.5 8.1e+03 0.00012 0.0029 0.57 +
56 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.063 -0.54 -0.36 1.5 8.1e+03 0.00012 0.0014 -0.21 -
57 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 8.3e-05 0.0014 0.63 +
58 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 5.5e-05 0.0014 0.72 +
59 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 3.9e-05 0.0014 0.73 +
60 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 3.9e-05 0.00072 -0.8 -
61 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 5.1e-05 0.00072 0.45 +
62 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 5.1e-05 0.00036 -0.62 -
63 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 2.4e-05 0.00036 0.54 +
64 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 2.4e-05 0.00036 0.29 +
65 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 6.7e-06 0.00036 0.9 +
66 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 6.7e-06 0.00018 -9.2 -
67 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 6.7e-06 9e-05 -3.1 -
68 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 6.7e-06 4.5e-05 -1.2 -
69 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 6.7e-06 2.3e-05 -0.37 -
70 -0.33 1.1 -1.5 -0.43 0.33 -0.85 -0.64 -0.062 -0.54 -0.36 1.5 8.1e+03 5.8e-06 2.3e-05 0.41 -
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 96/100
Considering neighbor 0/20 for current solution
Attempt 97/100
Biogeme parameters read from biogeme.toml.
Model with 8 unknown parameters [max: 50]
*** Estimate b07everything_000144
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time_ref b_time_diff_com square_tt_coef cube_tt_coef b_cost asc_car mu_public Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 1 1.1e+04 0.26 0.5 -0.071 -
1 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.5 0.51 +
2 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.25 0.51 -
3 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.12 0.51 -
4 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.062 0.51 -
5 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.031 0.51 -
6 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.016 0.51 -
7 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.0078 0.51 -
8 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.0039 -2.4 -
9 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.002 -1.9 -
10 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.00098 -1.4 -
11 -0.5 -0.5 -0.5 0 0 -0.5 0.5 1.5 9.5e+03 9.6 0.00049 -0.69 -
12 -0.5 -0.5 -0.5 0.00049 -0.00049 -0.5 0.5 1.5 9.5e+03 10 0.00049 0.12 +
13 -0.5 -0.5 -0.5 0.00098 -0.00024 -0.5 0.5 1.5 9.5e+03 1.6 0.0049 1.3 ++
14 -0.5 -0.5 -0.5 0.0059 -0.0003 -0.5 0.49 1.5 9.5e+03 5.2 0.049 0.92 ++
15 -0.5 -0.54 -0.5 0.055 -0.00042 -0.5 0.45 1.5 9.3e+03 9.4 0.049 0.88 +
16 -0.5 -0.58 -0.51 0.1 -0.0011 -0.49 0.4 1.5 9.2e+03 7.2 0.049 0.59 +
17 -0.49 -0.62 -0.5 0.14 -0.00078 -0.49 0.35 1.5 9e+03 7.9 0.49 0.91 ++
18 -0.49 -0.62 -0.5 0.14 -0.00078 -0.49 0.35 1.5 9e+03 7.9 0.24 -0.19 -
19 -0.41 -0.75 -0.49 0.22 -0.0017 -0.5 0.11 1.4 8.9e+03 6 0.24 0.44 +
20 -0.41 -0.75 -0.49 0.22 -0.0017 -0.5 0.11 1.4 8.9e+03 6 0.12 -0.37 -
21 -0.38 -0.69 -0.46 0.093 -0.00085 -0.53 0.08 1.4 8.8e+03 6.3 0.12 0.56 +
22 -0.4 -0.8 -0.44 0.097 -0.00087 -0.57 -0.042 1.4 8.7e+03 6.2 0.12 0.9 +
23 -0.43 -0.87 -0.41 -0.025 -6e-05 -0.63 -0.069 1.4 8.7e+03 13 0.12 0.12 +
24 -0.47 -0.99 -0.38 -0.011 -0.00047 -0.69 -0.14 1.4 8.7e+03 15 0.12 0.44 +
25 -0.47 -0.99 -0.38 -0.011 -0.00047 -0.69 -0.14 1.4 8.7e+03 15 0.061 -3.3 -
26 -0.47 -0.99 -0.38 -0.011 -0.00047 -0.69 -0.14 1.4 8.7e+03 15 0.031 -0.8 -
27 -0.48 -1 -0.38 0.02 -0.0003 -0.7 -0.14 1.4 8.7e+03 13 0.031 0.3 +
28 -0.46 -1 -0.38 -0.011 -0.00027 -0.7 -0.14 1.4 8.6e+03 7.5 0.031 0.6 +
29 -0.46 -1 -0.38 -0.011 -0.00027 -0.7 -0.14 1.4 8.6e+03 7.5 0.015 -0.97 -
30 -0.46 -1 -0.38 -0.011 -0.00027 -0.7 -0.14 1.4 8.6e+03 7.5 0.0076 0.058 -
31 -0.46 -1 -0.38 -0.018 -0.00016 -0.7 -0.14 1.4 8.6e+03 8.9 0.0076 0.65 +
32 -0.46 -1 -0.38 -0.017 -0.00021 -0.7 -0.14 1.4 8.6e+03 6.2 0.0076 0.4 +
33 -0.46 -1 -0.38 -0.016 -0.00019 -0.7 -0.14 1.4 8.6e+03 2.1 0.076 1.1 ++
34 -0.43 -1.1 -0.38 -0.049 -3.2e-05 -0.72 -0.15 1.4 8.6e+03 8.5 0.076 0.41 +
35 -0.42 -1.2 -0.39 -0.034 -0.00013 -0.72 -0.15 1.3 8.6e+03 5.7 0.076 0.73 +
36 -0.43 -1.2 -0.39 -0.061 -2.4e-06 -0.74 -0.11 1.4 8.6e+03 2.2 0.076 0.78 +
37 -0.4 -1.3 -0.41 -0.057 -1.7e-05 -0.74 -0.089 1.3 8.6e+03 0.35 0.76 0.91 ++
38 -0.4 -1.3 -0.41 -0.057 -1.7e-05 -0.74 -0.089 1.3 8.6e+03 0.35 0.33 -4.8 -
39 -0.4 -1.3 -0.41 -0.057 -1.7e-05 -0.74 -0.089 1.3 8.6e+03 0.35 0.16 -1.3 -
40 -0.4 -1.3 -0.41 -0.057 -1.7e-05 -0.74 -0.089 1.3 8.6e+03 0.35 0.082 -0.033 -
41 -0.37 -1.4 -0.43 -0.077 7.3e-05 -0.74 -0.09 1.3 8.6e+03 2 0.082 0.4 +
42 -0.37 -1.5 -0.45 -0.073 3.8e-05 -0.74 -0.056 1.3 8.6e+03 9.6 0.082 0.84 +
43 -0.39 -1.6 -0.48 -0.084 0.00011 -0.75 -0.0026 1.3 8.6e+03 13 0.082 0.55 +
44 -0.39 -1.6 -0.48 -0.084 0.00011 -0.75 -0.0026 1.3 8.6e+03 13 0.041 -0.16 -
45 -0.39 -1.6 -0.48 -0.084 0.00011 -0.75 -0.0026 1.3 8.6e+03 13 0.02 -0.56 -
46 -0.39 -1.6 -0.48 -0.084 0.00011 -0.75 -0.0026 1.3 8.6e+03 13 0.01 -1 -
47 -0.39 -1.6 -0.48 -0.084 0.00011 -0.75 -0.0026 1.3 8.6e+03 13 0.0051 -1.8 -
48 -0.39 -1.6 -0.48 -0.084 0.00011 -0.75 -0.0026 1.3 8.6e+03 13 0.0026 -0.52 -
49 -0.39 -1.6 -0.48 -0.084 0.00011 -0.75 -0.0026 1.3 8.6e+03 13 0.0013 -0.066 -
50 -0.39 -1.6 -0.48 -0.085 9.1e-05 -0.75 -0.0026 1.3 8.6e+03 12 0.0013 0.11 +
51 -0.39 -1.6 -0.48 -0.084 9.8e-05 -0.75 -0.0033 1.3 8.6e+03 0.2 0.013 1 ++
52 -0.38 -1.6 -0.48 -0.08 8.1e-05 -0.75 -0.0098 1.3 8.6e+03 2.9 0.013 0.71 +
53 -0.37 -1.6 -0.49 -0.085 0.00011 -0.75 -0.013 1.2 8.6e+03 1.6 0.013 0.77 +
54 -0.37 -1.6 -0.49 -0.083 9.4e-05 -0.75 -0.011 1.2 8.6e+03 0.0071 0.13 0.97 ++
55 -0.36 -1.7 -0.54 -0.093 0.00014 -0.76 0.02 1.2 8.6e+03 0.69 0.13 0.83 +
56 -0.39 -1.9 -0.6 -0.09 0.00013 -0.78 0.12 1.1 8.6e+03 2.5 0.13 0.31 +
57 -0.39 -1.9 -0.66 -0.094 0.00014 -0.78 0.14 1 8.6e+03 0.81 0.13 0.6 +
58 -0.39 -1.9 -0.66 -0.094 0.00014 -0.78 0.14 1 8.6e+03 0.81 0.064 -1.8 -
59 -0.39 -1.9 -0.66 -0.094 0.00014 -0.78 0.14 1 8.6e+03 0.81 0.032 -0.2 -
60 -0.42 -2 -0.67 -0.099 0.00017 -0.78 0.14 1 8.6e+03 3.6 0.032 0.68 +
61 -0.43 -2 -0.7 -0.099 0.00017 -0.78 0.11 1 8.6e+03 1.9 0.032 0.32 +
62 -0.44 -2 -0.71 -0.095 0.00015 -0.79 0.15 1 8.6e+03 5.8 0.032 0.33 +
63 -0.44 -2 -0.71 -0.095 0.00015 -0.79 0.15 1 8.6e+03 5.8 0.016 -0.56 -
64 -0.45 -2 -0.72 -0.1 0.00017 -0.79 0.14 1 8.6e+03 7.2 0.016 0.15 +
65 -0.45 -2 -0.72 -0.099 0.00017 -0.79 0.14 1 8.6e+03 0.49 0.016 0.74 +
66 -0.45 -2 -0.72 -0.099 0.00017 -0.79 0.14 1 8.6e+03 0.49 0.008 -0.74 -
67 -0.45 -2 -0.72 -0.099 0.00017 -0.79 0.14 1 8.6e+03 0.49 0.004 -1 -
68 -0.45 -2 -0.72 -0.099 0.00017 -0.79 0.14 1 8.6e+03 0.49 0.002 -0.2 -
69 -0.45 -2 -0.72 -0.099 0.00017 -0.79 0.14 1 8.6e+03 0.49 0.001 -0.043 -
70 -0.45 -2 -0.72 -0.098 0.00016 -0.79 0.14 1 8.6e+03 1.4 0.001 0.2 +
71 -0.45 -2 -0.72 -0.099 0.00017 -0.79 0.14 1 8.6e+03 0.059 0.01 1 ++
72 -0.45 -2 -0.73 -0.099 0.00017 -0.79 0.15 1 8.6e+03 1.5 0.01 0.85 +
73 -0.45 -2 -0.73 -0.099 0.00016 -0.79 0.15 1 8.6e+03 1.1 0.01 0.81 +
74 -0.45 -2 -0.74 -0.099 0.00017 -0.79 0.15 1 8.6e+03 0.39 0.1 0.92 ++
75 -0.43 -2.1 -0.84 -0.1 0.00018 -0.81 0.18 1 8.6e+03 0.89 0.1 0.16 +
76 -0.43 -2.1 -0.84 -0.1 0.00018 -0.81 0.18 1 8.6e+03 0.89 0.05 -0.4 -
77 -0.43 -2.1 -0.84 -0.1 0.00018 -0.81 0.18 1 8.6e+03 0.89 0.025 -0.18 -
78 -0.42 -2.1 -0.85 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.42 0.025 0.63 +
79 -0.43 -2.1 -0.85 -0.1 0.00017 -0.79 0.17 1 8.6e+03 0.54 0.025 0.74 +
80 -0.43 -2.1 -0.85 -0.1 0.00017 -0.79 0.17 1 8.6e+03 0.54 0.012 -0.2 -
81 -0.44 -2.1 -0.87 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.33 0.012 0.48 +
82 -0.43 -2 -0.88 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.075 0.012 0.48 +
83 -0.43 -2 -0.88 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.075 0.0062 0.062 -
84 -0.44 -2.1 -0.88 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.1 0.0062 0.61 +
85 -0.44 -2.1 -0.89 -0.1 0.00017 -0.8 0.16 1 8.6e+03 0.12 0.0062 0.5 +
86 -0.44 -2.1 -0.89 -0.1 0.00017 -0.8 0.16 1 8.6e+03 0.12 0.0031 0.027 -
87 -0.43 -2.1 -0.89 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.093 0.0031 0.84 +
88 -0.44 -2.1 -0.89 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.043 0.0031 0.85 +
89 -0.43 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.02 0.0031 0.68 +
90 -0.44 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.045 0.0031 0.57 +
91 -0.44 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.045 0.0016 -2.9 -
92 -0.43 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.037 0.0016 0.11 +
93 -0.44 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.013 0.0016 0.38 +
94 -0.43 -2.1 -0.9 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.03 0.0016 0.5 +
95 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.0056 0.0016 0.81 +
96 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.0056 0.00031 -2.2 -
97 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.0056 0.00015 0.026 -
98 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.0057 0.00015 0.69 +
99 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00095 0.00015 0.48 +
100 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.0037 0.00015 0.74 +
101 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00095 0.0015 0.94 ++
102 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00095 0.00077 -0.47 -
103 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.0079 0.00077 0.29 +
104 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00072 0.0077 0.98 ++
105 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00072 0.00022 -9.4 -
106 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00072 0.00011 -2.7 -
107 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00072 5.4e-05 -0.85 -
108 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00072 2.7e-05 -0.062 -
109 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 5.7e-05 2.7e-05 0.51 +
110 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 5.7e-05 1.4e-05 -0.98 -
111 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 5.7e-05 6.8e-06 -0.052 -
112 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 0.00012 6.8e-06 0.6 +
113 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 2.7e-05 6.8e-05 0.92 ++
114 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 4e-05 6.8e-05 0.47 +
115 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 4e-05 8.9e-06 -3.7 -
116 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 4e-05 4.5e-06 -0.51 -
117 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 1.2e-05 4.5e-06 0.42 +
118 -0.43 -2.1 -0.91 -0.1 0.00017 -0.79 0.16 1 8.6e+03 3.9e-06 4.5e-06 0.96 +
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 7 unknown parameters [max: 50]
*** Estimate b07everything_000145
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com b_cost asc_car_ref asc_car_diff_GA Function Relgrad Radius Rho
0 -0.88 1 -0.85 0.33 -0.64 -0.26 -0.44 8.5e+03 0.041 10 1.1 ++
1 -1.1 1.4 -1.1 0.0022 -0.69 -0.0081 -1.1 8.3e+03 0.0087 1e+02 1.1 ++
2 -1.1 1.5 -1.2 -0.16 -0.7 0.015 -1.2 8.3e+03 0.00039 1e+03 1 ++
3 -1.1 1.5 -1.2 -0.16 -0.7 0.015 -1.2 8.3e+03 1.2e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear [8311.858390140016, 7]
Attempt 98/100
Biogeme parameters read from biogeme.toml.
Model with 19 unknown parameters [max: 50]
*** Estimate b07everything_000146
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.48 -
1 1e+04 1.4 0.5 0.21 +
2 1e+04 1.4 0.25 -5.5 -
3 1e+04 1.4 0.12 -6.3 -
4 1e+04 1.4 0.062 -3.9 -
5 9.6e+03 6.2 0.062 0.86 +
6 9.6e+03 6.2 0.031 -0.26 -
7 9.6e+03 6.2 0.016 -0.22 -
8 9.6e+03 6.2 0.0078 -0.2 -
9 9.5e+03 1.7 0.0078 0.2 +
10 9.5e+03 1.7 0.0039 -0.063 -
11 9.4e+03 0.96 0.039 0.96 ++
12 9.3e+03 0.24 0.39 1 ++
13 9.3e+03 0.24 0.2 -0.029 -
14 9.1e+03 1.5 0.2 0.6 +
15 9.1e+03 1.5 0.098 -9.4 -
16 9.1e+03 1.5 0.049 -12 -
17 9.1e+03 1.5 0.024 -19 -
18 9.1e+03 1.5 0.012 -6.2 -
19 9.1e+03 1.5 0.0061 -2.5 -
20 9.1e+03 4 0.0061 0.7 +
21 9e+03 0.68 0.061 1.1 ++
22 8.9e+03 1.2 0.61 0.98 ++
23 8.6e+03 8.8 0.61 0.4 +
24 8.6e+03 8.8 0.31 -6.8 -
25 8.6e+03 8.8 0.15 -6.1 -
26 8.6e+03 8.8 0.076 -3.9 -
27 8.6e+03 8.8 0.038 -3 -
28 8.6e+03 8.8 0.019 -2.4 -
29 8.6e+03 8.8 0.0095 -2 -
30 8.6e+03 8.8 0.0048 -1.5 -
31 8.6e+03 8.8 0.0024 -0.81 -
32 8.6e+03 8.8 0.0012 -0.24 -
33 8.6e+03 8.8 0.0006 0.093 -
34 8.5e+03 4.8 0.0006 0.67 +
35 8.5e+03 4.8 0.0003 -1.1 -
36 8.5e+03 4.8 0.00015 -0.42 -
37 8.5e+03 4.2 0.00015 0.63 +
38 8.5e+03 0.31 0.0015 0.95 ++
39 8.5e+03 0.095 0.015 1 ++
40 8.5e+03 0.19 0.15 1 ++
41 8.4e+03 0.12 1.5 1 ++
42 8.4e+03 0.12 0.75 -0.3 -
43 8.2e+03 0.4 7.5 0.96 ++
44 8.2e+03 0.4 0.3 -2.8 -
45 8.1e+03 2.3 0.3 0.67 +
46 8.1e+03 0.47 3 0.98 ++
47 8.1e+03 0.47 0.41 -11 -
48 8.1e+03 1.1 0.41 0.73 +
49 8.1e+03 1.1 4.1 1.2 ++
50 8.1e+03 1.1 1.2 -1e+02 -
51 8.1e+03 1.1 0.6 -17 -
52 8.1e+03 1.1 0.3 -2.4 -
53 8.1e+03 5.3 0.3 0.44 +
54 8.1e+03 2.6 3 0.99 ++
55 8.1e+03 0.87 30 1 ++
56 8.1e+03 0.013 3e+02 1 ++
57 8.1e+03 3.6e-05 3e+03 1 ++
58 8.1e+03 0.0002 3e+04 1 ++
59 8.1e+03 4.8e-08 3e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
asc:GA-LUGGAGE;b_cost_gen_altspec:altspec;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:power [8064.6221207930585, 19]
Attempt 99/100
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000147
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost asc_car_ref asc_car_diff_GA mu_public Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 1 1.1e+04 0.26 0.5 -0.22 -
1 -0.5 -0.5 -0.5 -0.5 1 -0.5 0.5 -0.5 1.5 9.7e+03 0.14 0.5 0.44 +
2 -0.23 2.8e-17 -1 -0.62 1.2 -0.11 0 -1 1 9e+03 0.06 0.5 0.37 +
3 -0.23 2.8e-17 -1 -0.62 1.2 -0.11 0 -1 1 9e+03 0.06 0.25 -0.0053 -
4 -0.48 0.25 -1.2 -0.37 0.99 -0.36 0.25 -1.2 1.2 8.5e+03 0.033 0.25 0.63 +
5 -0.3 0.5 -1.2 -0.33 0.74 -0.59 0.052 -1.3 1.1 8.5e+03 0.059 0.25 0.1 +
6 -0.52 0.6 -1.3 -0.34 0.7 -0.62 0.072 -1.3 1.3 8.3e+03 0.028 0.25 0.78 +
7 -0.41 0.85 -1.3 -0.34 0.61 -0.67 0.068 -1.3 1.3 8.3e+03 0.022 0.25 0.71 +
8 -0.51 1.1 -1.4 -0.36 0.51 -0.66 0.02 -1.3 1.5 8.3e+03 0.024 0.25 0.39 +
9 -0.51 1.1 -1.4 -0.36 0.51 -0.66 0.02 -1.3 1.5 8.3e+03 0.024 0.12 -0.18 -
10 -0.42 1.2 -1.4 -0.37 0.43 -0.71 0.041 -1.3 1.5 8.2e+03 0.02 0.12 0.24 +
11 -0.55 1.2 -1.4 -0.45 0.3 -0.74 0.061 -1.3 1.3 8.2e+03 0.0074 0.12 0.31 +
12 -0.5 1.3 -1.5 -0.46 0.43 -0.67 0.03 -1.3 1.3 8.2e+03 0.0093 0.12 0.29 +
13 -0.5 1.3 -1.5 -0.46 0.43 -0.67 0.03 -1.3 1.3 8.2e+03 0.0093 0.062 -0.76 -
14 -0.57 1.3 -1.5 -0.47 0.4 -0.7 0.092 -1.3 1.4 8.2e+03 0.0084 0.062 0.2 +
15 -0.57 1.3 -1.5 -0.47 0.4 -0.7 0.092 -1.3 1.4 8.2e+03 0.0084 0.031 -0.078 -
16 -0.53 1.3 -1.4 -0.47 0.4 -0.71 0.061 -1.3 1.3 8.2e+03 0.0062 0.031 0.55 +
17 -0.56 1.3 -1.5 -0.48 0.4 -0.7 0.056 -1.3 1.3 8.2e+03 0.0034 0.031 0.54 +
18 -0.56 1.3 -1.4 -0.48 0.39 -0.71 0.087 -1.3 1.3 8.2e+03 0.0033 0.031 0.49 +
19 -0.58 1.3 -1.5 -0.49 0.39 -0.7 0.085 -1.3 1.3 8.2e+03 0.0014 0.031 0.86 +
20 -0.58 1.3 -1.5 -0.49 0.39 -0.7 0.085 -1.3 1.3 8.2e+03 0.0014 0.016 -0.47 -
21 -0.59 1.3 -1.5 -0.51 0.38 -0.72 0.1 -1.3 1.3 8.2e+03 0.0018 0.016 0.67 +
22 -0.59 1.3 -1.5 -0.51 0.38 -0.71 0.096 -1.3 1.2 8.2e+03 0.0024 0.016 0.56 +
23 -0.61 1.4 -1.5 -0.51 0.38 -0.7 0.1 -1.3 1.2 8.2e+03 0.0013 0.016 0.57 +
24 -0.61 1.4 -1.5 -0.52 0.38 -0.71 0.11 -1.3 1.2 8.2e+03 0.0021 0.016 0.63 +
25 -0.62 1.4 -1.5 -0.52 0.38 -0.7 0.1 -1.3 1.2 8.2e+03 0.0021 0.016 0.47 +
26 -0.64 1.4 -1.5 -0.52 0.38 -0.71 0.12 -1.3 1.2 8.2e+03 0.0014 0.016 0.57 +
27 -0.64 1.4 -1.5 -0.52 0.37 -0.71 0.12 -1.3 1.2 8.2e+03 0.0019 0.016 0.7 +
28 -0.65 1.4 -1.5 -0.53 0.37 -0.7 0.11 -1.3 1.2 8.2e+03 0.0019 0.016 0.74 +
29 -0.66 1.4 -1.5 -0.53 0.37 -0.71 0.13 -1.3 1.2 8.2e+03 0.0016 0.16 0.9 ++
30 -0.78 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.002 0.16 0.48 +
31 -0.78 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.002 0.078 -14 -
32 -0.78 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.002 0.039 -5.3 -
33 -0.78 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.002 0.02 -1.3 -
34 -0.78 1.6 -1.6 -0.56 0.35 -0.7 0.16 -1.2 1.1 8.2e+03 0.0013 0.02 0.19 +
35 -0.8 1.6 -1.6 -0.56 0.34 -0.71 0.15 -1.2 1.1 8.2e+03 0.0011 0.02 0.42 +
36 -0.8 1.6 -1.6 -0.56 0.34 -0.71 0.15 -1.2 1.1 8.2e+03 0.0011 0.0098 -2.2 -
37 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.00047 0.0098 0.54 +
38 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.00047 0.0049 -2.2 -
39 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.16 -1.2 1.1 8.2e+03 0.0007 0.0049 0.1 +
40 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.00027 0.0049 0.72 +
41 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.00014 0.0049 0.36 +
42 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 0.00014 0.0024 -0.014 -
43 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 4e-05 0.0024 0.87 +
44 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 7.3e-05 0.0024 0.5 +
45 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 5.8e-05 0.0024 0.61 +
46 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 9e-05 0.0024 0.48 +
47 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 9e-05 0.0012 -1.8 -
48 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 9e-05 0.00061 -0.45 -
49 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 4.9e-05 0.00061 0.64 +
50 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 2e-05 0.00061 0.54 +
51 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 2e-05 0.00031 0.086 -
52 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 2.1e-05 0.0031 0.92 ++
53 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 2.1e-05 0.0015 -3 -
54 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 2.1e-05 0.00076 -0.97 -
55 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 2.1e-05 0.00038 -0.16 -
56 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 3.7e-05 0.00038 0.17 +
57 -0.79 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 1.3e-05 0.00038 0.77 +
58 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 2e-05 0.00038 0.23 +
59 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 8.2e-06 0.00038 0.86 +
60 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 8.2e-06 0.00019 -0.2 -
61 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 9.2e-06 0.00019 0.61 +
62 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 6.2e-06 0.0019 0.94 ++
63 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 6.2e-06 0.00095 -2.3 -
64 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 6.2e-06 0.00048 -0.68 -
65 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 6.2e-06 0.00024 -0.054 -
66 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 7.9e-06 0.00024 0.51 +
67 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 7.2e-06 0.00024 0.8 +
68 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 7.2e-06 0.00012 -0.44 -
69 -0.8 1.6 -1.6 -0.56 0.35 -0.71 0.15 -1.2 1.1 8.2e+03 3.9e-06 0.00012 0.7 -
Considering neighbor 0/20 for current solution
Biogeme parameters read from biogeme.toml.
Model with 9 unknown parameters [max: 50]
*** Estimate b07everything_000148
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Analytical Hessian method: full
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost asc_car_ref asc_car_diff_GA mu_existing Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 1.8 1.1e+04 0.28 0.5 -0.068 -
1 -0.5 0.5 -0.5 -0.5 1 -0.5 0.5 -0.5 2.3 9e+03 0.19 0.5 0.34 +
2 -0.26 0.96 -1 -0.61 0.84 -0.37 0 -1 1.8 8.4e+03 0.083 0.5 0.34 +
3 -0.76 0.88 -1.4 -0.59 0.7 -0.47 0.16 -0.99 1.8 8.4e+03 0.062 0.5 0.12 +
4 -0.76 0.88 -1.4 -0.59 0.7 -0.47 0.16 -0.99 1.8 8.4e+03 0.062 0.25 0.0061 -
5 -0.53 0.97 -1.2 -0.52 0.45 -0.63 0.17 -0.98 1.6 8.2e+03 0.023 0.25 0.68 +
6 -0.53 0.97 -1.2 -0.52 0.45 -0.63 0.17 -0.98 1.6 8.2e+03 0.023 0.12 -1.9 -
7 -0.65 1.1 -1.3 -0.52 0.36 -0.51 0.045 -0.87 1.6 8.2e+03 0.014 0.12 0.18 +
8 -0.53 1.1 -1.3 -0.49 0.34 -0.57 0.13 -0.84 1.6 8.2e+03 0.01 0.12 0.75 +
9 -0.53 1.1 -1.3 -0.49 0.34 -0.57 0.13 -0.84 1.6 8.2e+03 0.01 0.062 -1.6 -
10 -0.53 1.1 -1.3 -0.49 0.34 -0.57 0.13 -0.84 1.6 8.2e+03 0.01 0.031 -0.7 -
11 -0.56 1.1 -1.3 -0.52 0.37 -0.6 0.16 -0.81 1.6 8.2e+03 0.0062 0.031 0.14 +
12 -0.53 1.1 -1.4 -0.51 0.36 -0.59 0.13 -0.8 1.6 8.2e+03 0.006 0.031 0.68 +
13 -0.56 1.2 -1.4 -0.48 0.33 -0.62 0.16 -0.76 1.6 8.2e+03 0.0054 0.031 0.61 +
14 -0.53 1.2 -1.4 -0.47 0.33 -0.6 0.15 -0.76 1.6 8.2e+03 0.0036 0.031 0.69 +
15 -0.54 1.2 -1.4 -0.47 0.33 -0.59 0.18 -0.75 1.6 8.2e+03 0.0026 0.031 0.56 +
16 -0.51 1.2 -1.5 -0.46 0.32 -0.6 0.18 -0.73 1.5 8.2e+03 0.0023 0.031 0.52 +
17 -0.51 1.2 -1.5 -0.46 0.32 -0.6 0.18 -0.73 1.5 8.2e+03 0.0023 0.016 0.031 -
18 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.72 1.5 8.2e+03 0.0018 0.016 0.38 +
19 -0.52 1.2 -1.5 -0.45 0.3 -0.6 0.18 -0.7 1.5 8.2e+03 0.0011 0.016 0.5 +
20 -0.52 1.2 -1.5 -0.45 0.3 -0.6 0.18 -0.7 1.5 8.2e+03 0.0011 0.0078 -1.9 -
21 -0.52 1.2 -1.5 -0.45 0.3 -0.6 0.18 -0.7 1.5 8.2e+03 0.0011 0.0039 -0.014 -
22 -0.51 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.7 1.5 8.2e+03 0.00044 0.0039 0.66 +
23 -0.51 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.7 1.5 8.2e+03 0.00044 0.002 -0.64 -
24 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00039 0.002 0.22 +
25 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00041 0.002 0.82 +
26 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00022 0.002 0.85 +
27 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00033 0.002 0.85 +
28 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00036 0.002 0.77 +
29 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00018 0.02 0.92 ++
30 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.02 0.37 +
31 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0098 -3.1 -
32 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0049 -1.3 -
33 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0024 -0.73 -
34 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0012 -0.19 -
35 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 0.00014 0.0012 0.48 +
36 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 9.6e-05 0.0012 0.81 +
37 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 9.6e-05 0.00061 0.0062 -
38 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 0.00013 0.00061 0.49 +
39 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 0.0001 0.00061 0.59 +
40 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 4.5e-05 0.00061 0.84 +
41 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 7.9e-05 0.00061 0.59 +
42 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 4.2e-05 0.00061 0.73 +
43 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 4e-05 0.00061 0.59 +
44 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.8e-05 0.00061 0.74 +
45 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.8e-05 0.00031 -0.3 -
46 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 3.1e-05 0.00031 0.43 +
47 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 2.7e-05 0.00031 0.55 +
48 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 2.7e-05 0.00015 -0.087 -
49 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.7e-05 0.00015 0.51 +
50 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 6.8e-06 0.00015 0.74 +
51 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.2e-05 0.00015 0.53 +
52 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.3e-05 0.00015 0.27 +
53 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 3.5e-06 0.00015 0.66 +
Considering neighbor 1/20 for current solution
*** New pareto solution:
asc:GA;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:boxcox [8176.91951763317, 9]
Pareto file has been updated: b07everything_assisted.pareto
Before the algorithm: 1 models, with 1 Pareto.
After the algorithm: 149 models, with 11 Pareto.
VNS algorithm completed. Postprocessing of the Pareto optimal solutions
Pareto set initialized from file with 149 elements [11 Pareto] and 0 invalid elements.
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000000.iter
Cannot read file __b07everything_000000.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com lambda_travel_t b_cost asc_car_ref asc_car_diff_GA mu_existing Function Relgrad Radius Rho
0 0 0 0 0 1 0 0 0 1.8 1.1e+04 0.28 0.5 -0.068 -
1 -0.5 0.5 -0.5 -0.5 1 -0.5 0.5 -0.5 2.3 9e+03 0.19 0.5 0.34 +
2 -0.26 0.96 -1 -0.61 0.84 -0.37 0 -1 1.8 8.4e+03 0.083 0.5 0.34 +
3 -0.76 0.88 -1.4 -0.59 0.7 -0.47 0.16 -0.99 1.8 8.4e+03 0.062 0.5 0.12 +
4 -0.76 0.88 -1.4 -0.59 0.7 -0.47 0.16 -0.99 1.8 8.4e+03 0.062 0.25 0.0061 -
5 -0.53 0.97 -1.2 -0.52 0.45 -0.63 0.17 -0.98 1.6 8.2e+03 0.023 0.25 0.68 +
6 -0.53 0.97 -1.2 -0.52 0.45 -0.63 0.17 -0.98 1.6 8.2e+03 0.023 0.12 -1.9 -
7 -0.65 1.1 -1.3 -0.52 0.36 -0.51 0.045 -0.87 1.6 8.2e+03 0.014 0.12 0.18 +
8 -0.53 1.1 -1.3 -0.49 0.34 -0.57 0.13 -0.84 1.6 8.2e+03 0.01 0.12 0.75 +
9 -0.53 1.1 -1.3 -0.49 0.34 -0.57 0.13 -0.84 1.6 8.2e+03 0.01 0.062 -1.6 -
10 -0.53 1.1 -1.3 -0.49 0.34 -0.57 0.13 -0.84 1.6 8.2e+03 0.01 0.031 -0.7 -
11 -0.56 1.1 -1.3 -0.52 0.37 -0.6 0.16 -0.81 1.6 8.2e+03 0.0062 0.031 0.14 +
12 -0.53 1.1 -1.4 -0.51 0.36 -0.59 0.13 -0.8 1.6 8.2e+03 0.006 0.031 0.68 +
13 -0.56 1.2 -1.4 -0.48 0.33 -0.62 0.16 -0.76 1.6 8.2e+03 0.0054 0.031 0.61 +
14 -0.53 1.2 -1.4 -0.47 0.33 -0.6 0.15 -0.76 1.6 8.2e+03 0.0036 0.031 0.69 +
15 -0.54 1.2 -1.4 -0.47 0.33 -0.59 0.18 -0.75 1.6 8.2e+03 0.0026 0.031 0.56 +
16 -0.51 1.2 -1.5 -0.46 0.32 -0.6 0.18 -0.73 1.5 8.2e+03 0.0023 0.031 0.52 +
17 -0.51 1.2 -1.5 -0.46 0.32 -0.6 0.18 -0.73 1.5 8.2e+03 0.0023 0.016 0.031 -
18 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.72 1.5 8.2e+03 0.0018 0.016 0.38 +
19 -0.52 1.2 -1.5 -0.45 0.3 -0.6 0.18 -0.7 1.5 8.2e+03 0.0011 0.016 0.5 +
20 -0.52 1.2 -1.5 -0.45 0.3 -0.6 0.18 -0.7 1.5 8.2e+03 0.0011 0.0078 -1.9 -
21 -0.52 1.2 -1.5 -0.45 0.3 -0.6 0.18 -0.7 1.5 8.2e+03 0.0011 0.0039 -0.014 -
22 -0.51 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.7 1.5 8.2e+03 0.00044 0.0039 0.66 +
23 -0.51 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.7 1.5 8.2e+03 0.00044 0.002 -0.64 -
24 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00039 0.002 0.22 +
25 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00041 0.002 0.82 +
26 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00022 0.002 0.85 +
27 -0.52 1.2 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00033 0.002 0.85 +
28 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00036 0.002 0.77 +
29 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.19 -0.69 1.5 8.2e+03 0.00018 0.02 0.92 ++
30 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.02 0.37 +
31 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0098 -3.1 -
32 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0049 -1.3 -
33 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0024 -0.73 -
34 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.67 1.5 8.2e+03 0.0004 0.0012 -0.19 -
35 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 0.00014 0.0012 0.48 +
36 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 9.6e-05 0.0012 0.81 +
37 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 9.6e-05 0.00061 0.0062 -
38 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 0.00013 0.00061 0.49 +
39 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 0.0001 0.00061 0.59 +
40 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 4.5e-05 0.00061 0.84 +
41 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 7.9e-05 0.00061 0.59 +
42 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 4.2e-05 0.00061 0.73 +
43 -0.53 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 4e-05 0.00061 0.59 +
44 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.8e-05 0.00061 0.74 +
45 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.8e-05 0.00031 -0.3 -
46 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 3.1e-05 0.00031 0.43 +
47 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 2.7e-05 0.00031 0.55 +
48 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 2.7e-05 0.00015 -0.087 -
49 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.7e-05 0.00015 0.51 +
50 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 6.8e-06 0.00015 0.74 +
51 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.2e-05 0.00015 0.53 +
52 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 1.3e-05 0.00015 0.27 +
53 -0.52 1.3 -1.5 -0.45 0.31 -0.61 0.18 -0.66 1.5 8.2e+03 3.5e-06 0.00015 0.66 +
Optimization algorithm has converged.
Relative gradient: 3.511548214774502e-06
Cause of termination: Relative gradient = 3.5e-06 <= 6.1e-06
Number of function evaluations: 131
Number of gradient evaluations: 77
Number of hessian evaluations: 0
Algorithm: BFGS with trust region for simple bound constraints
Number of iterations: 54
Proportion of Hessian calculation: 0/38 = 0.0%
Optimization time: 0:00:00.364033
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000001.iter
Cannot read file __b07everything_000001.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train b_time b_cost asc_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 1.5 1.1e+04 0.27 0.5 -0.16 -
1 -0.5 -0.5 -0.5 0.5 2 9.3e+03 0.2 0.5 0.34 +
2 -0.23 -1 -0.84 0 1.5 8.7e+03 0.061 0.5 0.4 +
3 -0.23 -1 -0.84 0 1.5 8.7e+03 0.061 0.25 -0.53 -
4 -0.48 -1.2 -0.63 0.14 1.8 8.6e+03 0.045 0.25 0.17 +
5 -0.37 -1.2 -0.58 -0.11 1.8 8.6e+03 0.047 0.25 0.22 +
6 -0.38 -0.97 -0.71 0.14 1.8 8.6e+03 0.032 0.25 0.25 +
7 -0.38 -0.97 -0.71 0.14 1.8 8.6e+03 0.032 0.12 -1.4 -
8 -0.46 -1.1 -0.7 0.015 1.9 8.5e+03 0.023 0.12 0.39 +
9 -0.46 -1.1 -0.7 0.015 1.9 8.5e+03 0.023 0.062 -0.64 -
10 -0.4 -1 -0.64 -0.047 1.8 8.5e+03 0.018 0.062 0.25 +
11 -0.46 -1 -0.67 0.015 1.9 8.5e+03 0.015 0.062 0.34 +
12 -0.4 -0.97 -0.68 2.9e-06 1.9 8.5e+03 0.0058 0.062 0.55 +
13 -0.4 -0.97 -0.68 2.9e-06 1.9 8.5e+03 0.0058 0.031 -0.63 -
14 -0.41 -1 -0.65 -0.0042 1.9 8.5e+03 0.0028 0.031 0.66 +
15 -0.38 -0.98 -0.65 0.014 1.9 8.5e+03 0.0016 0.031 0.7 +
16 -0.38 -1 -0.64 -0.00068 2 8.5e+03 0.0027 0.031 0.43 +
17 -0.38 -0.98 -0.65 0.011 2 8.5e+03 0.002 0.031 0.62 +
18 -0.38 -0.96 -0.62 -0.00093 2 8.5e+03 0.0019 0.031 0.25 +
19 -0.38 -0.96 -0.62 -0.00093 2 8.5e+03 0.0019 0.016 -0.69 -
20 -0.37 -0.96 -0.63 0.0012 2 8.5e+03 0.0014 0.016 0.58 +
21 -0.37 -0.96 -0.63 0.0012 2 8.5e+03 0.0014 0.0078 -0.76 -
22 -0.38 -0.97 -0.63 -0.001 2 8.5e+03 0.00073 0.0078 0.45 +
23 -0.37 -0.96 -0.63 0.0018 2 8.5e+03 0.00044 0.0078 0.77 +
24 -0.37 -0.96 -0.63 0.0018 2 8.5e+03 0.00044 0.0039 -3.7 -
25 -0.37 -0.96 -0.63 0.0018 2 8.5e+03 0.00044 0.002 -0.79 -
26 -0.37 -0.96 -0.63 -0.00011 2 8.5e+03 0.00044 0.002 0.12 +
27 -0.37 -0.96 -0.63 0.00068 2 8.5e+03 0.00017 0.002 0.81 +
28 -0.37 -0.96 -0.63 -0.00022 2 8.5e+03 0.00031 0.002 0.36 +
29 -0.37 -0.96 -0.63 -0.0013 2 8.5e+03 0.00021 0.002 0.58 +
30 -0.37 -0.96 -0.63 -0.0011 2 8.5e+03 0.00027 0.002 0.69 +
31 -0.37 -0.96 -0.63 -0.0011 2 8.5e+03 7.9e-05 0.002 0.62 +
32 -0.37 -0.96 -0.63 -0.00082 2 8.5e+03 0.00011 0.002 0.44 +
33 -0.37 -0.96 -0.63 -0.00082 2 8.5e+03 0.00011 0.00098 -1 -
34 -0.37 -0.96 -0.63 -0.0011 2 8.5e+03 0.00016 0.00098 0.2 +
35 -0.37 -0.96 -0.63 -0.0014 2 8.5e+03 7.5e-05 0.00098 0.75 +
36 -0.37 -0.96 -0.63 -0.0014 2 8.5e+03 7.5e-05 0.00049 -0.28 -
37 -0.37 -0.96 -0.63 -0.00086 2 8.5e+03 9.3e-05 0.00049 0.3 +
38 -0.37 -0.96 -0.63 -0.0012 2 8.5e+03 2.8e-05 0.0049 0.94 ++
39 -0.37 -0.96 -0.63 -0.0012 2 8.5e+03 2.8e-05 0.0024 -0.83 -
40 -0.37 -0.96 -0.63 -0.0012 2 8.5e+03 2.8e-05 0.0012 -0.24 -
41 -0.37 -0.96 -0.63 -0.001 2.1 8.5e+03 8.2e-05 0.0012 0.36 +
42 -0.37 -0.96 -0.63 -0.001 2.1 8.5e+03 8.2e-05 0.00061 -0.76 -
43 -0.37 -0.96 -0.63 -0.001 2.1 8.5e+03 8.2e-05 0.00031 0.02 -
44 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 3.5e-05 0.00031 0.55 +
45 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 9.2e-06 0.0031 0.95 ++
46 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 9.2e-06 0.00089 -10 -
47 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 9.2e-06 0.00045 -1 -
48 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 9.2e-06 0.00022 -0.37 -
49 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 8.1e-06 0.00022 0.22 +
50 -0.37 -0.96 -0.63 -0.0013 2.1 8.5e+03 5.3e-06 0.00022 0.4 +
Optimization algorithm has converged.
Relative gradient: 5.3366812843242725e-06
Cause of termination: Relative gradient = 5.3e-06 <= 6.1e-06
Number of function evaluations: 118
Number of gradient evaluations: 67
Number of hessian evaluations: 0
Algorithm: BFGS with trust region for simple bound constraints
Number of iterations: 51
Proportion of Hessian calculation: 0/33 = 0.0%
Optimization time: 0:00:00.204834
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000002.iter
Cannot read file __b07everything_000002.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_1st b_cost asc_car_ref asc_car_diff_GA mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 2.1 1e+04 0.31 0.5 -0.057 -
1 -0.5 0.5 -0.5 -0.5 -0.5 0.5 -0.5 2.6 8.9e+03 0.19 0.5 0.28 +
2 0 0.61 -0.71 -0.63 -0.46 0 -0.6 2.4 8.6e+03 0.16 0.5 0.22 +
3 -0.5 0.58 -1 -0.71 -0.46 0.12 -0.62 2.3 8.4e+03 0.057 0.5 0.33 +
4 -0.5 0.58 -1 -0.71 -0.46 0.12 -0.62 2.3 8.4e+03 0.057 0.25 -0.3 -
5 -0.37 0.65 -0.75 -0.56 -0.57 0.15 -0.64 2.2 8.3e+03 0.013 0.25 0.76 +
6 -0.37 0.65 -0.75 -0.56 -0.57 0.15 -0.64 2.2 8.3e+03 0.013 0.12 -0.79 -
7 -0.48 0.66 -0.77 -0.53 -0.48 0.023 -0.63 2 8.3e+03 0.015 0.12 0.35 +
8 -0.48 0.66 -0.77 -0.53 -0.48 0.023 -0.63 2 8.3e+03 0.015 0.062 -0.025 -
9 -0.54 0.73 -0.7 -0.46 -0.54 0.085 -0.69 2 8.2e+03 0.014 0.062 0.48 +
10 -0.55 0.74 -0.74 -0.49 -0.55 0.023 -0.69 1.9 8.2e+03 0.005 0.062 0.8 +
11 -0.62 0.77 -0.76 -0.5 -0.58 0.057 -0.67 1.9 8.2e+03 0.01 0.062 0.19 +
12 -0.6 0.81 -0.74 -0.49 -0.59 0.034 -0.67 1.8 8.2e+03 0.0046 0.062 0.78 +
13 -0.6 0.81 -0.74 -0.49 -0.59 0.034 -0.67 1.8 8.2e+03 0.0046 0.031 -0.32 -
14 -0.6 0.81 -0.74 -0.49 -0.59 0.034 -0.67 1.8 8.2e+03 0.0046 0.016 0.0026 -
15 -0.61 0.82 -0.75 -0.51 -0.58 0.018 -0.65 1.8 8.2e+03 0.0037 0.016 0.52 +
16 -0.63 0.84 -0.75 -0.5 -0.59 0.034 -0.64 1.8 8.2e+03 0.0026 0.016 0.72 +
17 -0.63 0.85 -0.76 -0.51 -0.6 0.018 -0.64 1.8 8.2e+03 0.0031 0.016 0.82 +
18 -0.64 0.87 -0.75 -0.5 -0.61 0.034 -0.64 1.8 8.2e+03 0.0033 0.016 0.82 +
19 -0.64 0.88 -0.76 -0.51 -0.61 0.018 -0.64 1.8 8.2e+03 0.0023 0.16 0.93 ++
20 -0.7 0.97 -0.76 -0.52 -0.63 0.04 -0.64 1.6 8.2e+03 0.0046 0.16 0.61 +
21 -0.7 0.97 -0.76 -0.52 -0.63 0.04 -0.64 1.6 8.2e+03 0.0046 0.078 -0.23 -
22 -0.7 0.97 -0.76 -0.52 -0.63 0.04 -0.64 1.6 8.2e+03 0.0046 0.039 0.091 -
23 -0.73 0.98 -0.8 -0.54 -0.64 0.012 -0.65 1.6 8.2e+03 0.0049 0.039 0.15 +
24 -0.73 1 -0.78 -0.53 -0.68 0.021 -0.67 1.6 8.2e+03 0.0023 0.039 0.62 +
25 -0.75 1 -0.78 -0.54 -0.64 0.022 -0.67 1.5 8.2e+03 0.002 0.039 0.38 +
26 -0.75 1 -0.78 -0.54 -0.64 0.022 -0.67 1.5 8.2e+03 0.002 0.02 -1.3 -
27 -0.75 1 -0.78 -0.54 -0.64 0.022 -0.67 1.5 8.2e+03 0.002 0.0098 -1.4 -
28 -0.76 1 -0.79 -0.54 -0.65 0.03 -0.68 1.6 8.2e+03 0.002 0.0098 0.22 +
29 -0.75 1 -0.79 -0.54 -0.66 0.02 -0.68 1.5 8.2e+03 0.0016 0.0098 0.66 +
30 -0.76 1 -0.79 -0.54 -0.66 0.022 -0.69 1.5 8.2e+03 0.00042 0.0098 0.84 +
31 -0.76 1.1 -0.79 -0.54 -0.66 0.019 -0.69 1.5 8.2e+03 0.001 0.0098 0.8 +
32 -0.77 1.1 -0.79 -0.54 -0.67 0.021 -0.69 1.5 8.2e+03 0.00046 0.0098 0.84 +
33 -0.77 1.1 -0.79 -0.54 -0.67 0.019 -0.7 1.5 8.2e+03 0.00067 0.0098 0.85 +
34 -0.78 1.1 -0.8 -0.54 -0.67 0.018 -0.71 1.5 8.2e+03 0.00058 0.0098 0.68 +
35 -0.78 1.1 -0.8 -0.54 -0.67 0.018 -0.71 1.5 8.2e+03 0.00058 0.0049 -1.3 -
36 -0.79 1.1 -0.79 -0.54 -0.67 0.023 -0.71 1.5 8.2e+03 0.0011 0.0049 0.12 +
37 -0.78 1.1 -0.8 -0.55 -0.67 0.018 -0.71 1.5 8.2e+03 0.00075 0.0049 0.47 +
38 -0.79 1.1 -0.79 -0.54 -0.67 0.019 -0.72 1.5 8.2e+03 0.00041 0.0049 0.79 +
39 -0.79 1.1 -0.79 -0.54 -0.67 0.019 -0.72 1.5 8.2e+03 0.00041 0.0024 -0.7 -
40 -0.79 1.1 -0.8 -0.55 -0.67 0.02 -0.72 1.5 8.2e+03 0.00034 0.0024 0.17 +
41 -0.79 1.1 -0.79 -0.54 -0.67 0.02 -0.72 1.5 8.2e+03 0.00016 0.024 0.93 ++
42 -0.79 1.1 -0.79 -0.54 -0.67 0.02 -0.72 1.5 8.2e+03 0.00016 0.012 -0.14 -
43 -0.8 1.1 -0.79 -0.55 -0.68 0.019 -0.73 1.5 8.2e+03 0.00028 0.012 0.77 +
44 -0.8 1.1 -0.79 -0.55 -0.68 0.019 -0.73 1.5 8.2e+03 0.00028 0.0061 -0.68 -
45 -0.8 1.1 -0.79 -0.55 -0.68 0.019 -0.73 1.5 8.2e+03 0.00028 0.0031 -0.41 -
46 -0.8 1.1 -0.79 -0.55 -0.68 0.019 -0.73 1.5 8.2e+03 0.00028 0.0015 -0.13 -
47 -0.8 1.1 -0.8 -0.55 -0.67 0.018 -0.74 1.5 8.2e+03 0.00033 0.0015 0.42 +
48 -0.8 1.1 -0.79 -0.55 -0.67 0.019 -0.74 1.5 8.2e+03 5.4e-05 0.0015 0.86 +
49 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 0.0001 0.0015 0.24 +
50 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 5.1e-05 0.0015 0.72 +
51 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 5.1e-05 0.00076 0.031 -
52 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 3.4e-05 0.00076 0.62 +
53 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 2.7e-05 0.00076 0.89 +
54 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 2.5e-05 0.00076 0.76 +
55 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 1.7e-05 0.00076 0.83 +
56 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 9.8e-06 0.00076 0.84 +
57 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 1.1e-05 0.00076 0.78 +
58 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 1.1e-05 0.00038 -4.8 -
59 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 1.1e-05 0.00019 -1.2 -
60 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 6.3e-06 0.00019 0.29 +
61 -0.8 1.1 -0.8 -0.55 -0.67 0.02 -0.74 1.5 8.2e+03 4.6e-06 0.00019 0.92 +
Optimization algorithm has converged.
Relative gradient: 4.646385906305425e-06
Cause of termination: Relative gradient = 4.6e-06 <= 6.1e-06
Number of function evaluations: 149
Number of gradient evaluations: 87
Number of hessian evaluations: 0
Algorithm: BFGS with trust region for simple bound constraints
Number of iterations: 62
Proportion of Hessian calculation: 0/43 = 0.0%
Optimization time: 0:00:00.267684
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000003.iter
Cannot read file __b07everything_000003.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time square_tt_coef cube_tt_coef b_cost_train b_cost_swissmet asc_car_ref asc_car_diff_GA b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1.5 1.1e+04 0.28 0.5 -0.28 -
1 0 0 0 0 0 0 0 0 0 0 1.5 1.1e+04 0.28 0.25 0.095 -
2 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.25 0.46 +
3 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.12 0.46 -
4 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.062 0.46 -
5 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.031 0.46 -
6 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.016 0.46 -
7 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.0078 -2.8 -
8 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.0039 -2.4 -
9 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.002 -2 -
10 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.00098 -1.4 -
11 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.00049 -0.82 -
12 -0.25 0.25 -0.25 0 0 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.4 0.00024 -0.11 -
13 -0.25 0.25 -0.25 0.00024 -0.00024 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 1.3 0.00024 0.66 +
14 -0.25 0.25 -0.25 0.00041 -0.00018 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 1.4 0.00024 0.66 +
15 -0.25 0.25 -0.25 0.00058 -0.00021 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 0.12 0.0024 1 ++
16 -0.25 0.25 -0.25 0.0023 -0.0001 -0.25 0.25 0.25 -0.25 0.25 1.7 9.2e+03 3.1 0.024 1 ++
17 -0.25 0.25 -0.28 0.019 -0.00036 -0.25 0.26 0.23 -0.26 0.22 1.7 9.1e+03 2.3 0.24 0.93 ++
18 -0.25 0.25 -0.28 0.019 -0.00036 -0.25 0.26 0.23 -0.26 0.22 1.7 9.1e+03 2.3 0.12 0.0075 -
19 -0.24 0.27 -0.4 0.1 0.00034 -0.26 0.28 0.13 -0.29 0.11 1.7 8.9e+03 6.9 0.12 0.45 +
20 -0.24 0.27 -0.4 0.1 0.00034 -0.26 0.28 0.13 -0.29 0.11 1.7 8.9e+03 6.9 0.061 -0.19 -
21 -0.24 0.27 -0.4 0.1 0.00034 -0.26 0.28 0.13 -0.29 0.11 1.7 8.9e+03 6.9 0.031 -0.016 -
22 -0.24 0.27 -0.4 0.1 0.00034 -0.26 0.28 0.13 -0.29 0.11 1.7 8.9e+03 6.9 0.015 -0.00024 -
23 -0.24 0.27 -0.4 0.1 0.00034 -0.26 0.28 0.13 -0.29 0.11 1.7 8.9e+03 6.9 0.0076 -0.04 -
24 -0.24 0.27 -0.4 0.1 0.00034 -0.26 0.28 0.13 -0.29 0.11 1.7 8.9e+03 6.9 0.0038 -0.084 -
25 -0.24 0.27 -0.4 0.1 0.00034 -0.26 0.28 0.13 -0.29 0.11 1.7 8.9e+03 6.9 0.0019 -0.12 -
26 -0.25 0.28 -0.4 0.1 -0.0016 -0.26 0.28 0.12 -0.29 0.11 1.8 8.9e+03 9.7 0.0019 0.15 +
27 -0.25 0.28 -0.4 0.1 -0.00046 -0.26 0.27 0.12 -0.29 0.11 1.8 8.8e+03 6.8 0.0019 0.87 +
28 -0.25 0.28 -0.4 0.1 -0.00092 -0.26 0.27 0.12 -0.29 0.11 1.8 8.8e+03 5.1 0.0019 0.22 +
29 -0.25 0.28 -0.4 0.11 -0.00073 -0.26 0.27 0.12 -0.29 0.11 1.8 8.8e+03 3.3 0.019 1.6 ++
30 -0.25 0.28 -0.42 0.11 -0.00037 -0.27 0.25 0.12 -0.3 0.11 1.8 8.8e+03 7.2 0.019 0.15 +
31 -0.25 0.29 -0.43 0.12 -0.00069 -0.27 0.23 0.12 -0.3 0.11 1.8 8.8e+03 4.3 0.19 1.3 ++
32 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.19 0.66 +
33 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.095 -0.089 -
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35 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.024 -0.17 -
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37 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.006 -0.5 -
38 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.003 -0.62 -
39 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.0015 -0.69 -
40 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.00075 -0.74 -
41 -0.25 0.33 -0.57 0.18 -0.0014 -0.3 0.041 0.084 -0.36 0.068 1.8 8.6e+03 6.6 0.00037 -0.29 -
42 -0.25 0.33 -0.57 0.18 -0.001 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 3.4 0.0037 1.2 ++
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44 -0.25 0.33 -0.57 0.18 -0.001 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 3.4 0.00093 -4.1 -
45 -0.25 0.33 -0.57 0.18 -0.001 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 3.4 0.00047 -4.6 -
46 -0.25 0.33 -0.57 0.18 -0.001 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 3.4 0.00023 -4.9 -
47 -0.25 0.33 -0.57 0.18 -0.001 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 3.4 0.00012 -3 -
48 -0.25 0.33 -0.57 0.18 -0.001 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 3.4 5.8e-05 -1.6 -
49 -0.25 0.33 -0.57 0.18 -0.001 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 3.4 2.9e-05 -0.23 -
50 -0.25 0.33 -0.57 0.18 -0.00097 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 0.6 2.9e-05 0.52 +
51 -0.25 0.33 -0.57 0.18 -0.00098 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 0.17 2.9e-05 0.89 +
52 -0.25 0.33 -0.57 0.18 -0.00098 -0.3 0.041 0.083 -0.36 0.067 1.8 8.6e+03 0.052 0.00029 1 ++
53 -0.25 0.33 -0.57 0.18 -0.00098 -0.3 0.04 0.083 -0.36 0.067 1.8 8.6e+03 0.22 0.0029 1 ++
54 -0.25 0.33 -0.57 0.18 -0.00097 -0.3 0.038 0.083 -0.36 0.066 1.8 8.6e+03 0.23 0.029 0.99 ++
55 -0.24 0.34 -0.57 0.17 -0.00094 -0.31 0.0084 0.075 -0.37 0.06 1.8 8.5e+03 1.4 0.29 0.99 ++
56 -0.24 0.45 -0.66 0.1 -0.00067 -0.39 -0.28 -0.028 -0.48 -0.033 1.9 8.4e+03 3 0.29 0.88 +
57 -0.24 0.45 -0.66 0.1 -0.00067 -0.39 -0.28 -0.028 -0.48 -0.033 1.9 8.4e+03 3 0.15 -0.92 -
58 -0.24 0.45 -0.66 0.1 -0.00067 -0.39 -0.28 -0.028 -0.48 -0.033 1.9 8.4e+03 3 0.073 -0.74 -
59 -0.28 0.45 -0.73 0.16 -0.00095 -0.44 -0.24 -0.053 -0.49 -0.064 1.9 8.4e+03 7.8 0.073 0.32 +
60 -0.29 0.47 -0.72 0.087 -0.0006 -0.46 -0.28 -0.053 -0.5 -0.061 1.9 8.3e+03 0.66 0.073 0.89 +
61 -0.32 0.5 -0.79 0.065 -0.00055 -0.51 -0.29 -0.11 -0.53 -0.12 1.9 8.3e+03 8.1 0.073 0.86 +
62 -0.35 0.52 -0.82 -0.0075 -0.00025 -0.54 -0.36 -0.1 -0.54 -0.11 2 8.3e+03 9.2 0.073 0.34 +
63 -0.38 0.54 -0.89 0.029 -0.00035 -0.57 -0.38 -0.13 -0.55 -0.15 2 8.3e+03 3.4 0.073 0.77 +
64 -0.36 0.57 -0.94 -0.043 -8.3e-05 -0.56 -0.4 -0.19 -0.57 -0.21 2 8.2e+03 8 0.073 0.18 +
65 -0.4 0.58 -1 -0.028 -0.00015 -0.6 -0.44 -0.17 -0.57 -0.19 2 8.2e+03 10 0.073 0.84 +
66 -0.39 0.61 -1.1 -0.059 2.1e-05 -0.6 -0.46 -0.21 -0.57 -0.23 2 8.2e+03 18 0.073 0.72 +
67 -0.42 0.62 -1.2 -0.049 -5e-05 -0.63 -0.48 -0.2 -0.57 -0.22 2 8.2e+03 7.4 0.073 0.84 +
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69 -0.42 0.62 -1.2 -0.049 -5e-05 -0.63 -0.48 -0.2 -0.57 -0.22 2 8.2e+03 7.4 0.018 -0.64 -
70 -0.42 0.63 -1.2 -0.068 2.7e-05 -0.62 -0.49 -0.2 -0.57 -0.22 2 8.2e+03 7.2 0.018 0.57 +
71 -0.41 0.63 -1.2 -0.06 2.4e-05 -0.62 -0.49 -0.2 -0.57 -0.23 2 8.2e+03 19 0.018 0.13 +
72 -0.41 0.64 -1.2 -0.076 7e-05 -0.62 -0.5 -0.21 -0.57 -0.23 2 8.2e+03 1.7 0.18 0.92 ++
73 -0.43 0.69 -1.4 -0.076 5.1e-05 -0.66 -0.56 -0.19 -0.56 -0.23 2 8.2e+03 17 0.18 0.46 +
74 -0.43 0.69 -1.4 -0.076 5.1e-05 -0.66 -0.56 -0.19 -0.56 -0.23 2 8.2e+03 17 0.091 -2.4 -
75 -0.39 0.72 -1.5 -0.09 0.00011 -0.64 -0.54 -0.25 -0.56 -0.28 2 8.2e+03 22 0.091 0.15 +
76 -0.39 0.72 -1.5 -0.09 0.00011 -0.64 -0.54 -0.25 -0.56 -0.28 2 8.2e+03 22 0.045 -6 -
77 -0.39 0.72 -1.5 -0.09 0.00011 -0.64 -0.54 -0.25 -0.56 -0.28 2 8.2e+03 22 0.023 -2 -
78 -0.39 0.72 -1.5 -0.09 0.00011 -0.64 -0.54 -0.25 -0.56 -0.28 2 8.2e+03 22 0.011 0.042 -
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83 -0.4 0.73 -1.5 -0.089 0.00014 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 15 0.0014 -1.4 -
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85 -0.4 0.73 -1.5 -0.089 0.00014 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 15 0.00036 -1.7 -
86 -0.4 0.73 -1.5 -0.089 0.00014 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 15 0.00018 -1.8 -
87 -0.4 0.73 -1.5 -0.089 0.00014 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 15 8.9e-05 -1.8 -
88 -0.4 0.73 -1.5 -0.089 0.00014 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 15 4.4e-05 -1.9 -
89 -0.4 0.73 -1.5 -0.089 0.00014 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 15 2.2e-05 -1.9 -
90 -0.4 0.73 -1.5 -0.089 0.00014 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 15 1.1e-05 -0.37 -
91 -0.4 0.73 -1.5 -0.089 0.00012 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 4.9 1.1e-05 0.41 +
92 -0.4 0.73 -1.5 -0.089 0.00013 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 0.13 0.00011 0.99 ++
93 -0.4 0.73 -1.5 -0.089 0.00013 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 0.021 0.0011 1 ++
94 -0.4 0.73 -1.5 -0.091 0.00013 -0.64 -0.56 -0.23 -0.55 -0.26 2 8.1e+03 0.15 0.011 1 ++
95 -0.4 0.73 -1.5 -0.094 0.00015 -0.65 -0.57 -0.22 -0.55 -0.25 2 8.1e+03 1 0.11 0.94 ++
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97 -0.34 0.82 -1.7 -0.1 0.00018 -0.65 -0.58 -0.21 -0.5 -0.24 2 8.1e+03 1.1 0.11 0.51 +
98 -0.36 0.86 -1.8 -0.11 0.00021 -0.7 -0.57 -0.18 -0.47 -0.21 1.9 8.1e+03 1.6 0.11 0.23 +
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100 -0.32 0.87 -1.8 -0.097 0.00016 -0.67 -0.63 -0.19 -0.47 -0.21 1.9 8.1e+03 2.7 0.056 0.26 +
101 -0.32 0.87 -1.8 -0.097 0.00016 -0.67 -0.63 -0.19 -0.47 -0.21 1.9 8.1e+03 2.7 0.028 -0.92 -
102 -0.33 0.87 -1.8 -0.1 0.00019 -0.68 -0.6 -0.2 -0.46 -0.22 1.9 8.1e+03 1.4 0.028 0.64 +
103 -0.33 0.87 -1.8 -0.1 0.00019 -0.68 -0.6 -0.2 -0.46 -0.22 1.9 8.1e+03 1.4 0.014 -2.4 -
104 -0.33 0.87 -1.8 -0.1 0.00019 -0.68 -0.6 -0.2 -0.46 -0.22 1.9 8.1e+03 1.4 0.0069 -0.11 -
105 -0.34 0.87 -1.8 -0.1 0.00019 -0.69 -0.61 -0.19 -0.46 -0.21 1.9 8.1e+03 0.28 0.0069 0.57 +
106 -0.34 0.87 -1.8 -0.1 0.00019 -0.69 -0.61 -0.2 -0.46 -0.22 1.9 8.1e+03 0.089 0.069 0.93 ++
107 -0.33 0.91 -1.9 -0.1 0.00018 -0.71 -0.64 -0.2 -0.45 -0.22 1.8 8.1e+03 2.8 0.069 0.48 +
108 -0.33 0.91 -1.9 -0.1 0.00018 -0.71 -0.64 -0.2 -0.45 -0.22 1.8 8.1e+03 2.8 0.035 -3 -
109 -0.33 0.91 -1.9 -0.1 0.00018 -0.71 -0.64 -0.2 -0.45 -0.22 1.8 8.1e+03 2.8 0.017 -0.3 -
110 -0.34 0.91 -1.9 -0.11 0.0002 -0.72 -0.63 -0.2 -0.45 -0.22 1.8 8.1e+03 0.46 0.017 0.75 +
111 -0.34 0.91 -1.9 -0.11 0.0002 -0.72 -0.63 -0.2 -0.45 -0.22 1.8 8.1e+03 0.46 0.0087 -2.5 -
112 -0.34 0.91 -1.9 -0.11 0.0002 -0.72 -0.63 -0.2 -0.45 -0.22 1.8 8.1e+03 0.46 0.0043 -0.68 -
113 -0.34 0.91 -1.9 -0.11 0.0002 -0.72 -0.63 -0.2 -0.45 -0.22 1.8 8.1e+03 0.46 0.0022 -0.019 -
114 -0.34 0.91 -1.9 -0.1 0.00019 -0.72 -0.63 -0.2 -0.45 -0.23 1.8 8.1e+03 1.2 0.0022 0.24 +
115 -0.34 0.91 -1.9 -0.1 0.00019 -0.72 -0.63 -0.2 -0.45 -0.23 1.8 8.1e+03 0.087 0.022 0.98 ++
116 -0.34 0.92 -1.9 -0.11 0.0002 -0.73 -0.64 -0.2 -0.45 -0.22 1.8 8.1e+03 0.85 0.022 0.61 +
117 -0.35 0.94 -1.9 -0.1 0.00019 -0.74 -0.64 -0.2 -0.45 -0.23 1.7 8.1e+03 0.93 0.022 0.65 +
118 -0.35 0.94 -1.9 -0.1 0.00019 -0.74 -0.64 -0.2 -0.45 -0.23 1.7 8.1e+03 0.93 0.011 -6 -
119 -0.35 0.94 -1.9 -0.1 0.00019 -0.74 -0.64 -0.2 -0.45 -0.23 1.7 8.1e+03 0.93 0.0054 -1.8 -
120 -0.35 0.94 -1.9 -0.1 0.00019 -0.74 -0.64 -0.2 -0.45 -0.23 1.7 8.1e+03 0.93 0.0027 -0.19 -
121 -0.35 0.94 -1.9 -0.11 0.0002 -0.74 -0.64 -0.2 -0.45 -0.23 1.7 8.1e+03 0.15 0.0027 0.34 +
122 -0.35 0.94 -1.9 -0.1 0.00019 -0.74 -0.64 -0.2 -0.45 -0.23 1.7 8.1e+03 0.1 0.0027 0.88 +
123 -0.35 0.94 -1.9 -0.1 0.00019 -0.74 -0.64 -0.2 -0.45 -0.23 1.7 8.1e+03 0.067 0.027 0.96 ++
124 -0.35 0.96 -1.9 -0.1 0.0002 -0.76 -0.66 -0.2 -0.45 -0.23 1.7 8.1e+03 0.33 0.027 0.11 +
125 -0.36 0.97 -2 -0.11 0.0002 -0.77 -0.65 -0.2 -0.46 -0.24 1.7 8.1e+03 0.78 0.027 0.67 +
126 -0.37 0.98 -2 -0.11 0.0002 -0.77 -0.66 -0.2 -0.47 -0.25 1.7 8.1e+03 0.47 0.027 0.43 +
127 -0.37 0.98 -2 -0.11 0.0002 -0.77 -0.66 -0.2 -0.47 -0.25 1.7 8.1e+03 0.47 0.014 -0.83 -
128 -0.36 0.99 -2 -0.1 0.00019 -0.78 -0.66 -0.2 -0.48 -0.24 1.7 8.1e+03 0.17 0.014 0.22 +
129 -0.36 0.99 -2 -0.1 0.00019 -0.78 -0.66 -0.2 -0.48 -0.24 1.7 8.1e+03 0.17 0.0068 -0.86 -
130 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.48 -0.25 1.6 8.1e+03 0.2 0.0068 0.65 +
131 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.48 -0.25 1.6 8.1e+03 0.2 0.0034 -1 -
132 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.48 -0.25 1.6 8.1e+03 0.2 0.0017 0.066 -
133 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.48 -0.25 1.6 8.1e+03 0.019 0.0017 0.65 +
134 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.67 -0.2 -0.48 -0.25 1.6 8.1e+03 0.019 0.00085 -0.29 -
135 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.48 -0.25 1.6 8.1e+03 0.11 0.00085 0.39 +
136 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.48 -0.25 1.6 8.1e+03 0.019 0.0085 0.95 ++
137 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.48 -0.25 1.6 8.1e+03 0.019 0.0042 -0.18 -
138 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.056 0.0042 0.32 +
139 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.056 0.0021 0.0038 -
140 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.057 0.0021 0.21 +
141 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.057 0.0011 -0.029 -
142 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.035 0.0011 0.63 +
143 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.062 0.0011 0.17 +
144 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.03 0.0011 0.41 +
145 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.03 0.00053 -0.75 -
146 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.026 0.00053 0.59 +
147 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.026 0.00026 -0.24 -
148 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0089 0.00026 0.35 +
149 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0071 0.00026 0.79 +
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151 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0071 6.6e-05 -0.97 -
152 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0045 6.6e-05 0.17 +
153 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0031 6.6e-05 0.57 +
154 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0031 3.3e-05 -0.97 -
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156 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00011 3.3e-05 0.6 +
157 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00011 1.7e-05 -1.7 -
158 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0007 1.7e-05 0.2 +
159 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 6.7e-05 1.7e-05 0.72 +
160 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 6.7e-05 8.3e-06 -0.18 -
161 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 6.7e-05 4.1e-06 0.056 -
162 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 1.6e-05 4.1e-06 0.65 +
163 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.00012 4.1e-06 0.41 +
164 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 3e-05 4.1e-06 0.55 +
165 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 0.0001 4.1e-06 0.51 +
166 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 7.4e-05 4.1e-06 0.43 +
167 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 7.4e-05 2.1e-06 -4.4 -
168 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 7.4e-05 1e-06 -0.74 -
169 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 1.1e-05 1e-06 0.89 +
170 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 1.1e-05 5.2e-07 -3.1 -
171 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 1.1e-05 2.6e-07 -0.3 -
172 -0.37 0.99 -2 -0.11 0.0002 -0.78 -0.66 -0.2 -0.49 -0.25 1.6 8.1e+03 3e-06 2.6e-07 0.66 -
Optimization algorithm has converged.
Relative gradient: 2.980235054944702e-06
Cause of termination: Relative gradient = 3e-06 <= 6.1e-06
Number of function evaluations: 350
Number of gradient evaluations: 177
Number of hessian evaluations: 0
Algorithm: BFGS with trust region for simple bound constraints
Number of iterations: 173
Proportion of Hessian calculation: 0/88 = 0.0%
Optimization time: 0:00:00.425302
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000004.iter
Cannot read file __b07everything_000004.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is rather complex, we cancel the calculation of second derivatives. If you want to control the parameters, change the algorithm from "automatic" to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: BFGS with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train_re b_time_train_di b_cost_train b_time_swissmet b_time_swissmet b_cost_swissmet asc_car_ref asc_car_diff_GA b_time_car_ref b_time_car_diff b_cost_car mu_existing Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.6 1.1e+04 0.52 0.5 -0.65 -
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1.6 1.1e+04 0.52 0.25 -0.3 -
2 0 0 0 0 0 0 0 0 0 0 0 0 0 1.6 1.1e+04 0.52 0.12 0.082 -
3 -0.12 0.12 -0.12 -0.12 -0.12 0.12 0.12 0.12 0.12 -0.12 0.12 -0.12 0.12 1.8 9.5e+03 0.19 0.12 0.45 +
4 -0.22 0.25 -0.25 -0.18 -0.25 0.25 0.25 0.25 0 -0.25 0 -0.25 0 1.9 9.2e+03 0.12 0.12 0.32 +
5 -0.19 0.28 -0.22 -0.18 -0.25 0.12 0.24 0.12 0.032 -0.28 0.024 -0.24 0.021 1.9 9e+03 0.079 1.2 0.98 ++
6 -0.19 0.28 -0.22 -0.18 -0.25 0.12 0.24 0.12 0.032 -0.28 0.024 -0.24 0.021 1.9 9e+03 0.079 0.62 -6.1 -
7 -0.19 0.28 -0.22 -0.18 -0.25 0.12 0.24 0.12 0.032 -0.28 0.024 -0.24 0.021 1.9 9e+03 0.079 0.31 -2.7 -
8 -0.19 0.28 -0.22 -0.18 -0.25 0.12 0.24 0.12 0.032 -0.28 0.024 -0.24 0.021 1.9 9e+03 0.079 0.16 -1.3 -
9 -0.031 0.44 -0.38 -0.34 -0.4 -0.031 0.34 -0.031 -0.12 -0.43 -0.13 -0.4 -0.14 2.1 8.7e+03 0.081 0.16 0.6 +
10 -0.11 0.46 -0.54 -0.36 -0.47 -0.14 0.33 -0.17 -0.062 -0.46 -0.13 -0.37 -0.12 2.1 8.7e+03 0.14 0.16 0.23 +
11 -0.12 0.47 -0.55 -0.36 -0.46 -0.2 0.31 -0.22 -0.11 -0.47 -0.29 -0.35 -0.21 2.1 8.5e+03 0.035 1.6 0.93 ++
12 -0.12 0.47 -0.55 -0.36 -0.46 -0.2 0.31 -0.22 -0.11 -0.47 -0.29 -0.35 -0.21 2.1 8.5e+03 0.035 0.78 -1.7 -
13 -0.12 0.47 -0.55 -0.36 -0.46 -0.2 0.31 -0.22 -0.11 -0.47 -0.29 -0.35 -0.21 2.1 8.5e+03 0.035 0.39 -0.44 -
14 -0.19 0.52 -0.69 -0.36 -0.49 -0.59 0.25 -0.5 -0.065 -0.51 -0.49 -0.25 -0.31 2.2 8.4e+03 0.1 0.39 0.2 +
15 -0.19 0.52 -0.69 -0.36 -0.49 -0.59 0.25 -0.5 -0.065 -0.51 -0.49 -0.25 -0.31 2.2 8.4e+03 0.1 0.2 -0.13 -
16 -0.29 0.54 -0.86 -0.36 -0.56 -0.62 0.25 -0.42 -0.13 -0.52 -0.68 -0.23 -0.42 2.2 8.3e+03 0.053 0.2 0.45 +
17 -0.29 0.54 -0.86 -0.36 -0.56 -0.62 0.25 -0.42 -0.13 -0.52 -0.68 -0.23 -0.42 2.2 8.3e+03 0.053 0.098 -0.31 -
18 -0.26 0.57 -0.83 -0.34 -0.55 -0.72 0.26 -0.47 -0.13 -0.52 -0.67 -0.22 -0.41 2.2 8.2e+03 0.023 0.098 0.88 +
19 -0.26 0.57 -0.83 -0.34 -0.55 -0.72 0.26 -0.47 -0.13 -0.52 -0.67 -0.22 -0.41 2.2 8.2e+03 0.023 0.049 -5.8 -
20 -0.26 0.57 -0.83 -0.34 -0.55 -0.72 0.26 -0.47 -0.13 -0.52 -0.67 -0.22 -0.41 2.2 8.2e+03 0.023 0.024 -2.4 -
21 -0.26 0.57 -0.83 -0.34 -0.55 -0.72 0.26 -0.47 -0.13 -0.52 -0.67 -0.22 -0.41 2.2 8.2e+03 0.023 0.012 -0.53 -
22 -0.27 0.58 -0.85 -0.33 -0.56 -0.73 0.27 -0.46 -0.12 -0.51 -0.65 -0.21 -0.4 2.2 8.2e+03 0.02 0.012 0.28 +
23 -0.26 0.59 -0.84 -0.33 -0.55 -0.74 0.28 -0.45 -0.13 -0.51 -0.67 -0.21 -0.41 2.2 8.2e+03 0.018 0.012 0.87 +
24 -0.27 0.59 -0.85 -0.32 -0.56 -0.75 0.29 -0.45 -0.13 -0.51 -0.66 -0.21 -0.41 2.2 8.2e+03 0.013 0.12 0.93 ++
25 -0.29 0.63 -0.94 -0.29 -0.57 -0.87 0.35 -0.44 -0.2 -0.51 -0.7 -0.2 -0.45 2.2 8.2e+03 0.019 0.12 0.81 +
26 -0.28 0.66 -0.97 -0.26 -0.55 -0.99 0.4 -0.49 -0.23 -0.51 -0.7 -0.18 -0.47 2.1 8.2e+03 0.021 0.12 0.4 +
27 -0.35 0.7 -1.1 -0.23 -0.57 -1.1 0.5 -0.5 -0.3 -0.49 -0.77 -0.12 -0.52 2.1 8.2e+03 0.013 0.12 0.77 +
28 -0.37 0.77 -1.1 -0.17 -0.59 -1.2 0.63 -0.53 -0.34 -0.47 -0.79 -0.025 -0.54 2 8.1e+03 0.01 0.12 0.81 +
29 -0.42 0.83 -1.2 -0.1 -0.63 -1.3 0.75 -0.53 -0.37 -0.45 -0.83 0.048 -0.56 1.9 8.1e+03 0.01 0.12 0.8 +
30 -0.46 0.86 -1.2 -0.038 -0.62 -1.3 0.87 -0.59 -0.39 -0.43 -0.85 0.12 -0.57 1.9 8.1e+03 0.0091 0.12 0.75 +
31 -0.49 0.93 -1.2 0.035 -0.67 -1.4 0.99 -0.56 -0.4 -0.42 -0.88 0.22 -0.58 1.8 8.1e+03 0.0035 0.12 0.82 +
32 -0.53 0.94 -1.2 0.093 -0.66 -1.4 1.1 -0.62 -0.43 -0.42 -0.93 0.31 -0.59 1.8 8.1e+03 0.0034 0.12 0.79 +
33 -0.53 0.94 -1.2 0.093 -0.66 -1.4 1.1 -0.62 -0.43 -0.42 -0.93 0.31 -0.59 1.8 8.1e+03 0.0034 0.061 -1.9 -
34 -0.52 0.98 -1.2 0.14 -0.7 -1.5 1.2 -0.58 -0.43 -0.42 -0.92 0.34 -0.58 1.7 8.1e+03 0.0093 0.061 0.35 +
35 -0.52 0.98 -1.2 0.14 -0.7 -1.5 1.2 -0.58 -0.43 -0.42 -0.92 0.34 -0.58 1.7 8.1e+03 0.0093 0.031 -3.5 -
36 -0.52 0.98 -1.2 0.14 -0.7 -1.5 1.2 -0.58 -0.43 -0.42 -0.92 0.34 -0.58 1.7 8.1e+03 0.0093 0.015 -0.67 -
37 -0.53 0.98 -1.2 0.14 -0.7 -1.4 1.2 -0.57 -0.44 -0.42 -0.93 0.34 -0.59 1.7 8.1e+03 0.011 0.015 0.15 +
38 -0.53 0.98 -1.2 0.14 -0.69 -1.4 1.2 -0.59 -0.44 -0.42 -0.93 0.35 -0.59 1.7 8.1e+03 0.0025 0.15 0.96 ++
39 -0.53 0.98 -1.2 0.14 -0.69 -1.4 1.2 -0.59 -0.44 -0.42 -0.93 0.35 -0.59 1.7 8.1e+03 0.0025 0.076 -1.8 -
40 -0.53 0.98 -1.2 0.14 -0.69 -1.4 1.2 -0.59 -0.44 -0.42 -0.93 0.35 -0.59 1.7 8.1e+03 0.0025 0.038 -0.37 -
41 -0.55 0.96 -1.3 0.15 -0.67 -1.4 1.2 -0.61 -0.45 -0.42 -0.95 0.37 -0.6 1.7 8.1e+03 0.011 0.038 0.2 +
42 -0.55 0.96 -1.3 0.15 -0.67 -1.4 1.2 -0.61 -0.45 -0.42 -0.95 0.37 -0.6 1.7 8.1e+03 0.011 0.019 -0.9 -
43 -0.54 0.97 -1.3 0.16 -0.67 -1.5 1.2 -0.62 -0.45 -0.42 -0.94 0.38 -0.6 1.7 8.1e+03 0.0087 0.019 0.43 +
44 -0.54 0.97 -1.3 0.16 -0.67 -1.5 1.2 -0.62 -0.45 -0.42 -0.94 0.38 -0.6 1.7 8.1e+03 0.0087 0.0095 -0.37 -
45 -0.55 0.97 -1.3 0.17 -0.68 -1.5 1.2 -0.61 -0.45 -0.42 -0.94 0.39 -0.6 1.7 8.1e+03 0.005 0.0095 0.57 +
46 -0.55 0.97 -1.3 0.18 -0.68 -1.5 1.2 -0.62 -0.45 -0.42 -0.94 0.39 -0.6 1.7 8.1e+03 0.0021 0.095 0.95 ++
47 -0.57 0.99 -1.3 0.23 -0.69 -1.5 1.3 -0.61 -0.47 -0.41 -0.96 0.46 -0.6 1.7 8.1e+03 0.0055 0.95 0.91 ++
48 -0.57 0.99 -1.3 0.23 -0.69 -1.5 1.3 -0.61 -0.47 -0.41 -0.96 0.46 -0.6 1.7 8.1e+03 0.0055 0.48 -5.4 -
49 -0.57 0.99 -1.3 0.23 -0.69 -1.5 1.3 -0.61 -0.47 -0.41 -0.96 0.46 -0.6 1.7 8.1e+03 0.0055 0.24 -5.1 -
50 -0.57 0.99 -1.3 0.23 -0.69 -1.5 1.3 -0.61 -0.47 -0.41 -0.96 0.46 -0.6 1.7 8.1e+03 0.0055 0.12 -5 -
51 -0.57 0.99 -1.3 0.23 -0.69 -1.5 1.3 -0.61 -0.47 -0.41 -0.96 0.46 -0.6 1.7 8.1e+03 0.0055 0.06 -1.2 -
52 -0.57 0.99 -1.3 0.23 -0.69 -1.5 1.3 -0.61 -0.47 -0.41 -0.96 0.46 -0.6 1.7 8.1e+03 0.0055 0.03 0.043 -
53 -0.58 0.99 -1.3 0.25 -0.68 -1.5 1.4 -0.63 -0.47 -0.41 -0.98 0.48 -0.61 1.7 8.1e+03 0.0041 0.03 0.56 +
54 -0.57 1 -1.3 0.27 -0.7 -1.5 1.4 -0.62 -0.48 -0.42 -0.98 0.5 -0.61 1.7 8.1e+03 0.0024 0.03 0.8 +
55 -0.57 1 -1.3 0.27 -0.7 -1.5 1.4 -0.62 -0.48 -0.42 -0.98 0.5 -0.61 1.7 8.1e+03 0.0024 0.015 -0.87 -
56 -0.57 1 -1.3 0.27 -0.7 -1.5 1.4 -0.62 -0.48 -0.42 -0.98 0.5 -0.61 1.7 8.1e+03 0.0024 0.0075 -1.7 -
57 -0.57 1 -1.3 0.27 -0.7 -1.5 1.4 -0.62 -0.48 -0.42 -0.98 0.5 -0.61 1.7 8.1e+03 0.0024 0.0037 -0.24 -
58 -0.58 1 -1.3 0.28 -0.7 -1.5 1.4 -0.62 -0.48 -0.41 -0.98 0.51 -0.61 1.7 8.1e+03 0.0041 0.0037 0.19 +
59 -0.58 1 -1.3 0.28 -0.7 -1.5 1.4 -0.62 -0.48 -0.41 -0.98 0.51 -0.61 1.7 8.1e+03 0.0014 0.037 0.98 ++
60 -0.59 1 -1.3 0.29 -0.69 -1.6 1.4 -0.63 -0.49 -0.41 -0.99 0.54 -0.61 1.7 8.1e+03 0.0016 0.37 0.95 ++
61 -0.59 1 -1.3 0.29 -0.69 -1.6 1.4 -0.63 -0.49 -0.41 -0.99 0.54 -0.61 1.7 8.1e+03 0.0016 0.19 -0.38 -
62 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.62 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0071 0.19 0.55 +
63 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.62 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0071 0.093 -14 -
64 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.62 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0071 0.047 -3.8 -
65 -0.62 1 -1.3 0.41 -0.7 -1.6 1.6 -0.62 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0071 0.023 -0.61 -
66 -0.61 1 -1.3 0.43 -0.71 -1.6 1.6 -0.64 -0.52 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.00076 0.023 0.48 +
67 -0.61 1 -1.3 0.43 -0.71 -1.6 1.6 -0.64 -0.52 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.00076 0.012 -0.72 -
68 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0016 0.012 0.63 +
69 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0016 0.0058 -7.4 -
70 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0016 0.0029 -3.4 -
71 -0.61 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.51 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0016 0.0029 0.19 +
72 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0015 0.0029 0.21 +
73 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0003 0.0029 0.7 +
74 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.0003 0.0015 -0.87 -
75 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.51 -0.4 -1 0.67 -0.62 1.7 8.1e+03 0.00014 0.0015 0.6 +
76 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.4 -1 0.67 -0.62 1.7 8.1e+03 5.1e-05 0.0015 0.74 +
77 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0001 0.0015 0.77 +
78 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0001 0.00073 0.046 -
79 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0001 0.00036 0.07 -
80 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0001 0.00018 -1.1 -
81 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 0.0001 9.1e-05 -0.06 -
82 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.63 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 3.2e-05 9.1e-05 0.69 +
83 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 6e-05 0.00091 0.91 ++
84 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.4 -1 0.68 -0.62 1.7 8.1e+03 2.8e-05 0.00091 0.86 +
85 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4e-05 0.00091 0.73 +
86 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 2.4e-05 0.00091 0.65 +
87 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4.5e-05 0.00091 0.12 +
88 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4.5e-05 0.00045 -0.081 -
89 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4.3e-05 0.0045 0.93 ++
90 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4.3e-05 0.0023 -4.4 -
91 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4.3e-05 0.0011 -1.4 -
92 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 4.3e-05 0.00057 -0.18 -
93 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1.6e-05 0.00057 0.17 +
94 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1e-05 0.00057 0.79 +
95 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1e-05 0.00028 -1.2 -
96 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 1e-05 0.00014 0.1 -
97 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 8.9e-06 0.00014 0.71 +
98 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 8.9e-06 7.1e-05 -1.2 -
99 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 8.9e-06 3.6e-05 0.046 -
100 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 6.6e-06 3.6e-05 0.56 +
101 -0.62 1 -1.3 0.42 -0.7 -1.6 1.6 -0.64 -0.52 -0.39 -1 0.68 -0.62 1.7 8.1e+03 2.6e-06 3.6e-05 0.94 +
Optimization algorithm has converged.
Relative gradient: 2.56628788022295e-06
Cause of termination: Relative gradient = 2.6e-06 <= 6.1e-06
Number of function evaluations: 211
Number of gradient evaluations: 109
Number of hessian evaluations: 0
Algorithm: BFGS with trust region for simple bound constraints
Number of iterations: 102
Proportion of Hessian calculation: 0/54 = 0.0%
Optimization time: 0:00:00.368050
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000005.iter
Cannot read file __b07everything_000005.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_ref b_time_diff_com b_cost asc_car_ref asc_car_diff_GA Function Relgrad Radius Rho
0 -0.88 1 -0.85 0.33 -0.64 -0.26 -0.44 8.5e+03 0.041 10 1.1 ++
1 -1.1 1.4 -1.1 0.0022 -0.69 -0.0081 -1.1 8.3e+03 0.0087 1e+02 1.1 ++
2 -1.1 1.5 -1.2 -0.16 -0.7 0.015 -1.2 8.3e+03 0.00039 1e+03 1 ++
3 -1.1 1.5 -1.2 -0.16 -0.7 0.015 -1.2 8.3e+03 1.2e-06 1e+03 1 ++
Optimization algorithm has converged.
Relative gradient: 1.1683228639382602e-06
Cause of termination: Relative gradient = 1.2e-06 <= 6.1e-06
Number of function evaluations: 13
Number of gradient evaluations: 9
Number of hessian evaluations: 4
Algorithm: Newton with trust region for simple bound constraints
Number of iterations: 4
Proportion of Hessian calculation: 4/4 = 100.0%
Optimization time: 0:00:00.422772
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000006.iter
Cannot read file __b07everything_000006.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.48 -
1 1e+04 1.4 0.5 0.21 +
2 1e+04 1.4 0.25 -5.5 -
3 1e+04 1.4 0.12 -6.3 -
4 1e+04 1.4 0.062 -3.9 -
5 9.6e+03 6.2 0.062 0.86 +
6 9.6e+03 6.2 0.031 -0.26 -
7 9.6e+03 6.2 0.016 -0.22 -
8 9.6e+03 6.2 0.0078 -0.2 -
9 9.5e+03 1.7 0.0078 0.2 +
10 9.5e+03 1.7 0.0039 -0.063 -
11 9.4e+03 0.96 0.039 0.96 ++
12 9.3e+03 0.24 0.39 1 ++
13 9.3e+03 0.24 0.2 -0.029 -
14 9.1e+03 1.5 0.2 0.6 +
15 9.1e+03 1.5 0.098 -9.4 -
16 9.1e+03 1.5 0.049 -12 -
17 9.1e+03 1.5 0.024 -19 -
18 9.1e+03 1.5 0.012 -6.2 -
19 9.1e+03 1.5 0.0061 -2.5 -
20 9.1e+03 4 0.0061 0.7 +
21 9e+03 0.68 0.061 1.1 ++
22 8.9e+03 1.2 0.61 0.98 ++
23 8.6e+03 8.8 0.61 0.4 +
24 8.6e+03 8.8 0.31 -6.8 -
25 8.6e+03 8.8 0.15 -6.1 -
26 8.6e+03 8.8 0.076 -3.9 -
27 8.6e+03 8.8 0.038 -3 -
28 8.6e+03 8.8 0.019 -2.4 -
29 8.6e+03 8.8 0.0095 -2 -
30 8.6e+03 8.8 0.0048 -1.5 -
31 8.6e+03 8.8 0.0024 -0.81 -
32 8.6e+03 8.8 0.0012 -0.24 -
33 8.6e+03 8.8 0.0006 0.093 -
34 8.5e+03 4.8 0.0006 0.67 +
35 8.5e+03 4.8 0.0003 -1.1 -
36 8.5e+03 4.8 0.00015 -0.42 -
37 8.5e+03 4.2 0.00015 0.63 +
38 8.5e+03 0.31 0.0015 0.95 ++
39 8.5e+03 0.095 0.015 1 ++
40 8.5e+03 0.19 0.15 1 ++
41 8.4e+03 0.12 1.5 1 ++
42 8.4e+03 0.12 0.75 -0.3 -
43 8.2e+03 0.4 7.5 0.96 ++
44 8.2e+03 0.4 0.3 -2.8 -
45 8.1e+03 2.3 0.3 0.67 +
46 8.1e+03 0.47 3 0.98 ++
47 8.1e+03 0.47 0.41 -11 -
48 8.1e+03 1.1 0.41 0.73 +
49 8.1e+03 1.1 4.1 1.2 ++
50 8.1e+03 1.1 1.2 -1e+02 -
51 8.1e+03 1.1 0.6 -17 -
52 8.1e+03 1.1 0.3 -2.4 -
53 8.1e+03 5.3 0.3 0.44 +
54 8.1e+03 2.6 3 0.99 ++
55 8.1e+03 0.87 30 1 ++
56 8.1e+03 0.013 3e+02 1 ++
57 8.1e+03 3.6e-05 3e+03 1 ++
58 8.1e+03 0.0002 3e+04 1 ++
59 8.1e+03 4.8e-08 3e+04 1 ++
Optimization algorithm has converged.
Relative gradient: 4.843554974151202e-08
Cause of termination: Relative gradient = 4.8e-08 <= 6.1e-06
Number of function evaluations: 117
Number of gradient evaluations: 57
Number of hessian evaluations: 28
Algorithm: Newton with trust region for simple bound constraints
Number of iterations: 60
Proportion of Hessian calculation: 28/28 = 100.0%
Optimization time: 0:00:00.769016
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000007.iter
Cannot read file __b07everything_000007.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time b_cost asc_car_ref asc_car_diff_GA Function Relgrad Radius Rho
0 -0.96 1 -0.72 -0.64 -0.31 -0.48 8.5e+03 0.043 10 1.1 ++
1 -1.1 1.4 -1.1 -0.69 -0.0034 -1.1 8.3e+03 0.0087 1e+02 1.1 ++
2 -1.1 1.5 -1.2 -0.7 0.014 -1.3 8.3e+03 0.0003 1e+03 1 ++
3 -1.1 1.5 -1.2 -0.7 0.014 -1.3 8.3e+03 5.2e-07 1e+03 1 ++
Optimization algorithm has converged.
Relative gradient: 5.196762190712167e-07
Cause of termination: Relative gradient = 5.2e-07 <= 6.1e-06
Number of function evaluations: 13
Number of gradient evaluations: 9
Number of hessian evaluations: 4
Algorithm: Newton with trust region for simple bound constraints
Number of iterations: 4
Proportion of Hessian calculation: 4/4 = 100.0%
Optimization time: 0:00:00.350030
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000008.iter
Cannot read file __b07everything_000008.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 1.1e+04 0.4 0.5 -0.26 -
1 9.6e+03 1 0.5 0.65 +
2 9.6e+03 1 0.25 -8.2 -
3 9.6e+03 1 0.12 -10 -
4 9.6e+03 1 0.062 -13 -
5 9.6e+03 1 0.031 -28 -
6 9.6e+03 1 0.016 -2.3 -
7 9.4e+03 0.46 0.16 0.97 ++
8 9.4e+03 0.46 0.078 -14 -
9 9.4e+03 0.46 0.039 -12 -
10 9.4e+03 0.46 0.02 -12 -
11 9.4e+03 0.46 0.0098 -12 -
12 9.4e+03 0.46 0.0049 -3.8 -
13 9.4e+03 2.5 0.0049 0.64 +
14 9.4e+03 0.33 0.049 0.99 ++
15 9.3e+03 0.053 0.49 1 ++
16 8.9e+03 5.2 0.49 0.67 +
17 8.9e+03 5.2 0.24 -7 -
18 8.9e+03 5.2 0.12 -7.7 -
19 8.9e+03 5.2 0.061 -14 -
20 8.9e+03 5.2 0.031 -5.8 -
21 8.9e+03 5.2 0.015 -3.9 -
22 8.9e+03 5.2 0.0076 -2.9 -
23 8.9e+03 5.2 0.0038 -2.1 -
24 8.9e+03 5.2 0.0019 -1.1 -
25 8.9e+03 5.2 0.00095 -0.19 -
26 8.8e+03 4.4 0.00095 0.52 +
27 8.8e+03 4.4 0.00048 -0.36 -
28 8.8e+03 5.1 0.00048 0.2 +
29 8.8e+03 5.1 0.00024 0.025 -
30 8.8e+03 2.5 0.00024 0.68 +
31 8.8e+03 1 0.00024 0.87 +
32 8.8e+03 0.15 0.0024 1 ++
33 8.8e+03 0.76 0.024 1 ++
34 8.7e+03 0.12 0.24 1 ++
35 8.5e+03 0.48 0.24 0.84 +
36 8.4e+03 0.37 0.24 0.84 +
37 8.3e+03 0.057 2.4 1 ++
38 8.2e+03 0.29 2.4 0.85 +
39 8.2e+03 0.29 0.26 -3.6 -
40 8.2e+03 1.1 0.26 0.78 +
41 8.1e+03 1.5 2.6 1.1 ++
42 8.1e+03 1.5 1.3 -4.5e+02 -
43 8.1e+03 1.5 0.64 -1e+02 -
44 8.1e+03 1.5 0.32 -13 -
45 8.1e+03 1.5 0.16 -0.047 -
46 8.1e+03 1.4 1.6 0.98 ++
47 8.1e+03 1.4 0.56 -28 -
48 8.1e+03 1.4 0.28 -0.75 -
49 8.1e+03 3.3 2.8 0.94 ++
50 8.1e+03 17 2.8 0.47 +
51 8.1e+03 17 0.92 -0.87 -
52 8.1e+03 17 0.46 -0.12 -
53 8.1e+03 16 0.46 0.25 +
54 8.1e+03 16 0.23 -5.3 -
55 8.1e+03 16 0.11 -4.6 -
56 8.1e+03 16 0.057 -4.4 -
57 8.1e+03 16 0.029 -4.3 -
58 8.1e+03 16 0.014 -4.1 -
59 8.1e+03 16 0.0071 -3.7 -
60 8.1e+03 16 0.0036 -3.7 -
61 8.1e+03 16 0.0018 -3.7 -
62 8.1e+03 16 0.00089 -3.8 -
63 8.1e+03 16 0.00045 -3.8 -
64 8.1e+03 16 0.00022 -3.9 -
65 8.1e+03 16 0.00011 -1.2 -
66 8.1e+03 18 0.00011 0.6 +
67 8.1e+03 1 0.0011 1 ++
68 8.1e+03 0.027 0.011 1 ++
69 8.1e+03 0.41 0.11 1 ++
70 8.1e+03 1.5 1.1 0.99 ++
71 8.1e+03 0.4 11 1 ++
72 8.1e+03 0.014 1.1e+02 1 ++
73 8.1e+03 1.3e-05 1.1e+03 1 ++
74 8.1e+03 1.4e-06 1.1e+03 1 ++
Optimization algorithm has converged.
Relative gradient: 1.4320582446369766e-06
Cause of termination: Relative gradient = 1.4e-06 <= 6.1e-06
Number of function evaluations: 140
Number of gradient evaluations: 65
Number of hessian evaluations: 32
Algorithm: Newton with trust region for simple bound constraints
Number of iterations: 75
Proportion of Hessian calculation: 32/32 = 100.0%
Optimization time: 0:00:00.762576
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000009.iter
Cannot read file __b07everything_000009.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train b_time b_cost asc_car Function Relgrad Radius Rho
0 -0.76 -0.77 -0.7 -0.29 8.8e+03 0.04 10 1.1 ++
1 -0.66 -1.2 -0.77 -0.0015 8.7e+03 0.0064 1e+02 1.1 ++
2 -0.65 -1.3 -0.79 0.016 8.7e+03 0.00012 1e+03 1 ++
3 -0.65 -1.3 -0.79 0.016 8.7e+03 4e-08 1e+03 1 ++
Optimization algorithm has converged.
Relative gradient: 3.954408090874478e-08
Cause of termination: Relative gradient = 4e-08 <= 6.1e-06
Number of function evaluations: 13
Number of gradient evaluations: 9
Number of hessian evaluations: 4
Algorithm: Newton with trust region for simple bound constraints
Number of iterations: 4
Proportion of Hessian calculation: 4/4 = 100.0%
Optimization time: 0:00:00.309103
Calculate final gradient and BHHH
Calculate second derivatives
Biogeme parameters provided by the user.
*** Initial values of the parameters are obtained from the file __b07everything_000010.iter
Cannot read file __b07everything_000010.iter. Statement is ignored.
Starting values for the algorithm: {}
Analytical Hessian method: full
As the model is not too complex, we activate the calculation of second derivatives. To change this behavior, modify the algorithm to "simple_bounds" in the TOML file.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. asc_train_ref asc_train_diff_ b_time_train square_tt_coef cube_tt_coef b_cost b_time_swissmet asc_car_ref asc_car_diff_GA b_time_car Function Relgrad Radius Rho
0 0 0 0 0 0 0 0 0 0 0 1.1e+04 0.4 0.5 -0.16 -
1 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.5 0.8 +
2 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.25 -10 -
3 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.12 -12 -
4 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.062 -14 -
5 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.031 -16 -
6 -0.27 -8.3e-05 -0.5 0.0013 0.013 -0.039 0.2 0.0074 -0.022 -0.021 9.5e+03 0.72 0.016 -4.8 -
7 -0.29 0.016 -0.52 0.017 -0.0029 -0.054 0.19 -0.0082 -0.038 -0.015 9.5e+03 5.4 0.016 0.33 +
8 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.016 0.58 +
9 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.0078 -3.9 -
10 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.0039 -4.6 -
11 -0.29 0.019 -0.52 0.019 0.0013 -0.061 0.19 -0.013 -0.04 -0.03 9.4e+03 0.5 0.002 -1.4 -
12 -0.29 0.021 -0.53 0.021 -0.00064 -0.062 0.19 -0.015 -0.042 -0.032 9.4e+03 0.079 0.002 0.86 +
13 -0.29 0.021 -0.53 0.022 -0.00017 -0.064 0.19 -0.016 -0.043 -0.034 9.4e+03 0.19 0.02 1 ++
14 -0.29 0.028 -0.54 0.03 -0.00099 -0.077 0.19 -0.025 -0.047 -0.054 9.3e+03 0.55 0.2 0.96 ++
15 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.2 0.71 +
16 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.098 -8.6 -
17 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.049 -8.9 -
18 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.024 -11 -
19 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.012 -5.2 -
20 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.0061 -3.4 -
21 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.0031 -2.1 -
22 -0.33 0.11 -0.63 0.11 0.00011 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.6 0.0015 -0.6 -
23 -0.33 0.11 -0.63 0.11 -0.0014 -0.23 0.17 -0.11 -0.1 -0.25 9.2e+03 2.3 0.0015 0.37 +
24 -0.33 0.11 -0.63 0.11 -0.0005 -0.23 0.17 -0.1 -0.1 -0.25 9.1e+03 2.5 0.0015 0.59 +
25 -0.33 0.11 -0.63 0.11 -0.0005 -0.23 0.17 -0.1 -0.1 -0.25 9.1e+03 2.5 0.00076 -0.79 -
26 -0.33 0.11 -0.63 0.11 -0.0005 -0.23 0.17 -0.1 -0.1 -0.25 9.1e+03 2.5 0.00038 0.034 -
27 -0.33 0.11 -0.63 0.11 -0.00088 -0.23 0.16 -0.1 -0.1 -0.25 9.1e+03 0.99 0.00038 0.57 +
28 -0.33 0.11 -0.63 0.11 -0.00074 -0.23 0.16 -0.1 -0.1 -0.25 9.1e+03 0.68 0.00038 0.77 +
29 -0.33 0.11 -0.63 0.11 -0.00079 -0.23 0.16 -0.1 -0.1 -0.25 9.1e+03 0.1 0.0038 1 ++
30 -0.33 0.11 -0.63 0.11 -0.00071 -0.24 0.16 -0.1 -0.1 -0.24 9.1e+03 0.91 0.038 1 ++
31 -0.33 0.12 -0.63 0.094 -0.00069 -0.25 0.12 -0.092 -0.11 -0.23 9.1e+03 0.076 0.38 1 ++
32 -0.36 0.3 -0.73 0.19 -0.00093 -0.52 -0.26 -0.071 -0.2 -0.27 8.7e+03 1.9 0.38 0.82 +
33 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.38 0.51 +
34 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.19 -5.4 -
35 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.095 -6 -
36 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.048 -7.1 -
37 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.024 -5.2 -
38 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.012 -4.1 -
39 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.006 -3.5 -
40 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.003 -3.1 -
41 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.0015 -2.7 -
42 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.00075 -1.9 -
43 -0.38 0.6 -0.74 0.5 -0.0028 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.8 0.00037 -0.5 -
44 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.0037 0.99 ++
45 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.0019 -0.021 -
46 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00093 -0.62 -
47 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00047 -1.3 -
48 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00023 -1.9 -
49 -0.38 0.6 -0.74 0.5 -0.0024 -0.7 -0.64 -0.18 -0.34 -0.54 8.6e+03 1.6 0.00012 -2.3 -
50 -0.38 0.6 -0.74 0.5 -0.0023 -0.7 -0.64 -0.17 -0.34 -0.54 8.6e+03 2.8 0.00012 0.2 +
51 -0.38 0.6 -0.74 0.5 -0.0023 -0.7 -0.64 -0.17 -0.34 -0.54 8.6e+03 0.23 0.0012 1 ++
52 -0.38 0.6 -0.74 0.5 -0.0023 -0.7 -0.64 -0.17 -0.34 -0.54 8.6e+03 0.071 0.012 1 ++
53 -0.38 0.61 -0.74 0.49 -0.0023 -0.7 -0.64 -0.17 -0.35 -0.53 8.6e+03 0.29 0.12 1 ++
54 -0.42 0.65 -0.76 0.37 -0.0018 -0.71 -0.59 -0.19 -0.37 -0.47 8.5e+03 0.043 1.2 1 ++
55 -0.42 0.65 -0.76 0.37 -0.0018 -0.71 -0.59 -0.19 -0.37 -0.47 8.5e+03 0.043 0.58 -3 -
56 -0.81 1.2 -0.95 -0.036 -0.00013 -0.71 -0.78 -0.46 -0.64 -0.59 8.4e+03 1.6 0.58 0.35 +
57 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 5.8 0.98 ++
58 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 2.9 -2.5e+02 -
59 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 1.5 -1e+02 -
60 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 0.73 -32 -
61 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 0.36 -6.3 -
62 -0.9 1.5 -1.5 -0.0084 -0.00022 -0.72 -1.4 -0.4 -0.76 -1.1 8.2e+03 0.91 0.18 -0.66 -
63 -0.97 1.5 -1.7 -0.089 0.00011 -0.71 -1.5 -0.41 -0.82 -1.2 8.2e+03 6 0.18 0.61 +
64 -0.93 1.5 -1.7 -0.07 3.2e-05 -0.73 -1.7 -0.42 -0.86 -1.3 8.2e+03 1.2 1.8 1 ++
65 -0.93 1.5 -1.7 -0.07 3.2e-05 -0.73 -1.7 -0.42 -0.86 -1.3 8.2e+03 1.2 0.45 -0.99 -
66 -0.93 1.6 -2.2 -0.11 0.00023 -0.72 -2.2 -0.48 -0.99 -1.6 8.2e+03 8.7 0.45 0.68 +
67 -0.6 1.5 -2.5 -0.1 0.0002 -0.74 -2.4 -0.42 -1 -1.8 8.2e+03 2.5 4.5 0.91 ++
68 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 0.077 45 0.98 ++
69 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 0.00085 4.5e+02 1 ++
70 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 0.0011 4.5e+03 1 ++
71 -0.6 1.5 -2.5 -0.11 0.00021 -0.74 -2.4 -0.43 -1 -1.8 8.2e+03 2.8e-08 4.5e+03 1 ++
Optimization algorithm has converged.
Relative gradient: 2.7966582916558722e-08
Cause of termination: Relative gradient = 2.8e-08 <= 6.1e-06
Number of function evaluations: 137
Number of gradient evaluations: 65
Number of hessian evaluations: 32
Algorithm: Newton with trust region for simple bound constraints
Number of iterations: 72
Proportion of Hessian calculation: 32/32 = 100.0%
Optimization time: 0:00:00.625781
Calculate final gradient and BHHH
Calculate second derivatives
Pareto: 11
Considered: 149
Removed: 23
print(f'A total of {len(non_dominated_models)} models have been generated.')
A total of 11 models have been generated.
compiled_results, specs = compile_estimation_results(
non_dominated_models, use_short_names=True
)
display(compiled_results)
Model_000000 ... Model_000010
Number of estimated parameters 9 ... 10
Sample size 10719 ... 10719
Final log likelihood -8176.92 ... -8169.511
Akaike Information Criterion 16371.84 ... 16359.02
Bayesian Information Criterion 16437.36 ... 16431.82
asc_train_ref (t-test) -0.525 (-9.13) ... -0.602 (-5.18)
asc_train_diff_GA (t-test) 1.26 (15.4) ... 1.52 (20.6)
b_time_ref (t-test) -1.48 (-26.7) ...
b_time_diff_commuters (t-test) -0.447 (-3.58) ...
lambda_travel_time (t-test) 0.306 (4.67) ...
b_cost (t-test) -0.612 (-12.9) ... -0.743 (-14.9)
asc_car_ref (t-test) 0.184 (5.44) ... -0.427 (-5.39)
asc_car_diff_GA (t-test) -0.66 (-5.23) ... -1.04 (-6.67)
mu_existing (t-test) 1.53 (19.3) ...
asc_train (t-test) ...
b_time (t-test) ...
asc_car (t-test) ...
b_time_diff_1st_class (t-test) ...
square_tt_coef (t-test) ... -0.107 (-22.9)
cube_tt_coef (t-test) ... 0.000208 (6.93)
b_cost_train (t-test) ...
b_cost_swissmetro (t-test) ...
b_cost_car (t-test) ...
b_time_train_ref (t-test) ...
b_time_train_diff_commuters (t-test) ...
b_time_swissmetro_ref (t-test) ...
b_time_swissmetro_diff_commuters (t-test) ...
b_time_car_ref (t-test) ...
b_time_car_diff_commuters (t-test) ...
asc_train_diff_one_lugg (t-test) ...
asc_train_diff_several_lugg (t-test) ...
asc_car_diff_one_lugg (t-test) ...
asc_car_diff_several_lugg (t-test) ...
b_time_train (t-test) ... -2.54 (-21.8)
b_time_swissmetro (t-test) ... -2.39 (-25.5)
b_time_car (t-test) ... -1.8 (-23)
[36 rows x 11 columns]
Glossary
for short_name, spec in specs.items():
print(f'{short_name}\t{spec}')
Model_000000 asc:GA;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:boxcox
Model_000001 asc:no_seg;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:linear
Model_000002 asc:GA;b_cost_gen_altspec:generic;b_time:FIRST;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:linear
Model_000003 asc:GA;b_cost_gen_altspec:altspec;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:nested existing;train_tt_catalog:power
Model_000004 asc:GA;b_cost_gen_altspec:altspec;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:nested existing;train_tt_catalog:linear
Model_000005 asc:GA;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear
Model_000006 asc:GA-LUGGAGE;b_cost_gen_altspec:altspec;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:power
Model_000007 asc:GA;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear
Model_000008 asc:GA-LUGGAGE;b_cost_gen_altspec:generic;b_time:COMMUTERS;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:power
Model_000009 asc:no_seg;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:generic;model_catalog:logit;train_tt_catalog:linear
Model_000010 asc:GA;b_cost_gen_altspec:generic;b_time:no_seg;b_time_gen_altspec:altspec;model_catalog:logit;train_tt_catalog:power
Total running time of the script: (1 minutes 33.290 seconds)