Note
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Assisted specification
Example of the estimation of several versions of the model using assisted specification algorithm. The catalog of specifications is defined in Specification of a catalog of models . Compared to Assisted specification, the number fo specifications exceeds the maximum limit, so a heuristic is applied. See Bierlaire and Ortelli, 2023 for a detailed description of the use of the assisted specification algorithm.
- author:
Michel Bierlaire, EPFL
- date:
Wed Apr 12 17:05:40 2023
import biogeme.biogeme_logging as blog
from biogeme.results import compile_estimation_results
from biogeme.multiobjectives import AIC_BIC_dimension
from biogeme.assisted import AssistedSpecification
from plot_b22multiple_models_spec import the_biogeme, PARETO_FILE_NAME
logger = blog.get_screen_logger(blog.INFO)
logger.info('Example b22multiple_models')
Example b22multiple_models
nbr = the_biogeme.loglike.number_of_multiple_expressions()
if nbr is None:
print('There are too many possible specifications to be enumerated')
else:
print(f'There are {nbr} possible specifications')
There are 504 possible specifications
Creation of the object capturing the assisted specification algorithm. Its constructor takes three arguments:
the biogeme object containing the specifications and the database,
an object defining the objectives to minimize. Here, we use three objectives: AIC, BIC and numner of parameters.
the name of the file where the estimated are saved, and organized into a Pareto set.
assisted_specification = AssistedSpecification(
biogeme_object=the_biogeme,
multi_objectives=AIC_BIC_dimension,
pareto_file_name=PARETO_FILE_NAME,
)
Unable to read file b22multiple_models.pareto. Pareto set empty.
The algorithm is run.
non_dominated_models = assisted_specification.run()
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.49 -0.92 -0.88 -0.67 5.4e+03 0.041 10 1.1 ++
1 -0.18 -0.73 -1 -1.2 5.3e+03 0.0072 1e+02 1.1 ++
2 -0.16 -0.7 -1.1 -1.3 5.3e+03 0.00018 1e+03 1 ++
3 -0.16 -0.7 -1.1 -1.3 5.3e+03 1.1e-07 1e+03 1 ++
default_specification=ASC:no_seg;TRAIN_COST_catalog:linear;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:linear
The number of possible specifications [504] exceeds the maximum number [100]. A heuristic algorithm is applied.
*** VNS ***
ASC:no_seg;TRAIN_COST_catalog:linear;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:linear [10670.504013832324, 10697.783857437467, 4]
Initial pareto: 1
Attempt 0/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.11 -1 -0.38 0 0 0 0 0 0 0 6e+03 0.074 10 1.1 ++
1 -0.75 -1.6 -0.83 0 0 0 0 0 0 0 5.6e+03 0.0058 1e+02 1 ++
2 -0.8 -1.7 -0.94 0 0 0 0 0 0 0 5.6e+03 0.00016 1e+03 1 ++
3 -0.8 -1.7 -0.94 0 0 0 0 0 0 0 5.6e+03 1.4e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 6.1e+03 0.07 10 1.1 ++
1 5.9e+03 0.0023 1e+02 1 ++
2 5.9e+03 1.1e-05 1e+03 1 ++
3 5.9e+03 2.6e-10 1e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.079 -1 -1 0 0 0 0 0 0 0 5.9e+03 0.076 10 1.1 ++
1 -0.7 -1.6 -1.8 0 0 0 0 0 0 0 5.6e+03 0.0079 1e+02 1 ++
2 -0.76 -1.7 -2.2 0 0 0 0 0 0 0 5.6e+03 0.0005 1e+03 1 ++
3 -0.76 -1.7 -2.2 0 0 0 0 0 0 0 5.6e+03 1.8e-06 1e+03 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 1/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.91 -0.22 -0.0073 0 0 0 0 0 0 0 5.9e+03 2.6 10 1 ++
1 -0.93 -1.4 -1.1 -0.0057 0 0 0 0 0 0 0 5.6e+03 0.042 1e+02 0.97 ++
2 -0.98 -1.4 -1.1 -0.0055 0 0 0 0 0 0 0 5.6e+03 0.00046 1e+03 1 ++
3 -0.98 -1.4 -1.1 -0.0055 0 0 0 0 0 0 0 5.6e+03 4.8e-08 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -0.13 -1 -0.3 0 0 0 0 0 0 0 2 6e+03 0.08 10 1 ++
1 -0.13 -1 -0.3 0 0 0 0 0 0 0 2 6e+03 0.08 5 -8.3e+05 -
2 -0.13 -1 -0.3 0 0 0 0 0 0 0 2 6e+03 0.08 2.5 -42 -
3 -1.3 -1.5 -1.7 0 0 0 0 0 0 0 -0.5 5.9e+03 0.082 2.5 0.2 +
4 -1.3 -1.5 -1.7 0 0 0 0 0 0 0 -0.5 5.9e+03 0.082 1 -0.66 -
5 -0.58 -1.4 -0.71 0 0 0 0 0 0 0 -0.45 5.7e+03 0.026 1 0.82 +
6 -0.93 -1.7 -1.4 0 0 0 0 0 0 0 0.59 5.7e+03 0.026 1 0.38 +
7 -0.88 -1.7 -1.1 0 0 0 0 0 0 0 0.38 5.7e+03 0.0041 10 1.1 ++
8 -0.88 -1.7 -1.1 0 0 0 0 0 0 0 0.17 5.7e+03 0.0012 1e+02 0.98 ++
9 -0.88 -1.7 -1.1 0 0 0 0 0 0 0 0.17 5.7e+03 3.3e-06 1e+02 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.047 -0.85 -1 -0.065 -0.27 0 0 0 0 0 0 0 6e+03 0.075 10 1.1 ++
1 -0.84 0.038 -2 2.2 -0.88 0 0 0 0 0 0 0 5.3e+03 0.038 1e+02 1 ++
2 -0.88 -0.067 -2.2 2.1 -1 0 0 0 0 0 0 0 5.3e+03 0.0012 1e+03 1 ++
3 -0.88 -0.067 -2.2 2.1 -1 0 0 0 0 0 0 0 5.3e+03 5.4e-06 1e+03 1 ++
Considering neighbor 2/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:linear;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:piecewise_2 [10649.838506336919, 10731.678037152351, 12]
Attempt 2/100
Considering neighbor 0/20 for current solution
Attempt 3/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.91 -0.3 -0.0074 0 0 0 0 0 0 0 5.9e+03 2.6 10 1 ++
1 -0.78 -1.4 -2 -0.0057 0 0 0 0 0 0 0 5.6e+03 0.22 1e+02 0.99 ++
2 -0.87 -1.4 -2.2 -0.0055 0 0 0 0 0 0 0 5.6e+03 0.0089 1e+03 1 ++
3 -0.88 -1.4 -2.2 -0.0055 0 0 0 0 0 0 0 5.6e+03 1.2e-05 1e+04 1 ++
4 -0.88 -1.4 -2.2 -0.0055 0 0 0 0 0 0 0 5.6e+03 4.4e-11 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.2 -0.91 0.23 -0.3 -0.0079 0 0 0 0 0 0 0 5.8e+03 2.6 10 1 ++
1 -0.98 1.5 -1.8 2.3 -2.7 -0.0061 0 0 0 0 0 0 0 5.2e+03 0.78 1e+02 0.97 ++
2 -1.1 1.4 -2 2.2 -2.7 -0.0064 0 0 0 0 0 0 0 5.2e+03 0.046 1e+03 1 ++
3 -1.1 1.4 -2 2.2 -2.7 -0.0064 0 0 0 0 0 0 0 5.2e+03 0.00027 1e+04 1 ++
4 -1.1 1.4 -2 2.2 -2.7 -0.0064 0 0 0 0 0 0 0 5.2e+03 8.8e-09 1e+04 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:sqrt;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:piecewise_2 [10487.359294995447, 10576.018786712166, 13]
Attempt 4/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.5e+03 2.9 10 1.1 ++
1 5.3e+03 0.37 1e+02 1.1 ++
2 5.3e+03 0.032 1e+03 1 ++
3 5.3e+03 0.00026 1e+04 1 ++
4 5.3e+03 2e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 5/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.2 -0.91 0.23 -0.22 -0.0078 0 0 0 0 0 0 0 5.8e+03 2.6 10 1 ++
1 -0.98 -1.2 -1.8 2.3 -1.4 -0.0061 0 0 0 0 0 0 0 5.2e+03 0.85 1e+02 0.99 ++
2 -1.1 -1.6 -2 2.3 -1.5 -0.0063 0 0 0 0 0 0 0 5.2e+03 0.044 1e+03 1 ++
3 -1.1 -1.6 -2 2.3 -1.5 -0.0064 0 0 0 0 0 0 0 5.2e+03 0.00035 1e+04 1 ++
4 -1.1 -1.6 -2 2.3 -1.5 -0.0064 0 0 0 0 0 0 0 5.2e+03 1.5e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:piecewise_1 [10408.950157973737, 10497.609649690456, 13]
Attempt 6/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.045 -1 -1 0.15 -0.35 0 0 0 0 0 0 0 5.9e+03 0.076 10 1.1 ++
1 -0.86 -1.1 -2.1 2.2 -1.2 0 0 0 0 0 0 0 5.2e+03 0.031 1e+02 1 ++
2 -0.95 -1.5 -2.3 2.2 -1.5 0 0 0 0 0 0 0 5.2e+03 0.0012 1e+03 1 ++
3 -0.95 -1.5 -2.3 2.2 -1.5 0 0 0 0 0 0 0 5.2e+03 3.9e-06 1e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:piecewise_2 [10447.618977007643, 10529.458507823076, 12]
Attempt 7/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -0.047 -1 -1 0.11 -0.27 0 0 0 0 0 0 0 1.1 5.9e+03 0.076 10 1.1 ++
1 -0.047 -1 -1 0.11 -0.27 0 0 0 0 0 0 0 1.1 5.9e+03 0.076 5 -1.2e+07 -
2 -0.047 -1 -1 0.11 -0.27 0 0 0 0 0 0 0 1.1 5.9e+03 0.076 2.5 -1.8e+02 -
3 -0.047 -1 -1 0.11 -0.27 0 0 0 0 0 0 0 1.1 5.9e+03 0.076 1.2 -0.2 -
4 -0.86 -1.1 -1.9 1.4 -1 0 0 0 0 0 0 0 0.91 5.3e+03 0.021 12 1.1 ++
5 -0.86 -1.1 -1.9 1.4 -1 0 0 0 0 0 0 0 0.91 5.3e+03 0.021 2.9 -6.5e+03 -
6 -0.86 -1.1 -1.9 1.4 -1 0 0 0 0 0 0 0 0.91 5.3e+03 0.021 1.4 -31 -
7 -0.86 -1.1 -1.9 1.4 -1 0 0 0 0 0 0 0 0.91 5.3e+03 0.021 0.72 -0.044 -
8 -0.78 -1.2 -2.1 2 -1.1 0 0 0 0 0 0 0 0.19 5.2e+03 0.01 7.2 1.1 ++
9 -0.78 -1.2 -2.1 2 -1.1 0 0 0 0 0 0 0 0.19 5.2e+03 0.01 0.41 -0.57 -
10 -0.98 -1.2 -2.3 2.1 -1.5 0 0 0 0 0 0 0 -0.1 5.2e+03 0.0091 0.41 0.89 +
11 -0.95 -1.6 -2.3 2.3 -1.5 0 0 0 0 0 0 0 -0.15 5.2e+03 0.00048 4.1 1 ++
12 -0.95 -1.7 -2.3 2.3 -1.5 0 0 0 0 0 0 0 -0.15 5.2e+03 1.1e-05 41 1 ++
13 -0.95 -1.7 -2.3 2.3 -1.5 0 0 0 0 0 0 0 -0.15 5.2e+03 6.1e-09 41 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.91 -0.42 -0.0075 0 0 0 0 0 0 0 5.8e+03 2.5 10 1 ++
1 -0.89 -1.3 -0.91 -0.0058 0 0 0 0 0 0 0 5.6e+03 0.098 1e+02 1 ++
2 -0.91 -1.4 -0.94 -0.0055 0 0 0 0 0 0 0 5.6e+03 0.0014 1e+03 1 ++
3 -0.91 -1.4 -0.94 -0.0055 0 0 0 0 0 0 0 5.6e+03 2.2e-07 1e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 8/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.2 -0.91 0.23 -0.42 -0.008 0 0 0 0 0 0 0 5.7e+03 2.5 10 1 ++
1 -0.97 0.0081 -1.7 2.2 -0.97 -0.0062 0 0 0 0 0 0 0 5.3e+03 1.1 1e+02 1 ++
2 -1 -0.049 -1.9 2.2 -1 -0.0064 0 0 0 0 0 0 0 5.3e+03 0.062 1e+03 1 ++
3 -1 -0.042 -1.9 2.2 -1 -0.0064 0 0 0 0 0 0 0 5.3e+03 0.00046 1e+04 1 ++
4 -1 -0.042 -1.9 2.2 -1 -0.0064 0 0 0 0 0 0 0 5.3e+03 2.6e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 9/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.36 -0.062 -0.15 -0.054 -0.57 -0.89 0.24 -0.0075 -0.88 0.00074 -1 5.4e+03 2.9 10 1.1 ++
1 -0.46 0.29 0.18 0.021 -0.19 -1.1 0.75 0.35 -2.1 -0.0043 -2.8 5e+03 0.43 1e+02 1.1 ++
2 -0.53 0.36 0.19 -0.0019 -0.18 -1.1 0.94 0.52 -2.4 -0.0057 -3.2 5e+03 0.037 1e+03 1 ++
3 -0.54 0.37 0.19 0.0044 -0.19 -1.1 0.96 0.55 -2.4 -0.0059 -3.2 5e+03 0.00036 1e+04 1 ++
4 -0.54 0.37 0.19 0.0044 -0.19 -1.1 0.96 0.55 -2.4 -0.0059 -3.2 5e+03 3.5e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:MALE-LUGGAGE;TRAIN_COST_catalog:sqrt;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:sqrt [10063.50793454544, 10138.527504459586, 11]
Attempt 10/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.36 -0.25 -0.88 0.66 -1 -0.79 5.2e+03 0.047 10 1.1 ++
1 -0.28 -0.28 -1.2 1.9 -1.1 -1.1 5.1e+03 0.014 1e+02 1.1 ++
2 -0.25 -0.3 -1.3 2 -1.1 -1.2 5.1e+03 0.0007 1e+03 1 ++
3 -0.25 -0.3 -1.3 2 -1.1 -1.2 5.1e+03 2.4e-06 1e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:linear;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:linear [10113.355391622934, 10154.27515703065, 6]
Attempt 11/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.5e+03 2.8 10 1.1 ++
1 5.4e+03 0.4 1e+02 1.1 ++
2 5.4e+03 0.033 1e+03 1.1 ++
3 5.4e+03 0.00028 1e+04 1 ++
4 5.4e+03 2.6e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.46 -0.72 -0.85 -0.00082 -1 2 5.9e+03 1.6 1 0.56 +
1 -0.84 -1 -1.8 -0.0076 0 2.1 5.8e+03 0.42 1 0.24 +
2 -0.84 -1 -1.8 -0.0076 0 2.1 5.8e+03 0.42 0.5 -0.05 -
3 -1.1 -1.4 -1.3 -0.0067 -0.039 2.3 5.6e+03 0.13 5 0.95 ++
4 -1.1 -1.4 -1.3 -0.0067 -0.039 2.3 5.6e+03 0.13 2.5 -3.9 -
5 -1.1 -1.4 -1.3 -0.0067 -0.039 2.3 5.6e+03 0.13 1.2 -0.59 -
6 -0.44 -1.4 -0.7 -0.0003 -0.26 1 5.6e+03 0.31 1.2 0.38 +
7 -0.46 -0.76 -0.99 -0.0051 -0.82 1 5.4e+03 0.041 12 1.1 ++
8 -0.14 -0.25 -1 -0.0054 -1.7 0.064 5.4e+03 0.068 12 0.53 +
9 -0.18 -0.3 -1 -0.0053 -1.6 0.37 5.4e+03 0.0066 1.2e+02 1 ++
10 -0.22 -0.37 -1 -0.0053 -1.5 0.4 5.4e+03 0.00033 1.2e+03 1 ++
11 -0.22 -0.37 -1 -0.0053 -1.5 0.4 5.4e+03 1.5e-06 1.2e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.5e+03 2.7 10 1.1 ++
1 5.4e+03 0.42 1e+02 1.1 ++
2 5.4e+03 0.038 1e+03 1.1 ++
3 5.4e+03 0.0004 1e+04 1 ++
4 5.4e+03 5.2e-08 1e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 12/100
Considering neighbor 0/20 for current solution
Attempt 13/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.57 -0.73 -0.9 -0.0035 -0.67 5.4e+03 2.1 10 1.1 ++
1 -0.29 -0.49 -1.1 -0.005 -1.2 5.3e+03 0.21 1e+02 1.1 ++
2 -0.26 -0.45 -1.1 -0.0054 -1.3 5.3e+03 0.0035 1e+03 1 ++
3 -0.26 -0.45 -1.1 -0.0054 -1.3 5.3e+03 0.00032 1e+04 1 ++
4 -0.26 -0.45 -1.1 -0.0054 -1.3 5.3e+03 1.9e-06 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:no_seg;TRAIN_COST_catalog:linear;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:linear [10640.772657726602, 10674.872462233032, 5]
Attempt 14/100
Considering neighbor 0/20 for current solution
Attempt 15/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.42 -0.52 -0.37 -0.0033 -1 5.6e+03 2.5 10 1 ++
1 -0.011 -0.33 -2 -0.0049 -1.6 5.3e+03 0.096 1e+02 1 ++
2 -0.046 -0.26 -2.3 -0.0053 -1.7 5.3e+03 0.0083 1e+03 1 ++
3 -0.049 -0.26 -2.3 -0.0053 -1.7 5.3e+03 0.00023 1e+04 1 ++
4 -0.049 -0.26 -2.3 -0.0053 -1.7 5.3e+03 1.7e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:no_seg;TRAIN_COST_catalog:sqrt;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:log [10556.038251847895, 10590.138056354324, 5]
Attempt 16/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.31 -0.14 -0.71 0.23 0 -1 0 0 0 0 0 0 5.6e+03 0.044 10 1 ++
1 0.24 -1 -0.77 2.1 0 -1.6 0 0 0 0 0 0 5.3e+03 0.023 1e+02 0.93 ++
2 0.23 -1.3 -0.88 1.9 0 -1.6 0 0 0 0 0 0 5.2e+03 0.00045 1e+03 1 ++
3 0.23 -1.3 -0.88 1.9 0 -1.6 0 0 0 0 0 0 5.2e+03 1.6e-06 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME Function Relgrad Radius Rho
0 -0.37 -0.17 -0.092 -1 0.26 0.013 -0.95 -0.7 5.4e+03 0.039 10 1.1 ++
1 -0.29 -0.032 -0.57 -1.5 0.89 0.71 -1 -1 5.3e+03 0.0099 1e+02 1.1 ++
2 -0.28 -0.038 -0.65 -1.7 1.1 0.93 -1.1 -1 5.3e+03 0.0011 1e+03 1.1 ++
3 -0.28 -0.038 -0.65 -1.7 1.2 0.96 -1.1 -1 5.3e+03 1.3e-05 1e+04 1 ++
4 -0.28 -0.038 -0.65 -1.7 1.2 0.96 -1.1 -1 5.3e+03 2e-09 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.52 -0.14 -0.53 0.21 -0.24 -0.0043 -1 5.5e+03 2.5 10 1 ++
1 -0.24 -1.3 -0.88 2.4 -1.3 -0.0052 -1.4 5e+03 0.97 1e+02 0.96 ++
2 -0.28 -1.8 -0.92 2.2 -1.5 -0.006 -1.6 4.9e+03 0.029 1e+03 1 ++
3 -0.28 -1.8 -0.92 2.2 -1.5 -0.0061 -1.6 4.9e+03 0.00023 1e+04 1 ++
4 -0.28 -1.8 -0.92 2.2 -1.5 -0.0061 -1.6 4.9e+03 5.6e-06 1e+04 1 ++
Considering neighbor 2/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:log [9879.020121111205, 9926.759847420208, 7]
Attempt 17/100
Considering neighbor 0/20 for current solution
Attempt 18/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.27 -0.12 -0.76 0.19 -0.37 -1 5.4e+03 0.044 10 1 ++
1 -0.072 -0.11 -0.97 2.4 -0.96 -1.6 5e+03 0.027 1e+02 0.94 ++
2 -0.067 -0.29 -1 2.1 -1.1 -1.7 5e+03 0.00066 1e+03 1 ++
3 -0.067 -0.29 -1 2.1 -1.1 -1.7 5e+03 2.1e-06 1e+03 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:linear;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:log [10054.467818928892, 10095.387584336608, 6]
Attempt 19/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.88 -0.05 -0.77 -0.89 -0.88 0 0 0 0 0 0 0 5.5e+03 0.035 10 1 ++
1 -0.95 0.15 -0.75 -1.3 -0.94 0 0 0 0 0 0 0 5.5e+03 0.0059 1e+02 1.1 ++
2 -0.95 0.14 -0.75 -1.3 -0.95 0 0 0 0 0 0 0 5.5e+03 0.00018 1e+03 1 ++
3 -0.95 0.14 -0.75 -1.3 -0.95 0 0 0 0 0 0 0 5.5e+03 1.5e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.11 -1 -0.38 -1 5.6e+03 0.041 10 1.1 ++
1 -0.037 -0.65 -0.89 -2.8 5.3e+03 0.016 1e+02 1.1 ++
2 -0.0039 -0.49 -1.1 -3.3 5.3e+03 0.0015 1e+03 1.1 ++
3 -0.0026 -0.48 -1.1 -3.4 5.3e+03 9.8e-06 1e+04 1 ++
4 -0.0026 -0.48 -1.1 -3.4 5.3e+03 4.4e-10 1e+04 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
ASC:no_seg;TRAIN_COST_catalog:linear;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:sqrt [10592.228471637549, 10619.508315242692, 4]
Attempt 20/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.37 -0.21 -0.028 -0.53 -0.029 -0.0059 -0.56 -0.0037 -1 5.5e+03 2.3 10 1 ++
1 -0.15 0.04 -0.31 -0.82 0.83 0.67 -0.97 -0.005 -1.6 5.2e+03 0.45 1e+02 1.1 ++
2 -0.16 0.059 -0.34 -1.1 1.1 0.95 -1 -0.0056 -1.6 5.2e+03 0.0077 1e+03 1.1 ++
3 -0.16 0.056 -0.31 -1.1 1.2 1 -1 -0.0055 -1.7 5.2e+03 0.001 1e+04 1 ++
4 -0.16 0.056 -0.3 -1.1 1.2 1 -1 -0.0055 -1.7 5.2e+03 2.3e-05 1e+05 1 ++
5 -0.16 0.056 -0.3 -1.1 1.2 1 -1 -0.0055 -1.7 5.2e+03 3.6e-07 1e+05 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.32 -0.71 -0.28 -1 5.6e+03 0.042 10 1 ++
1 -0.1 -0.65 -1 -1.5 5.4e+03 0.0059 1e+02 1 ++
2 -0.11 -0.63 -1.1 -1.5 5.4e+03 9.8e-05 1e+03 1 ++
3 -0.11 -0.63 -1.1 -1.5 5.4e+03 3.9e-08 1e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 21/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.2 -0.91 0.23 -0.22 -0.0078 0 0 0 0 0 0 0 5.8e+03 2.6 10 1 ++
1 -0.98 -1.2 -1.8 2.3 -1.4 -0.0061 0 0 0 0 0 0 0 5.2e+03 0.85 1e+02 0.99 ++
2 -1.1 -1.6 -2 2.3 -1.5 -0.0063 0 0 0 0 0 0 0 5.2e+03 0.044 1e+03 1 ++
3 -1.1 -1.6 -2 2.3 -1.5 -0.0064 0 0 0 0 0 0 0 5.2e+03 0.00035 1e+04 1 ++
4 -1.1 -1.6 -2 2.3 -1.5 -0.0064 0 0 0 0 0 0 0 5.2e+03 1.5e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 22/100
Considering neighbor 0/20 for current solution
Attempt 23/100
Considering neighbor 0/20 for current solution
Attempt 24/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.55 -0.95 -0.93 -0.63 5.5e+03 0.036 10 1.1 ++
1 -0.29 -0.86 -1 -1 5.4e+03 0.0047 1e+02 1.1 ++
2 -0.27 -0.85 -1 -1.1 5.4e+03 7.3e-05 1e+03 1 ++
3 -0.27 -0.85 -1 -1.1 5.4e+03 1.7e-08 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.3 -0.74 -0.39 -1 5.5e+03 0.044 10 1 ++
1 -0.0041 -0.54 -0.93 -1.6 5.3e+03 0.0052 1e+02 1.1 ++
2 0.0019 -0.51 -1 -1.7 5.3e+03 0.00015 1e+03 1 ++
3 0.0019 -0.51 -1 -1.7 5.3e+03 1.4e-07 1e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 25/100
Considering neighbor 0/20 for current solution
Attempt 26/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.11 -1 -0.28 0 0 0 0 0 0 0 6e+03 0.073 10 1.1 ++
1 -0.79 -1.6 -0.94 0 0 0 0 0 0 0 5.7e+03 0.006 1e+02 1.1 ++
2 -0.87 -1.7 -1.1 0 0 0 0 0 0 0 5.7e+03 0.00022 1e+03 1 ++
3 -0.87 -1.7 -1.1 0 0 0 0 0 0 0 5.7e+03 4e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.047 -0.85 -1 -0.065 -0.27 0 0 0 0 0 0 0 6e+03 0.075 10 1.1 ++
1 -0.84 0.038 -2 2.2 -0.88 0 0 0 0 0 0 0 5.3e+03 0.038 1e+02 1 ++
2 -0.88 -0.067 -2.2 2.1 -1 0 0 0 0 0 0 0 5.3e+03 0.0012 1e+03 1 ++
3 -0.88 -0.067 -2.2 2.1 -1 0 0 0 0 0 0 0 5.3e+03 5.4e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 27/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.97 -0.0023 -0.81 -0.86 -0.97 0 0 0 0 0 0 0 5.6e+03 0.036 10 1.1 ++
1 -1.1 0.23 -0.81 -1.3 -1.1 0 0 0 0 0 0 0 5.5e+03 0.0062 1e+02 1.1 ++
2 -1.1 0.23 -0.81 -1.3 -1.1 0 0 0 0 0 0 0 5.5e+03 0.0002 1e+03 1 ++
3 -1.1 0.23 -0.81 -1.3 -1.1 0 0 0 0 0 0 0 5.5e+03 1.9e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.4 -0.3 -0.026 -0.17 -0.64 -0.021 -0.016 0.32 -0.58 -1 1.4 5.5e+03 0.068 10 0.91 ++
1 -0.4 -0.3 -0.026 -0.17 -0.64 -0.021 -0.016 0.32 -0.58 -1 1.4 5.5e+03 0.068 5 -7.7e+02 -
2 -0.4 -0.3 -0.026 -0.17 -0.64 -0.021 -0.016 0.32 -0.58 -1 1.4 5.5e+03 0.068 2.5 -17 -
3 -0.4 -0.3 -0.026 -0.17 -0.64 -0.021 -0.016 0.32 -0.58 -1 1.4 5.5e+03 0.068 1.2 -1 -
4 -0.13 0.0032 -0.078 -0.38 -1.3 0.52 0.0085 1.6 -1.2 -1.6 0.6 5e+03 0.0097 12 1 ++
5 -0.067 0.027 -0.3 -0.29 -1.4 0.68 0.52 1.8 -1.1 -1.7 0.37 5e+03 0.0013 1.2e+02 0.99 ++
6 -0.083 0.027 -0.31 -0.28 -1.5 0.71 0.51 1.9 -1.1 -1.7 0.38 5e+03 1.5e-05 1.2e+03 1 ++
7 -0.083 0.027 -0.31 -0.28 -1.5 0.71 0.51 1.9 -1.1 -1.7 0.38 5e+03 1.8e-09 1.2e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.8e+03 0.039 10 1.1 ++
1 5.3e+03 0.058 1e+02 0.98 ++
2 5.3e+03 0.0041 1e+03 1 ++
3 5.3e+03 0.00015 1e+04 1 ++
4 5.3e+03 1.7e-07 1e+04 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.78 -0.29 -0.18 -0.72 -0.9 1 -0.94 -0.0043 0 0 0 0 0 0 0 5.3e+03 2.5 10 1.1 ++
1 -1.2 0.24 -0.14 -1 -1.1 1.9 -0.99 -0.006 0 0 0 0 0 0 0 5.2e+03 0.53 1e+02 1.1 ++
2 -1.2 0.25 -0.14 -1 -1.2 2.1 -1 -0.0069 0 0 0 0 0 0 0 5.2e+03 0.04 1e+03 1 ++
3 -1.2 0.25 -0.14 -1 -1.2 2.1 -1 -0.007 0 0 0 0 0 0 0 5.2e+03 0.00025 1e+04 1 ++
4 -1.2 0.25 -0.14 -1 -1.2 2.1 -1 -0.007 0 0 0 0 0 0 0 5.2e+03 9.8e-09 1e+04 1 ++
Considering neighbor 3/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.9e+03 0.04 10 1.1 ++
1 5.9e+03 0.04 5 -1.1e+07 -
2 5.9e+03 0.04 2.5 -1.8e+02 -
3 5.9e+03 0.04 1.2 0.051 -
4 5.4e+03 0.043 12 1.1 ++
5 5.4e+03 0.043 2.7 -3.1e+03 -
6 5.4e+03 0.043 1.4 -17 -
7 5.3e+03 0.057 1.4 0.48 +
8 5.2e+03 0.0044 14 0.91 ++
9 5.2e+03 0.0019 14 0.89 +
10 5.2e+03 3.7e-05 1.4e+02 1 ++
11 5.2e+03 5e-08 1.4e+02 1 ++
Considering neighbor 4/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.9e+03 0.04 10 1.1 ++
1 5.2e+03 0.059 1e+02 1 ++
2 5.2e+03 0.0037 1e+03 1 ++
3 5.2e+03 0.00017 1e+04 1 ++
4 5.2e+03 2e-07 1e+04 1 ++
Considering neighbor 5/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -1 -0.046 -0.57 -0.94 -0.84 -0.0031 0 0 0 0 0 0 0 1.3 5.6e+03 2.6 10 1 ++
1 -1 -0.046 -0.57 -0.94 -0.84 -0.0031 0 0 0 0 0 0 0 1.3 5.6e+03 2.6 2.1 -2.1e+02 -
2 -1 -0.046 -0.57 -0.94 -0.84 -0.0031 0 0 0 0 0 0 0 1.3 5.6e+03 2.6 1 -2.6 -
3 -1.3 0.078 -0.39 -1.5 -1.3 -0.0064 0 0 0 0 0 0 0 0.24 5.5e+03 0.58 10 1 ++
4 -1.2 0.22 -0.51 -1.4 -1.1 -0.0059 0 0 0 0 0 0 0 0.19 5.5e+03 0.022 1e+02 0.97 ++
5 -1.2 0.21 -0.52 -1.3 -1.1 -0.0059 0 0 0 0 0 0 0 0.19 5.5e+03 5.2e-05 1e+03 1 ++
6 -1.2 0.21 -0.52 -1.3 -1.1 -0.0059 0 0 0 0 0 0 0 0.19 5.5e+03 1.4e-09 1e+03 1 ++
Considering neighbor 6/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.28 -0.05 -0.5 -0.77 -1 0.0035 -0.86 1.7 5.4e+03 2.1 1 0.87 +
1 -0.54 0.39 0.27 -1.3 -1.2 -0.0017 -1.6 0.68 5.1e+03 0.41 10 0.92 ++
2 -0.4 0.32 0.69 -1.3 -1.1 -0.0059 -1.7 0.44 5.1e+03 0.022 1e+02 0.97 ++
3 -0.4 0.3 0.65 -1.3 -1.1 -0.0058 -1.7 0.45 5.1e+03 2.5e-05 1e+03 1 ++
4 -0.4 0.3 0.65 -1.3 -1.1 -0.0058 -1.7 0.45 5.1e+03 4.8e-07 1e+03 1 ++
Considering neighbor 7/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.7 -0.27 -0.19 -0.87 -0.94 1 -0.89 0 0 0 0 0 0 0 5.4e+03 0.041 10 1.1 ++
1 -1.1 0.25 -0.15 -1.3 -1.1 1.9 -0.99 0 0 0 0 0 0 0 5.2e+03 0.012 1e+02 1.1 ++
2 -1.1 0.25 -0.16 -1.4 -1.2 2 -1 0 0 0 0 0 0 0 5.2e+03 0.0008 1e+03 1 ++
3 -1.1 0.25 -0.16 -1.4 -1.2 2 -1 0 0 0 0 0 0 0 5.2e+03 4.2e-06 1e+03 1 ++
Considering neighbor 8/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.8e+03 0.039 10 1.1 ++
1 5.3e+03 0.058 1e+02 0.98 ++
2 5.3e+03 0.0041 1e+03 1 ++
3 5.3e+03 0.00015 1e+04 1 ++
4 5.3e+03 1.7e-07 1e+04 1 ++
Considering neighbor 9/20 for current solution
Considering neighbor 10/20 for current solution
Attempt 28/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST lambda_TT Function Relgrad Radius Rho
0 -0.4 -0.69 0 -0.00076 -0.92 0 0 0 0 0 0 2 6.1e+03 2 1 0.51 +
1 -0.4 -0.69 0 -0.00076 -0.92 0 0 0 0 0 0 2 6.1e+03 2 0.5 -0.051 -
2 -0.23 -0.7 0 -0.0059 -0.42 0 0 0 0 0 0 1.9 5.8e+03 0.26 5 0.92 ++
3 -0.23 -0.7 0 -0.0059 -0.42 0 0 0 0 0 0 1.9 5.8e+03 0.26 2.5 -19 -
4 -0.23 -0.7 0 -0.0059 -0.42 0 0 0 0 0 0 1.9 5.8e+03 0.26 1.2 -0.35 -
5 -0.1 -0.72 0 -0.0021 -1.1 0 0 0 0 0 0 0.6 5.6e+03 0.15 1.2 0.87 +
6 0.08 -0.17 0 -0.0053 -1.5 0 0 0 0 0 0 0.41 5.5e+03 0.033 12 1 ++
7 0.093 -0.16 0 -0.0052 -1.5 0 0 0 0 0 0 0.45 5.5e+03 0.00013 1.2e+02 0.97 ++
8 0.093 -0.16 0 -0.0052 -1.5 0 0 0 0 0 0 0.45 5.5e+03 5.4e-07 1.2e+02 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 6e+03 0.073 10 1.1 ++
1 5.5e+03 0.031 1e+02 0.98 ++
2 5.5e+03 0.0011 1e+03 1 ++
3 5.5e+03 4.7e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST lambda_TT Function Relgrad Radius Rho
0 -0.67 -0.66 0 -1 0 0 0 0 0 0 2 6.3e+03 0.33 1 0.42 +
1 0.077 -0.89 0 0 0 0 0 0 0 0 2.1 6.2e+03 0.29 1 0.19 +
2 -0.53 -1.4 0 -0.053 0 0 0 0 0 0 3.1 6e+03 0.52 1 0.43 +
3 -0.53 -1.4 0 -0.053 0 0 0 0 0 0 3.1 6e+03 0.52 0.5 -14 -
4 -0.53 -1.4 0 -0.053 0 0 0 0 0 0 3.1 6e+03 0.52 0.25 -6.5 -
5 -0.53 -1.4 0 -0.053 0 0 0 0 0 0 3.1 6e+03 0.52 0.12 -4.2 -
6 -0.53 -1.4 0 -0.053 0 0 0 0 0 0 3.1 6e+03 0.52 0.062 -1.6 -
7 -0.53 -1.4 0 0.0095 0 0 0 0 0 0 3.1 5.9e+03 1.1 0.062 0.5 +
8 -0.53 -1.4 0 0.0095 0 0 0 0 0 0 3.1 5.9e+03 1.1 0.031 -0.15 -
9 -0.54 -1.5 0 -0.022 0 0 0 0 0 0 3.1 5.9e+03 0.33 0.031 0.14 +
10 -0.54 -1.5 0 -0.022 0 0 0 0 0 0 3.1 5.9e+03 0.33 0.016 -0.32 -
11 -0.56 -1.5 0 -0.0062 0 0 0 0 0 0 3 5.9e+03 0.19 0.16 0.94 ++
12 -0.56 -1.5 0 -0.0062 0 0 0 0 0 0 3 5.9e+03 0.19 0.078 -7.3 -
13 -0.56 -1.5 0 -0.0062 0 0 0 0 0 0 3 5.9e+03 0.19 0.039 -5.4 -
14 -0.56 -1.5 0 -0.0062 0 0 0 0 0 0 3 5.9e+03 0.19 0.02 -4.4 -
15 -0.56 -1.5 0 -0.0062 0 0 0 0 0 0 3 5.9e+03 0.19 0.0098 -3.8 -
16 -0.56 -1.5 0 -0.0062 0 0 0 0 0 0 3 5.9e+03 0.19 0.0049 -1.5 -
17 -0.56 -1.5 0 -0.0013 0 0 0 0 0 0 3 5.9e+03 0.0088 0.0049 0.86 +
18 -0.56 -1.5 0 -0.0012 0 0 0 0 0 0 3 5.9e+03 0.0032 0.049 1 ++
19 -0.58 -1.5 0 -0.0014 0 0 0 0 0 0 3 5.9e+03 0.0027 0.49 1 ++
20 -0.54 -1.4 0 -0.0054 0 0 0 0 0 0 2.5 5.9e+03 0.097 0.49 0.54 +
21 -0.57 -1.5 0 -0.024 0 0 0 0 0 0 2 5.8e+03 0.083 4.9 1.2 ++
22 -0.39 -1.2 0 -0.26 0 0 0 0 0 0 -0.73 5.8e+03 0.038 4.9 0.65 +
23 -0.39 -1.2 0 -0.26 0 0 0 0 0 0 -0.73 5.8e+03 0.038 2.4 -2.5e+02 -
24 -0.39 -1.2 0 -0.26 0 0 0 0 0 0 -0.73 5.8e+03 0.038 1.2 -3.1 -
25 0.35 -0.48 0 -1.5 0 0 0 0 0 0 0.14 5.6e+03 0.032 12 1.3 ++
26 0.24 -0.35 0 -1.6 0 0 0 0 0 0 0.53 5.6e+03 0.0079 12 0.84 +
27 0.2 -0.4 0 -1.6 0 0 0 0 0 0 0.46 5.5e+03 0.00061 1.2e+02 1.1 ++
28 0.2 -0.41 0 -1.6 0 0 0 0 0 0 0.45 5.5e+03 6.9e-06 1.2e+03 1 ++
29 0.2 -0.41 0 -1.6 0 0 0 0 0 0 0.45 5.5e+03 3.9e-10 1.2e+03 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.55 -0.69 -0.67 -1 1 1.7 5.8e+03 0.18 1 0.71 +
1 -0.33 -0.69 -1.3 -1.7 0.87 0.75 5.4e+03 0.053 10 0.98 ++
2 -0.09 -0.55 -1.1 -1.5 0.68 0.55 5.4e+03 0.0039 1e+02 1 ++
3 -0.1 -0.56 -1.1 -1.6 0.58 0.46 5.4e+03 0.0003 1e+03 1 ++
4 -0.1 -0.56 -1.1 -1.6 0.58 0.46 5.4e+03 5.4e-07 1e+03 1 ++
Considering neighbor 3/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.9e+03 2.6 10 1 ++
1 5.8e+03 0.11 1e+02 1 ++
2 5.8e+03 0.0017 1e+03 1 ++
3 5.8e+03 1.9e-07 1e+03 1 ++
Considering neighbor 4/20 for current solution
Considering neighbor 5/20 for current solution
Attempt 29/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.36 -0.19 -0.042 -0.24 -0.66 0.026 -0.0058 0.55 -0.8 -0.0024 -1 1 1.7 5.5e+03 1.9 1 0.77 +
1 -0.51 -0.16 -0.1 -0.65 -1 0.46 0.027 1.5 -0.97 -0.008 -1.3 0.83 0.99 5.1e+03 0.61 10 1.2 ++
2 -0.12 0.065 -0.42 -1.8 -0.98 0.66 0.38 1.9 -1.7 -0.0064 -2.1 -0.47 0.079 5e+03 0.046 10 0.49 +
3 -0.33 0.065 -0.52 -1.9 -1.4 0.7 0.42 2 -1.5 -0.0061 -1.5 -0.28 0.18 4.9e+03 0.039 1e+02 1.1 ++
4 -0.33 0.067 -0.46 -1.9 -1.4 0.7 0.44 2 -1.5 -0.0062 -1.6 -0.019 0.26 4.9e+03 0.0032 1e+03 1.1 ++
5 -0.31 0.062 -0.45 -1.8 -1.4 0.7 0.44 2 -1.5 -0.0062 -1.6 0.037 0.28 4.9e+03 0.00043 1e+04 1 ++
6 -0.31 0.062 -0.45 -1.8 -1.4 0.7 0.44 2 -1.5 -0.0062 -1.6 0.037 0.28 4.9e+03 3.7e-06 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:LUGGAGE-GA;TRAIN_COST_catalog:boxcox;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:boxcox [9810.284944623712, 9898.944436340431, 13]
Attempt 30/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -0.13 -1 -0.3 0 0 0 0 0 0 0 2 6e+03 0.08 10 1 ++
1 -0.13 -1 -0.3 0 0 0 0 0 0 0 2 6e+03 0.08 5 -8.3e+05 -
2 -0.13 -1 -0.3 0 0 0 0 0 0 0 2 6e+03 0.08 2.5 -42 -
3 -1.3 -1.5 -1.7 0 0 0 0 0 0 0 -0.5 5.9e+03 0.082 2.5 0.2 +
4 -1.3 -1.5 -1.7 0 0 0 0 0 0 0 -0.5 5.9e+03 0.082 1 -0.66 -
5 -0.58 -1.4 -0.71 0 0 0 0 0 0 0 -0.45 5.7e+03 0.026 1 0.82 +
6 -0.93 -1.7 -1.4 0 0 0 0 0 0 0 0.59 5.7e+03 0.026 1 0.38 +
7 -0.88 -1.7 -1.1 0 0 0 0 0 0 0 0.38 5.7e+03 0.0041 10 1.1 ++
8 -0.88 -1.7 -1.1 0 0 0 0 0 0 0 0.17 5.7e+03 0.0012 1e+02 0.98 ++
9 -0.88 -1.7 -1.1 0 0 0 0 0 0 0 0.17 5.7e+03 3.3e-06 1e+02 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -1 -0.91 -0.22 -0.0073 0 0 0 0 0 0 0 1 5.9e+03 2.6 10 1 ++
1 -1 -0.91 -0.22 -0.0073 0 0 0 0 0 0 0 1 5.9e+03 2.6 4.5 -2.8e+05 -
2 -1 -0.91 -0.22 -0.0073 0 0 0 0 0 0 0 1 5.9e+03 2.6 2.2 -1.6e+02 -
3 -1 -0.91 -0.22 -0.0073 0 0 0 0 0 0 0 1 5.9e+03 2.6 1.1 -7.3 -
4 -1 -0.91 -0.22 -0.0073 0 0 0 0 0 0 0 1 5.9e+03 2.6 0.56 -0.51 -
5 -0.85 -1.2 -0.78 -0.0068 0 0 0 0 0 0 0 1 5.7e+03 0.032 5.6 0.97 ++
6 -0.85 -1.2 -0.78 -0.0068 0 0 0 0 0 0 0 1 5.7e+03 0.032 1 -8.7 -
7 -0.99 -1.7 -1.4 -0.0027 0 0 0 0 0 0 0 -0.021 5.7e+03 0.086 1 0.45 +
8 -0.98 -1.4 -1.1 -0.0055 0 0 0 0 0 0 0 0.077 5.6e+03 0.025 10 1 ++
9 -0.99 -1.4 -1.1 -0.0055 0 0 0 0 0 0 0 0.17 5.6e+03 0.00033 1e+02 1 ++
10 -0.99 -1.4 -1.1 -0.0055 0 0 0 0 0 0 0 0.17 5.6e+03 8.7e-07 1e+02 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.33 -0.15 -0.23 -0.037 -0.46 -0.67 0.2 -0.012 -1 -0.9 1.8 5.5e+03 0.17 1 0.78 +
1 -0.44 0.26 0.15 -0.11 -0.4 -1.3 1.1 0.055 -1 -1.6 0.8 5.1e+03 0.023 10 0.99 ++
2 -0.31 0.33 0.069 -0.16 -0.31 -1.1 0.94 0.62 -1.1 -1.8 0.42 5.1e+03 0.0071 1e+02 0.95 ++
3 -0.35 0.31 0.075 -0.15 -0.41 -1.1 0.95 0.55 -1.1 -1.7 0.44 5.1e+03 0.00024 1e+03 0.99 ++
4 -0.35 0.31 0.075 -0.15 -0.41 -1.1 0.95 0.55 -1.1 -1.7 0.44 5.1e+03 2.3e-07 1e+03 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.5e+03 0.038 10 1.1 ++
1 5.4e+03 0.0096 1e+02 1.1 ++
2 5.4e+03 0.001 1e+03 1.1 ++
3 5.4e+03 1.2e-05 1e+04 1 ++
4 5.4e+03 1.6e-09 1e+04 1 ++
Considering neighbor 3/20 for current solution
Considering neighbor 4/20 for current solution
Attempt 31/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME Function Relgrad Radius Rho
0 -0.55 -0.38 -0.028 -1 -0.23 -0.026 -0.45 -0.82 5.7e+03 0.051 10 1 ++
1 -0.087 0.081 -0.27 -1 0.77 0.61 -0.96 -2.9 5.2e+03 0.019 1e+02 1.1 ++
2 -0.069 0.07 -0.3 -1.3 1.1 0.9 -1.1 -3.3 5.2e+03 0.0018 1e+03 1.1 ++
3 -0.066 0.068 -0.3 -1.3 1.1 0.95 -1.1 -3.3 5.2e+03 3.8e-05 1e+04 1 ++
4 -0.066 0.068 -0.3 -1.3 1.1 0.95 -1.1 -3.3 5.2e+03 2.2e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 32/100
Considering neighbor 0/20 for current solution
Attempt 33/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.35 -0.18 -0.041 -0.23 -0.67 0.026 -0.0067 0.56 -0.99 -0.0027 -1 1.8 5.5e+03 1.8 1 0.77 +
1 -0.46 0.0012 -0.084 -0.33 -1 0.47 0.027 1.6 -0.98 -0.0067 -1.4 0.98 5e+03 0.57 10 1.1 ++
2 0.021 0.007 -0.35 -0.34 -0.82 0.66 0.43 1.8 -1.1 -0.0062 -2.2 0.14 5e+03 0.044 10 0.58 +
3 -0.2 0.025 -0.32 -0.24 -1.2 0.71 0.47 1.9 -1.1 -0.0062 -1.7 0.29 5e+03 0.0028 1e+02 1 ++
4 -0.21 0.029 -0.3 -0.26 -1.2 0.71 0.48 1.9 -1.1 -0.0062 -1.7 0.38 4.9e+03 0.00098 1e+03 0.98 ++
5 -0.21 0.029 -0.3 -0.26 -1.2 0.71 0.48 1.9 -1.1 -0.0062 -1.7 0.38 4.9e+03 6.2e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST lambda_TT Function Relgrad Radius Rho
0 -0.18 0.11 -0.55 -0.94 0 0.0077 -0.82 0 0 0 0 0 0 2 6e+03 2.7 1 0.65 +
1 -0.18 0.11 -0.55 -0.94 0 0.0077 -0.82 0 0 0 0 0 0 2 6e+03 2.7 0.5 -0.68 -
2 -0.43 0.11 -0.047 -0.9 0 -0.006 -0.46 0 0 0 0 0 0 1.8 5.6e+03 0.32 5 1 ++
3 -0.43 0.11 -0.047 -0.9 0 -0.006 -0.46 0 0 0 0 0 0 1.8 5.6e+03 0.32 2.5 -22 -
4 -0.43 0.11 -0.047 -0.9 0 -0.006 -0.46 0 0 0 0 0 0 1.8 5.6e+03 0.32 1.2 -0.83 -
5 -0.27 0.54 -0.078 -1.4 0 0.004 -1.2 0 0 0 0 0 0 0.54 5.5e+03 0.41 1.2 0.78 +
6 -0.23 0.32 0.72 -1.2 0 -0.0061 -1.5 0 0 0 0 0 0 0.34 5.4e+03 0.19 12 0.95 ++
7 -0.21 0.31 0.69 -1.3 0 -0.0057 -1.6 0 0 0 0 0 0 0.39 5.4e+03 0.0054 1.2e+02 1 ++
8 -0.21 0.31 0.69 -1.3 0 -0.0057 -1.6 0 0 0 0 0 0 0.39 5.4e+03 3.1e-06 1.2e+02 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.44 -0.34 -0.03 -0.61 0.03 -0.014 -0.47 -1 1 1.5 5.7e+03 0.08 1 0.86 +
1 -0.076 -0.037 -0.16 -1.1 1 0.08 -1.2 -1.8 1.2 0.52 5.3e+03 0.021 10 0.9 ++
2 -0.1 -0.063 -0.55 -1.4 1.1 1.2 -1.2 -1.6 0.73 0.46 5.3e+03 0.0066 1e+02 1.1 ++
3 -0.089 -0.064 -0.62 -1.4 1.2 0.97 -1.1 -1.6 0.58 0.44 5.3e+03 0.00077 1e+03 1.1 ++
4 -0.087 -0.065 -0.63 -1.4 1.2 0.95 -1.1 -1.5 0.55 0.44 5.3e+03 3.6e-05 1e+04 1 ++
5 -0.087 -0.065 -0.63 -1.4 1.2 0.95 -1.1 -1.5 0.55 0.44 5.3e+03 3.4e-08 1e+04 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.5 -0.26 -0.4 -0.64 -0.95 -0.92 1 2 5.9e+03 0.31 1 0.59 +
1 -0.82 0.48 -0.055 -1.6 -0.83 -0.16 0.34 2 5.6e+03 0.079 1 0.61 +
2 -0.81 0.3 -0.52 -1.4 -1.3 -0.51 0.4 1 5.3e+03 0.029 10 1 ++
3 -0.46 0.32 0.16 -1.2 -1.1 -1.4 0.58 0.054 5.2e+03 0.015 10 0.9 +
4 -0.36 0.35 0.38 -1.2 -1.1 -1.7 0.62 0.59 5.2e+03 0.018 10 0.31 +
5 -0.41 0.33 0.29 -1.3 -1.1 -1.6 0.57 0.44 5.2e+03 0.0026 1e+02 1.1 ++
6 -0.41 0.32 0.29 -1.3 -1.1 -1.6 0.56 0.39 5.2e+03 0.00013 1e+03 1 ++
7 -0.41 0.32 0.29 -1.3 -1.1 -1.6 0.56 0.39 5.2e+03 1.7e-07 1e+03 1 ++
Considering neighbor 3/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.6e+03 2.3 10 1 ++
1 5.3e+03 1.1 1e+02 1 ++
2 5.3e+03 0.095 1e+03 1.1 ++
3 5.3e+03 0.0024 1e+04 1 ++
4 5.3e+03 1.9e-06 1e+04 1 ++
Considering neighbor 4/20 for current solution
Considering neighbor 5/20 for current solution
Attempt 34/100
Considering neighbor 0/20 for current solution
Attempt 35/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.26 -0.21 -0.05 -0.33 -0.9 0.16 -0.013 0.76 -1 -0.85 1 5.2e+03 0.046 10 1.1 ++
1 -0.52 0.13 -0.15 -1.5 -1.7 0.52 0.36 1.8 -1.9 -1 -0.33 5.1e+03 0.052 10 0.72 +
2 -0.41 0.11 -0.47 -1.8 -1.9 0.66 0.5 1.9 -1.3 -0.97 -0.27 5e+03 0.0033 1e+02 1 ++
3 -0.44 0.12 -0.4 -1.9 -1.9 0.71 0.57 1.9 -1.6 -1 0.12 5e+03 0.0057 1e+02 0.87 +
4 -0.42 0.11 -0.39 -1.8 -1.9 0.71 0.57 1.9 -1.5 -1 0.11 5e+03 7.3e-05 1e+03 0.99 ++
5 -0.42 0.11 -0.39 -1.8 -1.9 0.71 0.57 1.9 -1.5 -1 0.11 5e+03 1.8e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.38 -0.45 -0.9 1 0 -0.68 0 0 0 0 0 0 5.5e+03 0.041 10 1.1 ++
1 0.053 -1.2 -1 1.7 0 -1.1 0 0 0 0 0 0 5.3e+03 0.0097 1e+02 1.1 ++
2 0.057 -1.4 -1.1 1.8 0 -1.1 0 0 0 0 0 0 5.3e+03 0.00044 1e+03 1 ++
3 0.057 -1.4 -1.1 1.8 0 -1.1 0 0 0 0 0 0 5.3e+03 1.2e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.047 -1 -1 0.11 -0.27 -1 1.1 5.6e+03 0.042 10 1.1 ++
1 -0.047 -1 -1 0.11 -0.27 -1 1.1 5.6e+03 0.042 5 -1.4e+07 -
2 -0.047 -1 -1 0.11 -0.27 -1 1.1 5.6e+03 0.042 2.5 -2.1e+02 -
3 -0.047 -1 -1 0.11 -0.27 -1 1.1 5.6e+03 0.042 1.2 -0.26 -
4 -0.38 -1.1 -1.4 1.4 -1.1 -1.9 0.99 5.1e+03 0.023 12 1.1 ++
5 -0.38 -1.1 -1.4 1.4 -1.1 -1.9 0.99 5.1e+03 0.023 1.2 -12 -
6 -0.31 -1.4 -1.3 2.5 -2 -3 -0.19 5e+03 0.041 1.2 0.5 +
7 -0.18 -1.8 -1.3 2.1 -1.4 -2.9 -0.13 5e+03 0.0015 12 0.98 ++
8 -0.19 -1.9 -1.2 2.1 -1.5 -3 0.1 4.9e+03 0.002 1.2e+02 0.91 ++
9 -0.19 -1.9 -1.2 2.1 -1.5 -3 0.091 4.9e+03 1.9e-05 1.2e+03 1 ++
10 -0.19 -1.9 -1.2 2.1 -1.5 -3 0.091 4.9e+03 2.3e-08 1.2e+03 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 36/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.35 -0.19 -0.044 -0.26 -0.68 0.04 -0.0055 0.59 -0.8 -0.0024 -1 1.8 5.6e+03 2 1 0.71 +
1 -0.54 -0.2 -0.12 -0.76 -1.1 0.44 0.025 1.6 -1.1 -0.0087 -1.1 1.2 5.1e+03 0.54 10 1.2 ++
2 -0.54 -0.2 -0.12 -0.76 -1.1 0.44 0.025 1.6 -1.1 -0.0087 -1.1 1.2 5.1e+03 0.54 2.8 -76 -
3 -0.54 -0.2 -0.12 -0.76 -1.1 0.44 0.025 1.6 -1.1 -0.0087 -1.1 1.2 5.1e+03 0.54 1.4 -6.3 -
4 -0.15 0.13 -0.3 -1.6 -1.1 0.93 0.22 2.3 -1.6 -0.0071 -2.3 -0.23 5e+03 0.067 1.4 0.32 +
5 -0.28 0.032 -0.45 -1.8 -1.3 0.67 0.46 2 -1.5 -0.006 -1.6 -0.0022 4.9e+03 0.013 14 1 ++
6 -0.28 0.059 -0.47 -1.9 -1.3 0.7 0.43 2 -1.5 -0.0062 -1.6 0.29 4.9e+03 0.0094 14 0.89 +
7 -0.31 0.062 -0.46 -1.8 -1.4 0.7 0.44 2 -1.5 -0.0062 -1.6 0.27 4.9e+03 8.8e-05 1.4e+02 1 ++
8 -0.31 0.062 -0.46 -1.8 -1.4 0.7 0.44 2 -1.5 -0.0062 -1.6 0.27 4.9e+03 9.5e-07 1.4e+02 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:LUGGAGE-GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:boxcox [9808.61378438013, 9890.453315195562, 12]
Attempt 37/100
Considering neighbor 0/20 for current solution
Attempt 38/100
Considering neighbor 0/20 for current solution
Attempt 39/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.8e+03 0.037 10 1 ++
1 5.7e+03 0.0061 1e+02 1.1 ++
2 5.7e+03 0.00019 1e+03 1 ++
3 5.7e+03 1.9e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.51 -0.28 -0.32 -0.45 -0.67 0.68 -0.96 -0.96 1 2 5.7e+03 0.33 1 0.6 +
1 -0.49 0.16 -0.78 -0.68 -1.3 1.7 -0.84 -0.62 0.66 1.7 5.1e+03 0.067 10 1.1 ++
2 -0.49 0.16 -0.78 -0.68 -1.3 1.7 -0.84 -0.62 0.66 1.7 5.1e+03 0.067 5 -3.1e+03 -
3 -0.49 0.16 -0.78 -0.68 -1.3 1.7 -0.84 -0.62 0.66 1.7 5.1e+03 0.067 2.5 -28 -
4 -0.49 0.16 -0.78 -0.68 -1.3 1.7 -0.84 -0.62 0.66 1.7 5.1e+03 0.067 1.2 -0.62 -
5 -0.6 0.3 -1.1 -0.85 -1.2 1.9 -1.6 -1.3 0.41 0.4 4.9e+03 0.033 1.2 0.9 +
6 -0.55 0.46 -1.8 -0.36 -1.1 2.1 -1.5 -1.6 0.12 0.22 4.8e+03 0.0056 12 0.99 ++
7 -0.56 0.48 -2 -0.38 -1.1 2.1 -1.5 -1.6 0.032 0.22 4.8e+03 0.00028 1.2e+02 1 ++
8 -0.56 0.48 -2 -0.38 -1.1 2.1 -1.5 -1.6 0.032 0.22 4.8e+03 2.1e-06 1.2e+02 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
ASC:MALE-GA;TRAIN_COST_catalog:boxcox;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:boxcox [9665.9160139448, 9734.11562295766, 10]
Attempt 40/100
Considering neighbor 0/20 for current solution
Attempt 41/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.34 -0.1 -0.05 -0.22 -1 0.12 -0.012 0.86 -0.92 -0.75 5.2e+03 0.047 10 1.1 ++
1 -0.32 0.08 -0.21 -0.28 -1.5 0.49 0.36 1.7 -1.1 -1.1 5e+03 0.016 1e+02 1.1 ++
2 -0.29 0.075 -0.25 -0.29 -1.7 0.68 0.56 1.8 -1.1 -1.2 5e+03 0.0014 1e+03 1.1 ++
3 -0.29 0.074 -0.25 -0.29 -1.7 0.71 0.59 1.8 -1.1 -1.2 5e+03 1.8e-05 1e+04 1 ++
4 -0.29 0.074 -0.25 -0.29 -1.7 0.71 0.59 1.8 -1.1 -1.2 5e+03 3.4e-09 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.41 -0.32 -0.028 -0.19 -0.63 0.0022 -0.015 0.34 -0.42 -1 1.4 5.6e+03 0.078 1 0.87 +
1 -0.041 -0.059 -0.095 -0.63 -1.3 0.32 0.0016 1.3 -1.2 -1.3 0.81 5e+03 0.024 10 1 ++
2 -0.042 0.041 -0.37 -1.5 -1.4 0.66 0.46 2 -1.4 -1.8 0.15 4.9e+03 0.012 1e+02 0.94 ++
3 -0.18 0.059 -0.45 -1.8 -1.6 0.7 0.46 2 -1.5 -1.6 0.24 4.9e+03 0.0012 1e+03 1 ++
4 -0.18 0.06 -0.46 -1.9 -1.6 0.7 0.46 2 -1.5 -1.6 0.27 4.9e+03 3.8e-05 1e+04 1 ++
5 -0.18 0.06 -0.46 -1.9 -1.6 0.7 0.46 2 -1.5 -1.6 0.27 4.9e+03 5.1e-09 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME Function Relgrad Radius Rho
0 -0.19 -0.18 -0.056 -0.88 0.29 -0.0088 -1 -0.77 5.4e+03 0.038 10 1.1 ++
1 -0.24 0.19 -0.068 -1.4 0.9 0.75 -2.2 -1.1 5.2e+03 0.009 1e+02 1.1 ++
2 -0.24 0.2 -0.19 -1.6 1.1 0.95 -2.4 -1.2 5.2e+03 0.00085 1e+03 1 ++
3 -0.24 0.2 -0.2 -1.6 1.2 0.98 -2.4 -1.2 5.2e+03 9.5e-06 1e+04 1 ++
4 -0.24 0.2 -0.2 -1.6 1.2 0.98 -2.4 -1.2 5.2e+03 1.2e-09 1e+04 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.34 -0.19 -0.049 -0.7 0.084 -0.0035 -0.88 -0.0014 -1 1.9 5.8e+03 1.7 1 0.62 +
1 -0.32 0.082 -0.34 -1.3 1.1 0.26 -1.1 -0.0032 -1.3 1.2 5.4e+03 0.43 10 1.2 ++
2 -0.32 0.082 -0.34 -1.3 1.1 0.26 -1.1 -0.0032 -1.3 1.2 5.4e+03 0.43 1.5 -11 -
3 -0.32 0.082 -0.34 -1.3 1.1 0.26 -1.1 -0.0032 -1.3 1.2 5.4e+03 0.43 0.75 -0.66 -
4 -0.12 -0.011 -0.46 -1.3 1.1 0.5 -1.2 -0.0021 -1.7 0.48 5.3e+03 0.026 7.5 1 ++
5 -0.19 -0.087 -0.74 -1.2 1.1 1 -1.1 -0.0057 -1.5 0.41 5.3e+03 0.032 75 0.96 ++
6 -0.2 -0.072 -0.72 -1.2 1.2 0.94 -1.1 -0.0055 -1.5 0.38 5.3e+03 0.00035 7.5e+02 1 ++
7 -0.2 -0.072 -0.72 -1.2 1.2 0.94 -1.1 -0.0055 -1.5 0.38 5.3e+03 7.6e-07 7.5e+02 1 ++
Considering neighbor 3/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.45 -0.34 -0.03 -0.61 0.037 -0.014 -0.44 -1 1.5 5.7e+03 0.085 1 0.84 +
1 -0.022 0.043 -0.23 -1.1 1 0.12 -1.2 -1.8 0.54 5.3e+03 0.012 10 0.95 ++
2 -0.081 -0.081 -0.67 -1.4 1.1 1.1 -1.1 -1.5 0.43 5.3e+03 0.0022 1e+02 0.98 ++
3 -0.081 -0.077 -0.73 -1.4 1.1 0.95 -1.1 -1.5 0.38 5.3e+03 8.8e-05 1e+03 1 ++
4 -0.081 -0.077 -0.73 -1.4 1.1 0.95 -1.1 -1.5 0.38 5.3e+03 1.1e-07 1e+03 1 ++
Considering neighbor 4/20 for current solution
Considering neighbor 5/20 for current solution
Attempt 42/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.5 -0.059 -0.058 -0.22 -0.89 0.15 -0.0032 1 -0.89 -0.0037 -0.71 5.2e+03 2.5 10 1.1 ++
1 -0.43 0.08 -0.22 -0.28 -1.2 0.5 0.34 1.7 -1.1 -0.0054 -1.1 5e+03 0.62 1e+02 1.1 ++
2 -0.42 0.076 -0.26 -0.27 -1.4 0.68 0.54 1.8 -1.1 -0.0062 -1.2 5e+03 0.052 1e+03 1.1 ++
3 -0.42 0.076 -0.25 -0.27 -1.5 0.71 0.57 1.8 -1.1 -0.0063 -1.2 5e+03 0.00063 1e+04 1 ++
4 -0.42 0.076 -0.25 -0.27 -1.5 0.71 0.57 1.8 -1.1 -0.0063 -1.2 5e+03 5.6e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 43/100
Considering neighbor 0/20 for current solution
Attempt 44/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.19 0.048 -0.13 -0.045 -0.55 -0.89 0.14 -0.0037 -1 0.0058 -0.93 1 1.8 5.6e+03 2.2 1 0.82 +
1 -0.5 0.3 0.032 -0.18 -0.16 -1.2 1.1 0.11 -1.1 -0.0052 -1.5 0.62 0.9 5.2e+03 0.81 10 1 ++
2 -0.37 0.31 -0.078 -0.52 -0.021 -1.1 0.95 0.53 -1.1 -0.0058 -1.9 0.62 0.35 5.1e+03 0.018 1e+02 0.94 ++
3 -0.47 0.28 -0.057 -0.52 -0.21 -1.1 0.96 0.51 -1.1 -0.0059 -1.6 0.53 0.38 5.1e+03 0.00091 1e+03 0.97 ++
4 -0.47 0.28 -0.059 -0.52 -0.2 -1.1 0.96 0.51 -1.1 -0.0059 -1.6 0.54 0.38 5.1e+03 8.2e-06 1e+04 1 ++
5 -0.47 0.28 -0.059 -0.52 -0.2 -1.1 0.96 0.51 -1.1 -0.0059 -1.6 0.54 0.38 5.1e+03 9.2e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.5e+03 2.9 10 1.1 ++
1 5.5e+03 2.9 2 -98 -
2 5.5e+03 2.9 1 0.009 -
3 5.2e+03 0.54 10 1 ++
4 5.2e+03 0.54 1 -6.2 -
5 5.1e+03 0.22 10 0.92 ++
6 5.1e+03 0.034 1e+02 1 ++
7 5.1e+03 0.00087 1e+03 1 ++
8 5.1e+03 2.2e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.47 -0.17 -0.36 -0.37 -0.71 0.82 -1 -0.0024 -0.68 1 5.2e+03 2.6 10 1.1 ++
1 -0.89 0.34 -1.5 -0.48 -0.93 1.9 -1.9 -0.0054 -0.98 -0.44 5e+03 0.88 10 0.6 +
2 -0.88 0.49 -1.9 -0.48 -1.1 2 -1.1 -0.0065 -0.95 -0.44 4.9e+03 0.088 1e+02 0.95 ++
3 -0.96 0.47 -2 -0.42 -1.1 2 -1.7 -0.0068 -1 0.27 4.9e+03 0.05 1e+02 0.48 +
4 -0.89 0.45 -1.9 -0.38 -1.1 2 -1.5 -0.0068 -1.1 0.17 4.9e+03 0.0052 1e+03 1 ++
5 -0.9 0.46 -1.9 -0.4 -1.1 2 -1.5 -0.0068 -1 0.1 4.9e+03 0.00016 1e+04 0.99 ++
6 -0.9 0.46 -1.9 -0.4 -1.1 2 -1.5 -0.0068 -1 0.1 4.9e+03 3.8e-07 1e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 45/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.75 -0.93 -0.55 -0.0031 -1 5.6e+03 2.4 10 1 ++
1 -0.35 -0.42 -1.1 -0.0062 -2.6 5.4e+03 0.22 1e+02 1 ++
2 -0.23 -0.39 -1 -0.0054 -2.9 5.4e+03 0.009 1e+03 1 ++
3 -0.24 -0.39 -1 -0.0053 -2.9 5.4e+03 0.0063 1e+04 1 ++
4 -0.23 -0.39 -1 -0.0053 -2.9 5.4e+03 6.1e-05 1e+05 1 ++
5 -0.23 -0.39 -1 -0.0053 -2.9 5.4e+03 5.7e-05 1e+06 1 ++
6 -0.23 -0.39 -1 -0.0053 -2.9 5.4e+03 2.7e-08 1e+06 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 46/100
Considering neighbor 0/20 for current solution
Attempt 47/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.079 -1 0 -1 0 0 0 0 0 0 5.7e+03 0.036 10 1.1 ++
1 0.14 -0.53 0 -2.7 0 0 0 0 0 0 5.6e+03 0.012 1e+02 1.1 ++
2 0.19 -0.42 0 -3 0 0 0 0 0 0 5.6e+03 0.00049 1e+03 1 ++
3 0.19 -0.42 0 -3 0 0 0 0 0 0 5.6e+03 6.5e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.46 -0.18 -0.28 -0.59 -0.77 0.75 -0.86 -1 5.3e+03 0.047 10 1.1 ++
1 -0.5 0.37 0.88 -0.43 -0.97 1.8 -2.5 -2.7 4.9e+03 0.019 1e+02 1.1 ++
2 -0.54 0.44 1 -0.37 -1.1 2 -2.7 -3.1 4.8e+03 0.0014 1e+03 1 ++
3 -0.54 0.44 1 -0.36 -1.1 2 -2.8 -3.1 4.8e+03 7.5e-06 1e+04 1 ++
4 -0.54 0.44 1 -0.36 -1.1 2 -2.8 -3.1 4.8e+03 2.5e-10 1e+04 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
ASC:MALE-GA;TRAIN_COST_catalog:sqrt;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:sqrt [9708.681955643762, 9763.241642854051, 8]
Attempt 48/100
Considering neighbor 0/20 for current solution
Attempt 49/100
Considering neighbor 0/20 for current solution
Attempt 50/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 6.1e+03 0.07 10 1.1 ++
1 5.9e+03 0.0023 1e+02 1 ++
2 5.9e+03 1.1e-05 1e+03 1 ++
3 5.9e+03 2.6e-10 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.38 -0.27 -0.021 -1 -0.33 -0.026 -0.19 0 0 0 0 0 0 0 5.9e+03 0.04 10 1 ++
1 -0.87 0.072 -0.35 -2.1 0.8 0.71 -1 0 0 0 0 0 0 0 5.6e+03 0.024 1e+02 1.1 ++
2 -0.9 0.028 -0.48 -2.5 1.2 1.1 -1.1 0 0 0 0 0 0 0 5.5e+03 0.004 1e+03 1.1 ++
3 -0.9 0.027 -0.48 -2.6 1.2 1.2 -1.1 0 0 0 0 0 0 0 5.5e+03 0.00013 1e+04 1 ++
4 -0.9 0.027 -0.48 -2.6 1.2 1.2 -1.1 0 0 0 0 0 0 0 5.5e+03 1.2e-07 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.41 -0.18 -0.32 -0.45 -0.68 0.7 -1 -0.72 1 5.2e+03 0.04 10 1.1 ++
1 -0.76 0.35 -1.5 -0.72 -0.91 1.9 -1.8 -0.99 -0.33 5e+03 0.05 10 0.78 +
2 -0.78 0.48 -1.9 -0.78 -1.1 2 -1.4 -0.98 -0.25 4.9e+03 0.0018 1e+02 1.1 ++
3 -0.79 0.47 -1.9 -0.73 -1.1 2 -1.5 -1 0.1 4.9e+03 0.005 1e+03 0.91 ++
4 -0.77 0.46 -1.9 -0.72 -1.1 2 -1.5 -1 0.1 4.9e+03 6e-05 1e+04 0.99 ++
5 -0.77 0.46 -1.9 -0.72 -1.1 2 -1.5 -1 0.1 4.9e+03 1.9e-08 1e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 51/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.46 -0.68 -0.84 -0.0011 -1 1 1.9 5.8e+03 1.7 1 0.67 +
1 -0.23 -0.69 -1.5 0.00068 -1.8 0.34 0.85 5.5e+03 0.27 10 0.92 ++
2 -0.23 -0.28 -1.1 -0.006 -1.5 0.45 0.63 5.4e+03 0.05 1e+02 1 ++
3 -0.21 -0.29 -1.1 -0.0054 -1.6 0.61 0.45 5.3e+03 0.0017 1e+03 0.93 ++
4 -0.22 -0.31 -1.1 -0.0054 -1.6 0.58 0.46 5.3e+03 4.7e-05 1e+04 1 ++
5 -0.22 -0.31 -1.1 -0.0054 -1.6 0.58 0.46 5.3e+03 5.3e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 52/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME Function Relgrad Radius Rho
0 -0.41 -0.18 -0.25 -0.04 -0.64 -0.82 0.18 -0.02 -1 -0.9 5.4e+03 0.034 10 1.1 ++
1 -0.39 0.28 0.11 -0.085 -0.34 -1.1 0.73 0.35 -1 -2.9 5.1e+03 0.016 1e+02 1.1 ++
2 -0.37 0.31 0.081 -0.14 -0.41 -1.1 0.93 0.52 -1.1 -3.3 5.1e+03 0.0011 1e+03 1 ++
3 -0.37 0.32 0.08 -0.14 -0.43 -1.1 0.95 0.54 -1.1 -3.3 5.1e+03 7.5e-06 1e+04 1 ++
4 -0.37 0.32 0.08 -0.14 -0.43 -1.1 0.95 0.54 -1.1 -3.3 5.1e+03 8.9e-10 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 53/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.45 -0.24 -0.43 -0.62 -1 -0.89 1.8 5.6e+03 0.2 1 0.72 +
1 -0.65 0.58 0.39 -1.5 -1 -1.6 0.85 5.2e+03 0.028 10 0.94 ++
2 -0.21 0.3 0.48 -1.3 -1.1 -1.9 0.42 5.1e+03 0.0096 1e+02 0.95 ++
3 -0.29 0.3 0.36 -1.3 -1.1 -1.7 0.45 5.1e+03 0.0004 1e+03 0.98 ++
4 -0.29 0.3 0.36 -1.3 -1.1 -1.7 0.45 5.1e+03 6.7e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.49 -0.25 -0.4 -0.64 -0.89 -0.91 2 5.9e+03 0.31 1 0.57 +
1 -0.89 0.19 -0.48 -1.6 -0.93 -0.11 1.9 5.5e+03 0.037 1 0.83 +
2 -0.79 0.26 -0.33 -1 -1.4 -0.56 0.92 5.4e+03 0.052 1 0.77 +
3 -0.53 0.34 0.051 -1.2 -1 -1.3 0.15 5.2e+03 0.015 10 1.1 ++
4 -0.43 0.36 0.24 -1.3 -1.1 -1.6 0.45 5.2e+03 0.0062 10 0.68 +
5 -0.44 0.35 0.23 -1.3 -1.1 -1.5 0.35 5.2e+03 0.00068 1e+02 1.1 ++
6 -0.44 0.35 0.23 -1.3 -1.1 -1.5 0.35 5.2e+03 5.1e-06 1e+02 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_TIME Function Relgrad Radius Rho
0 -0.52 -0.039 -0.33 -0.81 -0.89 -0.63 5.3e+03 0.043 10 1.1 ++
1 -0.47 0.28 0.038 -1.2 -1 -1.2 5.2e+03 0.0093 1e+02 1.1 ++
2 -0.46 0.31 0.089 -1.2 -1.1 -1.2 5.2e+03 0.00033 1e+03 1 ++
3 -0.46 0.31 0.089 -1.2 -1.1 -1.2 5.2e+03 4.1e-07 1e+03 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.45 -0.25 -0.24 -0.46 -0.64 0.57 -1 -0.92 1.9 5.5e+03 0.22 1 0.73 +
1 -0.47 0.12 -0.36 -0.56 -1.1 1.6 -0.95 -1 1.2 5e+03 0.044 10 1.2 ++
2 -0.47 0.12 -0.36 -0.56 -1.1 1.6 -0.95 -1 1.2 5e+03 0.044 1.6 -11 -
3 -0.47 0.12 -0.36 -0.56 -1.1 1.6 -0.95 -1 1.2 5e+03 0.044 0.8 -0.46 -
4 -0.48 0.3 -0.4 -0.55 -1.2 1.9 -1.1 -1.5 0.42 4.9e+03 0.017 8 0.99 ++
5 -0.42 0.41 -0.45 -0.21 -1.1 1.9 -1.1 -1.7 0.33 4.9e+03 0.00079 80 0.98 ++
6 -0.42 0.41 -0.45 -0.21 -1.1 1.9 -1.1 -1.7 0.33 4.9e+03 3.4e-06 80 1 ++
Considering neighbor 3/20 for current solution
Considering neighbor 4/20 for current solution
Attempt 54/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.39 -0.27 -0.046 -1 0.066 -0.017 0 -1 0 0 0 0 0 0 5.7e+03 0.041 10 1 ++
1 0.19 -0.051 -0.68 -0.97 0.8 0.62 0 -2.8 0 0 0 0 0 0 5.5e+03 0.014 1e+02 1.1 ++
2 0.22 -0.075 -0.76 -1.2 1.1 0.85 0 -3 0 0 0 0 0 0 5.5e+03 0.00099 1e+03 1.1 ++
3 0.22 -0.076 -0.77 -1.2 1.1 0.88 0 -3 0 0 0 0 0 0 5.5e+03 1.6e-05 1e+04 1 ++
4 0.22 -0.076 -0.77 -1.2 1.1 0.88 0 -3 0 0 0 0 0 0 5.5e+03 4.3e-09 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.65 -0.25 -0.93 0.5 0 -0.0031 -1 0 0 0 0 0 0 5.6e+03 2.7 10 1 ++
1 0.11 -1.1 -0.6 1.8 0 -0.005 -2.8 0 0 0 0 0 0 5.2e+03 0.68 1e+02 1 ++
2 0.094 -1.4 -0.63 1.8 0 -0.0059 -3 0 0 0 0 0 0 5.2e+03 0.036 1e+03 1 ++
3 0.094 -1.4 -0.63 1.8 0 -0.006 -3 0 0 0 0 0 0 5.2e+03 0.00017 1e+04 1 ++
4 0.094 -1.4 -0.63 1.8 0 -0.006 -3 0 0 0 0 0 0 5.2e+03 3.4e-09 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.29 -0.66 0 -1 0 0 0 0 0 0 5.7e+03 0.039 10 1 ++
1 0.2 -0.41 0 -1.6 0 0 0 0 0 0 5.6e+03 0.0033 1e+02 1 ++
2 0.2 -0.42 0 -1.6 0 0 0 0 0 0 5.6e+03 1.3e-05 1e+03 1 ++
3 0.2 -0.42 0 -1.6 0 0 0 0 0 0 5.6e+03 2.9e-10 1e+03 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.35 -0.27 -0.022 -0.66 -0.088 -0.015 -0.3 -1 1 5.6e+03 0.057 10 1 ++
1 -0.35 -0.27 -0.022 -0.66 -0.088 -0.015 -0.3 -1 1 5.6e+03 0.057 4.5 -2.9e+05 -
2 -0.35 -0.27 -0.022 -0.66 -0.088 -0.015 -0.3 -1 1 5.6e+03 0.057 2.2 -1.3e+02 -
3 -0.35 -0.27 -0.022 -0.66 -0.088 -0.015 -0.3 -1 1 5.6e+03 0.057 1.1 -4.7 -
4 0.0079 -0.16 -0.75 -1.1 0.83 0.97 -0.86 -1.6 2.1 5.6e+03 0.16 1.1 0.13 +
5 0.0079 -0.16 -0.75 -1.1 0.83 0.97 -0.86 -1.6 2.1 5.6e+03 0.16 0.56 -1.2 -
6 0.12 -0.074 -0.72 -1.1 1.1 0.92 -0.3 -1.6 2.1 5.4e+03 0.016 0.56 0.89 +
7 0.0027 -0.18 -0.7 -1.3 1.1 0.91 -0.56 -1.7 1.5 5.4e+03 0.031 5.6 0.96 ++
8 0.0027 -0.18 -0.7 -1.3 1.1 0.91 -0.56 -1.7 1.5 5.4e+03 0.031 1.1 -1.5 -
9 0.02 0.017 -0.68 -1.3 1.1 0.92 -0.9 -1.6 0.41 5.3e+03 0.0093 11 0.95 ++
10 -0.084 -0.068 -0.65 -1.4 1.2 1 -1.1 -1.5 0.41 5.3e+03 0.00049 1.1e+02 1 ++
11 -0.084 -0.068 -0.65 -1.4 1.2 1 -1.1 -1.5 0.41 5.3e+03 5.2e-06 1.1e+02 1 ++
Considering neighbor 3/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.48 -0.37 -0.86 0.79 -1 -0.82 1 5.3e+03 0.04 10 1.1 ++
1 -0.45 -1.5 -1.4 2 -1.9 -1 -0.36 5.1e+03 0.054 10 0.67 +
2 -0.34 -1.8 -1.5 2.1 -1.3 -0.98 -0.3 5e+03 0.0023 1e+02 1 ++
3 -0.38 -1.8 -1.5 2.1 -1.6 -1 0.14 5e+03 0.0071 1e+02 0.82 +
4 -0.35 -1.8 -1.5 2.1 -1.5 -1.1 0.12 5e+03 0.00014 1e+03 0.99 ++
5 -0.35 -1.8 -1.5 2.1 -1.5 -1.1 0.12 5e+03 1.3e-06 1e+03 1 ++
Considering neighbor 4/20 for current solution
Considering neighbor 5/20 for current solution
Attempt 55/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.6e+03 0.04 10 1.1 ++
1 5.4e+03 0.0071 1e+02 1 ++
2 5.4e+03 0.0006 1e+03 1 ++
3 5.4e+03 4.6e-06 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.55 -0.27 -0.32 -0.65 -0.8 0.72 -0.95 -1 5.2e+03 0.045 10 1 ++
1 -0.55 0.38 -1.5 -0.53 -0.93 1.9 -1.4 -2.6 4.9e+03 0.019 1e+02 1.1 ++
2 -0.61 0.48 -2 -0.48 -1.1 2 -1.5 -2.9 4.8e+03 0.0013 1e+03 1.1 ++
3 -0.62 0.49 -2 -0.47 -1.1 2 -1.5 -3 4.8e+03 9.5e-06 1e+04 1 ++
4 -0.62 0.49 -2 -0.47 -1.1 2 -1.5 -3 4.8e+03 3.6e-09 1e+04 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
ASC:MALE-GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:sqrt [9684.449191472046, 9739.008878682334, 8]
Attempt 56/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.8e+03 2.4 10 1 ++
1 5.8e+03 2.4 1.5 -17 -
2 5.6e+03 0.85 1.5 0.71 +
3 5.5e+03 0.11 15 1.1 ++
4 5.5e+03 0.0067 1.5e+02 1.1 ++
5 5.5e+03 0.00029 1.5e+03 1 ++
6 5.5e+03 2.8e-06 1.5e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME lambda_COST lambda_TT Function Relgrad Radius Rho
0 -0.35 -0.19 -0.046 -0.68 0.065 -0.004 -0.88 -0.0015 -1 1 1.8 5.7e+03 1.6 1 0.7 +
1 -0.33 -0.04 -0.16 -0.96 1.1 0.085 -1 -0.0064 -1.4 0.73 1.1 5.3e+03 0.57 10 1.1 ++
2 0.05 -0.1 -0.7 -0.74 1.1 1 -1.1 -0.0056 -2.1 0.7 0.28 5.3e+03 0.069 10 0.69 +
3 -0.2 -0.059 -0.63 -1.2 1.2 0.95 -1.1 -0.0055 -1.5 0.55 0.38 5.2e+03 0.0064 1e+02 0.97 ++
4 -0.2 -0.062 -0.62 -1.1 1.2 0.95 -1.1 -0.0055 -1.6 0.55 0.44 5.2e+03 0.00054 1e+03 0.96 ++
5 -0.2 -0.062 -0.62 -1.1 1.2 0.95 -1.1 -0.0055 -1.6 0.55 0.44 5.2e+03 1.1e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 6e+03 0.041 10 1 ++
1 5.8e+03 0.023 1e+02 1.1 ++
2 5.8e+03 0.0038 1e+03 1.1 ++
3 5.8e+03 0.00012 1e+04 1 ++
4 5.8e+03 1.3e-07 1e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 57/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -1 -0.2 -0.91 0.23 -0.22 -0.0077 0 0 0 0 0 0 0 1 5.8e+03 2.6 10 1 ++
1 -1 -0.2 -0.91 0.23 -0.22 -0.0077 0 0 0 0 0 0 0 1 5.8e+03 2.6 4.5 -2.4e+05 -
2 -1 -0.2 -0.91 0.23 -0.22 -0.0077 0 0 0 0 0 0 0 1 5.8e+03 2.6 2.2 -98 -
3 -1 -0.2 -0.91 0.23 -0.22 -0.0077 0 0 0 0 0 0 0 1 5.8e+03 2.6 1.1 -3.4 -
4 -0.96 -0.53 -1.6 1.4 -1.1 -0.0053 0 0 0 0 0 0 0 1 5.4e+03 0.29 11 1 ++
5 -0.96 -0.53 -1.6 1.4 -1.1 -0.0053 0 0 0 0 0 0 0 1 5.4e+03 0.29 3.2 -2e+04 -
6 -0.96 -0.53 -1.6 1.4 -1.1 -0.0053 0 0 0 0 0 0 0 1 5.4e+03 0.29 1.6 -44 -
7 -1.3 -1.1 -2.2 3 -2 -0.0068 0 0 0 0 0 0 0 -0.32 5.3e+03 0.44 1.6 0.46 +
8 -1 -1.6 -2 2.2 -1.3 -0.0062 0 0 0 0 0 0 0 -0.31 5.2e+03 0.049 16 0.93 ++
9 -1.1 -1.7 -2 2.3 -1.5 -0.0064 0 0 0 0 0 0 0 -0.13 5.2e+03 0.0049 1.6e+02 0.92 ++
10 -1.1 -1.7 -2 2.3 -1.5 -0.0064 0 0 0 0 0 0 0 -0.15 5.2e+03 5.1e-05 1.6e+03 1 ++
11 -1.1 -1.7 -2 2.3 -1.5 -0.0064 0 0 0 0 0 0 0 -0.15 5.2e+03 5.9e-09 1.6e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.9e+03 2.5 10 1 ++
1 5.8e+03 0.56 1e+02 1.1 ++
2 5.7e+03 0.07 1e+03 1.1 ++
3 5.7e+03 0.0016 1e+04 1 ++
4 5.7e+03 9.4e-07 1e+04 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 58/100
Considering neighbor 0/20 for current solution
Attempt 59/100
Considering neighbor 0/20 for current solution
Attempt 60/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.25 -0.14 -0.034 -0.52 0.052 -0.0022 0 -0.0028 -1 0 0 0 0 0 0 5.6e+03 2.5 10 1 ++
1 0.15 -0.089 -0.71 -0.7 0.81 0.63 0 -0.0047 -1.5 0 0 0 0 0 0 5.5e+03 0.44 1e+02 1.1 ++
2 0.13 -0.081 -0.76 -0.94 1.1 0.9 0 -0.0053 -1.6 0 0 0 0 0 0 5.5e+03 0.05 1e+03 1.1 ++
3 0.13 -0.082 -0.76 -0.98 1.1 0.94 0 -0.0053 -1.6 0 0 0 0 0 0 5.5e+03 0.00074 1e+04 1 ++
4 0.13 -0.082 -0.76 -0.98 1.1 0.94 0 -0.0053 -1.6 0 0 0 0 0 0 5.5e+03 2e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 61/100
Considering neighbor 0/20 for current solution
Attempt 62/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.25 -0.22 -0.054 -0.36 -0.91 0.18 -0.013 0.8 -1 -0.85 5.2e+03 0.044 10 1.1 ++
1 -0.42 0.12 -0.22 -1.4 -1.6 0.51 0.34 1.8 -1.4 -0.98 5e+03 0.02 1e+02 1.1 ++
2 -0.42 0.11 -0.4 -1.8 -1.9 0.68 0.53 1.9 -1.5 -1 5e+03 0.0015 1e+03 1.1 ++
3 -0.42 0.11 -0.42 -1.9 -1.9 0.71 0.56 1.9 -1.5 -1 5e+03 1.7e-05 1e+04 1 ++
4 -0.42 0.11 -0.42 -1.9 -1.9 0.71 0.56 1.9 -1.5 -1 5e+03 3.3e-09 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.63 -0.038 -0.2 -0.82 -0.93 -0.0028 -0.6 5.4e+03 2.6 10 1.1 ++
1 -0.71 0.32 0.15 -1.2 -1 -0.0051 -0.98 5.3e+03 0.36 1e+02 1.1 ++
2 -0.74 0.35 0.21 -1.2 -1.1 -0.0058 -1 5.3e+03 0.015 1e+03 1 ++
3 -0.74 0.36 0.21 -1.2 -1.1 -0.0058 -1 5.3e+03 2.9e-05 1e+04 1 ++
4 -0.74 0.36 0.21 -1.2 -1.1 -0.0058 -1 5.3e+03 1.1e-08 1e+04 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 63/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.34 -0.52 0 -0.0026 -1 0 0 0 0 0 0 5.7e+03 2.5 10 1 ++
1 0.1 -0.18 0 -0.0048 -1.5 0 0 0 0 0 0 5.6e+03 0.13 1e+02 1 ++
2 0.091 -0.17 0 -0.0053 -1.6 0 0 0 0 0 0 5.6e+03 0.0022 1e+03 1 ++
3 0.091 -0.17 0 -0.0053 -1.6 0 0 0 0 0 0 5.6e+03 5e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.0065 -1 -1 0.036 0 -1 0 0 0 0 0 0 5.7e+03 0.038 10 1.1 ++
1 0.14 -1.2 -0.95 2.1 0 -2.6 0 0 0 0 0 0 5.3e+03 0.027 1e+02 0.92 ++
2 0.21 -1.4 -0.91 1.8 0 -3 0 0 0 0 0 0 5.2e+03 0.00075 1e+03 1 ++
3 0.21 -1.4 -0.91 1.8 0 -3 0 0 0 0 0 0 5.2e+03 1.9e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.35 -0.78 0 -0.65 0 0 0 0 0 0 5.7e+03 0.035 10 1.1 ++
1 0.032 -0.64 0 -1.1 0 0 0 0 0 0 5.6e+03 0.0056 1e+02 1 ++
2 0.044 -0.63 0 -1.1 0 0 0 0 0 0 5.6e+03 8.2e-05 1e+03 1 ++
3 0.044 -0.63 0 -1.1 0 0 0 0 0 0 5.6e+03 1.9e-08 1e+03 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.32 -0.7 -0.29 -1 5.6e+03 0.042 10 1 ++
1 0.1 -0.55 -2 -1.6 5.3e+03 0.0096 1e+02 1 ++
2 0.061 -0.51 -2.3 -1.7 5.3e+03 0.00053 1e+03 1 ++
3 0.061 -0.51 -2.3 -1.7 5.3e+03 2.7e-06 1e+03 1 ++
Considering neighbor 3/20 for current solution
*** New pareto solution:
ASC:no_seg;TRAIN_COST_catalog:sqrt;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:log [10585.464142054125, 10612.743985659268, 4]
Attempt 64/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.079 -1 -1 -1 5.5e+03 0.044 10 1.1 ++
1 0.022 -0.66 -1.9 -2.8 5.3e+03 0.016 1e+02 1.1 ++
2 0.052 -0.51 -2.3 -3.3 5.2e+03 0.0014 1e+03 1.1 ++
3 0.052 -0.5 -2.4 -3.3 5.2e+03 9.8e-06 1e+04 1 ++
4 0.052 -0.5 -2.4 -3.3 5.2e+03 6.4e-10 1e+04 1 ++
Considering neighbor 0/20 for current solution
*** New pareto solution:
ASC:no_seg;TRAIN_COST_catalog:sqrt;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:sqrt [10499.515524109309, 10526.795367714452, 4]
Attempt 65/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.5e+03 2.7 10 1.1 ++
1 5.4e+03 0.42 1e+02 1.1 ++
2 5.4e+03 0.038 1e+03 1.1 ++
3 5.4e+03 0.0004 1e+04 1 ++
4 5.4e+03 5.2e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 66/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.41 -0.16 -0.53 0.32 0 -0.0036 -1 0 0 0 0 0 0 5.6e+03 2.6 10 1 ++
1 0.14 -1 -0.53 2 0 -0.0051 -1.6 0 0 0 0 0 0 5.2e+03 0.87 1e+02 0.97 ++
2 0.11 -1.3 -0.61 1.9 0 -0.0059 -1.6 0 0 0 0 0 0 5.2e+03 0.039 1e+03 1 ++
3 0.11 -1.3 -0.62 1.9 0 -0.006 -1.6 0 0 0 0 0 0 5.2e+03 0.00019 1e+04 1 ++
4 0.11 -1.3 -0.62 1.9 0 -0.006 -1.6 0 0 0 0 0 0 5.2e+03 4.2e-09 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 67/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -0.7 -0.38 -0.33 -0.86 -0.94 0.73 -1 0 0 0 0 0 0 0 1 5.4e+03 0.036 10 1 ++
1 -0.7 -0.38 -0.33 -0.86 -0.94 0.73 -1 0 0 0 0 0 0 0 1 5.4e+03 0.036 1.5 -22 -
2 -1 0.068 -0.93 -1.2 -1.3 2.2 -1.4 0 0 0 0 0 0 0 0.17 5.1e+03 0.023 15 1 ++
3 -1.3 0.37 -1.7 -1.5 -1.2 2.2 -1.5 0 0 0 0 0 0 0 -0.18 5.1e+03 0.005 1.5e+02 0.98 ++
4 -1.3 0.38 -1.8 -1.5 -1.2 2.2 -1.5 0 0 0 0 0 0 0 -0.16 5.1e+03 0.00018 1.5e+03 1 ++
5 -1.3 0.38 -1.8 -1.5 -1.2 2.2 -1.5 0 0 0 0 0 0 0 -0.16 5.1e+03 1.1e-06 1.5e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.56 -0.93 -0.85 -0.64 2 5.7e+03 0.12 10 0.92 ++
1 -0.56 -0.93 -0.85 -0.64 2 5.7e+03 0.12 4.1 -1.3e+05 -
2 -0.56 -0.93 -0.85 -0.64 2 5.7e+03 0.12 2.1 -1.2e+02 -
3 -0.56 -0.93 -0.85 -0.64 2 5.7e+03 0.12 1 -9.9 -
4 -0.56 -0.93 -0.85 -0.64 2 5.7e+03 0.12 0.52 -0.53 -
5 -0.18 -0.7 -0.62 -1.2 1.7 5.5e+03 0.026 5.2 1.1 ++
6 -0.18 -0.7 -0.62 -1.2 1.7 5.5e+03 0.026 2.5 -5.6e+02 -
7 -0.18 -0.7 -0.62 -1.2 1.7 5.5e+03 0.026 1.3 -5.7 -
8 -0.14 -0.56 -1.2 -1.3 0.46 5.4e+03 0.012 1.3 0.57 +
9 -0.26 -0.78 -1.1 -1.2 0.6 5.4e+03 0.00052 13 1 ++
10 -0.26 -0.78 -1.1 -1.2 0.63 5.4e+03 2.1e-05 1.3e+02 1 ++
11 -0.26 -0.78 -1.1 -1.2 0.63 5.4e+03 1e-08 1.3e+02 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.46 -0.15 -0.21 -0.51 -0.8 1 -0.88 -0.6 5.1e+03 0.045 10 1.1 ++
1 -0.6 0.36 -0.37 -0.54 -0.96 1.7 -1.1 -1.1 5e+03 0.012 1e+02 1.1 ++
2 -0.61 0.41 -0.41 -0.53 -1.1 1.9 -1.1 -1.2 4.9e+03 0.0007 1e+03 1 ++
3 -0.61 0.41 -0.41 -0.53 -1.1 1.9 -1.1 -1.2 4.9e+03 4.3e-06 1e+03 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.7 -0.27 -0.19 -0.87 -0.94 1 -0.89 0 0 0 0 0 0 0 5.4e+03 0.041 10 1.1 ++
1 -1.1 0.25 -0.15 -1.3 -1.1 1.9 -0.99 0 0 0 0 0 0 0 5.2e+03 0.012 1e+02 1.1 ++
2 -1.1 0.25 -0.16 -1.4 -1.2 2 -1 0 0 0 0 0 0 0 5.2e+03 0.0008 1e+03 1 ++
3 -1.1 0.25 -0.16 -1.4 -1.2 2 -1 0 0 0 0 0 0 0 5.2e+03 4.2e-06 1e+03 1 ++
Considering neighbor 3/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.37 -0.072 -0.43 -0.39 -0.76 1 0 -0.6 0 0 0 0 0 0 5.4e+03 0.044 10 1.1 ++
1 -0.31 0.41 -1.3 -0.37 -0.95 1.6 0 -1 0 0 0 0 0 0 5.2e+03 0.011 1e+02 1.1 ++
2 -0.32 0.42 -1.5 -0.39 -1.1 1.7 0 -1.1 0 0 0 0 0 0 5.2e+03 0.00068 1e+03 1 ++
3 -0.32 0.42 -1.5 -0.39 -1.1 1.7 0 -1.1 0 0 0 0 0 0 5.2e+03 4.2e-06 1e+03 1 ++
Considering neighbor 4/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.5 -0.27 -0.33 -0.45 -0.67 0.68 -0.91 -0.95 2 5.8e+03 0.34 1 0.58 +
1 -0.53 0.15 -0.9 -0.78 -1.3 1.7 -1.1 -0.38 1.8 5.1e+03 0.05 10 0.95 ++
2 -0.53 0.15 -0.9 -0.78 -1.3 1.7 -1.1 -0.38 1.8 5.1e+03 0.05 5 -2.5e+03 -
3 -0.53 0.15 -0.9 -0.78 -1.3 1.7 -1.1 -0.38 1.8 5.1e+03 0.05 2.5 -13 -
4 -0.53 0.15 -0.9 -0.78 -1.3 1.7 -1.1 -0.38 1.8 5.1e+03 0.05 1.2 0.071 -
5 -0.72 0.23 -1.2 -1.1 -1.3 2 -1.5 -0.92 0.56 4.9e+03 0.031 12 0.95 ++
6 -0.51 0.46 -1.8 -0.34 -1.1 2.1 -1.5 -1.7 -0.041 4.8e+03 0.0035 12 0.82 +
7 -0.54 0.49 -2 -0.34 -1.1 2.1 -1.5 -1.7 0.21 4.8e+03 0.0038 1.2e+02 0.99 ++
8 -0.56 0.48 -2 -0.39 -1.1 2.1 -1.5 -1.6 0.22 4.8e+03 4.7e-05 1.2e+03 0.99 ++
9 -0.56 0.48 -2 -0.39 -1.1 2.1 -1.5 -1.6 0.22 4.8e+03 7.9e-09 1.2e+03 1 ++
Considering neighbor 5/20 for current solution
*** New pareto solution:
ASC:MALE-GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:boxcox [9664.011630249155, 9725.39127836073, 9]
Attempt 68/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.61 -0.8 -0.82 -0.0026 -0.64 1.1 5.5e+03 2.2 10 1.1 ++
1 -0.41 -0.49 -1.2 -0.0056 -1.1 0.56 5.4e+03 0.26 1e+02 1 ++
2 -0.37 -0.53 -1.1 -0.0054 -1.2 0.62 5.4e+03 0.0047 1e+03 1 ++
3 -0.37 -0.53 -1.1 -0.0054 -1.2 0.62 5.4e+03 4.7e-06 1e+03 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 69/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.69 -0.37 -0.35 -0.87 -0.95 0.75 -1 0 0 0 0 0 0 0 5.4e+03 0.041 10 1 ++
1 -1.2 0.3 -1.3 -1.4 -0.99 2.1 -1.4 0 0 0 0 0 0 0 5.1e+03 0.017 1e+02 1.1 ++
2 -1.3 0.34 -1.6 -1.5 -1.2 2.2 -1.5 0 0 0 0 0 0 0 5.1e+03 0.001 1e+03 1 ++
3 -1.3 0.35 -1.7 -1.5 -1.2 2.2 -1.5 0 0 0 0 0 0 0 5.1e+03 6.4e-06 1e+04 1 ++
4 -1.3 0.35 -1.7 -1.5 -1.2 2.2 -1.5 0 0 0 0 0 0 0 5.1e+03 8.5e-10 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -1 -0.032 -0.63 -0.9 -0.97 -0.003 0 0 0 0 0 0 0 5.6e+03 2.7 10 1.1 ++
1 -1.2 0.23 -0.55 -1.3 -1.1 -0.0052 0 0 0 0 0 0 0 5.5e+03 0.33 1e+02 1.1 ++
2 -1.2 0.23 -0.53 -1.3 -1.1 -0.0059 0 0 0 0 0 0 0 5.5e+03 0.013 1e+03 1 ++
3 -1.2 0.23 -0.53 -1.3 -1.1 -0.0059 0 0 0 0 0 0 0 5.5e+03 1.8e-05 1e+04 1 ++
4 -1.2 0.23 -0.53 -1.3 -1.1 -0.0059 0 0 0 0 0 0 0 5.5e+03 3.7e-11 1e+04 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 70/100
Considering neighbor 0/20 for current solution
Attempt 71/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.8e+03 0.13 1 0.74 +
1 5.3e+03 0.032 10 0.98 ++
2 5.3e+03 0.043 10 0.36 +
3 5.2e+03 0.0014 1e+02 1.1 ++
4 5.2e+03 0.0017 1e+03 0.99 ++
5 5.2e+03 9.9e-06 1e+04 1 ++
6 5.2e+03 3.1e-10 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 72/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.35 -0.78 0 -0.65 0 0 0 0 0 0 5.7e+03 0.035 10 1.1 ++
1 0.032 -0.64 0 -1.1 0 0 0 0 0 0 5.6e+03 0.0056 1e+02 1 ++
2 0.044 -0.63 0 -1.1 0 0 0 0 0 0 5.6e+03 8.2e-05 1e+03 1 ++
3 0.044 -0.63 0 -1.1 0 0 0 0 0 0 5.6e+03 1.9e-08 1e+03 1 ++
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
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.4e+03 0.045 10 1.1 ++
1 5.3e+03 0.012 1e+02 1.1 ++
2 5.3e+03 0.0009 1e+03 1 ++
3 5.3e+03 7.2e-06 1e+04 1 ++
4 5.3e+03 6.1e-10 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.51 -0.4 -0.85 0.81 -1 -0.83 5.3e+03 0.045 10 1.1 ++
1 -0.36 -1.4 -1.3 2 -1.4 -0.99 5e+03 0.017 1e+02 1.1 ++
2 -0.36 -1.8 -1.5 2.1 -1.5 -1 5e+03 0.00088 1e+03 1 ++
3 -0.36 -1.8 -1.5 2.1 -1.5 -1 5e+03 5.3e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
*** New pareto solution:
ASC:GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:linear [10019.054315209834, 10059.97408061755, 6]
Attempt 77/100
Considering neighbor 0/20 for current solution
Attempt 78/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.38 -0.27 -0.02 -1 -0.33 -0.026 -0.22 0 0 0 0 0 0 0 5.9e+03 0.04 10 1 ++
1 -0.85 0.28 0.22 -2.1 0.8 0.74 -1.8 0 0 0 0 0 0 0 5.5e+03 0.021 1e+02 1.1 ++
2 -0.9 0.24 -0.01 -2.5 1.2 1.1 -2.2 0 0 0 0 0 0 0 5.5e+03 0.0037 1e+03 1.1 ++
3 -0.91 0.23 -0.038 -2.6 1.2 1.2 -2.2 0 0 0 0 0 0 0 5.5e+03 0.00012 1e+04 1 ++
4 -0.91 0.23 -0.038 -2.6 1.2 1.2 -2.2 0 0 0 0 0 0 0 5.5e+03 1.1e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S lambda_COST Function Relgrad Radius Rho
0 -0.38 -0.27 -0.02 -1 -0.33 -0.026 -0.19 0 0 0 0 0 0 0 1 5.9e+03 0.04 10 1 ++
1 -0.38 -0.27 -0.02 -1 -0.33 -0.026 -0.19 0 0 0 0 0 0 0 1 5.9e+03 0.04 5 -1.7e+07 -
2 -0.38 -0.27 -0.02 -1 -0.33 -0.026 -0.19 0 0 0 0 0 0 0 1 5.9e+03 0.04 2.5 -3.2e+02 -
3 -0.38 -0.27 -0.02 -1 -0.33 -0.026 -0.19 0 0 0 0 0 0 0 1 5.9e+03 0.04 1.2 -0.92 -
4 -0.87 0.098 0.035 -2.1 0.81 0.89 -0.84 0 0 0 0 0 0 0 -0.25 5.6e+03 0.03 12 1.1 ++
5 -0.94 0.043 -0.38 -2.5 1.2 1.1 -1.3 0 0 0 0 0 0 0 0.45 5.6e+03 0.012 12 0.63 +
6 -0.91 0.036 -0.43 -2.6 1.2 1.2 -1.2 0 0 0 0 0 0 0 0.24 5.5e+03 0.0016 1.2e+02 1.1 ++
7 -0.91 0.034 -0.45 -2.6 1.2 1.2 -1.2 0 0 0 0 0 0 0 0.17 5.5e+03 0.00016 1.2e+03 1 ++
8 -0.91 0.034 -0.45 -2.6 1.2 1.2 -1.2 0 0 0 0 0 0 0 0.17 5.5e+03 3.3e-07 1.2e+03 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.28 -0.099 -0.21 -0.035 -0.41 -0.63 0.2 -0.0082 -0.71 -1 1 5.4e+03 0.037 10 1 ++
1 -0.35 0.22 -0.053 -0.48 -0.32 -1.1 0.73 0.33 -1.3 -1.5 -0.18 5.2e+03 0.019 10 0.81 +
2 -0.35 0.25 -0.077 -0.59 -0.48 -1.2 0.93 0.51 -1.2 -1.5 0.15 5.2e+03 0.0052 1e+02 1.2 ++
3 -0.32 0.24 -0.074 -0.57 -0.48 -1.2 0.96 0.54 -1.2 -1.6 0.36 5.2e+03 0.0012 1e+03 1.1 ++
4 -0.31 0.24 -0.074 -0.56 -0.47 -1.2 0.96 0.54 -1.1 -1.6 0.41 5.2e+03 4.5e-05 1e+04 1 ++
5 -0.31 0.24 -0.074 -0.56 -0.47 -1.2 0.96 0.54 -1.1 -1.6 0.41 5.2e+03 1.6e-07 1e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 79/100
Considering neighbor 0/20 for current solution
Attempt 80/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.9e+03 2.7 10 1 ++
1 5.5e+03 0.93 1e+02 0.97 ++
2 5.5e+03 0.053 1e+03 1 ++
3 5.5e+03 0.00034 1e+04 1 ++
4 5.5e+03 1.4e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 81/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.6e+03 0.038 10 1 ++
1 5.6e+03 0.038 0.95 -1.8 -
2 5.4e+03 0.021 9.5 0.92 ++
3 5.4e+03 0.00087 95 0.97 ++
4 5.4e+03 2.2e-05 9.5e+02 0.99 ++
5 5.4e+03 3.2e-08 9.5e+02 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 82/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.47 0.023 -0.083 -0.77 0 -0.0027 -0.62 0 0 0 0 0 0 5.6e+03 2.9 10 1.1 ++
1 -0.38 0.33 0.34 -1.1 0 -0.005 -1.1 0 0 0 0 0 0 5.4e+03 0.37 1e+02 1.1 ++
2 -0.39 0.32 0.41 -1.2 0 -0.0057 -1.1 0 0 0 0 0 0 5.4e+03 0.018 1e+03 1 ++
3 -0.39 0.32 0.41 -1.2 0 -0.0057 -1.1 0 0 0 0 0 0 5.4e+03 3.6e-05 1e+04 1 ++
4 -0.39 0.32 0.41 -1.2 0 -0.0057 -1.1 0 0 0 0 0 0 5.4e+03 1.4e-10 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 5.4e+03 3 10 1.1 ++
1 5.2e+03 0.64 1e+02 1.1 ++
2 5.2e+03 0.05 1e+03 1.1 ++
3 5.2e+03 0.00049 1e+04 1 ++
4 5.2e+03 6.4e-08 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.16 -0.055 -0.057 -0.33 -0.8 0.19 -0.0025 0.9 -1 -0.0018 -0.84 5.2e+03 2.7 10 1.1 ++
1 -0.46 0.093 -0.22 0.99 -1.4 0.52 0.38 1.7 -2.5 -0.0049 -1 5e+03 0.63 1e+02 1.1 ++
2 -0.5 0.1 -0.31 1.2 -1.5 0.69 0.54 1.9 -2.8 -0.0062 -1.1 5e+03 0.054 1e+03 1.1 ++
3 -0.5 0.1 -0.31 1.2 -1.5 0.72 0.56 1.9 -2.8 -0.0063 -1.1 5e+03 0.00056 1e+04 1 ++
4 -0.5 0.1 -0.31 1.2 -1.5 0.72 0.56 1.9 -2.8 -0.0063 -1.1 5e+03 9.2e-08 1e+04 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 83/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.35 -0.18 -0.042 -0.65 0.046 -0.0052 -1 -0.0022 -0.98 1.8 5.6e+03 1.6 1 0.76 +
1 -0.34 0.15 -0.11 -0.98 1 0.075 -1.1 -0.0048 -1.7 0.81 5.2e+03 0.56 10 1 ++
2 -0.13 0.061 -0.41 -1 1.1 1.1 -1.1 -0.0055 -1.7 0.53 5.2e+03 0.029 1e+02 0.99 ++
3 -0.18 0.071 -0.3 -1.1 1.2 0.96 -1.1 -0.0055 -1.6 0.5 5.2e+03 0.0025 1e+03 1 ++
4 -0.18 0.071 -0.3 -1.1 1.2 0.96 -1.1 -0.0055 -1.6 0.5 5.2e+03 8.6e-05 1e+04 1 ++
5 -0.18 0.071 -0.3 -1.1 1.2 0.96 -1.1 -0.0055 -1.6 0.5 5.2e+03 6.1e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.74 -0.36 -0.043 -1 -0.18 -0.017 -0.67 -0.005 0 0 0 0 0 0 0 5.7e+03 2.3 10 1 ++
1 -1 0.18 -0.054 -1.9 0.85 0.8 -0.94 -0.0052 0 0 0 0 0 0 0 5.5e+03 0.56 1e+02 1.1 ++
2 -1 0.16 -0.097 -2.2 1.2 1.1 -0.96 -0.0055 0 0 0 0 0 0 0 5.5e+03 0.071 1e+03 1.1 ++
3 -1 0.16 -0.097 -2.3 1.2 1.2 -0.96 -0.0056 0 0 0 0 0 0 0 5.5e+03 0.0017 1e+04 1 ++
4 -1 0.16 -0.097 -2.3 1.2 1.2 -0.96 -0.0056 0 0 0 0 0 0 0 5.5e+03 1.1e-06 1e+04 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 84/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. Function Relgrad Radius Rho
0 6.1e+03 0.07 10 1.1 ++
1 5.9e+03 0.0023 1e+02 1 ++
2 5.9e+03 1.1e-05 1e+03 1 ++
3 5.9e+03 2.6e-10 1e+03 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 85/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.72 -0.22 -0.94 0.44 -0.52 -0.0037 -1 5.5e+03 2.6 10 1 ++
1 -0.24 0.95 -0.84 2 -2.6 -0.0052 -2.7 5e+03 0.58 1e+02 1 ++
2 -0.27 1.1 -0.84 2.1 -2.7 -0.0061 -3.1 4.9e+03 0.036 1e+03 1 ++
3 -0.28 1.2 -0.85 2.1 -2.8 -0.0062 -3.1 4.9e+03 0.00012 1e+04 1 ++
4 -0.28 1.2 -0.85 2.1 -2.8 -0.0062 -3.1 4.9e+03 2.6e-07 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.56 -0.9 0 -0.0019 -1 0 0 0 0 0 0 5.7e+03 2.6 10 1 ++
1 0.076 -0.24 0 -0.0046 -2.8 0 0 0 0 0 0 5.5e+03 0.14 1e+02 1 ++
2 0.083 -0.18 0 -0.0052 -3 0 0 0 0 0 0 5.5e+03 0.0033 1e+03 1 ++
3 0.083 -0.18 0 -0.0052 -3 0 0 0 0 0 0 5.5e+03 1.9e-06 1e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 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
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME Function Relgrad Radius Rho
0 -0.39 -0.075 -0.066 -1 0.25 0.0045 -0.89 -0.71 5.4e+03 0.044 10 1.1 ++
1 -0.26 0.1 -0.22 -1.3 0.89 0.74 -1.1 -1.2 5.2e+03 0.0092 1e+02 1.1 ++
2 -0.24 0.1 -0.25 -1.5 1.1 0.95 -1.1 -1.2 5.2e+03 0.00096 1e+03 1.1 ++
3 -0.24 0.1 -0.25 -1.5 1.1 0.98 -1.1 -1.2 5.2e+03 1.1e-05 1e+04 1 ++
4 -0.24 0.1 -0.25 -1.5 1.1 0.98 -1.1 -1.2 5.2e+03 1.7e-09 1e+04 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 90/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.97 -0.0023 -0.81 -0.86 -0.97 0 0 0 0 0 0 0 5.6e+03 0.036 10 1.1 ++
1 -1.1 0.23 -0.81 -1.3 -1.1 0 0 0 0 0 0 0 5.5e+03 0.0062 1e+02 1.1 ++
2 -1.1 0.23 -0.81 -1.3 -1.1 0 0 0 0 0 0 0 5.5e+03 0.0002 1e+03 1 ++
3 -1.1 0.23 -0.81 -1.3 -1.1 0 0 0 0 0 0 0 5.5e+03 1.9e-07 1e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_TT_SCA beta_CAR_TT_SCA beta_SM_TT_SCAL beta_SM_TT_SCAL beta_TRAIN_TT_S beta_TRAIN_TT_S Function Relgrad Radius Rho
0 -0.59 -0.29 -0.24 -0.83 -1 0.49 -0.66 0.00091 0 0 0 0 0 0 0 5.5e+03 3 10 1.1 ++
1 -1.3 0.29 -1.2 -1.2 -0.99 2.2 -1.4 -0.0048 0 0 0 0 0 0 0 5.1e+03 0.89 1e+02 1 ++
2 -1.4 0.34 -1.6 -1.2 -1.2 2.2 -1.5 -0.0067 0 0 0 0 0 0 0 5.1e+03 0.066 1e+03 1 ++
3 -1.4 0.35 -1.7 -1.2 -1.2 2.2 -1.5 -0.0069 0 0 0 0 0 0 0 5.1e+03 0.00066 1e+04 1 ++
4 -1.4 0.35 -1.7 -1.2 -1.2 2.2 -1.5 -0.0069 0 0 0 0 0 0 0 5.1e+03 6.1e-08 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.36 -0.18 -0.22 -0.42 -0.58 0.49 -0.61 -1 5.3e+03 0.052 10 1 ++
1 -0.47 0.37 -1.4 -0.4 -0.96 2.1 -1.4 -1.5 4.8e+03 0.021 1e+02 1 ++
2 -0.55 0.45 -1.9 -0.37 -1.2 2.1 -1.5 -1.6 4.8e+03 0.0012 1e+03 1 ++
3 -0.55 0.46 -2 -0.37 -1.2 2.1 -1.5 -1.6 4.8e+03 9.3e-06 1e+04 1 ++
4 -0.55 0.46 -2 -0.37 -1.2 2.1 -1.5 -1.6 4.8e+03 3e-09 1e+04 1 ++
Considering neighbor 2/20 for current solution
*** New pareto solution:
ASC:MALE-GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:log [9676.555372350647, 9731.115059560936, 8]
Attempt 91/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.56 -0.22 -0.49 -0.78 -0.89 -0.0011 -1 1 5.4e+03 2.5 10 1 ++
1 -0.56 0.26 0.38 -1.2 -1.3 -0.0048 -2.7 0.25 5.2e+03 0.4 1e+02 0.98 ++
2 -0.56 0.33 0.51 -1.3 -1.1 -0.0057 -3 0.48 5.2e+03 0.027 1e+03 1.1 ++
3 -0.55 0.32 0.53 -1.3 -1.1 -0.0058 -3 0.58 5.2e+03 0.00048 1e+04 1 ++
4 -0.55 0.32 0.53 -1.3 -1.1 -0.0058 -3 0.58 5.2e+03 3.8e-06 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.75 0.011 0.12 -0.35 -0.58 -0.69 0.43 0.12 -0.94 -0.0027 -0.58 5.3e+03 2.7 10 1.1 ++
1 -0.7 0.31 -0.022 -0.48 -0.47 -1 0.77 0.37 -1.1 -0.0051 -0.96 5.2e+03 0.45 1e+02 1.1 ++
2 -0.72 0.33 -0.021 -0.51 -0.56 -1.1 0.95 0.52 -1.1 -0.0059 -1 5.2e+03 0.036 1e+03 1.1 ++
3 -0.72 0.33 -0.022 -0.5 -0.57 -1.1 0.97 0.55 -1.1 -0.0059 -1 5.2e+03 0.00032 1e+04 1 ++
4 -0.72 0.33 -0.022 -0.5 -0.57 -1.1 0.97 0.55 -1.1 -0.0059 -1 5.2e+03 1.1e-06 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.6 -0.071 -0.13 -1 0.37 0.049 -0.85 -0.0032 -0.63 1.1 5.4e+03 2.2 10 1.1 ++
1 -0.45 -0.021 -0.51 -1.2 0.92 0.76 -1.3 -0.005 -1.1 0.23 5.3e+03 0.42 1e+02 0.92 ++
2 -0.39 -0.028 -0.56 -1.4 1.1 0.94 -1.1 -0.0055 -1.1 0.46 5.3e+03 0.044 1e+03 1.1 ++
3 -0.38 -0.025 -0.54 -1.4 1.2 0.97 -1.1 -0.0056 -1.1 0.59 5.3e+03 0.00073 1e+04 1 ++
4 -0.38 -0.026 -0.54 -1.4 1.2 0.97 -1.1 -0.0056 -1.1 0.6 5.3e+03 1.1e-05 1e+05 1 ++
5 -0.38 -0.026 -0.54 -1.4 1.2 0.97 -1.1 -0.0056 -1.1 0.6 5.3e+03 2.5e-07 1e+05 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_TRAIN ASC_TRAIN_male B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.54 -0.19 -0.51 -0.8 -0.93 -0.0005 -1 5.4e+03 2.6 10 1.1 ++
1 -0.59 0.34 0.29 -1.1 -1 -0.0046 -2.6 5.2e+03 0.36 1e+02 1.1 ++
2 -0.6 0.36 0.44 -1.3 -1.1 -0.0057 -2.9 5.2e+03 0.021 1e+03 1 ++
3 -0.59 0.35 0.45 -1.3 -1.1 -0.0058 -2.9 5.2e+03 5.6e-05 1e+04 1 ++
4 -0.59 0.35 0.45 -1.3 -1.1 -0.0058 -2.9 5.2e+03 2.1e-07 1e+04 1 ++
Considering neighbor 3/20 for current solution
Considering neighbor 4/20 for current solution
Attempt 92/100
Considering neighbor 0/20 for current solution
Attempt 93/100
Considering neighbor 0/20 for current solution
Attempt 94/100
Considering neighbor 0/20 for current solution
Attempt 95/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.45 -0.21 -0.73 0.39 -0.73 -1 1.6 5.5e+03 0.12 1 0.83 +
1 -0.2 -0.35 -1.1 1.4 -1.1 -1.3 0.9 5.1e+03 0.022 10 1.1 ++
2 0.037 -0.36 -0.87 2 -1.1 -1.9 0.26 5e+03 0.012 10 0.82 +
3 -0.061 -0.31 -1 2 -1.1 -1.7 0.36 5e+03 0.0012 1e+02 1 ++
4 -0.064 -0.31 -1 2 -1.1 -1.7 0.38 5e+03 3.1e-05 1e+03 1 ++
5 -0.064 -0.31 -1 2 -1.1 -1.7 0.38 5e+03 3.6e-09 1e+03 1 ++
Considering neighbor 0/20 for current solution
Considering neighbor 1/20 for current solution
Attempt 96/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.92 0.17 0.15 -0.38 -0.66 -0.64 0.49 0.18 -0.85 -0.0026 -0.59 2 5.5e+03 2.3 10 0.95 ++
1 -0.92 0.17 0.15 -0.38 -0.66 -0.64 0.49 0.18 -0.85 -0.0026 -0.59 2 5.5e+03 2.3 5 -1.2e+06 -
2 -0.92 0.17 0.15 -0.38 -0.66 -0.64 0.49 0.18 -0.85 -0.0026 -0.59 2 5.5e+03 2.3 2.5 -71 -
3 -0.92 0.17 0.15 -0.38 -0.66 -0.64 0.49 0.18 -0.85 -0.0026 -0.59 2 5.5e+03 2.3 1.2 -1.4 -
4 0.21 -0.59 -0.45 0.056 -0.69 -1.1 0.96 0.76 -1.6 -0.0025 -1 0.75 5.3e+03 0.52 1.2 0.77 +
5 -0.66 0.31 0.03 -0.24 -0.51 -1.1 0.98 0.56 -0.96 -0.0058 -1.1 0.78 5.2e+03 0.062 12 0.94 ++
6 -0.7 0.31 -0.013 -0.4 -0.5 -1.1 0.97 0.56 -1.1 -0.006 -1.1 0.54 5.2e+03 0.0016 1.2e+02 0.9 ++
7 -0.69 0.31 -0.014 -0.4 -0.49 -1.1 0.97 0.56 -1.1 -0.006 -1.1 0.59 5.2e+03 4.1e-05 1.2e+03 1 ++
8 -0.69 0.31 -0.014 -0.4 -0.49 -1.1 0.97 0.56 -1.1 -0.006 -1.1 0.59 5.2e+03 1.3e-07 1.2e+03 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.38 -0.31 -0.7 0.67 -1 -0.0023 -0.86 1 5.3e+03 2.2 10 1.1 ++
1 -0.55 -1.3 -1.1 2.1 -1.8 -0.0051 -1 -0.26 5.1e+03 0.88 10 0.8 +
2 -0.47 -1.7 -1.2 2.1 -1.4 -0.0061 -1 -0.17 5e+03 0.056 1e+02 1.1 ++
3 -0.5 -1.8 -1.2 2.1 -1.5 -0.0063 -1 0.11 5e+03 0.0032 1e+03 0.96 ++
4 -0.48 -1.8 -1.2 2.1 -1.5 -0.0063 -1.1 0.11 5e+03 5.5e-05 1e+04 0.99 ++
5 -0.48 -1.8 -1.2 2.1 -1.5 -0.0063 -1.1 0.11 5e+03 2.4e-07 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.5 -0.71 -0.82 -1 1.7 5.6e+03 0.15 1 0.77 +
1 -0.35 -0.77 -1.3 -1.7 0.69 5.4e+03 0.049 10 1 ++
2 0.017 -0.47 -1 -1.7 0.53 5.3e+03 0.002 1e+02 0.96 ++
3 -0.0043 -0.48 -1.1 -1.7 0.51 5.3e+03 1.3e-05 1e+03 1 ++
4 -0.0043 -0.48 -1.1 -1.7 0.51 5.3e+03 1.8e-09 1e+03 1 ++
Considering neighbor 2/20 for current solution
Considering neighbor 3/20 for current solution
Attempt 97/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.47 0.1 -0.43 -0.97 0.51 0.33 0 -0.0026 -0.63 0 0 0 0 0 0 5.6e+03 2.7 10 1.1 ++
1 -0.042 -0.054 -0.68 -1 0.91 0.71 0 -0.0047 -1.1 0 0 0 0 0 0 5.5e+03 0.35 1e+02 1.1 ++
2 -0.05 -0.044 -0.68 -1.2 1.1 0.89 0 -0.0053 -1.1 0 0 0 0 0 0 5.5e+03 0.026 1e+03 1 ++
3 -0.05 -0.044 -0.68 -1.2 1.1 0.91 0 -0.0054 -1.1 0 0 0 0 0 0 5.5e+03 0.00018 1e+04 1 ++
4 -0.05 -0.044 -0.68 -1.2 1.1 0.91 0 -0.0054 -1.1 0 0 0 0 0 0 5.5e+03 1.1e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.26 -0.43 -0.83 1 0 -0.00098 -0.71 0 0 0 0 0 0 5.4e+03 2.9 10 1.1 ++
1 -0.054 -1.1 -0.83 1.7 0 -0.0046 -1.1 0 0 0 0 0 0 5.3e+03 0.58 1e+02 1.1 ++
2 -0.065 -1.3 -0.85 1.8 0 -0.006 -1.1 0 0 0 0 0 0 5.3e+03 0.035 1e+03 1 ++
3 -0.066 -1.3 -0.86 1.8 0 -0.0061 -1.1 0 0 0 0 0 0 5.3e+03 0.00014 1e+04 1 ++
4 -0.066 -1.3 -0.86 1.8 0 -0.0061 -1.1 0 0 0 0 0 0 5.3e+03 2.2e-09 1e+04 1 ++
Considering neighbor 1/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.4 -0.65 0 -0.0026 -0.65 0 0 0 0 0 0 5.7e+03 2.5 10 1.1 ++
1 -0.064 -0.41 0 -0.0047 -1.1 0 0 0 0 0 0 5.6e+03 0.22 1e+02 1.1 ++
2 -0.062 -0.39 0 -0.0052 -1.1 0 0 0 0 0 0 5.6e+03 0.0049 1e+03 1 ++
3 -0.062 -0.39 0 -0.0052 -1.1 0 0 0 0 0 0 5.6e+03 2.4e-06 1e+03 1 ++
Considering neighbor 2/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.29 -0.071 -0.12 -1 0.4 0.04 0 -0.65 0 0 0 0 0 0 5.6e+03 0.037 10 1.1 ++
1 0.045 -0.044 -0.64 -1.2 0.89 0.71 0 -1.1 0 0 0 0 0 0 5.5e+03 0.0076 1e+02 1.1 ++
2 0.057 -0.046 -0.68 -1.4 1.1 0.89 0 -1.1 0 0 0 0 0 0 5.5e+03 0.00067 1e+03 1.1 ++
3 0.058 -0.046 -0.69 -1.4 1.1 0.91 0 -1.1 0 0 0 0 0 0 5.5e+03 6.1e-06 1e+04 1 ++
4 0.058 -0.046 -0.69 -1.4 1.1 0.91 0 -1.1 0 0 0 0 0 0 5.5e+03 5.2e-10 1e+04 1 ++
Considering neighbor 3/20 for current solution
Considering neighbor 4/20 for current solution
Attempt 98/100
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME beta_CAR_CO_SCA beta_CAR_CO_SCA beta_SM_COST_SC beta_SM_COST_SC beta_TRAIN_COST beta_TRAIN_COST Function Relgrad Radius Rho
0 -0.21 0.028 -0.23 -0.37 -0.67 0.59 0 0.0019 -1 0 0 0 0 0 0 5.4e+03 2.9 10 1.1 ++
1 -0.17 0.36 -1.1 0.14 -1 1.8 0 -0.0042 -1.6 0 0 0 0 0 0 5.1e+03 0.81 1e+02 1.1 ++
2 -0.22 0.39 -1.4 0.24 -1.2 1.8 0 -0.0062 -1.6 0 0 0 0 0 0 5.1e+03 0.069 1e+03 1.1 ++
3 -0.23 0.39 -1.4 0.25 -1.2 1.9 0 -0.0065 -1.6 0 0 0 0 0 0 5.1e+03 0.0007 1e+04 1 ++
4 -0.23 0.39 -1.4 0.25 -1.2 1.9 0 -0.0065 -1.6 0 0 0 0 0 0 5.1e+03 7.3e-08 1e+04 1 ++
Considering neighbor 0/20 for current solution
File biogeme.toml has been parsed.
*** Estimate b22multiple_models_000000
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_one_lug ASC_CAR_several ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_one_l ASC_TRAIN_sever B_COST B_TIME lambda_COST Function Relgrad Radius Rho
0 -0.84 0.15 0.14 -0.38 -0.8 -0.64 0.51 0.19 -0.84 -0.59 2 5.5e+03 0.12 10 0.95 ++
1 -0.84 0.15 0.14 -0.38 -0.8 -0.64 0.51 0.19 -0.84 -0.59 2 5.5e+03 0.12 5 -2.4e+06 -
2 -0.84 0.15 0.14 -0.38 -0.8 -0.64 0.51 0.19 -0.84 -0.59 2 5.5e+03 0.12 2.5 -1.2e+02 -
3 -0.84 0.15 0.14 -0.38 -0.8 -0.64 0.51 0.19 -0.84 -0.59 2 5.5e+03 0.12 1.2 -2.6 -
4 0.11 -0.34 -0.00021 -0.18 -0.039 -0.91 0.37 0.87 -1.6 -1.6 0.75 5.3e+03 0.037 1.2 0.68 +
5 -0.56 0.32 -0.013 -0.44 -0.71 -1 0.85 0.53 -0.97 -1.1 0.71 5.2e+03 0.0065 12 0.95 ++
6 -0.58 0.31 -0.016 -0.41 -0.78 -1.1 0.95 0.56 -1.1 -1.1 0.56 5.2e+03 0.00051 1.2e+02 0.97 ++
7 -0.57 0.31 -0.016 -0.41 -0.78 -1.1 0.96 0.56 -1.1 -1.1 0.59 5.2e+03 1.9e-05 1.2e+03 1 ++
8 -0.57 0.31 -0.016 -0.41 -0.78 -1.1 0.96 0.56 -1.1 -1.1 0.59 5.2e+03 1.8e-09 1.2e+03 1 ++
Considering neighbor 1/20 for current solution
Considering neighbor 2/20 for current solution
Attempt 99/100
Considering neighbor 0/20 for current solution
Pareto file has been updated: b22multiple_models.pareto
Before the algorithm: 1 models, with 1 Pareto.
After the algorithm: 154 models, with 5 Pareto.
VNS algorithm completed. Postprocessing of the Pareto optimal solutions
Pareto set initialized from file with 154 elements [5 Pareto] and 0 invalid elements.
File biogeme.toml has been parsed.
*** Initial values of the parameters are obtained from the file __b22multiple_models_000000.iter
Parameter values restored from __b22multiple_models_000000.iter
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.086 -0.44 -1 1 -1.1 -1.1 5.2e+03 0.039 10 0.96 ++
1 -0.34 -1.3 -1.4 2.2 -1.4 -1 5e+03 0.0089 1e+02 1 ++
2 -0.36 -1.8 -1.5 2.1 -1.5 -1 5e+03 0.0007 1e+03 1 ++
3 -0.36 -1.9 -1.5 2.1 -1.5 -1 5e+03 1.6e-05 1e+04 1 ++
4 -0.36 -1.9 -1.5 2.1 -1.5 -1 5e+03 9.2e-09 1e+04 1 ++
Results saved in file b22multiple_models_000000.html
Results saved in file b22multiple_models_000000.pickle
File biogeme.toml has been parsed.
*** Initial values of the parameters are obtained from the file __b22multiple_models_000001.iter
Cannot read file __b22multiple_models_000001.iter. Statement is ignored.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME Function Relgrad Radius Rho
0 -0.3 -0.0062 -0.47 -0.18 -0.7 1 -1.1 -1.4 5e+03 0.04 10 1.1 ++
1 -0.5 0.4 -1.5 -0.37 -1 2 -1.4 -1.6 4.8e+03 0.013 1e+02 1.1 ++
2 -0.55 0.46 -1.9 -0.37 -1.2 2.1 -1.5 -1.6 4.8e+03 0.00068 1e+03 1 ++
3 -0.55 0.46 -2 -0.37 -1.2 2.1 -1.5 -1.6 4.8e+03 8.1e-06 1e+04 1 ++
4 -0.55 0.46 -2 -0.37 -1.2 2.1 -1.5 -1.6 4.8e+03 2.2e-09 1e+04 1 ++
Results saved in file b22multiple_models_000001.html
Results saved in file b22multiple_models_000001.pickle
File biogeme.toml has been parsed.
*** Initial values of the parameters are obtained from the file __b22multiple_models_000002.iter
Cannot read file __b22multiple_models_000002.iter. Statement is ignored.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_TRAIN B_COST B_TIME Function Relgrad Radius Rho
0 -0.26 -0.7 -1.9 -2.1 5.3e+03 0.034 10 1.1 ++
1 0.031 -0.52 -2.3 -3.2 5.2e+03 0.006 1e+02 1.1 ++
2 0.052 -0.51 -2.4 -3.3 5.2e+03 8.7e-05 1e+03 1 ++
3 0.052 -0.51 -2.4 -3.3 5.2e+03 1.8e-08 1e+03 1 ++
Results saved in file b22multiple_models_000002.html
Results saved in file b22multiple_models_000002.pickle
File biogeme.toml has been parsed.
*** Initial values of the parameters are obtained from the file __b22multiple_models_000003.iter
Cannot read file __b22multiple_models_000003.iter. Statement is ignored.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_male ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_male ASC_TRAIN_with_ B_COST B_TIME lambda_TT Function Relgrad Radius Rho
0 -0.4 -0.037 -0.55 -0.34 -0.82 1 -0.95 -1.2 0.29 5e+03 0.046 10 1.1 ++
1 -0.52 0.42 -1.6 -0.41 -1 2 -1.4 -1.5 0.25 4.8e+03 0.012 1e+02 1.1 ++
2 -0.56 0.48 -2 -0.39 -1.1 2.1 -1.5 -1.6 0.22 4.8e+03 0.00049 1e+03 1 ++
3 -0.56 0.48 -2 -0.39 -1.1 2.1 -1.5 -1.6 0.22 4.8e+03 5.5e-06 1e+03 1 ++
Results saved in file b22multiple_models_000003.html
Results saved in file b22multiple_models_000003.pickle
File biogeme.toml has been parsed.
*** Initial values of the parameters are obtained from the file __b22multiple_models_000004.iter
Cannot read file __b22multiple_models_000004.iter. Statement is ignored.
Optimization algorithm: hybrid Newton/BFGS with simple bounds [simple_bounds]
** Optimization: Newton with trust region for simple bounds
Iter. ASC_CAR ASC_CAR_with_ga ASC_TRAIN ASC_TRAIN_with_ B_COST B_HEADWAY B_TIME Function Relgrad Radius Rho
0 -0.11 -0.37 -0.6 1 -1.2 -0.0053 -1 5.2e+03 0.18 10 0.92 ++
1 -0.3 -1.2 -0.91 2.2 -1.4 -0.0057 -1.5 4.9e+03 0.45 1e+02 1.1 ++
2 -0.28 -1.7 -0.92 2.2 -1.5 -0.0061 -1.6 4.9e+03 0.0073 1e+03 1.1 ++
3 -0.28 -1.8 -0.92 2.2 -1.5 -0.0061 -1.6 4.9e+03 0.00067 1e+04 1 ++
4 -0.28 -1.8 -0.92 2.2 -1.5 -0.0061 -1.6 4.9e+03 3.4e-06 1e+04 1 ++
Results saved in file b22multiple_models_000004.html
Results saved in file b22multiple_models_000004.pickle
Pareto: 5
Condidered: 154
Removed: 17
summary, description = compile_estimation_results(
non_dominated_models, use_short_names=True
)
print(summary)
Model_000000 Model_000001 Model_000002 Model_000003 Model_000004
Number of estimated parameters 6 8 4 9 7
Sample size 6768 6768 6768 6768 6768
Final log likelihood -5003.527151 -4830.277686 -5245.757762 -4823.005819 -4932.510059
Akaike Information Criterion 10019.054301 9676.555372 10499.515524 9664.011638 9879.020118
Bayesian Information Criterion 10059.974067 9731.11506 10526.795368 9725.391287 9926.759844
ASC_CAR (t-test) -0.359 (-5.21) -0.553 (-5.26) 0.0519 (0.954) -0.564 (-5.39) -0.282 (-4.81)
ASC_CAR_with_ga (t-test) -1.86 (-9.51) -2 (-9.34) -2.02 (-9.53) -1.83 (-8.98)
ASC_TRAIN (t-test) -1.48 (-15.6) -0.375 (-4.12) -0.505 (-6.92) -0.386 (-4.24) -0.918 (-10.6)
ASC_TRAIN_with_ga (t-test) 2.08 (23.4) 2.13 (23.5) 2.08 (22.4) 2.24 (25.3)
B_COST (t-test) -1.45 (-17.9) -1.5 (-18.4) -2.35 (-18.3) -1.49 (-18.1) -1.5 (-18.2)
B_TIME (t-test) -1.03 (-10.1) -1.63 (-20.4) -3.32 (-18.3) -1.62 (-20.1) -1.59 (-20.3)
ASC_CAR_male (t-test) 0.46 (4.26) 0.48 (4.41)
ASC_TRAIN_male (t-test) -1.17 (-13.9) -1.14 (-13.4)
lambda_TT (t-test) 0.219 (3.06)
B_HEADWAY (t-test) -0.00612 (-5.82)
Explanation of the short names of the model.
for k, v in description.items():
if k != v:
print(f'{k}: {v}')
Model_000000: ASC:GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:linear
Model_000001: ASC:MALE-GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:log
Model_000002: ASC:no_seg;TRAIN_COST_catalog:sqrt;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:sqrt
Model_000003: ASC:MALE-GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:without_headway;TRAIN_TT_catalog:boxcox
Model_000004: ASC:GA;TRAIN_COST_catalog:log;TRAIN_HEADWAY_catalog:with_headway;TRAIN_TT_catalog:log
Total running time of the script: (0 minutes 57.934 seconds)