Index

_

__repr__() (uo.algorithm.algorithm.Algorithm method) (uo.problem.problem.Problem method), [1]

__str__() (uo.algorithm.algorithm.Algorithm method) (uo.problem.problem.Problem method), [1]

A

additional_statistics_control (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic property) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute)

Algorithm (class in uo.algorithm.algorithm) argument() (uo.solution.solution.Solution method), [1]

B

B (uo.algorithm.metaheuristic.moead.moead_weights.WeightSetup attribute) (uo.algorithm.metaheuristic.moead.WeightSetup attribute)

best_solution (uo.algorithm.algorithm.Algorithm property) build_weight_setup() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_weights)

C

cache (uo.solution.distance_calculation_cache_control_statistics.DistanceCalculationCacheControlStatistics property) (uo.solution.evaluation_cache_control_statistics.EvaluationCacheControlStatistics property), [1] cache_hit_count (uo.solution.distance_calculation_cache_control_statistics.DistanceCalculationCacheControlStatistics property) (uo.solution.evaluation_cache_control_statistics.EvaluationCacheControlStatistics property), [1] cache_request_count (uo.solution.distance_calculation_cache_control_statistics.DistanceCalculationCacheControlStatistics property) (uo.solution.evaluation_cache_control_statistics.EvaluationCacheControlStatistics property), [1] calculate_quality() (uo.solution.solution.Solution method), [1] calculate_quality_directly() (uo.solution.solution.Solution method), [1] copy() (uo.algorithm.algorithm.Algorithm method), [1] (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizer method) (uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic.DummyProblem method) (uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic.MAMLMetaheuristic method) (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method) (uo.algorithm.metaheuristic.metaheuristic_void.MetaheuristicVoid method) (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer method) (uo.algorithm.metaheuristic.moead.moead_variation_support.MoeadVariationSupport method) (uo.algorithm.metaheuristic.moead.moead_variation_support_binary.MoeadVariationSupportBinary method) (uo.algorithm.metaheuristic.moead.moead_variation_support_real.MoeadVariationSupportReal method) (uo.algorithm.metaheuristic.moead.MoeadOptimizer method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupport method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportBinary method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportReal method) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizer method) (uo.algorithm.metaheuristic.population_based_metaheuristic.PopulationBasedMetaheuristic method) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizer method) (uo.algorithm.metaheuristic.single_solution_metaheuristic.SingleSolutionMetaheuristic method) (uo.algorithm.metaheuristic.single_solution_metaheuristic_void.SingleSolutionMetaheuristicVoid method) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer method) (uo.algorithm.output_control.OutputControl method) (uo.problem.problem.Problem method), [1], [2], [3] (uo.solution.solution.Solution method), [1]

copy_from() (uo.solution.solution.Solution method), [1] crossover_probability (uo.algorithm.metaheuristic.moead.moead_variation_support_binary.MoeadVariationSupportBinary property) (uo.algorithm.metaheuristic.moead.moead_variation_support_real.MoeadVariationSupportReal property) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportBinary property) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportReal property) current_population (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property) (uo.algorithm.metaheuristic.population_based_metaheuristic.PopulationBasedMetaheuristic property) current_solution (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizer property) (uo.algorithm.metaheuristic.single_solution_metaheuristic.SingleSolutionMetaheuristic property)

D

determine_fields_val() (uo.algorithm.algorithm.Algorithm method) (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method)

DistanceCalculationCacheControlStatistics (class in uo.solution.distance_calculation_cache_control_statistics) DummyProblem (class in uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic)

E

elapsed_seconds() (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method) ensure_dir() (in module uo.utils.files) eta_c (uo.algorithm.metaheuristic.moead.moead_variation_support_real.MoeadVariationSupportReal property) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportReal property) eta_m (uo.algorithm.metaheuristic.moead.moead_variation_support_real.MoeadVariationSupportReal property) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportReal property)

evaluate() (uo.solution.solution.Solution method), [1] evaluation (uo.algorithm.algorithm.Algorithm property) evaluation_best_found (uo.algorithm.algorithm.Algorithm property) evaluation_cache_cs (uo.solution.solution.Solution property), [1] EvaluationCacheControlStatistics (class in uo.solution.evaluation_cache_control_statistics), [1]

F

fields (uo.algorithm.output_control.OutputControl property) fields_definitions (uo.algorithm.output_control.OutputControl property) fields_headings (uo.algorithm.output_control.OutputControl property) filter_nondominated_points() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_metrics) finish_control (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic property) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute)

fitness_value (uo.solution.quality_of_solution.QualityOfSolution property) (uo.solution.solution.Solution property), [1] fitness_values (uo.solution.quality_of_solution.QualityOfSolution property) (uo.solution.solution.Solution property), [1] from_construction_tuple() (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizer class method) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizer class method) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizer class method) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer class method)

G

generate_offspring() (uo.algorithm.metaheuristic.moead.moead_variation_support.MoeadVariationSupport method) (uo.algorithm.metaheuristic.moead.moead_variation_support_binary.MoeadVariationSupportBinary method) (uo.algorithm.metaheuristic.moead.moead_variation_support_real.MoeadVariationSupportReal method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupport method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportBinary method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportReal method)

H

hypervolume_2d() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_metrics)

I

ideal_point (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property) igd() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_metrics) increment_cache_hit_count() (uo.solution.distance_calculation_cache_control_statistics.DistanceCalculationCacheControlStatistics method) (uo.solution.evaluation_cache_control_statistics.EvaluationCacheControlStatistics method), [1] increment_cache_request_count() (uo.solution.distance_calculation_cache_control_statistics.DistanceCalculationCacheControlStatistics method) (uo.solution.evaluation_cache_control_statistics.EvaluationCacheControlStatistics method), [1] init() (uo.algorithm.algorithm.Algorithm method) (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizer method) (uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic.MAMLMetaheuristic method) (uo.algorithm.metaheuristic.metaheuristic_void.MetaheuristicVoid method) (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer method) (uo.algorithm.metaheuristic.moead.MoeadOptimizer method) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizer method) (uo.algorithm.metaheuristic.population_based_metaheuristic_void.PopulationBasedMetaheuristicVoid method) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizer method) (uo.algorithm.metaheuristic.single_solution_metaheuristic_void.SingleSolutionMetaheuristicVoid method) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer method)

init_from() (uo.solution.solution.Solution method), [1] init_random() (uo.solution.solution.Solution method), [1] is_better() (uo.solution.solution.Solution method), [1] is_feasible (uo.solution.quality_of_solution.QualityOfSolution property) (uo.solution.solution.Solution property), [1] is_minimization (uo.problem.problem.Problem attribute), [1] (uo.problem.problem.Problem property), [1] is_minimization() (uo.problem.problem.Problem method), [1] is_multi_objective (uo.problem.problem.Problem attribute), [1] (uo.problem.problem.Problem property), [1] is_multi_objective() (uo.problem.problem.Problem method), [1] iteration (uo.algorithm.algorithm.Algorithm property) iteration_best_found (uo.algorithm.algorithm.Algorithm property)

K

k_max (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer property) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute)

k_min (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer property) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute)

L

lattice_parameter_H (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property)

M

main_loop() (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method) main_loop_iteration() (uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic.MAMLMetaheuristic method) (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method) (uo.algorithm.metaheuristic.metaheuristic_void.MetaheuristicVoid method) (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer method) (uo.algorithm.metaheuristic.moead.MoeadOptimizer method) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizer method) (uo.algorithm.metaheuristic.population_based_metaheuristic_void.PopulationBasedMetaheuristicVoid method) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizer method) (uo.algorithm.metaheuristic.single_solution_metaheuristic_void.SingleSolutionMetaheuristicVoid method) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer method) MAMLMetaheuristic (class in uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic) max_cache_size (uo.solution.distance_calculation_cache_control_statistics.DistanceCalculationCacheControlStatistics property) (uo.solution.evaluation_cache_control_statistics.EvaluationCacheControlStatistics property), [1] max_number_of_replaced_neighbors (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property) Metaheuristic (class in uo.algorithm.metaheuristic.metaheuristic) MetaheuristicVoid (class in uo.algorithm.metaheuristic.metaheuristic_void) module uo uo.algorithm uo.algorithm.algorithm uo.algorithm.exact uo.algorithm.exact.total_enumeration uo.algorithm.exact.total_enumeration.te_optimizer uo.algorithm.metaheuristic uo.algorithm.metaheuristic.electro_magnetism_like_metaheuristic uo.algorithm.metaheuristic.genetic_algorithm uo.algorithm.metaheuristic.maml_metaheuristic uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic uo.algorithm.metaheuristic.metaheuristic uo.algorithm.metaheuristic.metaheuristic_void uo.algorithm.metaheuristic.moead uo.algorithm.metaheuristic.moead.moead_decomposition uo.algorithm.metaheuristic.moead.moead_metrics uo.algorithm.metaheuristic.moead.moead_optimizer uo.algorithm.metaheuristic.moead.moead_variation_support uo.algorithm.metaheuristic.moead.moead_variation_support_binary uo.algorithm.metaheuristic.moead.moead_variation_support_real uo.algorithm.metaheuristic.moead.moead_weights uo.algorithm.metaheuristic.monte_carlo uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer uo.algorithm.metaheuristic.population_based_metaheuristic uo.algorithm.metaheuristic.population_based_metaheuristic_void uo.algorithm.metaheuristic.simulated_annealing, [1] uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer uo.algorithm.metaheuristic.single_solution_metaheuristic uo.algorithm.metaheuristic.single_solution_metaheuristic_void uo.algorithm.metaheuristic.variable_neighborhood_search uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer uo.algorithm.output_control uo.problem, [1] uo.problem.problem, [1] uo.solution, [1] uo.solution.distance_calculation_cache_control_statistics uo.solution.evaluation_cache_control_statistics, [1] uo.solution.quality_of_solution uo.solution.solution, [1] uo.utils uo.utils.files uo.utils.logger

moead_variation_support (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property) MoeadOptimizer (class in uo.algorithm.metaheuristic.moead) (class in uo.algorithm.metaheuristic.moead.moead_optimizer) MoeadVariationSupport (class in uo.algorithm.metaheuristic.moead) (class in uo.algorithm.metaheuristic.moead.moead_variation_support) MoeadVariationSupportBinary (class in uo.algorithm.metaheuristic.moead) (class in uo.algorithm.metaheuristic.moead.moead_variation_support_binary) MoeadVariationSupportReal (class in uo.algorithm.metaheuristic.moead) (class in uo.algorithm.metaheuristic.moead.moead_variation_support_real) moments (uo.algorithm.output_control.OutputControl property) MonteCarloOptimizer (class in uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer) MonteCarloOptimizerConstructionParameters (class in uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer) mutation_probability (uo.algorithm.metaheuristic.moead.moead_variation_support_binary.MoeadVariationSupportBinary property) (uo.algorithm.metaheuristic.moead.moead_variation_support_real.MoeadVariationSupportReal property) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportBinary property) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportReal property)

N

name (uo.algorithm.algorithm.Algorithm attribute) (uo.problem.problem.Problem attribute), [1] (uo.problem.problem.Problem property), [1] name() (uo.problem.problem.Problem method), [1] native_representation() (uo.solution.solution.Solution method), [1]

neighborhood_by_euclidean() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_weights) neighborhood_size (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property) nondominated_archive (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property)

O

objective_value (uo.solution.quality_of_solution.QualityOfSolution property) (uo.solution.solution.Solution property), [1] objective_values (uo.solution.quality_of_solution.QualityOfSolution property) (uo.solution.solution.Solution property), [1] obtain_feasible_representation() (uo.solution.solution.Solution method), [1] optimize() (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizer method) (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method)

output_control (uo.algorithm.algorithm.Algorithm attribute) (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute) output_file (uo.algorithm.output_control.OutputControl property) OutputControl (class in uo.algorithm.output_control)

P

population_size (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property) PopulationBasedMetaheuristic (class in uo.algorithm.metaheuristic.population_based_metaheuristic) PopulationBasedMetaheuristicVoid (class in uo.algorithm.metaheuristic.population_based_metaheuristic_void) Problem (class in uo.problem.problem), [1]

problem (uo.algorithm.algorithm.Algorithm attribute) (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute)

Q

quality (uo.solution.solution.Solution property), [1]

QualityOfSolution (class in uo.solution.quality_of_solution)

R

random() (in module uo.algorithm.exact.total_enumeration.te_optimizer) (in module uo.algorithm.metaheuristic.metaheuristic) (in module uo.algorithm.metaheuristic.metaheuristic_void) (in module uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer) (in module uo.algorithm.metaheuristic.population_based_metaheuristic) (in module uo.algorithm.metaheuristic.population_based_metaheuristic_void) (in module uo.algorithm.metaheuristic.single_solution_metaheuristic) (in module uo.algorithm.metaheuristic.single_solution_metaheuristic_void) (in module uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer) (in module uo.solution.solution), [1]

random_seed (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic property) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute) (uo.solution.solution.Solution property), [1] representation (uo.solution.solution.Solution property), [1] representation_distance() (uo.solution.solution.Solution method), [1] representation_distance_cache_cs (uo.solution.solution.Solution property), [1] representation_distance_directly() (uo.solution.solution.Solution method), [1] run() (uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic.MAMLMetaheuristic method)

S

sa_neighborhood (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) sa_temperature (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) SaOptimizer (class in uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer) SaOptimizerConstructionParameters (class in uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer) should_finish() (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method) simplex_lattice_weights() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_weights) SingleSolutionMetaheuristic (class in uo.algorithm.metaheuristic.single_solution_metaheuristic) SingleSolutionMetaheuristicVoid (class in uo.algorithm.metaheuristic.single_solution_metaheuristic_void) Solution (class in uo.solution.solution), [1] solution_template (uo.algorithm.algorithm.Algorithm attribute) (uo.algorithm.algorithm.Algorithm property) (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizerConstructionParameters attribute) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute) string_rep() (uo.algorithm.algorithm.Algorithm method) (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizer method) (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method) (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer method) (uo.algorithm.metaheuristic.moead.moead_variation_support_binary.MoeadVariationSupportBinary method) (uo.algorithm.metaheuristic.moead.moead_variation_support_real.MoeadVariationSupportReal method) (uo.algorithm.metaheuristic.moead.MoeadOptimizer method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportBinary method) (uo.algorithm.metaheuristic.moead.MoeadVariationSupportReal method) (uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer.MonteCarloOptimizer method) (uo.algorithm.metaheuristic.population_based_metaheuristic.PopulationBasedMetaheuristic method) (uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer.SaOptimizer method) (uo.algorithm.metaheuristic.single_solution_metaheuristic.SingleSolutionMetaheuristic method) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer method) (uo.algorithm.output_control.OutputControl method) (uo.problem.problem.Problem method), [1] (uo.solution.distance_calculation_cache_control_statistics.DistanceCalculationCacheControlStatistics method) (uo.solution.evaluation_cache_control_statistics.EvaluationCacheControlStatistics method), [1] (uo.solution.solution.Solution method), [1]

string_representation() (uo.solution.solution.Solution method), [1]

T

tchebyscheff() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_decomposition) tchebyscheff_one() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_decomposition)

te_operations_support (uo.algorithm.exact.total_enumeration.te_optimizer.TeOptimizerConstructionParameters attribute) TeOptimizer (class in uo.algorithm.exact.total_enumeration.te_optimizer) TeOptimizerConstructionParameters (class in uo.algorithm.exact.total_enumeration.te_optimizer)

U

uo module uo.algorithm module uo.algorithm.algorithm module uo.algorithm.exact module uo.algorithm.exact.total_enumeration module uo.algorithm.exact.total_enumeration.te_optimizer module uo.algorithm.metaheuristic module uo.algorithm.metaheuristic.electro_magnetism_like_metaheuristic module uo.algorithm.metaheuristic.genetic_algorithm module uo.algorithm.metaheuristic.maml_metaheuristic module uo.algorithm.metaheuristic.maml_metaheuristic.maml_metaheuristic module uo.algorithm.metaheuristic.metaheuristic module uo.algorithm.metaheuristic.metaheuristic_void module uo.algorithm.metaheuristic.moead module uo.algorithm.metaheuristic.moead.moead_decomposition module uo.algorithm.metaheuristic.moead.moead_metrics module uo.algorithm.metaheuristic.moead.moead_optimizer module uo.algorithm.metaheuristic.moead.moead_variation_support module uo.algorithm.metaheuristic.moead.moead_variation_support_binary module uo.algorithm.metaheuristic.moead.moead_variation_support_real module uo.algorithm.metaheuristic.moead.moead_weights module

uo.algorithm.metaheuristic.monte_carlo module uo.algorithm.metaheuristic.monte_carlo.monte_carlo_optimizer module uo.algorithm.metaheuristic.population_based_metaheuristic module uo.algorithm.metaheuristic.population_based_metaheuristic_void module uo.algorithm.metaheuristic.simulated_annealing module, [1] uo.algorithm.metaheuristic.simulated_annealing.sa_optimizer module uo.algorithm.metaheuristic.single_solution_metaheuristic module uo.algorithm.metaheuristic.single_solution_metaheuristic_void module uo.algorithm.metaheuristic.variable_neighborhood_search module uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer module uo.algorithm.output_control module uo.problem module, [1] uo.problem.problem module, [1] uo.solution module, [1] uo.solution.distance_calculation_cache_control_statistics module uo.solution.evaluation_cache_control_statistics module, [1] uo.solution.quality_of_solution module uo.solution.solution module, [1] uo.utils module uo.utils.files module uo.utils.logger module update_additional_statistics_if_required() (uo.algorithm.metaheuristic.metaheuristic.Metaheuristic method)

V

vns_ls_support (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer property) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute) vns_shaking_support (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizer property) (uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer.VnsOptimizerConstructionParameters attribute)

VnsOptimizer (class in uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer) VnsOptimizerConstructionParameters (class in uo.algorithm.metaheuristic.variable_neighborhood_search.vns_optimizer)

W

W (uo.algorithm.metaheuristic.moead.moead_weights.WeightSetup attribute) (uo.algorithm.metaheuristic.moead.WeightSetup attribute) weight_setup (uo.algorithm.metaheuristic.moead.moead_optimizer.MoeadOptimizer property) (uo.algorithm.metaheuristic.moead.MoeadOptimizer property) weights_2d_uniform() (in module uo.algorithm.metaheuristic.moead) (in module uo.algorithm.metaheuristic.moead.moead_weights) WeightSetup (class in uo.algorithm.metaheuristic.moead) (class in uo.algorithm.metaheuristic.moead.moead_weights)

write_after_algorithm (uo.algorithm.output_control.OutputControl property) write_after_evaluation (uo.algorithm.output_control.OutputControl property) write_after_iteration (uo.algorithm.output_control.OutputControl property) write_after_step_in_iteration (uo.algorithm.output_control.OutputControl property) write_before_algorithm (uo.algorithm.output_control.OutputControl property) write_before_evaluation (uo.algorithm.output_control.OutputControl property) write_before_iteration (uo.algorithm.output_control.OutputControl property) write_before_step_in_iteration (uo.algorithm.output_control.OutputControl property)