metaheuristic_designer

• metaheuristic_designer package
  • Subpackages
    • metaheuristic_designer.algorithms package
      • Submodules
      • metaheuristic_designer.algorithms.algorithm_selection module
      • metaheuristic_designer.algorithms.memetic_algorithm module
      • metaheuristic_designer.algorithms.strategy_selection module
      • Module contents
    • metaheuristic_designer.benchmarks package
      • Submodules
      • metaheuristic_designer.benchmarks.benchmark_funcs module
      • metaheuristic_designer.benchmarks.classic_problems module
      • metaheuristic_designer.benchmarks.img_funcs module
      • Module contents
    • metaheuristic_designer.constraint_handlers package
      • Submodules
      • metaheuristic_designer.constraint_handlers.bounce_bound_constraint module
      • metaheuristic_designer.constraint_handlers.clip_bound_constraint module
      • metaheuristic_designer.constraint_handlers.composite_constraint module
      • metaheuristic_designer.constraint_handlers.cycle_bound_constraint module
      • metaheuristic_designer.constraint_handlers.extended_constraint module
      • metaheuristic_designer.constraint_handlers.linear_bound_penalty_constraint module
      • Module contents
    • metaheuristic_designer.encodings package
      • Subpackages
      • Submodules
      • metaheuristic_designer.encodings.composite_encoding module
      • metaheuristic_designer.encodings.image_encoding module
      • metaheuristic_designer.encodings.matrix_encoding module
      • metaheuristic_designer.encodings.parameter_extending_encoding module
      • metaheuristic_designer.encodings.sigmoid_encoding module
      • metaheuristic_designer.encodings.type_cast_encoding module
      • Module contents
    • metaheuristic_designer.initializers package
      • Submodules
      • metaheuristic_designer.initializers.direct_initializer module
      • metaheuristic_designer.initializers.exponential_initializer module
      • metaheuristic_designer.initializers.extended_initializer module
      • metaheuristic_designer.initializers.gaussian_initializer module
      • metaheuristic_designer.initializers.perm_initializer module
      • metaheuristic_designer.initializers.seed_initializer module
      • metaheuristic_designer.initializers.uniform_initializer module
      • Module contents
    • metaheuristic_designer.operators package
      • Subpackages
      • Submodules
      • metaheuristic_designer.operators.BO_operator module
      • metaheuristic_designer.operators.adaptive_operator module
      • metaheuristic_designer.operators.branch_operator module
      • metaheuristic_designer.operators.composite_operator module
      • metaheuristic_designer.operators.extended_operator module
      • metaheuristic_designer.operators.masked_operator module
      • Module contents
    • metaheuristic_designer.parameter_schedules package
      • Submodules
      • metaheuristic_designer.parameter_schedules.exponential_decay_schedule module
      • metaheuristic_designer.parameter_schedules.linear_schedule module
      • metaheuristic_designer.parameter_schedules.logistic_schedule module
      • metaheuristic_designer.parameter_schedules.random_schedule module
      • metaheuristic_designer.parameter_schedules.step_schedule module
      • metaheuristic_designer.parameter_schedules.threshold_schedule module
      • Module contents
    • metaheuristic_designer.parent_selection package
      • Submodules
      • metaheuristic_designer.parent_selection.parent_selection module
      • metaheuristic_designer.parent_selection.parent_selection_functions module
      • Module contents
    • metaheuristic_designer.reporters package
      • Submodules
      • metaheuristic_designer.reporters.create_reporter module
      • metaheuristic_designer.reporters.silent_reporter module
      • metaheuristic_designer.reporters.tqdm_reporter module
      • metaheuristic_designer.reporters.verbose_reporter module
      • Module contents
    • metaheuristic_designer.simple package
      • Submodules
      • metaheuristic_designer.simple.bayesian_optimization module
      • metaheuristic_designer.simple.differential_evolution module
      • metaheuristic_designer.simple.evolution_strategy module
      • metaheuristic_designer.simple.genetic_algorithm module
      • metaheuristic_designer.simple.hill_climb module
      • metaheuristic_designer.simple.local_search module
      • metaheuristic_designer.simple.particle_swarm module
      • metaheuristic_designer.simple.random_search module
      • metaheuristic_designer.simple.simulated_annealing module
      • Module contents
    • metaheuristic_designer.strategies package
      • Subpackages
      • Submodules
      • metaheuristic_designer.strategies.hill_climb module
      • metaheuristic_designer.strategies.local_search module
      • metaheuristic_designer.strategies.no_search module
      • metaheuristic_designer.strategies.static_population module
      • metaheuristic_designer.strategies.variable_population module
      • Module contents
    • metaheuristic_designer.survivor_selection package
      • Submodules
      • metaheuristic_designer.survivor_selection.survivor_selection module
      • metaheuristic_designer.survivor_selection.survivor_selection_functions module
      • Module contents
  • Submodules
  • metaheuristic_designer.algorithm module
    • TerminationException
    • Algorithm
      • Algorithm.initializer
      • Algorithm.iterations
      • Algorithm.evaluations
      • Algorithm.patience_left
      • Algorithm.progress
      • Algorithm.population
      • Algorithm.gather_parameters()
      • Algorithm.best_solution()
      • Algorithm.best_individual()
      • Algorithm.restart()
      • Algorithm.initialize()
      • Algorithm.step()
      • Algorithm.resume()
      • Algorithm.optimize()
      • Algorithm.get_state()
      • Algorithm.store_state()
      • Algorithm.to_pandas()
      • Algorithm.to_pandas_full_objective()
  • metaheuristic_designer.checkpointer module
    • Checkpointer
      • Checkpointer.restart()
      • Checkpointer.checkpoint()
      • Checkpointer.save()
      • Checkpointer.load()
  • metaheuristic_designer.constraint_handler module
    • ConstraintHandler
      • ConstraintHandler.repair_solution()
      • ConstraintHandler.penalty()
      • ConstraintHandler.get_state()
    • ConstraintHandlerFromLambda
      • ConstraintHandlerFromLambda.repair_solution()
      • ConstraintHandlerFromLambda.penalty()
    • NullConstraint
      • NullConstraint.repair_solution()
      • NullConstraint.penalty()
    • PenalizeConstraint
      • PenalizeConstraint.repair_solution()
    • RepairConstraint
      • RepairConstraint.penalty()
  • metaheuristic_designer.encoding module
    • Encoding
      • Encoding.gather_params()
      • Encoding.encode()
      • Encoding.decode()
      • Encoding.get_state()
    • DefaultEncoding
      • DefaultEncoding.encode()
      • DefaultEncoding.decode()
    • EncodingFromLambda
      • EncodingFromLambda.encode()
      • EncodingFromLambda.decode()
  • metaheuristic_designer.history_tracker module
    • HistoryTracker
      • HistoryTracker.restart()
      • HistoryTracker.step()
      • HistoryTracker.to_pandas()
      • HistoryTracker.to_pandas_full_objective()
      • HistoryTracker.get_state()
  • metaheuristic_designer.initializer module
    • Initializer
      • Initializer.generate_random()
      • Initializer.generate_individual()
      • Initializer.generate_population()
      • Initializer.get_state()
    • InitializerFromLambda
      • InitializerFromLambda.generate_random()
  • metaheuristic_designer.objective_function module
    • ObjectiveFunc
      • ObjectiveFunc.fitness()
      • ObjectiveFunc.objective()
      • ObjectiveFunc.repair_solution()
      • ObjectiveFunc.add_parameter_constraints()
      • ObjectiveFunc.restart()
      • ObjectiveFunc.get_state()
    • NullObjectiveFunc
      • NullObjectiveFunc.objective()
    • ObjectiveFromLambda
      • ObjectiveFromLambda.objective()
  • metaheuristic_designer.operator module
    • Operator
      • Operator.gather_params()
      • Operator.evolve()
      • Operator.step()
      • Operator.get_state()
    • NullOperator
      • NullOperator.evolve()
    • OperatorFromLambda
      • OperatorFromLambda.evolve()
  • metaheuristic_designer.parametrizable_mixin module
    • ParametrizableMixin
      • ParametrizableMixin.store_kwargs()
      • ParametrizableMixin.step()
      • ParametrizableMixin.update_kwargs()
      • ParametrizableMixin.get_params()
      • ParametrizableMixin.params
  • metaheuristic_designer.parent_selection_base module
    • ParentSelection
      • ParentSelection.gather_params()
      • ParentSelection.select()
      • ParentSelection.get_state()
    • NullParentSelection
      • NullParentSelection.select()
    • ParentSelectionFromLambda
      • ParentSelectionFromLambda.select()
  • metaheuristic_designer.population module
    • Population
      • Population.best_individual()
      • Population.best_solution()
      • Population.update_genotype()
      • Population.take_selection()
      • Population.apply_selection()
      • Population.take_slice()
      • Population.apply_slice()
      • Population.join_populations()
      • Population.join()
      • Population.sort_population()
      • Population.update_best_from_parents()
      • Population.step()
      • Population.repeat()
      • Population.calculate_fitness()
      • Population.repair_solutions()
      • Population.decode()
      • Population.decode_params()
      • Population.encode()
      • Population.get_state()
      • Population.debug_repr()
  • metaheuristic_designer.reporter module
    • Reporter
      • Reporter.log_init()
      • Reporter.log_step()
      • Reporter.log_end()
  • metaheuristic_designer.schedulable_parameter module
    • SchedulableParameter
      • SchedulableParameter.evaluate()
    • ParameterFromLambda
      • ParameterFromLambda.evaluate()
  • metaheuristic_designer.search_strategy module
    • SearchStrategy
      • SearchStrategy.population_size
      • SearchStrategy.gather_parameters()
      • SearchStrategy.best_solution()
      • SearchStrategy.initialize()
      • SearchStrategy.evaluate_population()
      • SearchStrategy.select_parents()
      • SearchStrategy.perturb()
      • SearchStrategy.repair_population()
      • SearchStrategy.select_individuals()
      • SearchStrategy.step()
      • SearchStrategy.get_state()
      • SearchStrategy.extra_step_info()
      • SearchStrategy.extra_report()
    • SearchStrategyFromLambda
  • metaheuristic_designer.stopping_condition module
    • StoppingCondition
      • StoppingCondition.condition_str
      • StoppingCondition.progress_metric_str
      • StoppingCondition.max_iterations
      • StoppingCondition.max_evaluations
      • StoppingCondition.real_time_limit
      • StoppingCondition.cpu_time_limit
      • StoppingCondition.objective_target
      • StoppingCondition.max_patience
      • StoppingCondition.optimization_mode
      • StoppingCondition.restart()
      • StoppingCondition.step()
      • StoppingCondition.is_finished()
      • StoppingCondition.get_progress()
      • StoppingCondition.get_state()
    • parse_stopping_cond()
    • process_condition()
    • process_progress()
  • metaheuristic_designer.survivor_selection_base module
    • SurvivorSelection
      • SurvivorSelection.gather_params()
      • SurvivorSelection.select()
      • SurvivorSelection.get_state()
    • NullSurvivorSelection
      • NullSurvivorSelection.select()
    • SurvivorSelectionFromLambda
      • SurvivorSelectionFromLambda.select()
  • metaheuristic_designer.utils module
    • NumpyEncoder
      • NumpyEncoder.default()
    • check_random_state()
    • per_individual()
    • per_individual_list()
  • Module contents
    • check_random_state()
    • ObjectiveFunc
      • ObjectiveFunc.fitness()
      • ObjectiveFunc.objective()
      • ObjectiveFunc.repair_solution()
      • ObjectiveFunc.add_parameter_constraints()
      • ObjectiveFunc.restart()
      • ObjectiveFunc.get_state()
    • NullObjectiveFunc
      • NullObjectiveFunc.objective()
    • ObjectiveFromLambda
      • ObjectiveFromLambda.objective()
    • ConstraintHandler
      • ConstraintHandler.repair_solution()
      • ConstraintHandler.penalty()
      • ConstraintHandler.get_state()
    • ConstraintHandlerFromLambda
      • ConstraintHandlerFromLambda.repair_solution()
      • ConstraintHandlerFromLambda.penalty()
    • NullConstraint
      • NullConstraint.repair_solution()
      • NullConstraint.penalty()
    • PenalizeConstraint
      • PenalizeConstraint.repair_solution()
    • RepairConstraint
      • RepairConstraint.penalty()
    • ParametrizableMixin
      • ParametrizableMixin.store_kwargs()
      • ParametrizableMixin.step()
      • ParametrizableMixin.update_kwargs()
      • ParametrizableMixin.get_params()
      • ParametrizableMixin.params
    • SchedulableParameter
      • SchedulableParameter.evaluate()
    • ParameterFromLambda
      • ParameterFromLambda.evaluate()
    • Algorithm
      • Algorithm.initializer
      • Algorithm.iterations
      • Algorithm.evaluations
      • Algorithm.patience_left
      • Algorithm.progress
      • Algorithm.population
      • Algorithm.gather_parameters()
      • Algorithm.best_solution()
      • Algorithm.best_individual()
      • Algorithm.restart()
      • Algorithm.initialize()
      • Algorithm.step()
      • Algorithm.resume()
      • Algorithm.optimize()
      • Algorithm.get_state()
      • Algorithm.store_state()
      • Algorithm.to_pandas()
      • Algorithm.to_pandas_full_objective()
    • MemeticAlgorithm
      • MemeticAlgorithm.initialize()
      • MemeticAlgorithm.step()
      • MemeticAlgorithm.get_state()
      • MemeticAlgorithm.step_info()
    • Checkpointer
      • Checkpointer.restart()
      • Checkpointer.checkpoint()
      • Checkpointer.save()
      • Checkpointer.load()
    • Reporter
      • Reporter.log_init()
      • Reporter.log_step()
      • Reporter.log_end()
    • StoppingCondition
      • StoppingCondition.condition_str
      • StoppingCondition.progress_metric_str
      • StoppingCondition.max_iterations
      • StoppingCondition.max_evaluations
      • StoppingCondition.real_time_limit
      • StoppingCondition.cpu_time_limit
      • StoppingCondition.objective_target
      • StoppingCondition.max_patience
      • StoppingCondition.optimization_mode
      • StoppingCondition.restart()
      • StoppingCondition.step()
      • StoppingCondition.is_finished()
      • StoppingCondition.get_progress()
      • StoppingCondition.get_state()
    • HistoryTracker
      • HistoryTracker.restart()
      • HistoryTracker.step()
      • HistoryTracker.to_pandas()
      • HistoryTracker.to_pandas_full_objective()
      • HistoryTracker.get_state()
    • create_reporter()
    • SilentReporter
      • SilentReporter.log_init()
      • SilentReporter.log_step()
      • SilentReporter.log_end()
    • TQDMReporter
      • TQDMReporter.log_init()
      • TQDMReporter.log_step()
      • TQDMReporter.log_end()
    • VerboseReporter
      • VerboseReporter.log_init()
      • VerboseReporter.log_step()
      • VerboseReporter.log_end()
    • SearchStrategy
      • SearchStrategy.population_size
      • SearchStrategy.gather_parameters()
      • SearchStrategy.best_solution()
      • SearchStrategy.initialize()
      • SearchStrategy.evaluate_population()
      • SearchStrategy.select_parents()
      • SearchStrategy.perturb()
      • SearchStrategy.repair_population()
      • SearchStrategy.select_individuals()
      • SearchStrategy.step()
      • SearchStrategy.get_state()
      • SearchStrategy.extra_step_info()
      • SearchStrategy.extra_report()
    • SearchStrategyFromLambda
    • Population
      • Population.best_individual()
      • Population.best_solution()
      • Population.update_genotype()
      • Population.take_selection()
      • Population.apply_selection()
      • Population.take_slice()
      • Population.apply_slice()
      • Population.join_populations()
      • Population.join()
      • Population.sort_population()
      • Population.update_best_from_parents()
      • Population.step()
      • Population.repeat()
      • Population.calculate_fitness()
      • Population.repair_solutions()
      • Population.decode()
      • Population.decode_params()
      • Population.encode()
      • Population.get_state()
      • Population.debug_repr()
    • Encoding
      • Encoding.gather_params()
      • Encoding.encode()
      • Encoding.decode()
      • Encoding.get_state()
    • EncodingFromLambda
      • EncodingFromLambda.encode()
      • EncodingFromLambda.decode()
    • DefaultEncoding
      • DefaultEncoding.encode()
      • DefaultEncoding.decode()
    • Initializer
      • Initializer.generate_random()
      • Initializer.generate_individual()
      • Initializer.generate_population()
      • Initializer.get_state()
    • InitializerFromLambda
      • InitializerFromLambda.generate_random()
    • ParentSelection
      • ParentSelection.gather_params()
      • ParentSelection.select()
      • ParentSelection.get_state()
    • NullParentSelection
      • NullParentSelection.select()
    • ParentSelectionFromLambda
      • ParentSelectionFromLambda.select()
    • create_parent_selection()
    • add_parent_selection_entry()
    • ParentSelectionDef
      • ParentSelectionDef.selection_fn
      • ParentSelectionDef.params
      • ParentSelectionDef.forced_params
    • Operator
      • Operator.gather_params()
      • Operator.evolve()
      • Operator.step()
      • Operator.get_state()
    • OperatorFromLambda
      • OperatorFromLambda.evolve()
    • NullOperator
      • NullOperator.evolve()
    • create_operator()
    • add_operator_entry()
    • OperatorFnDef
      • OperatorFnDef.operator_fn
      • OperatorFnDef.params
      • OperatorFnDef.forced_params
    • SurvivorSelection
      • SurvivorSelection.gather_params()
      • SurvivorSelection.select()
      • SurvivorSelection.get_state()
    • NullSurvivorSelection
      • NullSurvivorSelection.select()
    • SurvivorSelectionFromLambda
      • SurvivorSelectionFromLambda.select()
    • create_survivor_selection()
    • add_survivor_selection_entry()
    • SurvivorSelectionDef
      • SurvivorSelectionDef.selection_fn
      • SurvivorSelectionDef.params
      • SurvivorSelectionDef.forced_params
      • SurvivorSelectionDef.preserves_order