metaheuristic_designer package

Subpackages

metaheuristic_designer.algorithms	Algorithm variant, and comparison utilities.
metaheuristic_designer.benchmarks	Benchmarking objective functions provided by the library to test algorithms.
metaheuristic_designer.constraint_handlers	Constraint handling implementation provided by the library.
metaheuristic_designer.encodings	Concrete encoding implementations provided by the library.
metaheuristic_designer.initializers	Concrete initializer implementations provided by the library.
metaheuristic_designer.operators	Operator interfaces and base implementations.
metaheuristic_designer.parameter_schedules	Built-in parameter schedules for dynamic algorithm configuration.
metaheuristic_designer.parent_selection	Parent selection registry and factory.
metaheuristic_designer.reporters	Built-in reporter implementations (silent, tqdm, verbose) and the factory.
metaheuristic_designer.simple	Ready-to-run wrappers that build complete algorithms from a few hyperparameters.
metaheuristic_designer.strategies	Built-in search strategy implementations.
metaheuristic_designer.survivor_selection	Survivor selection methods.

Submodules

metaheuristic_designer.algorithm	Base class for the Algorithm module.
metaheuristic_designer.checkpointer	Module for checkpointing and resuming optimizations runs.
metaheuristic_designer.constraint_handler	Base class for the Constraint Handler module.
metaheuristic_designer.encoding	Base class for the Encoding module.
metaheuristic_designer.history_tracker	Module for recording per-generation metrics and exporting them as pandas DataFrames.
metaheuristic_designer.initializer	Base class for the Initializer module.
metaheuristic_designer.objective_function	Base class for the Objective Function module.
metaheuristic_designer.operator	Base class for the Operator module.
metaheuristic_designer.parametrizable_mixin	Module providing the ParametrizableMixin for managing schedulable parameters.
metaheuristic_designer.parent_selection_base	Base class for the Parent Selection module.
metaheuristic_designer.population	Base class for the Population module.
metaheuristic_designer.reporter	Module defining the abstract reporter interface for algorithm progress output.
metaheuristic_designer.schedulable_parameter	Module for schedule-dependent parameters whose value changes with progress.
metaheuristic_designer.search_strategy	Base class for the Search strategy module.
metaheuristic_designer.stopping_condition	Module for algorithm stopping conditions and progress metric evaluation.
metaheuristic_designer.survivor_selection_base	Base class for the Survivor Selection module.
metaheuristic_designer.utils	Utility functions, type aliases, and a JSON encoder used across the library.