Strategies

Strategies describes realization of specific optimization algorithm step. GEFEST provides two default strategies for crossover and mutation steps.

Strategy base class

class gefest.core.opt.strategies.strategy.Strategy[source]

Bases: object

Abstract class for algorithm steps.

abstract __call__(pop: list[Structure], *args: Any, **kwds: Any) → list[Structure][source]: Must implement logic of any genetic algorithm step.

class gefest.core.opt.strategies.crossover.CrossoverStrategy(opt_params: OptimizationParams)[source]

Default crossover strategy.

__call__(pop: list[Structure]) → list[Structure][source]: Calls crossover method.

crossover(pop: list[Structure])[source]: Executes crossover for provided population.

class gefest.core.opt.strategies.mutation.MutationStrategy(opt_params: OptimizationParams)[source]

Default mutation strategy.

__call__(pop: list[Structure]) → list[Structure][source]: Calls mutate method.

mutate(pop: list[Structure]) → list[Structure][source]

Mutates provided population.