geneticengine.algorithms.gp.operators.crossover

Attributes

logger

Classes

GenericCrossoverStep

Changes the population by crossing individuals two-by-two together,

Module Contents

geneticengine.algorithms.gp.operators.crossover.logger

class geneticengine.algorithms.gp.operators.crossover.GenericCrossoverStep(probability=1)

Bases: geneticengine.algorithms.gp.structure.GeneticStep

Changes the population by crossing individuals two-by-two together, according to a given probability.

Parameters:

probability (float)

probability = 1

iterate(problem, evaluator, representation, random, population, target_size, generation)

Parameters:

• problem (geneticengine.problems.Problem)

• evaluator (geneticengine.evaluation.Evaluator)

• representation (geneticengine.representations.api.Representation)

• random (geneticengine.random.sources.RandomSource)

• population (Iterator[geneticengine.solutions.individual.PhenotypicIndividual])

• target_size (int)

• generation (int)

Return type:

Iterator[geneticengine.solutions.individual.PhenotypicIndividual]

crossover(random, individual1, individual2, representation)

Parameters:

• random (geneticengine.random.sources.RandomSource)

• individual1 (geneticengine.solutions.individual.PhenotypicIndividual)

• individual2 (geneticengine.solutions.individual.PhenotypicIndividual)

• representation (geneticengine.representations.api.Representation)