geneticengine.algorithms.gp.operators.crossover

Module Contents

Classes

GenericCrossoverStep

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

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) –

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 (list[geneticengine.solutions.individual.Individual]) –

• target_size (int) –

• generation (int) –

Return type:

list[geneticengine.solutions.individual.Individual]

crossover(random, individual1, individual2, representation)

Parameters:

• random (geneticengine.random.sources.RandomSource) –

• individual1 (geneticengine.solutions.individual.Individual) –

• individual2 (geneticengine.solutions.individual.Individual) –

• representation (geneticengine.representations.api.Representation) –