geneticengine.algorithms.gp.operators.elitism

Attributes

T

Classes

ElitismStep

Selects the best individuals from the population.

Functions

wrap(els, size)

Module Contents

geneticengine.algorithms.gp.operators.elitism.T

geneticengine.algorithms.gp.operators.elitism.wrap(els, size)

Parameters:

• els (Iterator[T])

• size (int)

Return type:

Iterator[T]

class geneticengine.algorithms.gp.operators.elitism.ElitismStep

Bases: geneticengine.algorithms.gp.structure.GeneticStep

Selects the best individuals from the population.

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]