Crossover

In genetic algorithms and evolutionary computation, crossover, also called recombination, is a genetic operator used to combine the genetic information of two parents to generate new offspring.

List of the evolutionary strategy strategy recombination operations:

Evolutionary.averageSigma — Function

Average σ recombination

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List of the evolutionary strategy population recombination operations:

Evolutionary.average — Function

average(population)

Returns an offspring of a multi-parent recombination by averaging population.

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Evolutionary.marriage — Function

marriage(population)

Returns an offspring of a multi-parent recombination by random copying from population.

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Binary crossovers:

Evolutionary.singlepoint — Function

singlepoint(v1, v2)

Single point crossover between v1 and v2

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Evolutionary.twopoint — Function

twopoint(v1, v2)

Two point crossover between v1 and v2

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Evolutionary.uniform — Function

uniform(v1, v2)

Uniform crossover between v1 and v2

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Real valued crossovers:

Evolutionary.discrete — Function

Discrete recombination

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Evolutionary.waverage — Function

Weighted arithmetic mean recombination

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Evolutionary.intermediate — Function

Intermediate recombination

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Evolutionary.line — Function

Line recombination

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Permutation crossovers:

Evolutionary.pmx — Function

Partially mapped crossover

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Evolutionary.ox1 — Function

Order crossover

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Evolutionary.cx — Function

Cycle crossover

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Evolutionary.ox2 — Function

Order-based crossover

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Evolutionary.pos — Function

Position-based crossover

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