Module io.jenetics.ext

Package io.jenetics.ext

Class MLEvolutionStrategy<G extends Gene<?,G>,C extends Comparable<? super C>>

java.lang.Object

io.jenetics.ext.MLEvolutionStrategy<G,C>

Type Parameters:

G - the gene type

C - the fitness result type

All Implemented Interfaces:

Engine.Setup<G,C>

public final class MLEvolutionStrategy<G extends Gene<?,G>,C extends Comparable<? super C>>
extends Object
implements Engine.Setup<G,C>

Setup for a (μ, λ)-Evolution Strategy. Applying this setup is done in the following way.

final var engine = Engine.builder(problem)
    .setup(new MLEvolutionStrategy<>(μ, λ, p))
    .build();

And is equivalent to the following builder setup.

final var engine = Engine.builder(problem)
    .populationSize(λ)
    .survivorsSize(0)
    .offspringSelector(new TruncationSelector<>(μ))
    .alterers(new Mutator<>(p))
    .build();

Since:

6.0

Version:

6.0

Constructor Summary

Constructors

Constructor	Description
MLEvolutionStrategy(int mu, int lambda)	Create a new (μ, λ)-Evolution Strategy with the given parameters.
MLEvolutionStrategy(int mu, int lambda, double mutationProbability)	Create a new (μ, λ)-Evolution Strategy with the given parameters.

Method Summary

Modifier and Type	Method	Description
void	apply(Engine.Builder<G,C> builder)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

MLEvolutionStrategy

public MLEvolutionStrategy(int mu,
 int lambda,
 double mutationProbability)

Create a new (μ, λ)-Evolution Strategy with the given parameters.

Parameters:

mu - the number of the fittest individuals to be selected

lambda - the population count

mutationProbability - the mutation probability

Throws:

IllegalArgumentException - if mu < 2 or lambda < mu or mutationProbability not in [0, 1]

MLEvolutionStrategy

public MLEvolutionStrategy(int mu,
 int lambda)

Create a new (μ, λ)-Evolution Strategy with the given parameters. The mutation probability is set to Alterer.DEFAULT_ALTER_PROBABILITY.

Parameters:

mu - the number of the fittest individuals to be selected

lambda - the population count

Throws:

IllegalArgumentException - if mu < 2 or lambda < mu or mutationProbability not in [0, 1]

Method Details

apply

public void apply(Engine.Builder<G,C> builder)

Specified by:

apply in interface Engine.Setup<G extends Gene<?,G>,C extends Comparable<? super C>>