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)	Applies this setup to the given engine 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)

Description copied from interface: Engine.Setup

Applies this setup to the given engine builder.

Specified by:

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

Parameters:

builder - the engine builder to set up (configure)