MLEvolutionStrategy (Jenetics 6.3.0)

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

All Methods Instance Methods Concrete Methods
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 Detail
  - 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 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 fittest individuals to be selected
    
    lambda - the population count
    
    Throws:
    
    IllegalArgumentException - if mu < 2 or lambda < mu or mutationProbability not in [0, 1]
- Method Detail
  - 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>>