Module io.jenetics.base

Package io.jenetics

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

java.lang.Object

io.jenetics.MonteCarloSelector<G,C>

All Implemented Interfaces:

Selector<G,C>

public final class MonteCarloSelector<G extends Gene<?,G>,C extends Comparable<? super C>>
extends Object
implements Selector<G,C>

The Monte Carlo selector selects the individuals from a given population randomly. This selector can be used to measure the performance of another selector. In general, the performance of a selector should be better than the selection performance of the Monte Carlo selector.

Since:

1.0

Version:

5.0

Constructor Summary

Constructors

Constructor	Description
MonteCarloSelector()

Method Summary

Modifier and Type	Method	Description
ISeq<Phenotype<G,C>>	select(Seq<Phenotype<G,C>> population, int count, Optimize opt)	Select phenotypes from the Population.
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Details

MonteCarloSelector

public MonteCarloSelector()

Method Details

select

public ISeq<Phenotype<G,C>> select(Seq<Phenotype<G,C>> population,
 int count,
 Optimize opt)

Description copied from interface: Selector

Select phenotypes from the Population.

Specified by:

select in interface Selector<G extends Gene<?,G>,C extends Comparable<? super C>>

Parameters:

population - The population to select from.

count - The number of phenotypes to select.

opt - Determines whether the individuals with higher fitness values or lower fitness values must be selected. This parameter determines whether the GA maximizes or minimizes the fitness function.

Returns:

The selected phenotypes (a new Population).

toString

public String toString()

Overrides:

toString in class Object