Package net.bmahe.genetics4j.core.selection

Class SelectiveRefinementTournamentSelector<T extends Comparable<T>>

java.lang.Object

net.bmahe.genetics4j.core.selection.SelectiveRefinementTournamentSelector<T>

All Implemented Interfaces:

Selector<T>

public class SelectiveRefinementTournamentSelector<T extends Comparable<T>>
extends Object
implements Selector<T>

Field Summary

Fields

Modifier and Type	Field	Description
static final org.apache.logging.log4j.Logger	logger
private final RandomGenerator	randomGenerator
private final SelectiveRefinementTournament<T>	selectiveRefinementTournament

Constructor Summary

Constructors

Constructor	Description
SelectiveRefinementTournamentSelector(SelectiveRefinementTournament<T> _selectiveRefinementTournament, RandomGenerator _randomGenerator)

Method Summary

Modifier and Type	Method	Description
protected Individual<T>	randomIndividual(List<Genotype> population, List<T> fitnessScore)
Population<T>	select(AbstractEAConfiguration<T> eaConfiguration, long generation, int numIndividuals, List<Genotype> population, List<T> fitnessScore)	Selects a specified number of individuals from the given population based on their fitness values.
protected Individual<T>	selectForFitness(AbstractEAConfiguration<T> eaConfiguration, Comparator<Individual<T>> fitnessComparator, int numCandidates, List<Genotype> population, List<T> fitnessScore)
protected Individual<T>	selectForRefinement(Comparator<Individual<T>> refinementComparator, Individual<T> candidateA, Individual<T> candidateB)

Methods inherited from class java.lang.Object

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

Field Details

logger

public static final org.apache.logging.log4j.Logger logger

selectiveRefinementTournament

private final SelectiveRefinementTournament<T extends Comparable<T>> selectiveRefinementTournament

randomGenerator

private final RandomGenerator randomGenerator

Constructor Details

SelectiveRefinementTournamentSelector

public SelectiveRefinementTournamentSelector(SelectiveRefinementTournament<T> _selectiveRefinementTournament,
 RandomGenerator _randomGenerator)

Method Details

randomIndividual

protected Individual<T> randomIndividual(List<Genotype> population,
 List<T> fitnessScore)

selectForFitness

protected Individual<T> selectForFitness(AbstractEAConfiguration<T> eaConfiguration,
 Comparator<Individual<T>> fitnessComparator,
 int numCandidates,
 List<Genotype> population,
 List<T> fitnessScore)

selectForRefinement

protected Individual<T> selectForRefinement(Comparator<Individual<T>> refinementComparator,
 Individual<T> candidateA,
 Individual<T> candidateB)

select

public Population<T> select(AbstractEAConfiguration<T> eaConfiguration,
 long generation,
 int numIndividuals,
 List<Genotype> population,
 List<T> fitnessScore)

Description copied from interface: Selector

Selects a specified number of individuals from the given population based on their fitness values.

This method implements the core selection logic, choosing individuals according to the specific selection strategy. The selection process typically involves evaluating fitness values and applying probabilistic or deterministic rules to choose parents for reproduction.

The selection process should:

• Consider fitness values when making selection decisions
• Return exactly the requested number of individuals
• Allow for the possibility of selecting the same individual multiple times
• Maintain the integrity of the original population

Specified by:

select in interface Selector<T extends Comparable<T>>

Parameters:

eaConfiguration - the evolutionary algorithm configuration containing selection parameters

generation - the current generation

numIndividuals - the number of individuals to select from the population

population - the list of genotypes in the current population

fitnessScore - the list of fitness values corresponding to each genotype

Returns:

a new population containing the selected individuals