jenes.algorithms

Class CrowdingGA<T extends Chromosome>

java.lang.Object

jenes.GeneticAlgorithm<T>

jenes.algorithms.CrowdingGA<T>

Type Parameters:

T - extends Chromosome

Direct Known Subclasses:

NSGA2

public class CrowdingGA<T extends Chromosome>
extends GeneticAlgorithm<T>

A genetic algorithm based on crowding

Since:

2.0

Version:

2.0

Nested Class Summary

Nested classes/interfaces inherited from class jenes.GeneticAlgorithm

GeneticAlgorithm.ElitismStrategy, GeneticAlgorithm.ResizeStrategy, GeneticAlgorithm.Statistics

Field Summary

Fields

Modifier and Type	Field and Description
protected Crowder	crowder
static int	DEFAULT_GENERATION_LIMIT The default generation limit

Fields inherited from class jenes.GeneticAlgorithm

algorithmListeners, body, DEFAULT_HISTORY_SIZE, elitism, elitismStrategy, fullEvaluationForced, generation, generationLimit, generationListeners, initialPopulation, MAX_HISTORY_SIZE, MIN_HISTORY_SIZE, random, randomization, resizeStrategy, statistics

Constructor Summary

Constructors

Constructor and Description
CrowdingGA(Fitness fitness, Crowder crowder) Default constructor
CrowdingGA(Fitness fitness, Crowder crowder, Population<T> population, int generations) Create a new CrowdingGA by setting the initial population and the generation limit

Method Summary

Methods

Modifier and Type	Method and Description
void	addStage(AbstractStage<T> stage) A stage is added to the crowder evolution pipeline
Crowder	getCrowder() Access the current crowder setted for this algorithm

Methods inherited from class jenes.GeneticAlgorithm

addAlgorithmEventListener, addGenerationEventListener, applyElitism, end, evaluateIndividual, evaluatePopulation, evaluatePopulation, evolve, evolve, evolve, getBody, getCurrentPopulation, getElitism, getElitismStrategy, getFitness, getGeneration, getGenerationLimit, getHistoryAt, getHistorySize, getInitialPopulation, getLastPopulation, getNextPopulation, getPool, getRandomization, getResizeStrategy, getRunner, getStatistics, isBiggerBetter, isFitnessChanged, isFullEvaluationForced, onGeneration, onInit, onStart, onStop, randomizeIndividual, randomizePopulation, removeAlgorithmEventListener, removeGenerationEventListener, setBiggerIsBetter, setElitism, setElitismStrategy, setFitness, setFullEvaluationForced, setGenerationLimit, setHistorySize, setRandomization, setRandomization, setRandomSeed, setResizeStrategy, setRunner, start, stop, toString, updateStatistics

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_GENERATION_LIMIT

public static final int DEFAULT_GENERATION_LIMIT

The default generation limit

See Also:

Constant Field Values

crowder

protected Crowder crowder

Constructor Detail

CrowdingGA

public CrowdingGA(Fitness fitness,
          Crowder crowder)

Default constructor

Parameters:

fitness - the Fitness considered for this algorithm

crowder - the crowder to use

CrowdingGA

public CrowdingGA(Fitness fitness,
          Crowder crowder,
          Population<T> population,
          int generations)

Create a new CrowdingGA by setting the initial population and the generation limit

Parameters:

fitness - the Fitness considered for this algorithm

crowder - the crowder to use

population - the initial population to consider

generations - number of generations to evolve

Method Detail

addStage

public void addStage(AbstractStage<T> stage)

A stage is added to the crowder evolution pipeline

Overrides:

addStage in class GeneticAlgorithm<T extends Chromosome>

Parameters:

stage -

getCrowder

public Crowder getCrowder()

Access the current crowder setted for this algorithm

Returns: