jenes.algorithms

Class SteadyStateGA<T extends Chromosome>

java.lang.Object

jenes.GeneticAlgorithm<T>

jenes.algorithms.SteadyStateGA<T>

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

Steady-state genetic algorithm

Since:

2.0

Version:

2.0

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SteadyStateGA.SelectionMethod Provides the available selection methods

Nested classes/interfaces inherited from class jenes.GeneticAlgorithm

GeneticAlgorithm.ElitismStrategy, GeneticAlgorithm.ResizeStrategy, GeneticAlgorithm.Statistics

Field Summary

Fields

Modifier and Type	Field and Description
static int	DEFAULT_GENERATION_LIMIT The default generation limit
static SteadyStateGA.SelectionMethod	DEFAULT_SELECTION_METHOD

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
SteadyStateGA(Fitness fitness) Builds a new SteadyStateGA with null population, default generation limit, default replacement rate, defaul selection rate, default selection method.
SteadyStateGA(Fitness fitness, Population<T> pop) Builds a new SteadyStateGA with default generation limit, default replacement rate, defaul selection rate, default selection method.
SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit) Builds a new SteadyStateGA with default replacement rate, defaul selection rate, default selection method.
SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, int rr, int sr, Selector<T> selector, AbstractStage<T>... stages) Builds a new SteadyStateGA
SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, int rr, int sr, SteadyStateGA.SelectionMethod selmethod, AbstractStage<T>... stages) Builds a new SteadyStateGA
SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, Selector<T> selector, AbstractStage<T>... stages) Builds a new SteadyStateGA
SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, SteadyState<T> ss) Builds a new SteadyStateGA
SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, SteadyStateGA.SelectionMethod selmethod, AbstractStage<T>... stages) Builds a new SteadyStateGA with default replacement rate, defaul selection rate

Method Summary

Methods inherited from class jenes.GeneticAlgorithm

addAlgorithmEventListener, addGenerationEventListener, addStage, 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_SELECTION_METHOD

public static final SteadyStateGA.SelectionMethod DEFAULT_SELECTION_METHOD

DEFAULT_GENERATION_LIMIT

public static final int DEFAULT_GENERATION_LIMIT

The default generation limit

See Also:

Constant Field Values

Constructor Detail

SteadyStateGA

public SteadyStateGA(Fitness fitness)

Builds a new SteadyStateGA with null population, default generation limit, default replacement rate, defaul selection rate, default selection method.

Parameters:

fitness - the fitness to use

SteadyStateGA

public SteadyStateGA(Fitness fitness,
             Population<T> pop)

Builds a new SteadyStateGA with default generation limit, default replacement rate, defaul selection rate, default selection method.

Parameters:

fitness - the fitness to use

pop - the initial population

SteadyStateGA

public SteadyStateGA(Fitness fitness,
             Population<T> pop,
             int genlimit)

Builds a new SteadyStateGA with default replacement rate, defaul selection rate, default selection method.

Parameters:

fitness - - the fitness to use

pop - - the initial population

genlimit - - generation limit

SteadyStateGA

public SteadyStateGA(Fitness fitness,
             Population<T> pop,
             int genlimit,
             SteadyStateGA.SelectionMethod selmethod,
             AbstractStage<T>... stages)

Builds a new SteadyStateGA with default replacement rate, defaul selection rate

Parameters:

fitness - - the fitness to use

pop - - the initial population

genlimit - - generation limit

selmethod - - selection method

stages - - stages of algorithm

SteadyStateGA

public SteadyStateGA(Fitness fitness,
             Population<T> pop,
             int genlimit,
             int rr,
             int sr,
             SteadyStateGA.SelectionMethod selmethod,
             AbstractStage<T>... stages)

Builds a new SteadyStateGA

Parameters:

fitness - - the fitness to use

pop - - the initial population

genlimit - - generation limit

rr - - replace rate

sr - - selection method

selmethod - - selection method

stages - - stages of algorithm

SteadyStateGA

public SteadyStateGA(Fitness fitness,
             Population<T> pop,
             int genlimit,
             Selector<T> selector,
             AbstractStage<T>... stages)

Builds a new SteadyStateGA

Parameters:

fitness - - the fitness to use

pop - - the initial population

genlimit - - generation limit

selector - - selector

stages - - stages of algorithm

SteadyStateGA

public SteadyStateGA(Fitness fitness,
             Population<T> pop,
             int genlimit,
             int rr,
             int sr,
             Selector<T> selector,
             AbstractStage<T>... stages)

Builds a new SteadyStateGA

Parameters:

fitness - - the fitness to use

pop - - the initial population

genlimit - - generation limit

rr - - replace rate

sr - - selection method

selector - - selector

stages - - stages of algorithm

SteadyStateGA

public SteadyStateGA(Fitness fitness,
             Population<T> pop,
             int genlimit,
             SteadyState<T> ss)

Builds a new SteadyStateGA

Parameters:

fitness - - the fitness to use

pop - - the initial population

genlimit - - generation limit

ss - - a SteadyState stage