org.evosuite.ga.metaheuristics

Class SteadyStateGA<T extends Chromosome>

java.lang.Object

org.evosuite.ga.metaheuristics.GeneticAlgorithm<T>

org.evosuite.ga.metaheuristics.MonotonicGA<T>

org.evosuite.ga.metaheuristics.SteadyStateGA<T>

All Implemented Interfaces:

Serializable, SearchAlgorithm

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

Alternative version of steady state GA

Author:

Gordon Fraser

See Also:

Serialized Form

Field Summary

Fields inherited from class org.evosuite.ga.metaheuristics.MonotonicGA

replacementFunction

Fields inherited from class org.evosuite.ga.metaheuristics.GeneticAlgorithm

archive, bloatControl, chromosomeFactory, crossoverFunction, currentIteration, fitnessFunctions, listeners, localObjective, localSearchProbability, population, populationLimit, selectionFunction, stoppingConditions

Constructor Summary

Constructors

Constructor and Description
SteadyStateGA(ChromosomeFactory<T> factory) Generate a new search object

Method Summary

Modifier and Type	Method and Description
protected void	evolve() Generate one new generation

Methods inherited from class org.evosuite.ga.metaheuristics.MonotonicGA

generateSolution, getReplacementFunction, initializePopulation, keepOffspring, setReplacementFunction

Methods inherited from class org.evosuite.ga.metaheuristics.GeneticAlgorithm

addBloatControl, addFitnessFunction, addFitnessFunctions, addListener, addStoppingCondition, applyLocalSearch, calculateFitnessAndSortPopulation, clearPopulation, disableFirstSecondaryCriterion, elitism, enableFirstSecondaryCriterion, generateInitialPopulation, generateRandomPopulation, getAge, getBestIndividual, getBestIndividuals, getBudgetString, getFitnessFunction, getFitnessFunctions, getNumberOfFitnessFunctions, getPopulation, getPopulationSize, getSelectionFunction, getStoppingConditions, isBetterOrEqual, isFinished, isNextPopulationFull, isTooLong, notifyEvaluation, notifyIteration, notifyMutation, notifySearchFinished, notifySearchStarted, printBudget, randomism, removeListener, removeStoppingCondition, resetStoppingConditions, setArchive, setBloatControl, setChromosomeFactory, setCrossOverFunction, setPopulationLimit, setSelectionFunction, setStoppingCondition, setStoppingConditionLimit, shouldApplyLocalSearch, sortPopulation, starveByFitness, starveRandomly, starveToLimit, toString, updateBestIndividualFromArchive, updateFitnessFunctionsAndValues, updateProbability, updateSecondaryCriterion, writeIndividuals

Methods inherited from class java.lang.Object

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

Constructor Detail

SteadyStateGA

public SteadyStateGA(ChromosomeFactory<T> factory)

Generate a new search object

Parameters:

factory - a ChromosomeFactory object.

Method Detail

evolve

protected void evolve()

Generate one new generation Perform one iteration of the search

Overrides:

evolve in class MonotonicGA<T extends Chromosome>