org.evosuite.ga.metaheuristics

Class StandardGA<T extends Chromosome>

java.lang.Object

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

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

All Implemented Interfaces:

Serializable, SearchAlgorithm

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

Standard GA implementation

Author:

Gordon Fraser

See Also:

Serialized Form

Field Summary

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
StandardGA(ChromosomeFactory<T> factory) Constructor

Method Summary

Modifier and Type	Method and Description
protected void	evolve() Generate one new generation
void	generateSolution() Generate solution
void	initializePopulation() Set up initial population

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

StandardGA

public StandardGA(ChromosomeFactory<T> factory)

Constructor

Parameters:

factory - a ChromosomeFactory object.

Method Detail

evolve

protected void evolve()

Generate one new generation

Specified by:

evolve in class GeneticAlgorithm<T extends Chromosome>

initializePopulation

public void initializePopulation()

Set up initial population

Specified by:

initializePopulation in class GeneticAlgorithm<T extends Chromosome>

generateSolution

public void generateSolution()

Generate solution Generate solution

Specified by:

generateSolution in interface SearchAlgorithm

Specified by:

generateSolution in class GeneticAlgorithm<T extends Chromosome>