Package org.deidentifier.arx.algorithm

Klasse GeneticAlgorithm

java.lang.Object

org.deidentifier.arx.algorithm.AbstractAlgorithm

org.deidentifier.arx.algorithm.GeneticAlgorithm

public class GeneticAlgorithm
extends AbstractAlgorithm

Implementation of the genetic algorithm described in "Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach" by Wan et al. DOI: 10.1016/j.ajhg.2016.12.002

Feldübersicht

Von Klasse geerbte Felder org.deidentifier.arx.algorithm.AbstractAlgorithm

solutionSpace

Konstruktorübersicht

Konstruktoren

Konstruktor

Beschreibung

GeneticAlgorithm(SolutionSpace<?> solutionSpace, TransformationChecker checker, int geneticAlgorithmIterations, double geneticAlgorithmCrossoverFraction, boolean geneticAlgorithmDeterministic, double geneticAlgorithmEliteFraction, double geneticAlgorithmImmigrationFraction, int geneticAlgorithmImmigrationInterval, double geneticAlgorithmMutationProbability, int geneticAlgorithmSubpopulationSize, double geneticAlgorithmpProductionFraction, int timeLimit, int checkLimit)

Creates a new instance

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
static AbstractAlgorithm	create(SolutionSpace<?> solutionSpace, TransformationChecker checker, int heuristicSearchStepLimit, double geneticAlgorithmCrossoverFraction, boolean geneticAlgorithmDeterministic, double geneticAlgorithmEliteFraction, double geneticAlgorithmImmigrationFraction, int geneticAlgorithmImmigrationInterval, double geneticAlgorithmMutationProbability, int geneticAlgorithmSubpopulationSize, double geneticAlgorithmpProductionFraction, int timeLimit, int checkLimit)	Returns a new instance
boolean	traverse()	Implement this method in order to provide a new algorithm.

Von Klasse geerbte Methoden org.deidentifier.arx.algorithm.AbstractAlgorithm

computeUtilityForMonotonicMetrics, getCheckCount, getCheckLimit, getGlobalOptimum, getTimeLimit, getTimeStart, mustStop, progress, setListener, startTraverse, trackOptimum, trackProgressFromLimits, trackProgressFromLimits

Von Klasse geerbte Methoden java.lang.Object

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

Konstruktordetails

GeneticAlgorithm

public GeneticAlgorithm(SolutionSpace<?> solutionSpace,
 TransformationChecker checker,
 int geneticAlgorithmIterations,
 double geneticAlgorithmCrossoverFraction,
 boolean geneticAlgorithmDeterministic,
 double geneticAlgorithmEliteFraction,
 double geneticAlgorithmImmigrationFraction,
 int geneticAlgorithmImmigrationInterval,
 double geneticAlgorithmMutationProbability,
 int geneticAlgorithmSubpopulationSize,
 double geneticAlgorithmpProductionFraction,
 int timeLimit,
 int checkLimit)

Creates a new instance

Parameter:

solutionSpace -

checker -

geneticAlgorithmIterations -

geneticAlgorithmCrossoverFraction -

geneticAlgorithmDeterministic -

geneticAlgorithmEliteFraction -

geneticAlgorithmImmigrationFraction -

geneticAlgorithmImmigrationInterval -

geneticAlgorithmMutationProbability -

geneticAlgorithmSubpopulationSize -

timeLimit -

checkLimit -

Methodendetails

create

public static AbstractAlgorithm create(SolutionSpace<?> solutionSpace,
 TransformationChecker checker,
 int heuristicSearchStepLimit,
 double geneticAlgorithmCrossoverFraction,
 boolean geneticAlgorithmDeterministic,
 double geneticAlgorithmEliteFraction,
 double geneticAlgorithmImmigrationFraction,
 int geneticAlgorithmImmigrationInterval,
 double geneticAlgorithmMutationProbability,
 int geneticAlgorithmSubpopulationSize,
 double geneticAlgorithmpProductionFraction,
 int timeLimit,
 int checkLimit)

Returns a new instance

Parameter:

solutionSpace -

checker -

heuristicSearchStepLimit -

geneticAlgorithmCrossoverFraction -

geneticAlgorithmDeterministic -

geneticAlgorithmEliteFraction -

geneticAlgorithmImmigrationFraction -

geneticAlgorithmImmigrationInterval -

geneticAlgorithmMutationProbability -

geneticAlgorithmSubpopulationSize -

timeLimit -

checkLimit -

Gibt zurück:

traverse

public boolean traverse()

Beschreibung aus Klasse kopiert: AbstractAlgorithm

Implement this method in order to provide a new algorithm.

Angegeben von:

traverse in Klasse AbstractAlgorithm

Gibt zurück:

Whether the result is optimal