Uses of Class
net.bmahe.genetics4j.moo.FitnessVector

Packages that use FitnessVector

Package	Description
net.bmahe.genetics4j.moo
net.bmahe.genetics4j.moo.nsga2.spec
net.bmahe.genetics4j.moo.spea2.spec.replacement
net.bmahe.genetics4j.samples.mixturemodel
net.bmahe.genetics4j.samples.symbolicregression

Uses of FitnessVector in net.bmahe.genetics4j.moo

Methods in net.bmahe.genetics4j.moo with parameters of type FitnessVector

Modifier and Type	Method	Description
static <U extends Comparable<U>> int	FitnessVector.compare(FitnessVector<U> fv1, FitnessVector<U> fv2)
int	FitnessVector.compareTo(FitnessVector<T> o)

Uses of FitnessVector in net.bmahe.genetics4j.moo.nsga2.spec

Methods in net.bmahe.genetics4j.moo.nsga2.spec that return types with arguments of type FitnessVector

Modifier and Type	Method	Description
static <U extends Number & Comparable<U>> NSGA2Selection<FitnessVector<U>>	NSGA2Selection.ofFitnessVector(int numberObjectives)	Factory method to instantiate a NSGA2Selection when fitness is defined as a FitnessVector of a Number
static <U extends Number & Comparable<U>> NSGA2Selection<FitnessVector<U>>	NSGA2Selection.ofFitnessVector(int numberObjectives, Comparator<Genotype> deduplicate)	Factory method to instantiate a NSGA2Selection when fitness is defined as a FitnessVector of a Number
static <U extends Number & Comparable<U>> TournamentNSGA2Selection<FitnessVector<U>>	TournamentNSGA2Selection.ofFitnessVector(int numberObjectives, int numberCandidates)	Factory method to instantiate a Tournament based NSGA2 selection when fitness is defined as a FitnessVector of a Number
static <U extends Number & Comparable<U>> TournamentNSGA2Selection<FitnessVector<U>>	TournamentNSGA2Selection.ofFitnessVector(int numberObjectives, int numberCandidates, Comparator<Genotype> deduplicate)	Factory method to instantiate a Tournament based NSGA2 selection when fitness is defined as a FitnessVector of a Number

Uses of FitnessVector in net.bmahe.genetics4j.moo.spea2.spec.replacement

Methods in net.bmahe.genetics4j.moo.spea2.spec.replacement that return types with arguments of type FitnessVector

Modifier and Type	Method	Description
static <U extends Number & Comparable<U>> SPEA2Replacement<FitnessVector<U>>	SPEA2Replacement.ofFitnessVector()	Factory method to instantiate a SPEA2Selection when fitness is defined as a FitnessVector of a Number
static <U extends Number & Comparable<U>> SPEA2Replacement<FitnessVector<U>>	SPEA2Replacement.ofFitnessVector(Comparator<Genotype> deduplicate)	Factory method to instantiate a SPEA2Selection when fitness is defined as a FitnessVector of a Number

Uses of FitnessVector in net.bmahe.genetics4j.samples.mixturemodel

Methods in net.bmahe.genetics4j.samples.mixturemodel that return types with arguments of type FitnessVector

Modifier and Type	Method	Description
Fitness<FitnessVector<Float>>	MooCPU.fitnessCPU(int numDistributions, double[][] samples)
final FitnessExtractor<FitnessVector<Float>>	MooGPU.fitnessExtractor(int maxPossibleDistributions, double[][] samples)
static Map<Integer,Individual<FitnessVector<Float>>>	ClusteringUtils.groupByNumClusters(double[][] samplesDouble, EvolutionResult<FitnessVector<Float>> evolutionResult)
EvolutionResult<FitnessVector<Float>>	MooCPU.run(int maxPossibleDistributions, double[][] samples, float[] x, float[] y, String algorithmName, Collection<Genotype> seedPopulation)

Method parameters in net.bmahe.genetics4j.samples.mixturemodel with type arguments of type FitnessVector

Modifier and Type	Method	Description
static void	ClusteringUtils.categorizeByNumClusters(int distributionNumParameters, int maxPossibleDistributions, float[] x, float[] y, double[][] samplesDouble, EvolutionResult<FitnessVector<Float>> evolutionResult, String baseDir, String type)
static Map<Integer,Individual<FitnessVector<Float>>>	ClusteringUtils.groupByNumClusters(double[][] samplesDouble, EvolutionResult<FitnessVector<Float>> evolutionResult)
void	MooGPU.run(int maxPossibleDistributions, int numDistributions, double[][] samplesDouble, float[][] samples, float[] x, float[] y, String algorithmName, Collection<Genotype> seedPopulation, EvolutionResult<FitnessVector<Float>> bestCPUResult)

Uses of FitnessVector in net.bmahe.genetics4j.samples.symbolicregression

Methods in net.bmahe.genetics4j.samples.symbolicregression that return types with arguments of type FitnessVector

Modifier and Type	Method	Description
static EvolutionListener<FitnessVector<Double>>	SymbolicRegressionUtils.csvLogger(String filename, Function<EvolutionStep<FitnessVector<Double>,List<Set<Integer>>>,Double> computeScore, Function<EvolutionStep<FitnessVector<Double>,List<Set<Integer>>>,Double> computeComplexity)	Sepcialization for FitnessVector

Method parameters in net.bmahe.genetics4j.samples.symbolicregression with type arguments of type FitnessVector

Modifier and Type	Method	Description
static EvolutionListener<FitnessVector<Double>>	SymbolicRegressionUtils.csvLogger(String filename, Function<EvolutionStep<FitnessVector<Double>,List<Set<Integer>>>,Double> computeScore, Function<EvolutionStep<FitnessVector<Double>,List<Set<Integer>>>,Double> computeComplexity)	Sepcialization for FitnessVector
static <T extends Comparable<T>> EvolutionListener<T>	SymbolicRegressionUtils.csvLogger(String filename, Function<EvolutionStep<T,List<Set<Integer>>>,Double> computeScore, Function<EvolutionStep<T,List<Set<Integer>>>,Double> computeComplexity, BiFunction<List<Genotype>,List<T>,List<FitnessVector<Double>>> convert2FitnessVector)