Uses of Class
net.bmahe.genetics4j.core.Genotype

Packages that use Genotype

Package	Description
net.bmahe.genetics4j.core
net.bmahe.genetics4j.core.combination
net.bmahe.genetics4j.core.evaluation
net.bmahe.genetics4j.core.evolutionlisteners
net.bmahe.genetics4j.core.mutation
net.bmahe.genetics4j.core.postevaluationprocess
net.bmahe.genetics4j.core.replacement
net.bmahe.genetics4j.core.selection
net.bmahe.genetics4j.core.spec
net.bmahe.genetics4j.core.termination
net.bmahe.genetics4j.core.util
net.bmahe.genetics4j.extras.evolutionlisteners
net.bmahe.genetics4j.gp.mutation
net.bmahe.genetics4j.gp.postevaluationprocess
net.bmahe.genetics4j.gp.utils
net.bmahe.genetics4j.gpu
net.bmahe.genetics4j.gpu.spec
net.bmahe.genetics4j.gpu.spec.fitness
net.bmahe.genetics4j.gpu.spec.fitness.cldata
net.bmahe.genetics4j.gpu.spec.fitness.kernelcontext
net.bmahe.genetics4j.moo.nsga2.impl
net.bmahe.genetics4j.moo.nsga2.spec
net.bmahe.genetics4j.moo.spea2.replacement
net.bmahe.genetics4j.moo.spea2.spec.replacement
net.bmahe.genetics4j.neat
net.bmahe.genetics4j.neat.selection
net.bmahe.genetics4j.samples
net.bmahe.genetics4j.samples.clustering
net.bmahe.genetics4j.samples.mixturemodel
net.bmahe.genetics4j.samples.symbolicregression

Uses of Genotype in net.bmahe.genetics4j.core

Fields in net.bmahe.genetics4j.core declared as Genotype

Modifier and Type	Field	Description
private Genotype	ImmutableIndividual.Builder.genotype
private final Genotype	ImmutableIndividual.genotype

Fields in net.bmahe.genetics4j.core with type parameters of type Genotype

Modifier and Type	Field	Description
private List<Genotype>	Population.genotypes

Methods in net.bmahe.genetics4j.core that return Genotype

Modifier and Type	Method	Description
Genotype	ImmutableIndividual.genotype()	Returns the genotype of this individual.
Genotype	Individual.genotype()	Returns the genotype of this individual.
Genotype	Population.getGenotype(int index)	Returns the genotype at the specified index.

Methods in net.bmahe.genetics4j.core that return types with arguments of type Genotype

Modifier and Type	Method	Description
private List<Genotype>	EASystem.combineParents(Population<T> parents, GenotypeCombinator genotypeCombinator)
private List<Genotype>	EASystem.createBasicOffsprings(Population<T> population, int offspringsNeeded)	Create offsprings without mutation
List<Genotype>	EASystem.createOffsprings(Population<T> population, int offspringsNeeded)	Creates offspring from the given population through selection, crossover, and mutation.
List<Genotype>	Population.getAllGenotypes()	Returns all genotypes in this population.
private List<Genotype>	EASystem.initializePopulation()
private List<Genotype>	EASystem.mutateGenotypes(List<Genotype> genotypes)

Methods in net.bmahe.genetics4j.core with parameters of type Genotype

Modifier and Type	Method	Description
void	Population.add(Genotype genotype, T fitness)	Adds an individual to the population by specifying its genotype and fitness separately.
T	Fitness.compute(Genotype genotype)	Computes the fitness value for the specified genotype.
final ImmutableIndividual.Builder<T>	ImmutableIndividual.Builder.genotype(Genotype genotype)	Initializes the value for the genotype attribute.
static <T extends Comparable<T>> ImmutableIndividual<T>	ImmutableIndividual.of(Genotype genotype, T fitness)	Construct a new immutable Individual instance.
static <U extends Comparable<U>> Individual<U>	Individual.of(Genotype genotype, U fitness)	Creates a new individual with the specified genotype and fitness.
final ImmutableIndividual<T>	ImmutableIndividual.withGenotype(Genotype value)	Copy the current immutable object by setting a value for the genotype attribute.

Method parameters in net.bmahe.genetics4j.core with type arguments of type Genotype

Modifier and Type	Method	Description
CompletableFuture<List<T>>	FitnessBulkAsync.compute(ExecutorService executorService, List<Genotype> genotypes)	Asynchronously computes fitness values for an entire population of genotypes.
private List<T>	EASystem.evaluate(long generation, List<Genotype> population)
List<T>	EASystem.evaluateOnce(long generation, List<Genotype> genotypes)	Evaluates a collection of genotypes once without running the full evolutionary process.
private List<Genotype>	EASystem.mutateGenotypes(List<Genotype> genotypes)
static <U extends Comparable<U>> Population<U>	Population.of(List<Genotype> _genotype, List<U> _fitnesses)	Creates a new population with the specified genotypes and fitnesses.

Constructors in net.bmahe.genetics4j.core with parameters of type Genotype

Modifier	Constructor	Description
private	ImmutableIndividual(Genotype genotype, T fitness)
private	ImmutableIndividual(ImmutableIndividual<T> original, Genotype genotype, T fitness)

Constructor parameters in net.bmahe.genetics4j.core with type arguments of type Genotype

Modifier	Constructor	Description
	Population(List<Genotype> _genotype, List<T> _fitnesses)	Creates a population with the specified genotypes and fitnesses.

Uses of Genotype in net.bmahe.genetics4j.core.combination

Methods in net.bmahe.genetics4j.core.combination that return types with arguments of type Genotype

Modifier and Type	Method	Description
List<Genotype>	AllCasesGenotypeCombinator.combine(AbstractEAConfiguration eaConfiguration, List<List<Chromosome>> chromosomes)
List<Genotype>	GenotypeCombinator.combine(AbstractEAConfiguration eaConfiguration, List<List<Chromosome>> chromosomes)

Uses of Genotype in net.bmahe.genetics4j.core.evaluation

Method parameters in net.bmahe.genetics4j.core.evaluation with type arguments of type Genotype

Modifier and Type	Method	Description
List<T>	FitnessEvaluator.evaluate(long generation, List<Genotype> genotypes)	Evaluates the fitness of all genotypes in the given population.
List<T>	FitnessEvaluatorBulkAsync.evaluate(long generation, List<Genotype> genotypes)
List<T>	FitnessEvaluatorSync.evaluate(long generation, List<Genotype> population)

Uses of Genotype in net.bmahe.genetics4j.core.evolutionlisteners

Fields in net.bmahe.genetics4j.core.evolutionlisteners with type parameters of type Genotype

Modifier and Type	Field	Description
private Function<Genotype,String>	EvolutionListenerLogTopN.prettyPrinter

Method parameters in net.bmahe.genetics4j.core.evolutionlisteners with type arguments of type Genotype

Modifier and Type	Method	Description
static <U extends Comparable<U>> EvolutionListener<U>	EvolutionListeners.ofLogTopN(org.apache.logging.log4j.Logger logger, int topN, int skipN, Comparator<U> comparator, Function<Genotype,String> prettyPrinter)
static <U extends Comparable<U>> EvolutionListener<U>	EvolutionListeners.ofLogTopN(org.apache.logging.log4j.Logger logger, int topN, Comparator<U> comparator, Function<Genotype,String> prettyPrinter)
static <U extends Comparable<U>> EvolutionListener<U>	EvolutionListeners.ofLogTopN(org.apache.logging.log4j.Logger logger, int topN, Function<Genotype,String> prettyPrinter)
void	EvolutionListener.onEvolution(long generation, List<Genotype> population, List<T> fitness, boolean isDone)	Called after each generation to notify about evolution progress.
void	EvolutionListenerLogTopN.onEvolution(long generation, List<Genotype> population, List<T> fitness, boolean isDone)
void	SimpleEvolutionListener.onEvolution(long generation, List<Genotype> population, List<T> fitness, boolean isDone)

Constructor parameters in net.bmahe.genetics4j.core.evolutionlisteners with type arguments of type Genotype

Modifier	Constructor	Description
	EvolutionListenerLogTopN(org.apache.logging.log4j.Logger _logger, int _topN, int _skipN, Comparator<T> _comparator, Function<Genotype,String> _prettyPrinter)

Uses of Genotype in net.bmahe.genetics4j.core.mutation

Methods in net.bmahe.genetics4j.core.mutation that return Genotype

Modifier and Type	Method	Description
Genotype	GenericMutatorImpl.mutate(Genotype original)
Genotype	Mutator.mutate(Genotype original)	Applies mutation to the given genotype and returns a new mutated genotype.

Methods in net.bmahe.genetics4j.core.mutation with parameters of type Genotype

Modifier and Type	Method	Description
Genotype	GenericMutatorImpl.mutate(Genotype original)
Genotype	Mutator.mutate(Genotype original)	Applies mutation to the given genotype and returns a new mutated genotype.

Uses of Genotype in net.bmahe.genetics4j.core.postevaluationprocess

Fields in net.bmahe.genetics4j.core.postevaluationprocess with type parameters of type Genotype

Modifier and Type	Field	Description
private BiFunction<Genotype,Genotype,Double>	ImmutableFitnessSharing.Builder.distance
private BiFunction<Genotype,Genotype,Double>	ImmutableFitnessSharing.Builder.distance
private final BiFunction<Genotype,Genotype,Double>	ImmutableFitnessSharing.distance
private final BiFunction<Genotype,Genotype,Double>	ImmutableFitnessSharing.distance

Methods in net.bmahe.genetics4j.core.postevaluationprocess that return types with arguments of type Genotype

Modifier and Type	Method	Description
abstract BiFunction<Genotype,Genotype,Double>	FitnessSharing.distance()
abstract BiFunction<Genotype,Genotype,Double>	FitnessSharing.distance()
BiFunction<Genotype,Genotype,Double>	ImmutableFitnessSharing.distance()
BiFunction<Genotype,Genotype,Double>	ImmutableFitnessSharing.distance()

Method parameters in net.bmahe.genetics4j.core.postevaluationprocess with type arguments of type Genotype

Modifier and Type	Method	Description
final ImmutableFitnessSharing.Builder<T>	ImmutableFitnessSharing.Builder.distance(BiFunction<Genotype,Genotype,Double> distance)	Initializes the value for the distance attribute.
final ImmutableFitnessSharing.Builder<T>	ImmutableFitnessSharing.Builder.distance(BiFunction<Genotype,Genotype,Double> distance)	Initializes the value for the distance attribute.
static FitnessSharing<Double>	FitnessSharing.of(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing)
static FitnessSharing<Double>	FitnessSharing.of(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing)
static <T extends Comparable<T>> ImmutableFitnessSharing<T>	ImmutableFitnessSharing.of(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing, BiFunction<Individual<T>,Double,T> scaleFitness)	Construct a new immutable FitnessSharing instance.
static <T extends Comparable<T>> ImmutableFitnessSharing<T>	ImmutableFitnessSharing.of(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing, BiFunction<Individual<T>,Double,T> scaleFitness)	Construct a new immutable FitnessSharing instance.
static FitnessSharing<Float>	FitnessSharing.ofFloatFitness(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing)
static FitnessSharing<Float>	FitnessSharing.ofFloatFitness(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing)
static FitnessSharing<Double>	FitnessSharing.ofStandard(BiFunction<Genotype,Genotype,Double> distance, double sigma)
static FitnessSharing<Double>	FitnessSharing.ofStandard(BiFunction<Genotype,Genotype,Double> distance, double sigma)
static FitnessSharing<Double>	FitnessSharing.ofStandard(BiFunction<Genotype,Genotype,Double> distance, double sigma, double alpha)
static FitnessSharing<Double>	FitnessSharing.ofStandard(BiFunction<Genotype,Genotype,Double> distance, double sigma, double alpha)
final ImmutableFitnessSharing<T>	ImmutableFitnessSharing.withDistance(BiFunction<Genotype,Genotype,Double> value)	Copy the current immutable object by setting a value for the distance attribute.
final ImmutableFitnessSharing<T>	ImmutableFitnessSharing.withDistance(BiFunction<Genotype,Genotype,Double> value)	Copy the current immutable object by setting a value for the distance attribute.

Constructor parameters in net.bmahe.genetics4j.core.postevaluationprocess with type arguments of type Genotype

Modifier	Constructor	Description
private	ImmutableFitnessSharing(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing, BiFunction<Individual<T>,Double,T> scaleFitness)
private	ImmutableFitnessSharing(BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing, BiFunction<Individual<T>,Double,T> scaleFitness)
private	ImmutableFitnessSharing(ImmutableFitnessSharing<T> original, BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing, BiFunction<Individual<T>,Double,T> scaleFitness)
private	ImmutableFitnessSharing(ImmutableFitnessSharing<T> original, BiFunction<Genotype,Genotype,Double> distance, Function<Double,Double> sharing, BiFunction<Individual<T>,Double,T> scaleFitness)

Uses of Genotype in net.bmahe.genetics4j.core.replacement

Method parameters in net.bmahe.genetics4j.core.replacement with type arguments of type Genotype

Modifier and Type	Method	Description
Population<T>	DeleteNLastImpl.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> populationScores, List<Genotype> offsprings, List<T> offspringScores)
Population<T>	ElitismImpl.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> populationScores, List<Genotype> offsprings, List<T> offspringScores)
Population<T>	GenerationalReplacementImpl.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> populationScores, List<Genotype> offsprings, List<T> offspringScores)
Population<T>	ReplacementStrategyImplementor.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> populationScores, List<Genotype> offsprings, List<T> offspringScores)

Uses of Genotype in net.bmahe.genetics4j.core.selection

Method parameters in net.bmahe.genetics4j.core.selection with type arguments of type Genotype

Modifier and Type	Method	Description
private List<Individual<T>>	MultiTournamentsSelectionPolicyHandler.pickRandomCandidates(RandomGenerator randomGenerator, List<Genotype> population, List<T> fitnessScore, int numCandidates)
protected Individual<T>	DoubleTournamentSelector.randomIndividual(List<Genotype> population, List<T> fitnessScore)
private Individual<T>	MultiTournamentsSelectionPolicyHandler.runTournament(Tournament<T> tournament, List<Genotype> population, List<T> fitnessScore, List<Individual<T>> candidates)
Population<T>	DoubleTournamentSelector.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> fitnessScore)
Population<T>	ProportionalTournamentSelector.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> fitnessScore)
Population<T>	Selector.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> fitnessScore)	Selects a specified number of individuals from the given population based on their fitness values.
Population<T>	TournamentSelector.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> fitnessScore)
protected Individual<T>	DoubleTournamentSelector.selectForFitness(AbstractEAConfiguration<T> eaConfiguration, Comparator<Individual<T>> fitnessComparator, int numCandidates, List<Genotype> population, List<T> fitnessScore)

Uses of Genotype in net.bmahe.genetics4j.core.spec

Fields in net.bmahe.genetics4j.core.spec declared as Genotype

Modifier and Type	Field	Description
private Genotype	ImmutableGenotypeFitness.Builder.genotype
private final Genotype	ImmutableGenotypeFitness.genotype

Fields in net.bmahe.genetics4j.core.spec with type parameters of type Genotype

Modifier and Type	Field	Description
private Supplier<Genotype>	ImmutableEAConfiguration.Builder.genotypeGenerator
private final Supplier<Genotype>	ImmutableEAConfiguration.genotypeGenerator
private Supplier<Genotype>	ImmutableEAConfigurationBulkAsync.Builder.genotypeGenerator
private final Supplier<Genotype>	ImmutableEAConfigurationBulkAsync.genotypeGenerator
private List<Genotype>	ImmutableEvolutionResult.Builder.population
private final List<Genotype>	ImmutableEvolutionResult.population
private Collection<Genotype>	ImmutableEAConfiguration.Builder.seedPopulation
private Collection<Genotype>	ImmutableEAConfiguration.InitShim.seedPopulation
private final Collection<Genotype>	ImmutableEAConfiguration.seedPopulation
private Collection<Genotype>	ImmutableEAConfigurationBulkAsync.Builder.seedPopulation
private Collection<Genotype>	ImmutableEAConfigurationBulkAsync.InitShim.seedPopulation
private final Collection<Genotype>	ImmutableEAConfigurationBulkAsync.seedPopulation

Methods in net.bmahe.genetics4j.core.spec that return Genotype

Modifier and Type	Method	Description
Genotype	EvolutionResult.bestGenotype()
Genotype	GenotypeFitness.genotype()
Genotype	ImmutableGenotypeFitness.genotype()

Methods in net.bmahe.genetics4j.core.spec that return types with arguments of type Genotype

Modifier and Type	Method	Description
abstract Optional<Supplier<Genotype>>	AbstractEAConfiguration.genotypeGenerator()	Defines how to generate individuals
Optional<Supplier<Genotype>>	ImmutableEAConfiguration.genotypeGenerator()	Defines how to generate individuals
Optional<Supplier<Genotype>>	ImmutableEAConfigurationBulkAsync.genotypeGenerator()	Defines how to generate individuals
abstract List<Genotype>	EvolutionResult.population()
List<Genotype>	ImmutableEvolutionResult.population()
Collection<Genotype>	AbstractEAConfiguration.seedPopulation()	Seed the initial population with specific individuals
(package private) Collection<Genotype>	ImmutableEAConfiguration.InitShim.seedPopulation()
Collection<Genotype>	ImmutableEAConfiguration.seedPopulation()	Seed the initial population with specific individuals
(package private) Collection<Genotype>	ImmutableEAConfigurationBulkAsync.InitShim.seedPopulation()
Collection<Genotype>	ImmutableEAConfigurationBulkAsync.seedPopulation()	Seed the initial population with specific individuals

Methods in net.bmahe.genetics4j.core.spec with parameters of type Genotype

Modifier and Type	Method	Description
final ImmutableEvolutionResult.Builder<T>	ImmutableEvolutionResult.Builder.addPopulation(Genotype element)	Adds one element to population list.
final ImmutableEvolutionResult.Builder<T>	ImmutableEvolutionResult.Builder.addPopulation(Genotype... elements)	Adds elements to population list.
final ImmutableGenotypeFitness.Builder<T>	ImmutableGenotypeFitness.Builder.genotype(Genotype genotype)	Initializes the value for the genotype attribute.
static <U> GenotypeFitness<U>	GenotypeFitness.of(Genotype genotype, U fitness)
static <T> ImmutableGenotypeFitness<T>	ImmutableGenotypeFitness.of(Genotype genotype, T fitness)	Construct a new immutable GenotypeFitness instance.
final ImmutableGenotypeFitness<T>	ImmutableGenotypeFitness.withGenotype(Genotype value)	Copy the current immutable object by setting a value for the genotype attribute.
final ImmutableEvolutionResult<T>	ImmutableEvolutionResult.withPopulation(Genotype... elements)	Copy the current immutable object with elements that replace the content of population.

Method parameters in net.bmahe.genetics4j.core.spec with type arguments of type Genotype

Modifier and Type	Method	Description
final ImmutableEvolutionResult.Builder<T>	ImmutableEvolutionResult.Builder.addAllPopulation(Iterable<? extends Genotype> elements)	Adds elements to population list.
final EAConfiguration.Builder<T>	ImmutableEAConfiguration.Builder.genotypeGenerator(Supplier<Genotype> genotypeGenerator)	Initializes the optional value genotypeGenerator to genotypeGenerator.
final EAConfiguration.Builder<T>	ImmutableEAConfiguration.Builder.genotypeGenerator(Optional<? extends Supplier<Genotype>> genotypeGenerator)	Initializes the optional value genotypeGenerator to genotypeGenerator.
final EAConfigurationBulkAsync.Builder<T>	ImmutableEAConfigurationBulkAsync.Builder.genotypeGenerator(Supplier<Genotype> genotypeGenerator)	Initializes the optional value genotypeGenerator to genotypeGenerator.
final EAConfigurationBulkAsync.Builder<T>	ImmutableEAConfigurationBulkAsync.Builder.genotypeGenerator(Optional<? extends Supplier<Genotype>> genotypeGenerator)	Initializes the optional value genotypeGenerator to genotypeGenerator.
static <T extends Comparable<T>> ImmutableEvolutionResult<T>	ImmutableEvolutionResult.of(AbstractEAConfiguration<T> eaConfiguration, long generation, Iterable<? extends Genotype> population, Iterable<? extends T> fitness)	Construct a new immutable EvolutionResult instance.
static <T extends Comparable<T>> ImmutableEvolutionResult<T>	ImmutableEvolutionResult.of(AbstractEAConfiguration<T> eaConfiguration, long generation, List<Genotype> population, List<T> fitness)	Construct a new immutable EvolutionResult instance.
final ImmutableEvolutionResult.Builder<T>	ImmutableEvolutionResult.Builder.population(Iterable<? extends Genotype> elements)	Sets or replaces all elements for population list.
final EAConfiguration.Builder<T>	ImmutableEAConfiguration.Builder.seedPopulation(Collection<Genotype> seedPopulation)	Initializes the value for the seedPopulation attribute.
(package private) void	ImmutableEAConfiguration.InitShim.seedPopulation(Collection<Genotype> seedPopulation)
final EAConfigurationBulkAsync.Builder<T>	ImmutableEAConfigurationBulkAsync.Builder.seedPopulation(Collection<Genotype> seedPopulation)	Initializes the value for the seedPopulation attribute.
(package private) void	ImmutableEAConfigurationBulkAsync.InitShim.seedPopulation(Collection<Genotype> seedPopulation)
final ImmutableEAConfiguration<T>	ImmutableEAConfiguration.withGenotypeGenerator(Supplier<Genotype> value)	Copy the current immutable object by setting a present value for the optional genotypeGenerator attribute.
final ImmutableEAConfiguration<T>	ImmutableEAConfiguration.withGenotypeGenerator(Optional<? extends Supplier<Genotype>> optional)	Copy the current immutable object by setting an optional value for the genotypeGenerator attribute.
final ImmutableEAConfigurationBulkAsync<T>	ImmutableEAConfigurationBulkAsync.withGenotypeGenerator(Supplier<Genotype> value)	Copy the current immutable object by setting a present value for the optional genotypeGenerator attribute.
final ImmutableEAConfigurationBulkAsync<T>	ImmutableEAConfigurationBulkAsync.withGenotypeGenerator(Optional<? extends Supplier<Genotype>> optional)	Copy the current immutable object by setting an optional value for the genotypeGenerator attribute.
final ImmutableEvolutionResult<T>	ImmutableEvolutionResult.withPopulation(Iterable<? extends Genotype> elements)	Copy the current immutable object with elements that replace the content of population.
final ImmutableEAConfiguration<T>	ImmutableEAConfiguration.withSeedPopulation(Collection<Genotype> value)	Copy the current immutable object by setting a value for the seedPopulation attribute.
final ImmutableEAConfigurationBulkAsync<T>	ImmutableEAConfigurationBulkAsync.withSeedPopulation(Collection<Genotype> value)	Copy the current immutable object by setting a value for the seedPopulation attribute.

Constructors in net.bmahe.genetics4j.core.spec with parameters of type Genotype

Modifier	Constructor	Description
private	ImmutableGenotypeFitness(Genotype genotype, T fitness)
private	ImmutableGenotypeFitness(ImmutableGenotypeFitness<T> original, Genotype genotype, T fitness)

Constructor parameters in net.bmahe.genetics4j.core.spec with type arguments of type Genotype

Modifier	Constructor	Description
private	ImmutableEAConfiguration(List<ChromosomeSpec> chromosomeSpecs, SelectionPolicy parentSelectionPolicy, CombinationPolicy combinationPolicy, List<MutationPolicy> mutationPolicies, ReplacementStrategy replacementStrategy, Function<Population<T>,Population<T>> postEvaluationProcessor, Termination<T> termination, Supplier<Genotype> genotypeGenerator, Collection<Genotype> seedPopulation, GenotypeCombinator genotypeCombinator, double offspringGeneratedRatio, Optimization optimization, Fitness<T> fitness)
private	ImmutableEAConfiguration(List<ChromosomeSpec> chromosomeSpecs, SelectionPolicy parentSelectionPolicy, CombinationPolicy combinationPolicy, List<MutationPolicy> mutationPolicies, ReplacementStrategy replacementStrategy, Function<Population<T>,Population<T>> postEvaluationProcessor, Termination<T> termination, Supplier<Genotype> genotypeGenerator, Collection<Genotype> seedPopulation, GenotypeCombinator genotypeCombinator, double offspringGeneratedRatio, Optimization optimization, Fitness<T> fitness)
private	ImmutableEAConfigurationBulkAsync(List<ChromosomeSpec> chromosomeSpecs, SelectionPolicy parentSelectionPolicy, CombinationPolicy combinationPolicy, List<MutationPolicy> mutationPolicies, ReplacementStrategy replacementStrategy, Function<Population<T>,Population<T>> postEvaluationProcessor, Termination<T> termination, Supplier<Genotype> genotypeGenerator, Collection<Genotype> seedPopulation, GenotypeCombinator genotypeCombinator, double offspringGeneratedRatio, Optimization optimization, FitnessBulkAsync<T> fitness)
private	ImmutableEAConfigurationBulkAsync(List<ChromosomeSpec> chromosomeSpecs, SelectionPolicy parentSelectionPolicy, CombinationPolicy combinationPolicy, List<MutationPolicy> mutationPolicies, ReplacementStrategy replacementStrategy, Function<Population<T>,Population<T>> postEvaluationProcessor, Termination<T> termination, Supplier<Genotype> genotypeGenerator, Collection<Genotype> seedPopulation, GenotypeCombinator genotypeCombinator, double offspringGeneratedRatio, Optimization optimization, FitnessBulkAsync<T> fitness)
private	ImmutableEvolutionResult(AbstractEAConfiguration<T> eaConfiguration, long generation, Iterable<? extends Genotype> population, Iterable<? extends T> fitness)
private	ImmutableEvolutionResult(ImmutableEvolutionResult<T> original, AbstractEAConfiguration<T> eaConfiguration, long generation, List<Genotype> population, List<T> fitness)

Uses of Genotype in net.bmahe.genetics4j.core.termination

Method parameters in net.bmahe.genetics4j.core.termination with type arguments of type Genotype

Modifier and Type	Method	Description
boolean	Termination.isDone(AbstractEAConfiguration<T> eaConfiguration, long generation, List<Genotype> population, List<T> fitness)	Determines whether the evolutionary algorithm should terminate.

Uses of Genotype in net.bmahe.genetics4j.core.util

Fields in net.bmahe.genetics4j.core.util with type parameters of type Genotype

Modifier and Type	Field	Description
private final Optional<Supplier<Genotype>>	GenotypeGenerator.populationGenerator

Methods in net.bmahe.genetics4j.core.util that return types with arguments of type Genotype

Modifier and Type	Method	Description
List<Genotype>	GenotypeGenerator.generateGenotypes(int numPopulation)	Generates a specified number of random genotypes for initial population creation.

Uses of Genotype in net.bmahe.genetics4j.extras.evolutionlisteners

Fields in net.bmahe.genetics4j.extras.evolutionlisteners declared as Genotype

Modifier and Type	Field	Description
private Genotype	ImmutableEvolutionStep.Builder.individual
private final Genotype	ImmutableEvolutionStep.individual

Methods in net.bmahe.genetics4j.extras.evolutionlisteners that return Genotype

Modifier and Type	Method	Description
Genotype	EvolutionStep.individual()
Genotype	ImmutableEvolutionStep.individual()

Methods in net.bmahe.genetics4j.extras.evolutionlisteners with parameters of type Genotype

Modifier and Type	Method	Description
final EvolutionStep.Builder<T,U>	ImmutableEvolutionStep.Builder.individual(Genotype individual)	Initializes the value for the individual attribute.
static <T extends Comparable<T>, U> EvolutionStep<T,U>	EvolutionStep.of(Optional<U> context, long generation, int individualIndex, Genotype individual, T fitness, boolean isDone)
static <T extends Comparable<T>, U> ImmutableEvolutionStep<T,U>	ImmutableEvolutionStep.of(Optional<? extends U> context, long generation, int individualIndex, Genotype individual, T fitness, boolean isDone)	Construct a new immutable EvolutionStep instance.
final ImmutableEvolutionStep<T,U>	ImmutableEvolutionStep.withIndividual(Genotype value)	Copy the current immutable object by setting a value for the individual attribute.

Method parameters in net.bmahe.genetics4j.extras.evolutionlisteners with type arguments of type Genotype

Modifier and Type	Method	Description
U	GenerationFunction.apply(long generation, List<Genotype> population, List<T> fitness, boolean isDone)
void	CSVEvolutionListener.onEvolution(long generation, List<Genotype> population, List<T> fitness, boolean isDone)

Constructors in net.bmahe.genetics4j.extras.evolutionlisteners with parameters of type Genotype

Modifier	Constructor	Description
private	ImmutableEvolutionStep(Optional<? extends U> context, long generation, int individualIndex, Genotype individual, T fitness, boolean isDone)
private	ImmutableEvolutionStep(ImmutableEvolutionStep<T,U> original, U context, long generation, int individualIndex, Genotype individual, T fitness, boolean isDone)

Uses of Genotype in net.bmahe.genetics4j.gp.mutation

Methods in net.bmahe.genetics4j.gp.mutation that return Genotype

Modifier and Type	Method	Description
Genotype	NodeReplacementMutator.mutate(Genotype original)
Genotype	ProgramRandomMutateMutator.mutate(Genotype originalGenotype)
Genotype	ProgramRandomPruneMutator.mutate(Genotype original)
Genotype	ProgramRulesApplicatorMutator.mutate(Genotype original)
Genotype	TrimTreeMutator.mutate(Genotype originalGenotype)

Methods in net.bmahe.genetics4j.gp.mutation with parameters of type Genotype

Modifier and Type	Method	Description
Genotype	NodeReplacementMutator.mutate(Genotype original)
Genotype	ProgramRandomMutateMutator.mutate(Genotype originalGenotype)
Genotype	ProgramRandomPruneMutator.mutate(Genotype original)
Genotype	ProgramRulesApplicatorMutator.mutate(Genotype original)
Genotype	TrimTreeMutator.mutate(Genotype originalGenotype)

Uses of Genotype in net.bmahe.genetics4j.gp.postevaluationprocess

Fields in net.bmahe.genetics4j.gp.postevaluationprocess with type parameters of type Genotype

Modifier and Type	Field	Description
private Function<Genotype,Integer>	ImmutableTarpeianMethod.Builder.sizeFunction
private final Function<Genotype,Integer>	ImmutableTarpeianMethod.sizeFunction

Methods in net.bmahe.genetics4j.gp.postevaluationprocess that return types with arguments of type Genotype

Modifier and Type	Method	Description
Function<Genotype,Integer>	ImmutableTarpeianMethod.sizeFunction()
abstract Function<Genotype,Integer>	TarpeianMethod.sizeFunction()

Method parameters in net.bmahe.genetics4j.gp.postevaluationprocess with type arguments of type Genotype

Modifier and Type	Method	Description
static ImmutableTarpeianMethod	ImmutableTarpeianMethod.of(RandomGenerator randomGenerator, Function<Genotype,Integer> sizeFunction, double probability, double newValue)	Construct a new immutable TarpeianMethod instance.
static TarpeianMethod	TarpeianMethod.of(RandomGenerator randomGenerator, Function<Genotype,Integer> sizeFunction, double probability, double newValue)
final ImmutableTarpeianMethod.Builder	ImmutableTarpeianMethod.Builder.sizeFunction(Function<Genotype,Integer> sizeFunction)	Initializes the value for the sizeFunction attribute.
final ImmutableTarpeianMethod	ImmutableTarpeianMethod.withSizeFunction(Function<Genotype,Integer> value)	Copy the current immutable object by setting a value for the sizeFunction attribute.

Constructor parameters in net.bmahe.genetics4j.gp.postevaluationprocess with type arguments of type Genotype

Modifier	Constructor	Description
private	ImmutableTarpeianMethod(RandomGenerator randomGenerator, Function<Genotype,Integer> sizeFunction, double probability, double newValue)
private	ImmutableTarpeianMethod(ImmutableTarpeianMethod original, RandomGenerator randomGenerator, Function<Genotype,Integer> sizeFunction, double probability, double newValue)

Uses of Genotype in net.bmahe.genetics4j.gp.utils

Methods in net.bmahe.genetics4j.gp.utils with parameters of type Genotype

Modifier and Type	Method	Description
static <T> boolean	TreeNodeUtils.areSame(Genotype genotypeA, Genotype genotypeB, int chromosomeIndex)
static <T> int	TreeNodeUtils.compare(Genotype genotypeA, Genotype genotypeB, int chromosomeIndex)
static String	TreeNodeUtils.toStringTreeNode(Genotype genotype, int chromosomeIndex)

Uses of Genotype in net.bmahe.genetics4j.gpu

Method parameters in net.bmahe.genetics4j.gpu with type arguments of type Genotype

Modifier and Type	Method	Description
List<T>	GPUFitnessEvaluator.evaluate(long generation, List<Genotype> genotypes)	Evaluates fitness for a population of genotypes using GPU acceleration.

Uses of Genotype in net.bmahe.genetics4j.gpu.spec

Fields in net.bmahe.genetics4j.gpu.spec with type parameters of type Genotype

Modifier and Type	Field	Description
private Supplier<Genotype>	ImmutableGPUEAConfiguration.Builder.genotypeGenerator
private final Supplier<Genotype>	ImmutableGPUEAConfiguration.genotypeGenerator
private Collection<Genotype>	ImmutableGPUEAConfiguration.Builder.seedPopulation
private Collection<Genotype>	ImmutableGPUEAConfiguration.InitShim.seedPopulation
private final Collection<Genotype>	ImmutableGPUEAConfiguration.seedPopulation

Methods in net.bmahe.genetics4j.gpu.spec that return types with arguments of type Genotype

Modifier and Type	Method	Description
Optional<Supplier<Genotype>>	ImmutableGPUEAConfiguration.genotypeGenerator()
(package private) Collection<Genotype>	ImmutableGPUEAConfiguration.InitShim.seedPopulation()
Collection<Genotype>	ImmutableGPUEAConfiguration.seedPopulation()

Method parameters in net.bmahe.genetics4j.gpu.spec with type arguments of type Genotype

Modifier and Type	Method	Description
final GPUEAConfiguration.Builder<T>	ImmutableGPUEAConfiguration.Builder.genotypeGenerator(Supplier<Genotype> genotypeGenerator)	Initializes the optional value genotypeGenerator to genotypeGenerator.
final GPUEAConfiguration.Builder<T>	ImmutableGPUEAConfiguration.Builder.genotypeGenerator(Optional<? extends Supplier<Genotype>> genotypeGenerator)	Initializes the optional value genotypeGenerator to genotypeGenerator.
final GPUEAConfiguration.Builder<T>	ImmutableGPUEAConfiguration.Builder.seedPopulation(Collection<Genotype> seedPopulation)	Initializes the value for the seedPopulation attribute.
(package private) void	ImmutableGPUEAConfiguration.InitShim.seedPopulation(Collection<Genotype> seedPopulation)
final ImmutableGPUEAConfiguration<T>	ImmutableGPUEAConfiguration.withGenotypeGenerator(Supplier<Genotype> value)	Copy the current immutable object by setting a present value for the optional genotypeGenerator attribute.
final ImmutableGPUEAConfiguration<T>	ImmutableGPUEAConfiguration.withGenotypeGenerator(Optional<? extends Supplier<Genotype>> optional)	Copy the current immutable object by setting an optional value for the genotypeGenerator attribute.
final ImmutableGPUEAConfiguration<T>	ImmutableGPUEAConfiguration.withSeedPopulation(Collection<Genotype> value)	Copy the current immutable object by setting a value for the seedPopulation attribute.

Constructor parameters in net.bmahe.genetics4j.gpu.spec with type arguments of type Genotype

Modifier	Constructor	Description
private	ImmutableGPUEAConfiguration(List<ChromosomeSpec> chromosomeSpecs, SelectionPolicy parentSelectionPolicy, CombinationPolicy combinationPolicy, List<MutationPolicy> mutationPolicies, ReplacementStrategy replacementStrategy, Function<Population<T>,Population<T>> postEvaluationProcessor, Termination<T> termination, Supplier<Genotype> genotypeGenerator, Collection<Genotype> seedPopulation, GenotypeCombinator genotypeCombinator, double offspringGeneratedRatio, Optimization optimization, Program program, OpenCLFitness<T> fitness)
private	ImmutableGPUEAConfiguration(List<ChromosomeSpec> chromosomeSpecs, SelectionPolicy parentSelectionPolicy, CombinationPolicy combinationPolicy, List<MutationPolicy> mutationPolicies, ReplacementStrategy replacementStrategy, Function<Population<T>,Population<T>> postEvaluationProcessor, Termination<T> termination, Supplier<Genotype> genotypeGenerator, Collection<Genotype> seedPopulation, GenotypeCombinator genotypeCombinator, double offspringGeneratedRatio, Optimization optimization, Program program, OpenCLFitness<T> fitness)

Uses of Genotype in net.bmahe.genetics4j.gpu.spec.fitness

Method parameters in net.bmahe.genetics4j.gpu.spec.fitness with type arguments of type Genotype

Modifier and Type	Method	Description
void	MultiStageFitness.afterEvaluation(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)
void	OpenCLFitness.afterEvaluation(long generation, List<Genotype> genotypes)	Global cleanup hook called after each generation evaluation.
void	OpenCLFitness.afterEvaluation(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)	Per-device cleanup hook called after each device partition evaluation.
void	SingleKernelFitness.afterEvaluation(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)
private void	MultiStageFitness.allocateLocalMemory(OpenCLExecutionContext openCLExecutionContext, StageDescriptor stageDescriptor, long generation, List<Genotype> genotypes, KernelExecutionContext kernelExecutionContext)
void	OpenCLFitness.beforeEvaluation(long generation, List<Genotype> genotypes)	Global preparation hook called before each generation evaluation.
void	OpenCLFitness.beforeEvaluation(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)	Per-device preparation hook called before each device partition evaluation.
void	SingleKernelFitness.beforeEvaluation(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)
List<T>	FitnessExtractor.compute(OpenCLExecutionContext openCLExecutionContext, KernelExecutionContext kernelExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes, ResultExtractor resultExtractor)
int	MultipleComputer.compute(OpenCLExecutionContext openCLExecutionContext, KernelExecutionContext kernelExecutionContext, long generation, List<Genotype> genotypes)
CompletableFuture<List<T>>	MultiStageFitness.compute(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)
abstract CompletableFuture<List<T>>	OpenCLFitness.compute(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)	Performs the actual fitness computation using OpenCL kernels on the GPU.
CompletableFuture<List<T>>	SingleKernelFitness.compute(OpenCLExecutionContext openCLExecutionContext, ExecutorService executorService, long generation, List<Genotype> genotypes)
protected void	MultiStageFitness.loadData(OpenCLExecutionContext openCLExecutionContext, StageDescriptor stageDescriptor, Map<Integer,CLData> data, long generation, List<Genotype> genotypes)

Uses of Genotype in net.bmahe.genetics4j.gpu.spec.fitness.cldata

Method parameters in net.bmahe.genetics4j.gpu.spec.fitness.cldata with type arguments of type Genotype

Modifier and Type	Method	Description
T	DataSupplier.get(OpenCLExecutionContext openCLExecutionContext, long generation, List<Genotype> genotypes)
CLData	DataLoader.load(OpenCLExecutionContext openCLExecutionContext, long generation, List<Genotype> genotypes)	Loads genotype data into OpenCL device memory for GPU processing.
long	LocalMemoryAllocator.load(OpenCLExecutionContext openCLExecutionContext, KernelExecutionContext kernelExecutionContext, long generation, List<Genotype> genotypes)
CLData	ResultAllocator.load(OpenCLExecutionContext openCLExecutionContext, KernelExecutionContext kernelExecutionContext, long generation, List<Genotype> genotypes)

Uses of Genotype in net.bmahe.genetics4j.gpu.spec.fitness.kernelcontext

Method parameters in net.bmahe.genetics4j.gpu.spec.fitness.kernelcontext with type arguments of type Genotype

Modifier and Type	Method	Description
KernelExecutionContext	KernelExecutionContextComputer.compute(OpenCLExecutionContext openCLExecutionContext, String kernelName, long generation, List<Genotype> genotypes)

Uses of Genotype in net.bmahe.genetics4j.moo.nsga2.impl

Method parameters in net.bmahe.genetics4j.moo.nsga2.impl with type arguments of type Genotype

Modifier and Type	Method	Description
Population<T>	NSGA2Selector.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> fitnessScore)
Population<T>	TournamentNSGA2Selector.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> fitnessScore)

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

Fields in net.bmahe.genetics4j.moo.nsga2.spec with type parameters of type Genotype

Modifier and Type	Field	Description
private Optional<Comparator<Genotype>>	ImmutableNSGA2Selection.Builder.deduplicate
private final Optional<Comparator<Genotype>>	ImmutableNSGA2Selection.deduplicate
private Optional<Comparator<Genotype>>	ImmutableNSGA2Selection.InitShim.deduplicate
private Optional<Comparator<Genotype>>	ImmutableTournamentNSGA2Selection.Builder.deduplicate
private final Optional<Comparator<Genotype>>	ImmutableTournamentNSGA2Selection.deduplicate
private Optional<Comparator<Genotype>>	ImmutableTournamentNSGA2Selection.InitShim.deduplicate

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

Modifier and Type	Method	Description
Optional<Comparator<Genotype>>	ImmutableNSGA2Selection.deduplicate()	Comparator used for deduplication of solution prior to processing
(package private) Optional<Comparator<Genotype>>	ImmutableNSGA2Selection.InitShim.deduplicate()
Optional<Comparator<Genotype>>	ImmutableTournamentNSGA2Selection.deduplicate()	Comparator used for deduplication of solution prior to processing
(package private) Optional<Comparator<Genotype>>	ImmutableTournamentNSGA2Selection.InitShim.deduplicate()
Optional<Comparator<Genotype>>	NSGA2Selection.deduplicate()	Comparator used for deduplication of solution prior to processing
Optional<Comparator<Genotype>>	TournamentNSGA2Selection.deduplicate()	Comparator used for deduplication of solution prior to processing

Method parameters in net.bmahe.genetics4j.moo.nsga2.spec with type arguments of type Genotype

Modifier and Type	Method	Description
final NSGA2Selection.Builder<T>	ImmutableNSGA2Selection.Builder.deduplicate(Optional<Comparator<Genotype>> deduplicate)	Initializes the value for the deduplicate attribute.
(package private) void	ImmutableNSGA2Selection.InitShim.deduplicate(Optional<Comparator<Genotype>> deduplicate)
final TournamentNSGA2Selection.Builder<T>	ImmutableTournamentNSGA2Selection.Builder.deduplicate(Optional<Comparator<Genotype>> deduplicate)	Initializes the value for the deduplicate attribute.
(package private) void	ImmutableTournamentNSGA2Selection.InitShim.deduplicate(Optional<Comparator<Genotype>> deduplicate)
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, Comparator<Genotype> deduplicate)	Factory method to instantiate a Tournament based NSGA2 selection when fitness is defined as a FitnessVector of a Number
final ImmutableNSGA2Selection<T>	ImmutableNSGA2Selection.withDeduplicate(Optional<Comparator<Genotype>> value)	Copy the current immutable object by setting a value for the deduplicate attribute.
final ImmutableTournamentNSGA2Selection<T>	ImmutableTournamentNSGA2Selection.withDeduplicate(Optional<Comparator<Genotype>> value)	Copy the current immutable object by setting a value for the deduplicate attribute.

Constructor parameters in net.bmahe.genetics4j.moo.nsga2.spec with type arguments of type Genotype

Modifier	Constructor	Description
private	ImmutableNSGA2Selection(int numberObjectives, Comparator<T> dominance, Optional<Comparator<Genotype>> deduplicate, Function<Integer,Comparator<T>> objectiveComparator, ObjectiveDistance<T> distance)
private	ImmutableTournamentNSGA2Selection(int numberObjectives, Comparator<T> dominance, Optional<Comparator<Genotype>> deduplicate, Function<Integer,Comparator<T>> objectiveComparator, ObjectiveDistance<T> distance, int numCandidates)

Uses of Genotype in net.bmahe.genetics4j.moo.spea2.replacement

Method parameters in net.bmahe.genetics4j.moo.spea2.replacement with type arguments of type Genotype

Modifier and Type	Method	Description
Population<T>	SPEA2ReplacementStrategyImplementor.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> population, List<T> populationScores, List<Genotype> offsprings, List<T> offspringScores)

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

Fields in net.bmahe.genetics4j.moo.spea2.spec.replacement with type parameters of type Genotype

Modifier and Type	Field	Description
private Optional<Comparator<Genotype>>	ImmutableSPEA2Replacement.Builder.deduplicate
private final Optional<Comparator<Genotype>>	ImmutableSPEA2Replacement.deduplicate
private Optional<Comparator<Genotype>>	ImmutableSPEA2Replacement.InitShim.deduplicate

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

Modifier and Type	Method	Description
Optional<Comparator<Genotype>>	ImmutableSPEA2Replacement.deduplicate()	Comparator used for deduplication of solution prior to processing
(package private) Optional<Comparator<Genotype>>	ImmutableSPEA2Replacement.InitShim.deduplicate()
Optional<Comparator<Genotype>>	SPEA2Replacement.deduplicate()	Comparator used for deduplication of solution prior to processing

Method parameters in net.bmahe.genetics4j.moo.spea2.spec.replacement with type arguments of type Genotype

Modifier and Type	Method	Description
final SPEA2Replacement.Builder<T>	ImmutableSPEA2Replacement.Builder.deduplicate(Optional<Comparator<Genotype>> deduplicate)	Initializes the value for the deduplicate attribute.
(package private) void	ImmutableSPEA2Replacement.InitShim.deduplicate(Optional<Comparator<Genotype>> deduplicate)
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
final ImmutableSPEA2Replacement<T>	ImmutableSPEA2Replacement.withDeduplicate(Optional<Comparator<Genotype>> value)	Copy the current immutable object by setting a value for the deduplicate attribute.

Constructor parameters in net.bmahe.genetics4j.moo.spea2.spec.replacement with type arguments of type Genotype

Modifier	Constructor	Description
private	ImmutableSPEA2Replacement(Comparator<T> dominance, Optional<Comparator<Genotype>> deduplicate, Optional<Integer> k, BiFunction<T,T,Double> distance)

Uses of Genotype in net.bmahe.genetics4j.neat

Methods in net.bmahe.genetics4j.neat with parameters of type Genotype

Modifier and Type	Method	Description
static float	NeatUtils.compatibilityDistance(Genotype genotype1, Genotype genotype2, int chromosomeIndex, float c1, float c2, float c3)

Uses of Genotype in net.bmahe.genetics4j.neat.selection

Method parameters in net.bmahe.genetics4j.neat.selection with type arguments of type Genotype

Modifier and Type	Method	Description
Population<T>	NeatSelectorImpl.select(AbstractEAConfiguration<T> eaConfiguration, int numIndividuals, List<Genotype> genotypes, List<T> fitnessScore)

Uses of Genotype in net.bmahe.genetics4j.samples

Methods in net.bmahe.genetics4j.samples with parameters of type Genotype

Modifier and Type	Method	Description
static int	FitnessSharingExample.toPhenotype(Genotype genotype)

Uses of Genotype in net.bmahe.genetics4j.samples.clustering

Methods in net.bmahe.genetics4j.samples.clustering with parameters of type Genotype

Modifier and Type	Method	Description
static double[][]	PhenotypeUtils.toPhenotype(Genotype genotype)

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

Fields in net.bmahe.genetics4j.samples.mixturemodel with type parameters of type Genotype

Modifier and Type	Field	Description
static final Comparator<Genotype>	Main.deduplicator
private final Comparator<Genotype>	MooCPU.deduplicator
private final Comparator<Genotype>	MooGPU.deduplicator

Methods in net.bmahe.genetics4j.samples.mixturemodel that return Genotype

Modifier and Type	Method	Description
static Genotype	Main.toGenotype(int maxPossibleDistributions, org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution mixtureMultivariateNormalDistribution)

Methods in net.bmahe.genetics4j.samples.mixturemodel with parameters of type Genotype

Modifier and Type	Method	Description
static int[]	ClusteringUtils.assignClustersDoubleChromosome(int distributionNumParameters, double[][] samples, Genotype genotype)
static int[]	ClusteringUtils.assignClustersFloatChromosome(int distributionNumParameters, double[][] samples, Genotype genotype)

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

Modifier and Type	Method	Description
EvolutionResult<FitnessVector<Float>>	MooCPU.run(int maxPossibleDistributions, double[][] samples, float[] x, float[] y, String algorithmName, Collection<Genotype> seedPopulation)
void	MooGPU.run(int maxPossibleDistributions, int numDistributions, double[][] samplesDouble, float[][] samples, float[] x, float[] y, String algorithmName, Collection<Genotype> seedPopulation, EvolutionResult<FitnessVector<Float>> bestCPUResult)
EvolutionResult<Double>	SingleObjectiveMethod.run(int maxPossibleDistributions, double[][] samples, float[] x, float[] y, String algorithmName, Collection<Genotype> seedPopulation)

Constructor parameters in net.bmahe.genetics4j.samples.mixturemodel with type arguments of type Genotype

Modifier	Constructor	Description
	MooCPU(int _distributionNumParameters, Comparator<Genotype> _deduplicator, String _baseDir, int _maxGenerations)
	MooGPU(int _distributionNumParameters, Comparator<Genotype> _deduplicator, String _baseDir, int _maxGenerations)

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

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

Modifier and Type	Method	Description
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)