Uses of Class
geneticAlgorithm.Population

Packages that use Population

Package	Description
geneticAlgorithm
geneticAlgorithm.evaluationFunctions
geneticAlgorithm.mutation
geneticAlgorithm.populationInitialisation
geneticAlgorithm.recombination
geneticAlgorithm.reinsertion
geneticAlgorithm.restrictions
geneticAlgorithm.selection
utils.akting

Uses of Population in geneticAlgorithm

Fields in geneticAlgorithm declared as Population

Modifier and Type	Field and Description
private Population	AbstractGeneticAlgorithm.population

Methods in geneticAlgorithm with parameters of type Population

Modifier and Type	Method and Description
private double[]	GeneticAlgorithmDcmaEs.myEvaluate(Population population)
protected void	AbstractGeneticAlgorithm.scaleIndividualRates(Population population) Deprecated.

Uses of Population in geneticAlgorithm.evaluationFunctions

Fields in geneticAlgorithm.evaluationFunctions declared as Population

Modifier and Type	Field and Description
private Population	AbstractPsdEvaluator.currentPopulation

Methods in geneticAlgorithm.evaluationFunctions that return Population

Modifier and Type	Method and Description
Population	AbstractPsdEvaluator.getCurrentPopulation()

Methods in geneticAlgorithm.evaluationFunctions with parameters of type Population

Modifier and Type	Method and Description
private void	MultithreadedPsdEvaluator.calculatePsdOfPopulation(Population p)
double[]	AbstractPsdEvaluator.evaluate(Population p)
double[]	AgHierarchyEvaluator.evaluate(Population p)
double[]	IEvaluation.evaluate(Population p)
double[]	MultithreadedPsdEvaluator.evaluate(Population p)
void	BasicEvaluator.evaluateAndOrder(Population p, AbstractPsdEvaluator functionWithSimulation, java.util.List<IEvaluation> functions) Evaluate all the elements of the population with the list of given evaluators after, it orders them from min to max error.
void	IEvaluator.evaluateAndOrder(Population p, AbstractPsdEvaluator functionWithSimulation, java.util.List<IEvaluation> functions) Evaluate all the elements of the population with the list of given evaluators.
void	AbstractPsdEvaluator.setCurrentPopulation(Population currentPopulation)
private void	MultithreadedPsdEvaluator.storeSimulationTimes(Population p)

Uses of Population in geneticAlgorithm.mutation

Methods in geneticAlgorithm.mutation with parameters of type Population

Modifier and Type	Method and Description
void	BgaBasedMutator.mutate(Population p, java.util.List nonFixedGenes)
void	CrossoverMutator.mutate(Population p, java.util.List nonFixedGenes)
void	IMutation.mutate(Population p, java.util.List nonFixedGenes)

Uses of Population in geneticAlgorithm.populationInitialisation

Methods in geneticAlgorithm.populationInitialisation that return Population

Modifier and Type	Method and Description
Population	AgInitialisator.createRandomPopulation(int populationSize) Robust initialisation methods, it uses a logarithmic distribution of process rates, more similar to what is expected from a real system.
Population	AgReduced6Initialisator.createRandomPopulation(int populationSize) Initialises all the rates between 1 and 1e12
Population	AgReducedInitialisator.createRandomPopulation(int populationSize) Initialises all the rates between 1 and 1e12
Population	BasicGrowthInitialisator.createRandomPopulation(int populationSize) Initialises all the rates between 1e-6 and 1e9.
Population	IInitialisator.createRandomPopulation(int populationSize)
Population	SiInitialisator.createRandomPopulation(int populationSize) Simplest way of initialisation, a pure random value.
Population	AbstractInitialisator.createRandomPopulation(int populationSize, int dimensions, double min, double max, boolean log) Initialises the population with random numbers, with linear or logarithmic distribution.
Population	IInitialisator.createRandomPopulation(int populationSize, int dimensions, double min, double max, boolean log)

Uses of Population in geneticAlgorithm.recombination

Methods in geneticAlgorithm.recombination that return Population

Modifier and Type	Method and Description
Population	DifferentialRecombination.recombinate(Population population, IndividualGroup[] groups) Creates a new offspring population.
Population	IRecombination.recombinate(Population population, IndividualGroup[] groups)
Population	RealRecombination.recombinate(Population population, IndividualGroup[] groups) Creates a new offspring population.

Methods in geneticAlgorithm.recombination with parameters of type Population

Modifier and Type	Method and Description
void	DifferentialRecombination.initialise(Population population) Initialises the first population and assigns values to sigma and xMean.
void	IRecombination.initialise(Population population)
void	RealRecombination.initialise(Population population) Does nothing
Population	DifferentialRecombination.recombinate(Population population, IndividualGroup[] groups) Creates a new offspring population.
Population	IRecombination.recombinate(Population population, IndividualGroup[] groups)
Population	RealRecombination.recombinate(Population population, IndividualGroup[] groups) Creates a new offspring population.

Uses of Population in geneticAlgorithm.reinsertion

Methods in geneticAlgorithm.reinsertion that return Population

Modifier and Type	Method and Description
Population	ElitistAllReinsertion.Reinsert(Population origin, Population offpring, int substitutions) The offspring individual is accepted if its error is lower than the corresponding original error
Population	ElitistReinsertion.Reinsert(Population origin, Population offpring, int substitutions)
Population	IReinsertion.Reinsert(Population origin, Population offpring, int substitutions)

Methods in geneticAlgorithm.reinsertion with parameters of type Population

Modifier and Type	Method and Description
Population	ElitistAllReinsertion.Reinsert(Population origin, Population offpring, int substitutions) The offspring individual is accepted if its error is lower than the corresponding original error
Population	ElitistReinsertion.Reinsert(Population origin, Population offpring, int substitutions)
Population	IReinsertion.Reinsert(Population origin, Population offpring, int substitutions)

Uses of Population in geneticAlgorithm.restrictions

Methods in geneticAlgorithm.restrictions with parameters of type Population

Modifier and Type	Method and Description
void	RestrictionOperator.apply(Population p)

Uses of Population in geneticAlgorithm.selection

Methods in geneticAlgorithm.selection with parameters of type Population

Modifier and Type	Method and Description
IndividualGroup[]	ISelection.Select(Population p, int groups)
IndividualGroup[]	RandomSelection.Select(Population p, int groupCount)
IndividualGroup[]	RankingSelection.Select(Population p, int groupCount)

Uses of Population in utils.akting

Methods in utils.akting that return Population

Modifier and Type	Method and Description
Population	RichMatrix.toPopulation(int errorsNumber)

Constructors in utils.akting with parameters of type Population

Constructor and Description
RichMatrix(Population population)