Uses of Interface
org.apache.commons.math4.legacy.genetics.Population

Packages that use Population

Package	Description
org.apache.commons.math4.legacy.genetics	This package provides Genetic Algorithms components and implementations.

Uses of Population in org.apache.commons.math4.legacy.genetics

Classes in org.apache.commons.math4.legacy.genetics that implement Population

Modifier and Type	Class	Description
class	ElitisticListPopulation	Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
class	ListPopulation	Population of chromosomes represented by a List.

Methods in org.apache.commons.math4.legacy.genetics that return Population

Modifier and Type	Method	Description
Population	GeneticAlgorithm.evolve(Population initial, StoppingCondition condition)	Evolve the given population.
Population	ElitisticListPopulation.nextGeneration()	Start the population for the next generation.
Population	GeneticAlgorithm.nextGeneration(Population current)	Evolve the given population into the next generation.
Population	Population.nextGeneration()	Start the population for the next generation.

Methods in org.apache.commons.math4.legacy.genetics with parameters of type Population

Modifier and Type	Method	Description
Population	GeneticAlgorithm.evolve(Population initial, StoppingCondition condition)	Evolve the given population.
protected Chromosome	Chromosome.findSameChromosome(Population population)	Searches the population for another chromosome with the same representation.
boolean	FixedElapsedTime.isSatisfied(Population population)	Determine whether or not the maximum allowed time has passed.
boolean	FixedGenerationCount.isSatisfied(Population population)	Determine whether or not the given number of generations have passed.
boolean	StoppingCondition.isSatisfied(Population population)	Determine whether or not the given population satisfies the stopping condition.
Population	GeneticAlgorithm.nextGeneration(Population current)	Evolve the given population into the next generation.
void	Chromosome.searchForFitnessUpdate(Population population)	Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
ChromosomePair	SelectionPolicy.select(Population population)	Select two chromosomes from the population.
ChromosomePair	TournamentSelection.select(Population population)	Select two chromosomes from the population.