Uses of Interface
org.jppf.ga.Chromosome

Packages that use Chromosome

Package	Description
org.jppf.ga	Support for transport-agnostic communication with remote services and disk overflow.

Uses of Chromosome in org.jppf.ga

Classes in org.jppf.ga that implement Chromosome

Modifier and Type	Class	Description
class	AbstractChromosome	Common abstract super class for chromosme implementations.

Fields in org.jppf.ga declared as Chromosome

Modifier and Type	Field	Description
protected Chromosome[]	GeneticAlgorithm.population	The genetic algorithm's population.

Methods in org.jppf.ga that return Chromosome

Modifier and Type	Method	Description
Chromosome[]	GeneticAlgorithm.addToPoulation(Chromosome[] toAdd)	Add new chromosomes to the population.
Chromosome	Chromosome.crossover(Chromosome mate, int position)	Perform the crossover of this chromosome with one of its mates.
Chromosome	Chromosome.mutate()	Perform the mutation of this chromosome.
Chromosome[]	GeneticAlgorithm.performCrossover(Chromosome[] pop)	Perform the crossover operation for the specified population.
Chromosome[]	GeneticAlgorithm.performMutation(Chromosome[] pop, int nbSelect)	Mutate the specified population.
Chromosome	GeneticAlgorithm.run(int maxGenerations)
Chromosome[]	Selector.select(Chromosome[] population, int nbSelect)	Select the specified number of chromosomes among the specified population.
Chromosome[]	TournamentSelector.select(Chromosome[] population, int nbSelect)

Methods in org.jppf.ga with parameters of type Chromosome

Modifier and Type	Method	Description
Chromosome[]	GeneticAlgorithm.addToPoulation(Chromosome[] toAdd)	Add new chromosomes to the population.
int	AbstractChromosome.compareTo(Chromosome other)
protected void	GeneticAlgorithm.computeFitness(Chromosome[] pop)	Compute the fitness scores for the specified population.
Chromosome	Chromosome.crossover(Chromosome mate, int position)	Perform the crossover of this chromosome with one of its mates.
void	GeneticAlgorithm.displayStats(int gen, Chromosome[] pop, long elapsed)	Displays some statistics on the current state of the algorithm.
Chromosome[]	GeneticAlgorithm.performCrossover(Chromosome[] pop)	Perform the crossover operation for the specified population.
Chromosome[]	GeneticAlgorithm.performMutation(Chromosome[] pop, int nbSelect)	Mutate the specified population.
protected void	GeneticAlgorithm.postEpoch(Chromosome best)	Callback invoked at the end of each epoch.
Chromosome[]	Selector.select(Chromosome[] population, int nbSelect)	Select the specified number of chromosomes among the specified population.
Chromosome[]	TournamentSelector.select(Chromosome[] population, int nbSelect)
protected boolean	GeneticAlgorithm.shouldStop(Chromosome best)

Constructors in org.jppf.ga with parameters of type Chromosome

Modifier	Constructor	Description
	CrossoverTask(Chromosome c1, Chromosome c2, int index, int pos)
	FitnessTask(Chromosome c)
	GeneticAlgorithm(Chromosome[] population, int nbToKeep, int nbSelect, int tournamentSize, double crossoverProbability)