Package org.apache.commons.math.genetics

This package provides Genetic Algorithms components and implementations.

Interface Summary

Interface	Description
CrossoverPolicy	Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
Fitness	Fitness of a chromosome.
MutationPolicy	Algorithm used to mutate a chrommosome.
PermutationChromosome<T>	Interface indicating that the chromosome represents a permutation of objects.
Population	A collection of chromosomes that facilitates generational evolution.
SelectionPolicy	Algorithm used to select a chromosome pair from a population.
StoppingCondition	Algorithm used to determine when to stop evolution.

Class Summary

Class	Description
AbstractListChromosome<T>	Chromosome represented by an immutable list of a fixed length.
BinaryChromosome	Chromosome represented by a vector of 0s and 1s.
BinaryMutation	Mutation for BinaryChromosomes.
Chromosome	Individual in a population.
ChromosomePair	A pair of Chromosome objects.
ElitisticListPopulation	Population of chromosomes which uses elitism (certain percentace of the best chromosomes is directly copied to the next generation).
FixedGenerationCount	Stops after a fixed number of generations.
GeneticAlgorithm	Implementation of a genetic algorithm.
ListPopulation	Population of chromosomes represented by a List.
OnePointCrossover<T>	One point crossover policy.
RandomKey<T>	Random Key chromosome is used for permutation representation.
RandomKeyMutation	Mutation operator for RandomKeys.
TournamentSelection	Tournament selection scheme.

Exception Summary

Exception	Description
InvalidRepresentationException	Exception indicating that the representation of a chromosome is not valid.