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## Package org.apache.commons.math.genetics

This package provides Genetic Algorithms components and implementations.

See:
Description

Interface Summary
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
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 `BinaryChromosome`s.
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 `RandomKey`s.
TournamentSelection | Tournament selection scheme.

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

## Package org.apache.commons.math.genetics Description

This package provides Genetic Algorithms components and implementations.

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Copyright (c) 2003-2011 Apache Software Foundation