Package gov.sandia.cognition.learning.algorithm.genetic.reproducer

Provides reproduction functions for use with a Genetic Algorithm.

See: Description

Interface Summary

Interface	Description
CrossoverFunction<GenomeType>	The CrossoverFunction interface implements standard functionality for implementing crossover for genetic algorithms.
Reproducer<GenomeType>	The Reproducer interface defines the functionality of a reproduction algorithm in a genetic algorithm.

Class Summary

Class	Description
CrossoverReproducer<GenomeType>	The CrossoverReproducer takes a population of genomes, and applies the supplied CrossoverFunction to produce a new population.
MultiReproducer<GenomeType>	The MultiReproducer class implements a Reproducer that takes multiple Reproducers and applies them to a population.
MutationReproducer<GenomeType>	The MutationReproducer class implements a Reproducer that applies a Perturber to the supplied population to produce a new population.
VectorizableCrossoverFunction	The VectorizableCrossoverFunction class is a CrossoverFunction that takes two Vectorizable.

Package gov.sandia.cognition.learning.algorithm.genetic.reproducer Description

Provides reproduction functions for use with a Genetic Algorithm. Reproduction functions are used to create a new population from the old one. Common general reproduction strategies are crossover and mutation.

Since:

2.0

Author:

Justin Basilico