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

Interface Reproducer<GenomeType>

Type Parameters:

GenomeType - Type of genome used to represent a single element in the genetic population, such as a Vector, for example

All Superinterfaces:

java.io.Serializable

All Known Subinterfaces:

Selector<GenomeType>

All Known Implementing Classes:

AbstractSelector, CrossoverReproducer, MultiReproducer, MutationReproducer, TournamentSelector

@CodeReview(reviewer="Kevin R. Dixon",date="2008-07-23",changesNeeded=false,comments={"Moved previous code review to CodeReview annotation.","Otherwise, looks fine."}) @CodeReview(reviewer="Justin Basilico",date="2006-10-04",changesNeeded=false,comments="Interface looks fine.")
public interface Reproducer<GenomeType>
extends java.io.Serializable

The Reproducer interface defines the functionality of a reproduction algorithm in a genetic algorithm. Such an algorithm takes a collection of genomes and their associated costs and then returns the new generation of genomes based on that.

Since:

1.0

Author:

Justin Basilico, Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
java.util.Collection<GenomeType>	reproduce(java.util.Collection<EvaluatedGenome<GenomeType>> genomes) Applies a reproduction algorithm to the given collection of genomes and their associated score from the cost function.

Method Detail

reproduce

java.util.Collection<GenomeType> reproduce(java.util.Collection<EvaluatedGenome<GenomeType>> genomes)

Applies a reproduction algorithm to the given collection of genomes and their associated score from the cost function. It returns a new population of genomes.

Parameters:

genomes - The current population of genomes along with their associated costs.

Returns:

A new population of genomes.