org.jaga.reproduction
Class XOver

java.lang.Object
  org.jaga.reproduction.XOver

All Implemented Interfaces:

ReproductionAlgorithm

Direct Known Subclasses:

FunctionTreeXOver, PolypeptidePatternXOver, SimpleBinaryXOver

public abstract class XOver

extends java.lang.Object

implements ReproductionAlgorithm

TODO: Complete these comments.

Project: JAGA - Java API for Genetic Algorithms.

Company: University College London and JAGA.Org (http://www.jaga.org).

Copyright: (c) 2004 by G. Paperin.
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, ONLY if you include a note of the original author(s) in any redistributed/modified copy.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA or see http://www.gnu.org/licenses/gpl.html

Version:

JAGA public release 1.0 beta

Author:

Greg Paperin (greg@jaga.org)

Field Summary

private static int	requiredNumberOfParents
private double	xOverProbability

Constructor Summary

XOver()

XOver(double xOverProb)

Method Summary

abstract java.lang.Class	getApplicableClass() Returns the class of individuals handled by this reproduction algorithm.
int	getRequiredNumberOfParents() Returns, how many individuals are required to produce one new individual whwn using this reproduction algorithm.
double	getXOverProbability()
abstract Individual[]	reproduce(Individual[] parents, GAParameterSet params) Reproduces the specified individuals.
void	setXOverProbability(double xOverProb)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

requiredNumberOfParents

private static final int requiredNumberOfParents

See Also:

Constant Field Values

xOverProbability

private double xOverProbability

Constructor Detail

XOver

public XOver()

XOver

public XOver(double xOverProb)

Method Detail

setXOverProbability

public void setXOverProbability(double xOverProb)

getXOverProbability

public double getXOverProbability()

getRequiredNumberOfParents

public int getRequiredNumberOfParents()

Description copied from interface: ReproductionAlgorithm

Returns, how many individuals are required to produce one new individual whwn using this reproduction algorithm. If any number of parents is permitted (e.g. for most kinds of mutation), this method should return -1.

Specified by:

getRequiredNumberOfParents in interface ReproductionAlgorithm

Returns:

The required length of the array-parameter parents to the method reproduce or -1 if any length is parmitted.

getApplicableClass

public abstract java.lang.Class getApplicableClass()

Description copied from interface: ReproductionAlgorithm

Returns the class of individuals handled by this reproduction algorithm.

Specified by:

getApplicableClass in interface ReproductionAlgorithm

Returns:

The required type of the array-members in the parameter parents to the method ReproductionAlgorithm.reproduce.

reproduce

public abstract Individual[] reproduce(Individual[] parents,
                                       GAParameterSet params)

Description copied from interface: ReproductionAlgorithm

Reproduces the specified individuals.

Specified by:

reproduce in interface ReproductionAlgorithm

Parameters:

parents - The individuals to reproduce. The type of objects in this array must be the class returned by getApplicableClass. The number of objects in this array must be the same as returned by getRequiredNumberOfParents.

params - Experiment parameters.

Returns:

The children - i.e. the result of the reproduction of parents.