org.jaga.masterAlgorithm
Class ElitistGA

java.lang.Object
  org.jaga.masterAlgorithm.SimpleGA
      org.jaga.masterAlgorithm.ReusableSimpleGA
          org.jaga.masterAlgorithm.ElitistGA

All Implemented Interfaces:

GeneticAlgorithm

Direct Known Subclasses:

InitialPopulationGA

public class ElitistGA

extends ReusableSimpleGA

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 double	badProportion
private double	eliteProportion

Constructor Summary

ElitistGA()

ElitistGA(double eliteProportion)

ElitistGA(double eliteProportion, double badProportion)

ElitistGA(GAParameterSet parameters, double eliteProportion)

ElitistGA(GAParameterSet parameters, double eliteProportion, double badProportion)

Method Summary

protected Population	generateNextPopulation(Population oldPop, int age, GAResult result, GAParameterSet params)
double	getBadProportion()
double	getEliteProportion()
void	setBadProportion(double badProportion)
void	setEliteProportion(double eliteProportion)

Methods inherited from class org.jaga.masterAlgorithm.ReusableSimpleGA

exec

Methods inherited from class org.jaga.masterAlgorithm.SimpleGA

addHook, checkForBetterResult, createEmptyPopulation, createInitialPopulation, createResult, exec, haveSex, notifyFoundNewResult, notifyGenerationChanged, notifyInitialisationDone, notifyReproduced, notifySelectedForReproduction, notifyTerminationConditionApplies, removeHook, selectForReproduction, terminationConditionApplies, updateFitnessCalculated, updateIndividualFitness

Methods inherited from class java.lang.Object

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

Field Detail

eliteProportion

private double eliteProportion

badProportion

private double badProportion

Constructor Detail

ElitistGA

public ElitistGA()

ElitistGA

public ElitistGA(double eliteProportion)

ElitistGA

public ElitistGA(double eliteProportion,
                 double badProportion)

ElitistGA

public ElitistGA(GAParameterSet parameters,
                 double eliteProportion)

ElitistGA

public ElitistGA(GAParameterSet parameters,
                 double eliteProportion,
                 double badProportion)

Method Detail

getEliteProportion

public double getEliteProportion()

setEliteProportion

public void setEliteProportion(double eliteProportion)

getBadProportion

public double getBadProportion()

setBadProportion

public void setBadProportion(double badProportion)

generateNextPopulation

protected Population generateNextPopulation(Population oldPop,
                                            int age,
                                            GAResult result,
                                            GAParameterSet params)

Overrides:

generateNextPopulation in class SimpleGA