001 package org.jaga.reproduction;
002
003 import org.jaga.definitions.*;
004
005
006
007 /**
008 * TODO: Complete these comments.
009 *
010 * <p><u>Project:</u> JAGA - Java API for Genetic Algorithms.</p>
011 *
012 * <p><u>Company:</u> University College London and JAGA.Org
013 * (<a href="http://www.jaga.org" target="_blank">http://www.jaga.org</a>).
014 * </p>
015 *
016 * <p><u>Copyright:</u> (c) 2004 by G. Paperin.<br/>
017 * This program is free software; you can redistribute it and/or modify
018 * it under the terms of the GNU General Public License as published by
019 * the Free Software Foundation, ONLY if you include a note of the original
020 * author(s) in any redistributed/modified copy.<br/>
021 * This program is distributed in the hope that it will be useful,
022 * but WITHOUT ANY WARRANTY; without even the implied warranty of
023 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
024 * GNU General Public License for more details.<br/>
025 * You should have received a copy of the GNU General Public License
026 * along with this program; if not, write to the Free Software
027 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
028 * or see http://www.gnu.org/licenses/gpl.html</p>
029 *
030 * @author Greg Paperin (greg@jaga.org)
031 *
032 * @version JAGA public release 1.0 beta
033 */
034
035 abstract public class Mutation implements ReproductionAlgorithm {
036
037 private double mutationProbability = 0.05;
038
039 public Mutation() {}
040
041 public Mutation(double mutProb) {
042 setMutationProbability(mutProb);
043 }
044
045 public int getRequiredNumberOfParents() {
046 return -1;
047 }
048
049 public void setMutationProbability(double mutProb) {
050 if (mutProb < 0.0)
051 throw new IllegalArgumentException("MutationProbability may not be below 0 (is "
052 + mutProb + ")");
053 if (mutProb > 1.0)
054 throw new IllegalArgumentException("MutationProbability may not be above 1 (is "
055 + mutProb + ")");
056 this.mutationProbability = mutProb;
057 }
058
059 public double getMutationProbability() {
060 return this.mutationProbability;
061 }
062
063 abstract public Class getApplicableClass();
064
065 abstract public Individual[] reproduce(Individual[] parents, GAParameterSet params);
066
067 }