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