p_withoutsupergenechangefitnessfunction.java

用java语言写的遗传算法库

/*
 * This file is part of JGAP.
 *
 * JGAP offers a dual license model containing the LGPL as well as the MPL.
 *
 * For licencing information please see the file license.txt included with JGAP
 * or have a look at the top of class org.jgap.Chromosome which representatively
 * includes the JGAP license policy applicable for any file delivered with JGAP.
 */
package org.jgap.supergenes;

import org.jgap.*;
import org.jgap.impl.IntegerGene;


/** Fitness function for test implementations without using supergenes.
 * @author Neil Rotstan, Klaus Meffert
 * @author Audrius Meskauskas (subsequent adaptation)
 *  */

class p_withoutSupergeneChangeFitnessFunction
    extends p_SupergeneChangeFitnessFunction {

  /** String containing the CVS revision. Read out via reflection!*/
  private final static String CVS_REVISION = "$Revision: 1.2 $";

    public p_withoutSupergeneChangeFitnessFunction(int a_targetAmount) {
        super(a_targetAmount);
    }
    public Gene getResponsibleGene(Chromosome a_chromosome, int a_code) {
        return a_chromosome.getGene(a_code);
    }

    /** Additionall check that the number of nickels and pennies should
     * be both even or odd.
     */
    public double evaluate(Chromosome a_subject) {
        IntegerGene nickels =
         (IntegerGene) a_subject.getGene(p_SupergeneTest.NICKELS);
        IntegerGene pennies  =
         (IntegerGene) a_subject.getGene(p_SupergeneTest.PENNIES);

        boolean valid = nickels.intValue() % 2 == pennies.intValue() % 2;

        // valid = true; // uncomment for testing without the condition above

        double r;
        if (!valid) r = 0;
        else        r = super.evaluate(a_subject);
        return r;
    }


}