/*
* This file is part of JGAP.
*
* JGAP offers a dual license model containing the LGPL as well as the MPL.
*
* For licensing 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 examples.chromInit;
import org.jgap.*;
import org.jgap.impl.*;
/**
* Fitness function for our example. See evolve() method for details.
*
* @author Neil Rotstan
* @author Klaus Meffert
* @since 2.4
*/
public class MaxFunction
extends FitnessFunction {
/** String containing the CVS revision. Read out via reflection!*/
private final static String CVS_REVISION = "$Revision: 1.4 $";
/**
* See examples.simpleBoolean.MaxFunction for description.
* Please notice that in this example here, we have chromosomes with one and
* Chromosomes with two Genes, so that the description from the original
* MaxFunction does not apply directly here.
* @param a_subject the Chromosome to be evaluated
* @return defect rate of our problem
*
* @author Klaus Meffert
* @since 2.4
*/
public double evaluate(IChromosome a_subject) {
int total = 0;
for (int i = 0; i < a_subject.size(); i++) {
BooleanGene value = (BooleanGene) a_subject.getGene(a_subject.size() -
(i + 1));
if (value.booleanValue()) {
total += Math.pow(2.0, (double) i);
}
}
return total;
}
}