/*
* 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.equalDistribution;
import org.jgap.*;
import org.jgap.impl.*;
/**
* Fitness function for our example. See method evaluate(..).
*
* @author Klaus Meffert
* @since 3.2
*/
public class SampleFitnessFunction
extends FitnessFunction {
/** String containing the CVS revision. Read out via reflection!*/
private final static String CVS_REVISION = "$Revision: 1.2 $";
private Vent[] m_vents;
public SampleFitnessFunction(Vent[] a_vents) {
m_vents = a_vents;
}
/**
* Calculates the difference in weight between the 8 groups of vents. The
* lower the different the better the solution.
*
* @param a_subject the Chromosome to be evaluated
* @return fitness of our problem (smaller is better here)
*
* @author Klaus Meffert
* @since 3.2
*/
public double evaluate(IChromosome a_subject) {
double[] groupWeights = new double[8];
double squaredDiff = 0.0d;
for (int i = 0; i < 8; i++) {
double groupWeight = 0.0d;
for (int j = 0; j < 8; j++) {
IntegerGene ventIndex = (IntegerGene) a_subject.getGene( (i * 8 + j));
Vent vent = (Vent) m_vents[ventIndex.intValue()];
groupWeight += vent.getWeight();
}
if (i > 0) {
for (int k = 0; k < i; k++) {
double diff = Math.abs(groupWeight - groupWeights[k]);
squaredDiff += diff * diff;
}
}
groupWeights[i] = groupWeight;
}
return squaredDiff;
}
}