/**
* Copyright (C) 2010-2017 Gordon Fraser, Andrea Arcuri and EvoSuite
* contributors
*
* This file is part of EvoSuite.
*
* EvoSuite is free software: you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published
* by the Free Software Foundation, either version 3.0 of the License, or
* (at your option) any later version.
*
* EvoSuite is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with EvoSuite. If not, see <http://www.gnu.org/licenses/>.
*/
package org.evosuite.ga.problems.multiobjective;
import java.util.ArrayList;
import java.util.List;
import org.evosuite.ga.Chromosome;
import org.evosuite.ga.FitnessFunction;
import org.evosuite.ga.NSGAChromosome;
import org.evosuite.ga.problems.Problem;
import org.evosuite.ga.variables.DoubleVariable;
/**
* POL Problem
*
* @author José Campos
*/
@SuppressWarnings({ "rawtypes", "unchecked", "serial" })
public class POL<T extends NSGAChromosome> implements Problem
{
private List<FitnessFunction<T>> fitnessFunctions = new ArrayList<FitnessFunction<T>>();
public POL() {
super();
/**
* First fitness function
*/
class f1FitnessFunction extends FitnessFunction {
@Override
public double getFitness(Chromosome c) {
NSGAChromosome individual = (NSGAChromosome)c;
double x1 = ((DoubleVariable)individual.getVariable(0)).getValue();
double x2 = ((DoubleVariable)individual.getVariable(1)).getValue();
double A1 = 0.5 * Math.sin(1.0) - 2.0 * Math.cos(1.0) + Math.sin(2.0) - 1.5 * Math.cos(2.0);
double A2 = 1.5 * Math.sin(1.0) - Math.cos(1.0) + 2.0 * Math.sin(2.0) - 0.5 * Math.cos(2.0);
double B1 = 0.5 * Math.sin(x1) - 2.0 * Math.cos(x1) + Math.sin(x2) - 1.5 * Math.cos(x2);
double B2 = 1.5 * Math.sin(x1) - Math.cos(x1) + 2.0 * Math.sin(x2) - 0.5 * Math.cos(x2);
double fitness = 1.0 + Math.pow(A1 - B1, 2.0) + Math.pow(A2 - B2, 2.0);
updateIndividual(this, individual, fitness);
return fitness;
}
@Override
public boolean isMaximizationFunction() {
return false;
}
}
/**
* Second fitness function
*/
class f2FitnessFunction extends FitnessFunction {
@Override
public double getFitness(Chromosome c) {
NSGAChromosome individual = (NSGAChromosome)c;
double x1 = ((DoubleVariable)individual.getVariable(0)).getValue();
double x2 = ((DoubleVariable)individual.getVariable(1)).getValue();
double fitness = Math.pow(x1 + 3.0, 2.0) + Math.pow(x2 + 1.0, 2.0);
updateIndividual(this, individual, fitness);
return fitness;
}
@Override
public boolean isMaximizationFunction() {
return false;
}
}
this.fitnessFunctions.add(new f1FitnessFunction());
this.fitnessFunctions.add(new f2FitnessFunction());
}
@Override
public List<FitnessFunction<T>> getFitnessFunctions() {
return this.fitnessFunctions;
}
}