Examples with Problem org.evosuite.ga.problems.Problem used on opensource projects

Example 1 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class FONIntTest method testFON.

/**
 * Testing NSGA-II with FON Problem
 *
 * @throws IOException
 * @throws NumberFormatException
 */
@Test
public void testFON() throws NumberFormatException, IOException {
    Properties.MUTATION_RATE = 1d / 3d;
    ChromosomeFactory<?> factory = new RandomFactory(false, 3, -4.0, 4.0);
    GeneticAlgorithm<?> ga = new NSGAII(factory);
    BinaryTournamentSelectionCrowdedComparison ts = new BinaryTournamentSelectionCrowdedComparison();
    ga.setSelectionFunction(ts);
    ga.setCrossOverFunction(new SBXCrossover());
    Problem p = new FON();
    final FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    final FitnessFunction f2 = (FitnessFunction) p.getFitnessFunctions().get(1);
    ga.addFitnessFunction(f1);
    ga.addFitnessFunction(f2);
    // execute
    ga.generateSolution();
    List<Chromosome> chromosomes = (List<Chromosome>) ga.getPopulation();
    Collections.sort(chromosomes, new Comparator<Chromosome>() {

        @Override
        public int compare(Chromosome arg0, Chromosome arg1) {
            return Double.compare(arg0.getFitness(f1), arg1.getFitness(f1));
        }
    });
    double[][] front = new double[Properties.POPULATION][2];
    int index = 0;
    for (Chromosome chromosome : chromosomes) {
        System.out.printf("%f,%f\n", chromosome.getFitness(f1), chromosome.getFitness(f2));
        front[index][0] = Double.valueOf(chromosome.getFitness(f1));
        front[index][1] = Double.valueOf(chromosome.getFitness(f2));
        index++;
    }
    // load True Pareto Front
    double[][] trueParetoFront = Metrics.readFront("Fonseca.pf");
    GenerationalDistance gd = new GenerationalDistance();
    double gdd = gd.evaluate(front, trueParetoFront);
    System.out.println("GenerationalDistance: " + gdd);
    Assert.assertEquals(gdd, 0.0006, 0.0001);
    Spacing sp = new Spacing();
    double spd = sp.evaluate(front);
    double spdt = sp.evaluate(trueParetoFront);
    System.out.println("SpacingFront (" + spd + ") - SpacingTrueFront (" + spdt + ") = " + Math.abs(spd - spdt));
    Assert.assertEquals(Math.abs(spd - spdt), 0.01, 0.01);
}

Example 2 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class FONIntTest method testFONFitnesses.

@Test
public void testFONFitnesses() {
    Problem p = new FON();
    FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    FitnessFunction f2 = (FitnessFunction) p.getFitnessFunctions().get(1);
    double[] values = { -2.0, 1.0, 3.0 };
    NSGAChromosome c = new NSGAChromosome(-4.0, 4.0, values);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(0)).getValue(), -2.0, 0.0);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(1)).getValue(), 1.0, 0.0);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(2)).getValue(), 3.0, 0.0);
    Assert.assertEquals(f1.getFitness(c), 0.9999969200553233, 0.0);
    Assert.assertEquals(f2.getFitness(c), 0.9999999696175615, 0.0);
}

Example 3 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class KURIntTest method testKUR.

/**
 * Testing NSGA-II with KUR Problem
 *
 * @throws IOException
 * @throws NumberFormatException
 */
@Test
public void testKUR() throws NumberFormatException, IOException {
    Properties.MUTATION_RATE = 1d / 3d;
    ChromosomeFactory<?> factory = new RandomFactory(false, 3, -5.0, 5.0);
    GeneticAlgorithm<?> ga = new NSGAII(factory);
    BinaryTournamentSelectionCrowdedComparison ts = new BinaryTournamentSelectionCrowdedComparison();
    ga.setSelectionFunction(ts);
    ga.setCrossOverFunction(new SBXCrossover());
    Problem p = new KUR();
    final FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    final FitnessFunction f2 = (FitnessFunction) p.getFitnessFunctions().get(1);
    ga.addFitnessFunction(f1);
    ga.addFitnessFunction(f2);
    // execute
    ga.generateSolution();
    List<Chromosome> chromosomes = (List<Chromosome>) ga.getPopulation();
    Collections.sort(chromosomes, new Comparator<Chromosome>() {

        @Override
        public int compare(Chromosome arg0, Chromosome arg1) {
            return Double.compare(arg0.getFitness(f1), arg1.getFitness(f1));
        }
    });
    double[][] front = new double[Properties.POPULATION][2];
    int index = 0;
    for (Chromosome chromosome : chromosomes) {
        System.out.printf("%f,%f\n", chromosome.getFitness(f1), chromosome.getFitness(f2));
        front[index][0] = Double.valueOf(chromosome.getFitness(f1));
        front[index][1] = Double.valueOf(chromosome.getFitness(f2));
        index++;
    }
    // load True Pareto Front
    double[][] trueParetoFront = Metrics.readFront("Kursawe.pf");
    GenerationalDistance gd = new GenerationalDistance();
    double gdd = gd.evaluate(front, trueParetoFront);
    System.out.println("GenerationalDistance: " + gdd);
    Assert.assertEquals(gdd, 0.0004, 0.0001);
    Spacing sp = new Spacing();
    double spd = sp.evaluate(front);
    double spdt = sp.evaluate(trueParetoFront);
    System.out.println("SpacingFront (" + spd + ") - SpacingTrueFront (" + spdt + ") = " + Math.abs(spd - spdt));
    Assert.assertEquals(Math.abs(spd - spdt), 0.30, 0.05);
}

Example 4 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class KURIntTest method testKURFitnesses.

@Test
public void testKURFitnesses() {
    Problem p = new KUR();
    FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    FitnessFunction f2 = (FitnessFunction) p.getFitnessFunctions().get(1);
    double[] values = { -2, 1, 3 };
    NSGAChromosome c = new NSGAChromosome(-5.0, 5.0, values);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(0)).getValue(), -2.0, 0.0);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(1)).getValue(), 1.0, 0.0);
    Assert.assertEquals(((DoubleVariable) c.getVariables().get(2)).getValue(), 3.0, 0.0);
    Assert.assertEquals(f1.getFitness(c), -11.706929282948648, 0.0);
    Assert.assertEquals(f2.getFitness(c), 9.191769144818029, 0.0);
}

Example 5 with Problem

use of org.evosuite.ga.problems.Problem in project evosuite by EvoSuite.

the class POLIntTest method testPOL.

/**
 * Testing NSGA-II with POL Problem
 *
 * @throws IOException
 * @throws NumberFormatException
 */
@Test
public void testPOL() throws NumberFormatException, IOException {
    Properties.MUTATION_RATE = 1d / 2d;
    ChromosomeFactory<?> factory = new RandomFactory(false, 2, -Math.PI, Math.PI);
    GeneticAlgorithm<?> ga = new NSGAII(factory);
    BinaryTournamentSelectionCrowdedComparison ts = new BinaryTournamentSelectionCrowdedComparison();
    ga.setSelectionFunction(ts);
    ga.setCrossOverFunction(new SBXCrossover());
    Problem p = new POL();
    final FitnessFunction f1 = (FitnessFunction) p.getFitnessFunctions().get(0);
    final FitnessFunction f2 = (FitnessFunction) p.getFitnessFunctions().get(1);
    ga.addFitnessFunction(f1);
    ga.addFitnessFunction(f2);
    // execute
    ga.generateSolution();
    List<Chromosome> chromosomes = (List<Chromosome>) ga.getPopulation();
    Collections.sort(chromosomes, new Comparator<Chromosome>() {

        @Override
        public int compare(Chromosome arg0, Chromosome arg1) {
            return Double.compare(arg0.getFitness(f1), arg1.getFitness(f1));
        }
    });
    double[][] front = new double[Properties.POPULATION][2];
    int index = 0;
    for (Chromosome chromosome : chromosomes) {
        System.out.printf("%f,%f\n", chromosome.getFitness(f1), chromosome.getFitness(f2));
        front[index][0] = Double.valueOf(chromosome.getFitness(f1));
        front[index][1] = Double.valueOf(chromosome.getFitness(f2));
        index++;
    }
    // load True Pareto Front
    double[][] trueParetoFront = Metrics.readFront("Poloni.pf");
    GenerationalDistance gd = new GenerationalDistance();
    double gdd = gd.evaluate(front, trueParetoFront);
    System.out.println("GenerationalDistance: " + gdd);
    Assert.assertEquals(gdd, 0.0005, 0.0001);
    Spacing sp = new Spacing();
    double spd = sp.evaluate(front);
    double spdt = sp.evaluate(trueParetoFront);
    System.out.println("SpacingFront (" + spd + ") - SpacingTrueFront (" + spdt + ") = " + Math.abs(spd - spdt));
    Assert.assertEquals(Math.abs(spd - spdt), 0.10, 0.05);
}