Examples with Booths org.evosuite.ga.problems.singleobjective.Booths used on opensource projects

Example 1 with Booths

use of org.evosuite.ga.problems.singleobjective.Booths in project evosuite by EvoSuite.

the class NSGAIISystemTest method testFastNonDominatedSort.

@Test
public void testFastNonDominatedSort() {
    NSGAII<NSGAChromosome> ga = new NSGAII<NSGAChromosome>(null);
    Problem p = new Booths<NSGAChromosome>();
    List<FitnessFunction<NSGAChromosome>> fitnessFunctions = p.getFitnessFunctions();
    ga.addFitnessFunctions(fitnessFunctions);
    NSGAChromosome c1 = new NSGAChromosome();
    NSGAChromosome c2 = new NSGAChromosome();
    NSGAChromosome c3 = new NSGAChromosome();
    NSGAChromosome c4 = new NSGAChromosome();
    NSGAChromosome c5 = new NSGAChromosome();
    NSGAChromosome c6 = new NSGAChromosome();
    NSGAChromosome c7 = new NSGAChromosome();
    NSGAChromosome c8 = new NSGAChromosome();
    NSGAChromosome c9 = new NSGAChromosome();
    NSGAChromosome c10 = new NSGAChromosome();
    // Set Fitness
    c1.setFitness(fitnessFunctions.get(0), 0.6);
    c2.setFitness(fitnessFunctions.get(0), 0.2);
    c3.setFitness(fitnessFunctions.get(0), 0.4);
    c4.setFitness(fitnessFunctions.get(0), 0.0);
    c5.setFitness(fitnessFunctions.get(0), 0.8);
    c6.setFitness(fitnessFunctions.get(0), 0.8);
    c7.setFitness(fitnessFunctions.get(0), 0.2);
    c8.setFitness(fitnessFunctions.get(0), 0.4);
    c9.setFitness(fitnessFunctions.get(0), 0.6);
    c10.setFitness(fitnessFunctions.get(0), 0.0);
    List<NSGAChromosome> population = new ArrayList<NSGAChromosome>();
    population.add(c1);
    population.add(c2);
    population.add(c3);
    population.add(c4);
    population.add(c5);
    population.add(c6);
    population.add(c7);
    population.add(c8);
    population.add(c9);
    population.add(c10);
    List<List<NSGAChromosome>> fronts = ga.fastNonDominatedSort(population);
    // Total number of Fronts
    Assert.assertEquals(fronts.size(), 5);
    // Front 0
    Assert.assertTrue(fronts.get(0).get(0).getFitness() == 0.0);
    Assert.assertTrue(fronts.get(0).get(1).getFitness() == 0.0);
    // Front 1
    Assert.assertTrue(fronts.get(1).get(0).getFitness() == 0.2);
    Assert.assertTrue(fronts.get(1).get(1).getFitness() == 0.2);
    // Front 2
    Assert.assertTrue(fronts.get(2).get(0).getFitness() == 0.4);
    Assert.assertTrue(fronts.get(2).get(1).getFitness() == 0.4);
    // Front 3
    Assert.assertTrue(fronts.get(3).get(0).getFitness() == 0.6);
    Assert.assertTrue(fronts.get(3).get(1).getFitness() == 0.6);
    // Front 4
    Assert.assertTrue(fronts.get(4).get(0).getFitness() == 0.8);
    Assert.assertTrue(fronts.get(4).get(1).getFitness() == 0.8);
}

Example 2 with Booths

use of org.evosuite.ga.problems.singleobjective.Booths in project evosuite by EvoSuite.

the class TestDominanceComparator method testDominanceComparatorOneFitness.

@Test
public void testDominanceComparatorOneFitness() {
    Problem p = new Booths<NSGAChromosome>();
    List<FitnessFunction<NSGAChromosome>> fitnessFunctions = p.getFitnessFunctions();
    FitnessFunction<NSGAChromosome> ff = fitnessFunctions.get(0);
    NSGAChromosome c1 = new NSGAChromosome();
    NSGAChromosome c2 = new NSGAChromosome();
    // Set Fitness
    c1.setFitness(ff, 0.7);
    c2.setFitness(ff, 0.3);
    List<NSGAChromosome> population = new ArrayList<NSGAChromosome>();
    population.add(c1);
    population.add(c2);
    DominanceComparator dc = new DominanceComparator();
    Collections.sort(population, dc);
    Assert.assertEquals(population.get(0).getFitness(ff), 0.3, 0.0);
    Assert.assertEquals(population.get(1).getFitness(ff), 0.7, 0.0);
}

Example 3 with Booths

use of org.evosuite.ga.problems.singleobjective.Booths in project evosuite by EvoSuite.

the class NSGAIISystemTest method testCrowingDistanceAssignment_OneVariable.

@Test
public void testCrowingDistanceAssignment_OneVariable() {
    NSGAII<NSGAChromosome> ga = new NSGAII<NSGAChromosome>(null);
    Problem p = new Booths();
    List<FitnessFunction<NSGAChromosome>> fitnessFunctions = p.getFitnessFunctions();
    ga.addFitnessFunctions(fitnessFunctions);
    NSGAChromosome c1 = new NSGAChromosome();
    NSGAChromosome c2 = new NSGAChromosome();
    NSGAChromosome c3 = new NSGAChromosome();
    NSGAChromosome c4 = new NSGAChromosome();
    NSGAChromosome c5 = new NSGAChromosome();
    NSGAChromosome c6 = new NSGAChromosome();
    NSGAChromosome c7 = new NSGAChromosome();
    NSGAChromosome c8 = new NSGAChromosome();
    NSGAChromosome c9 = new NSGAChromosome();
    NSGAChromosome c10 = new NSGAChromosome();
    // Set Fitness
    c1.setFitness(fitnessFunctions.get(0), 0.0);
    c2.setFitness(fitnessFunctions.get(0), 0.2);
    c3.setFitness(fitnessFunctions.get(0), 0.4);
    c4.setFitness(fitnessFunctions.get(0), 0.6);
    c5.setFitness(fitnessFunctions.get(0), 0.8);
    c6.setFitness(fitnessFunctions.get(0), 0.0);
    c7.setFitness(fitnessFunctions.get(0), 0.2);
    c8.setFitness(fitnessFunctions.get(0), 0.4);
    c9.setFitness(fitnessFunctions.get(0), 0.6);
    c10.setFitness(fitnessFunctions.get(0), 0.8);
    List<NSGAChromosome> population = new ArrayList<NSGAChromosome>();
    population.add(c1);
    population.add(c2);
    population.add(c3);
    population.add(c4);
    population.add(c5);
    population.add(c6);
    population.add(c7);
    population.add(c8);
    population.add(c9);
    population.add(c10);
    ga.crowingDistanceAssignment(population);
    Collections.sort(population, new CrowdingComparator(true));
    Assert.assertTrue(population.get(0).getDistance() == Double.POSITIVE_INFINITY);
    Assert.assertTrue(population.get(1).getDistance() == Double.POSITIVE_INFINITY);
    double epsilon = 1e-10;
    Assert.assertTrue(Math.abs(0.25 - population.get(2).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.25 - population.get(3).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.25 - population.get(4).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.25 - population.get(5).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.25 - population.get(6).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.25 - population.get(7).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.25 - population.get(8).getDistance()) < epsilon);
    Assert.assertTrue(Math.abs(0.25 - population.get(9).getDistance()) < epsilon);
}

Example 4 with Booths

use of org.evosuite.ga.problems.singleobjective.Booths in project evosuite by EvoSuite.

the class TestSortByFitness method testSortByFitnessC2win.

@Test
public void testSortByFitnessC2win() {
    Problem p = new Booths<NSGAChromosome>();
    List<FitnessFunction<NSGAChromosome>> fitnessFunctions = p.getFitnessFunctions();
    FitnessFunction<NSGAChromosome> ff = fitnessFunctions.get(0);
    NSGAChromosome c1 = new NSGAChromosome();
    NSGAChromosome c2 = new NSGAChromosome();
    // Set Fitness
    c1.setFitness(ff, 0.3);
    c2.setFitness(ff, 0.7);
    List<NSGAChromosome> population = new ArrayList<NSGAChromosome>();
    population.add(c1);
    population.add(c2);
    SortByFitness sf = new SortByFitness(ff, true);
    Collections.sort(population, sf);
    Assert.assertTrue(population.get(0) == c2);
    Assert.assertEquals(population.get(0).getFitness(ff), 0.7, 0.0);
    Assert.assertEquals(population.get(1).getFitness(ff), 0.3, 0.0);
    Assert.assertTrue(population.get(1) == c1);
}

Example 5 with Booths

use of org.evosuite.ga.problems.singleobjective.Booths in project evosuite by EvoSuite.

the class TestSortByFitness method testSortByFitnessEqual.

@Test
public void testSortByFitnessEqual() {
    Problem p = new Booths<NSGAChromosome>();
    List<FitnessFunction<NSGAChromosome>> fitnessFunctions = p.getFitnessFunctions();
    FitnessFunction<NSGAChromosome> ff = fitnessFunctions.get(0);
    NSGAChromosome c1 = new NSGAChromosome();
    NSGAChromosome c2 = new NSGAChromosome();
    // Set Fitness
    c1.setFitness(ff, 0.5);
    c2.setFitness(ff, 0.5);
    List<NSGAChromosome> population = new ArrayList<NSGAChromosome>();
    population.add(c1);
    population.add(c2);
    SortByFitness sf = new SortByFitness(ff, true);
    Collections.sort(population, sf);
    Assert.assertTrue(population.get(0) == c1);
    Assert.assertEquals(population.get(0).getFitness(ff), 0.5, 0.0);
    Assert.assertEquals(population.get(1).getFitness(ff), 0.5, 0.0);
    Assert.assertTrue(population.get(1) == c2);
}