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The MOEA Framework Maven Distribution
/* Copyright 2009-2016 David Hadka
*
* This file is part of the MOEA Framework.
*
* The MOEA Framework 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 of the License, or (at your
* option) any later version.
*
* The MOEA Framework 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 General Public
* License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with the MOEA Framework. If not, see .
*/
package org.moeaframework.core.indicator;
import org.junit.Assert;
import org.junit.Test;
import org.moeaframework.TestUtils;
import org.moeaframework.core.NondominatedPopulation;
import org.moeaframework.core.PRNG;
import org.moeaframework.core.Problem;
import org.moeaframework.core.Settings;
import org.moeaframework.core.Solution;
import org.moeaframework.core.spi.ProblemFactory;
/**
* Tests the {@link Hypervolume} class against the JMetal implementation. Due
* to performance, these tests only go up to 4 dimensions.
*/
public class HypervolumeTest extends IndicatorTest {
/**
* Tests if an exception is thrown when using an empty reference set.
*/
@Test(expected = IllegalArgumentException.class)
public void testEmptyReferenceSet() {
Problem problem = ProblemFactory.getInstance().getProblem("DTLZ2_2");
NondominatedPopulation referenceSet = new NondominatedPopulation();
NondominatedPopulation approximationSet = ProblemFactory.getInstance()
.getReferenceSet("DTLZ2_2");
Hypervolume hypervolume = new Hypervolume(problem, referenceSet);
hypervolume.evaluate(approximationSet);
}
/**
* Tests if an empty approximation set returns a hypervolume of zero.
*/
@Test
public void testEmptyApproximationSet() {
Problem problem = ProblemFactory.getInstance().getProblem("DTLZ2_2");
NondominatedPopulation referenceSet = ProblemFactory.getInstance()
.getReferenceSet("DTLZ2_2");
NondominatedPopulation approximationSet = new NondominatedPopulation();
Hypervolume hypervolume = new Hypervolume(problem, referenceSet);
Assert.assertEquals(0.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
}
/**
* Tests if infeasible solutions are properly ignored.
*/
@Test
public void testInfeasibleApproximationSet() {
Problem problem = ProblemFactory.getInstance().getProblem("CF1");
NondominatedPopulation referenceSet = ProblemFactory.getInstance()
.getReferenceSet("CF1");
NondominatedPopulation approximationSet = new NondominatedPopulation();
Solution solution = problem.newSolution();
solution.setObjectives(new double[] { 0.5, 0.5 });
solution.setConstraints(new double[] { 10.0 });
approximationSet.add(solution);
Hypervolume hypervolume = new Hypervolume(problem, referenceSet);
Assert.assertEquals(0.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
}
public void test(Hypervolume hypervolume) {
NondominatedPopulation approximationSet = new NondominatedPopulation();
Assert.assertEquals(0.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.add(TestUtils.newSolution(0.5, 0.5));
Assert.assertEquals(0.25, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(0.0, 0.0));
Assert.assertEquals(1.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(1.0, 1.0));
Assert.assertEquals(0.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(2.0, 2.0));
Assert.assertEquals(0.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(-0.5, -0.5));
Assert.assertEquals(1.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(0.5, 0.0));
approximationSet.add(TestUtils.newSolution(0.0, 0.5));
Assert.assertEquals(0.75, hypervolume.evaluate(approximationSet),
Settings.EPS);
}
/**
* Runs through some simple cases to ensure the hypervolume is computed
* correctly.
*/
@Test
public void testSimple() {
Problem problem = ProblemFactory.getInstance().getProblem("DTLZ2_2");
NondominatedPopulation referenceSet = new NondominatedPopulation();
referenceSet.add(TestUtils.newSolution(0.0, 1.0));
referenceSet.add(TestUtils.newSolution(1.0, 0.0));
Hypervolume hypervolume = new Hypervolume(problem, referenceSet);
test(hypervolume);
}
@Test
public void testExplicitBounds() {
Problem problem = ProblemFactory.getInstance().getProblem("DTLZ2_2");
Hypervolume hypervolume = new Hypervolume(problem,
new double[] { 0.0, 0.0 },
new double[] { 1.0, 1.0 });
test(hypervolume);
}
public void test2(Hypervolume hypervolume) {
NondominatedPopulation approximationSet = new NondominatedPopulation();
Assert.assertEquals(0.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
// target value is 1.5^2 / 2^2
approximationSet.add(TestUtils.newSolution(0.5, 0.5));
Assert.assertEquals(0.5625, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(0.0, 0.0));
Assert.assertEquals(1.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(1.0, 1.0));
Assert.assertEquals(0.25, hypervolume.evaluate(approximationSet),
Settings.EPS);
approximationSet.clear();
approximationSet.add(TestUtils.newSolution(2.0, 2.0));
Assert.assertEquals(0.0, hypervolume.evaluate(approximationSet),
Settings.EPS);
}
@Test
public void testExplicitBounds2_RefOnly() {
Problem problem = ProblemFactory.getInstance().getProblem("DTLZ2_2");
NondominatedPopulation referenceSet = new NondominatedPopulation();
referenceSet.add(TestUtils.newSolution(0.0, 1.0));
referenceSet.add(TestUtils.newSolution(1.0, 0.0));
Hypervolume hypervolume = new Hypervolume(problem, referenceSet,
new double[] { 2.0, 2.0 });
test2(hypervolume);
}
@Test
public void testExplicitBounds2_Both() {
Problem problem = ProblemFactory.getInstance().getProblem("DTLZ2_2");
Hypervolume hypervolume = new Hypervolume(problem,
new double[] { 0.0, 0.0 },
new double[] { 2.0, 2.0 });
test2(hypervolume);
}
@Test
public void testExplicitBounds2_Properties() {
Settings.PROPERTIES.setDouble("org.moeaframework.core.indicator.hypervolume_idealpt.DTLZ2", 0.0);
Settings.PROPERTIES.setDouble("org.moeaframework.core.indicator.hypervolume_refpt.DTLZ2", 2.0);
Problem problem = ProblemFactory.getInstance().getProblem("DTLZ2_2");
Hypervolume hypervolume = new Hypervolume(problem, new NondominatedPopulation());
test2(hypervolume);
Settings.PROPERTIES.remove("org.moeaframework.core.indicator.hypervolume_idealpt.DTLZ2");
Settings.PROPERTIES.remove("org.moeaframework.core.indicator.hypervolume_refpt.DTLZ2");
}
/**
* Tests the hypervolume calculation on a 2D continuous Pareto front.
*/
@Test
public void testDTLZ2_2D() {
test("DTLZ2_2");
}
/**
* Tests the hypervolume calculation on a 4D continuous Pareto front.
*/
@Test
public void testDTLZ2_4D() {
test("DTLZ2_4");
}
/**
* Tests the hypervolume calculation on a 6D continuous Pareto front.
*/
@Test
public void testDTLZ2_6D() {
test("DTLZ2_6");
}
/**
* Tests the hypervolume calculation on a 8D continuous Pareto front.
*/
@Test
public void testDTLZ2_8D() {
test("DTLZ2_8");
}
/**
* Tests the hypervolume calculation on a 2D disconnected Pareto front.
*/
@Test
public void testDTLZ7_2D() {
test("DTLZ7_2");
}
/**
* Tests the hypervolume calculation on a 4D disconnected Pareto front.
*/
@Test
public void testDTLZ7_4D() {
test("DTLZ7_4");
}
/**
* Tests the hypervolume calculation on a 6D disconnected Pareto front.
*/
@Test
public void testDTLZ7_6D() {
test("DTLZ7_6");
}
/**
* Tests the hypervolume calculation on a 8D disconnected Pareto front.
*/
@Test
public void testDTLZ7_8D() {
test("DTLZ7_8");
}
/**
* Generates a subset of the reference set and tests if the hypervolume
* metric is computed correctly. Evaluating only the subset is necessary
* for performance at higher dimensions.
*
* @param problemName the problem being tested
* @throws IOException should not occur
*/
protected void test(String problemName) {
Problem problem = ProblemFactory.getInstance().getProblem(problemName);
NondominatedPopulation referenceSet = ProblemFactory.getInstance()
.getReferenceSet(problemName);
NondominatedPopulation approximationSet = new NondominatedPopulation();
for (int i = 0; i < 25; i++) {
approximationSet.add(referenceSet.get(PRNG.nextInt(referenceSet
.size())));
}
Hypervolume myHypervolume = new Hypervolume(problem, referenceSet);
jmetal.qualityIndicator.Hypervolume theirHypervolume =
new jmetal.qualityIndicator.Hypervolume();
double actual = myHypervolume.evaluate(approximationSet);
double expected = theirHypervolume.hypervolume(
toArray(approximationSet), toArray(referenceSet), problem
.getNumberOfObjectives());
Assert.assertEquals(expected, actual, 0.0001);
}
}