@Test
public void testBiDistribution() {
Algorithm algorithm = mock(Algorithm.class);
MOFitness fitness01 =
Fitnesses.create(new MinimisationFitness(3.0), new MinimisationFitness(0.0));
final Type type01 = mock(Type.class, "type2_01");
MOFitness fitness02 =
Fitnesses.create(new MinimisationFitness(2.0), new MinimisationFitness(1.0));
final Type type02 = mock(Type.class, "type2_02");
// Cloning returns the mocked objects themselves.
when(type01.getClone()).thenReturn(type01);
when(type02.getClone()).thenReturn(type02);
OptimisationSolution solution01 = new OptimisationSolution(type01, fitness01);
OptimisationSolution solution02 = new OptimisationSolution(type02, fitness02);
Archive archive = Archive.Provider.get();
archive.add(solution01);
archive.add(solution02);
Real distribution = new SolutionDistribution().getValue(algorithm);
Assert.assertEquals(0.0, distribution.doubleValue(), 0.0000000000001);
}
@Test
public void results() {
Algorithm algorithm = this.mockery.mock(Algorithm.class);
MOFitness fitness01 =
Fitnesses.create(new MinimisationFitness(0.0), new MinimisationFitness(1.0));
final Type type01 = this.mockery.mock(Type.class, "type_01");
MOFitness fitness02 =
Fitnesses.create(new MinimisationFitness(0.5), new MinimisationFitness(0.5));
final Type type02 = this.mockery.mock(Type.class, "type_02");
MOFitness fitness03 =
Fitnesses.create(new MinimisationFitness(1.0), new MinimisationFitness(0.0));
final Type type03 = this.mockery.mock(Type.class, "type_03");
// Cloning returns the mocked objects themselves.
this.mockery.checking(
new Expectations() {
{
oneOf(type01).getClone();
will(returnValue(type01));
oneOf(type02).getClone();
will(returnValue(type02));
oneOf(type03).getClone();
will(returnValue(type03));
}
});
OptimisationSolution solution01 = new OptimisationSolution(type01, fitness01);
OptimisationSolution solution02 = new OptimisationSolution(type02, fitness02);
OptimisationSolution solution03 = new OptimisationSolution(type03, fitness03);
Archive archive = Archive.Provider.get();
archive.add(solution01);
archive.add(solution02);
archive.add(solution03);
Real extent = new ParetoFrontExtent().getValue(algorithm);
Assert.assertEquals(Math.sqrt(2.0), extent.doubleValue(), 0.00001);
}
@Test
public void results() {
Algorithm algorithm = this.mockery.mock(Algorithm.class);
MOFitness fitness01 =
Fitnesses.create(new MinimisationFitness(0.0), new MinimisationFitness(1.0));
final Type type01 = this.mockery.mock(Type.class, "type_01");
MOFitness fitness02 =
Fitnesses.create(new MinimisationFitness(0.5), new MinimisationFitness(0.5));
final Type type02 = this.mockery.mock(Type.class, "type_02");
MOFitness fitness03 =
Fitnesses.create(new MinimisationFitness(1.0), new MinimisationFitness(0.0));
final Type type03 = this.mockery.mock(Type.class, "type_03");
// Cloning returns the mocked objects themselves.
this.mockery.checking(
new Expectations() {
{
oneOf(type01).getClone();
will(returnValue(type01));
oneOf(type02).getClone();
will(returnValue(type02));
oneOf(type03).getClone();
will(returnValue(type03));
}
});
OptimisationSolution solution01 = new OptimisationSolution(type01, fitness01);
OptimisationSolution solution02 = new OptimisationSolution(type02, fitness02);
OptimisationSolution solution03 = new OptimisationSolution(type03, fitness03);
Archive archive = Archive.Provider.get();
archive.add(solution01);
archive.add(solution02);
archive.add(solution03);
Int solutionCount = new NumberOfSolutions().getValue(algorithm);
assertThat(solutionCount.intValue(), is(equalTo(3)));
}