/*
* Java Genetic Algorithm Library (@__identifier__@).
* Copyright (c) @__year__@ Franz Wilhelmstötter
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* Author:
* Franz Wilhelmstötter (franz.wilhelmstoetter@gmx.at)
*/
package org.jenetics;
import static org.jenetics.TestUtils.newDoubleGenePopulation;
import org.testng.Assert;
import org.testng.annotations.DataProvider;
import org.testng.annotations.Test;
/**
* @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a>
*/
public class SwapMutatorTest extends MutatorTester {
@Override
public Alterer<DoubleGene, Double> newAlterer(double p) {
return new SwapMutator<>(p);
}
@Override
@Test(dataProvider = "alterCountParameters")
public void alterCount(
final Integer ngenes,
final Integer nchromosomes,
final Integer npopulation
) {
final Population<DoubleGene, Double> p1 =
newDoubleGenePopulation(ngenes, nchromosomes, npopulation);
final Population<DoubleGene, Double> p2 = p1.copy();
Assert.assertEquals(p2, p1);
final Alterer<DoubleGene, Double> mutator = newAlterer(0.01);
final int alterations = mutator.alter(p1, 1);
//final int diff = diff(p1, p2);
if (ngenes == 1) {
Assert.assertEquals(alterations, 0);
} else {
//Assert.assertTrue(alterations >= diff/2, String.format("%d >= %d", alterations, diff/2));
//Assert.assertTrue(alterations <= 2*diff, String.format("%d < %d", alterations, 2*diff));
}
}
@Override
@Test(dataProvider = "alterProbabilityParameters", groups = {"statistics"})
public void alterProbability(
final Integer ngenes,
final Integer nchromosomes,
final Integer npopulation,
final Double p
) {
super.alterProbability(ngenes, nchromosomes, npopulation, p);
}
@Override
@DataProvider(name = "alterProbabilityParameters")
public Object[][] alterProbabilityParameters() {
return new Object[][] {
// ngenes, nchromosomes npopulation
{180, 1, 150, 0.15},
{180, 2, 150, 0.15},
{180, 15, 150, 0.15},
{180, 1, 150, 0.5},
{180, 2, 150, 0.5},
{180, 15, 150, 0.5},
{180, 1, 150, 0.85},
{180, 2, 150, 0.85},
{180, 15, 150, 0.85}
};
}
}