#region License Information
/* HeuristicLab
* Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using HeuristicLab.Core;
using HeuristicLab.Tests;
using Microsoft.VisualStudio.TestTools.UnitTesting;
namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
///
///This is a test class for CyclicCrossover and is intended
///to contain all CyclicCrossover Unit Tests
///
[TestClass()]
public class CyclicCrossoverTest {
///
///A test for Cross
///
[TestMethod]
[TestCategory("Encodings.Permutation")]
[TestProperty("Time", "short")]
public void CyclicCrossoverCrossTest() {
TestRandom random = new TestRandom();
CyclicCrossover_Accessor target =
new CyclicCrossover_Accessor(new PrivateObject(typeof(CyclicCrossover)));
// perform a test with more than two parents
random.Reset();
bool exceptionFired = false;
try {
target.Cross(random, new ItemArray(new Permutation[] {
new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));
} catch (System.InvalidOperationException) {
exceptionFired = true;
}
Assert.IsTrue(exceptionFired);
}
///
///A test for Apply
///
[TestMethod]
[TestCategory("Encodings.Permutation")]
[TestProperty("Time", "short")]
public void CyclicCrossoverApplyTest() {
TestRandom random = new TestRandom();
Permutation parent1, parent2, expected, actual;
// The following test is based on an example from Larranaga, P. et al. 1999. Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators. Artificial Intelligence Review, 13
random.Reset();
random.DoubleNumbers = new double[] { 0.9 };
parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
Assert.IsTrue(parent1.Validate());
parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 5, 7, 6, 4, 2, 0 });
Assert.IsTrue(parent2.Validate());
expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 5, 3, 6, 4, 2, 7 });
Assert.IsTrue(expected.Validate());
actual = CyclicCrossover.Apply(random, parent1, parent2);
Assert.IsTrue(actual.Validate());
Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
// perform a test when the two permutations are of unequal length
random.Reset();
bool exceptionFired = false;
try {
CyclicCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
} catch (System.ArgumentException) {
exceptionFired = true;
}
Assert.IsTrue(exceptionFired);
}
}
}