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source: stable/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/PartiallyMatchedCrossoverTest.cs @ 14048

Last change on this file since 14048 was 13246, checked in by ascheibe, 9 years ago

#2510 merged r13227, r13235, r13236 into stable

File size: 3.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Tests;
23using Microsoft.VisualStudio.TestTools.UnitTesting;
24
25namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
26  /// <summary>
27  ///This is a test class for PartiallyMatchedCrossover and is intended
28  ///to contain all PartiallyMatchedCrossover Unit Tests
29  ///</summary>
30  [TestClass()]
31  public class PartiallyMatchedCrossoverTest {
32    /// <summary>
33    ///A test for Apply
34    ///</summary>
35    [TestMethod]
36    [TestCategory("Encodings.Permutation")]
37    [TestProperty("Time", "short")]
38    public void PartiallyMatchedCrossoverApplyTest() {
39      TestRandom random = new TestRandom();
40      Permutation parent1, parent2, expected, actual;
41      // The following test is based on an example from Larranaga, 1999. Genetic Algorithms for the Traveling Salesman Problem.
42      random.Reset();
43      random.IntNumbers = new int[] { 3, 5 };
44      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
45      Assert.IsTrue(parent1.Validate());
46      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 6, 4, 0, 5, 7, 1, 3 });
47      Assert.IsTrue(parent2.Validate());
48      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 6, 7, 3, 4, 5, 1, 0 });
49      Assert.IsTrue(expected.Validate());
50      actual = PartiallyMatchedCrossover.Apply(random, parent1, parent2);
51      Assert.IsTrue(actual.Validate());
52      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
53      // The following test is based on an example from Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 134.
54      random.Reset();
55      random.IntNumbers = new int[] { 5, 7 };
56      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
57      Assert.IsTrue(parent1.Validate());
58      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 5, 6, 0, 9, 1, 3, 8, 4, 7 });
59      Assert.IsTrue(parent2.Validate());
60      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 3, 0, 9, 5, 6, 7, 4, 8 });
61      Assert.IsTrue(expected.Validate());
62      actual = PartiallyMatchedCrossover.Apply(random, parent1, parent2);
63      Assert.IsTrue(actual.Validate());
64      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
65
66      // perform a test when the two permutations are of unequal length
67      random.Reset();
68      bool exceptionFired = false;
69      try {
70        PartiallyMatchedCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
71      }
72      catch (System.ArgumentException) {
73        exceptionFired = true;
74      }
75      Assert.IsTrue(exceptionFired);
76    }
77  }
78}
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