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source: trunk/sources/HeuristicLab.Encodings.PermutationEncoding/3.3/Tests/CosaCrossoverTest.cs @ 3384

Last change on this file since 3384 was 3376, checked in by swagner, 15 years ago

Moved interfaces and classes for deep cloning from HeuristicLab.Core to HeuristicLab.Common (#975).

File size: 6.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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.Common;
23using HeuristicLab.Core;
24using Microsoft.VisualStudio.TestTools.UnitTesting;
25using HeuristicLab.Encodings.PermutationEncoding;
26
27namespace HeuristicLab.Encodings.PermutationEncoding_33.Tests {
28    /// <summary>
29    ///This is a test class for CosaCrossoverTest and is intended
30    ///to contain all CosaCrossoverTest Unit Tests
31    ///</summary>
32  [TestClass()]
33  public class CosaCrossoverTest {
34
35
36    private TestContext testContextInstance;
37
38    /// <summary>
39    ///Gets or sets the test context which provides
40    ///information about and functionality for the current test run.
41    ///</summary>
42    public TestContext TestContext {
43      get {
44        return testContextInstance;
45      }
46      set {
47        testContextInstance = value;
48      }
49    }
50
51    #region Additional test attributes
52    //
53    //You can use the following additional attributes as you write your tests:
54    //
55    //Use ClassInitialize to run code before running the first test in the class
56    //[ClassInitialize()]
57    //public static void MyClassInitialize(TestContext testContext)
58    //{
59    //}
60    //
61    //Use ClassCleanup to run code after all tests in a class have run
62    //[ClassCleanup()]
63    //public static void MyClassCleanup()
64    //{
65    //}
66    //
67    //Use TestInitialize to run code before running each test
68    //[TestInitialize()]
69    //public void MyTestInitialize()
70    //{
71    //}
72    //
73    //Use TestCleanup to run code after each test has run
74    //[TestCleanup()]
75    //public void MyTestCleanup()
76    //{
77    //}
78    //
79    #endregion
80
81
82    /// <summary>
83    ///A test for Cross
84    ///</summary>
85    [TestMethod()]
86    [DeploymentItem("HeuristicLab.Encodings.PermutationEncoding-3.3.dll")]
87    public void CosaCrossoverCrossTest() {
88      TestRandom random = new TestRandom();
89      CosaCrossover_Accessor target =
90        new CosaCrossover_Accessor(new PrivateObject(typeof(CosaCrossover)));
91      // perform a test with more than two parents
92      random.Reset();
93      bool exceptionFired = false;
94      try {
95        target.Cross(random, new ItemArray<Permutation>(new Permutation[] {
96          new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));
97      } catch (System.InvalidOperationException) {
98        exceptionFired = true;
99      }
100      Assert.IsTrue(exceptionFired);
101    }
102
103    /// <summary>
104    ///A test for Apply
105    ///</summary>
106    [TestMethod()]
107    public void CosaCrossoverApplyTest() {
108      TestRandom random = new TestRandom();
109      Permutation parent1, parent2, expected, actual;
110      // The following test is based on an example from Wendt, O. 1994. COSA: COoperative Simulated Annealing - Integration von Genetischen Algorithmen und Simulated Annealing am Beispiel der Tourenplanung. Dissertation Thesis. IWI Frankfurt.
111      random.Reset();
112      random.IntNumbers = new int[] { 1 };
113      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 5, 2, 4, 3 });
114      Assert.IsTrue(parent1.Validate());
115      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 3, 0, 2, 1, 4, 5 });
116      Assert.IsTrue(parent2.Validate());
117      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 4, 2, 5, 3 });
118      Assert.IsTrue(expected.Validate());
119      actual = CosaCrossover.Apply(random, parent1, parent2);
120      Assert.IsTrue(actual.Validate());
121      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
122      // The following test is not based on published examples
123      random.Reset();
124      random.IntNumbers = new int[] { 4 };
125      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
126      Assert.IsTrue(parent1.Validate());
127      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 5, 7, 6, 4, 2, 0 });
128      Assert.IsTrue(parent2.Validate());
129      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 6, 5, 3, 4, 2, 1, 0 });
130      Assert.IsTrue(expected.Validate());
131      actual = CosaCrossover.Apply(random, parent1, parent2);
132      Assert.IsTrue(actual.Validate());
133      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
134      // The following test is not based on published examples
135      random.Reset();
136      random.IntNumbers = new int[] { 5 };
137      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
138      Assert.IsTrue(parent1.Validate());
139      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 4, 3, 5, 1, 0, 9, 7, 2, 8, 6 });
140      Assert.IsTrue(parent2.Validate());
141      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 6, 2, 3, 4, 5, 1, 0, 9, 8 });
142      Assert.IsTrue(expected.Validate());
143      actual = CosaCrossover.Apply(random, parent1, parent2);
144      Assert.IsTrue(actual.Validate());
145      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
146     
147      // perform a test when the two permutations are of unequal length
148      random.Reset();
149      bool exceptionFired = false;
150      try {
151        CosaCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
152      } catch (System.ArgumentException) {
153        exceptionFired = true;
154      }
155      Assert.IsTrue(exceptionFired);
156    }
157  }
158}
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