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source: branches/OaaS/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/OrderBasedCrossoverTest.cs @ 8250

Last change on this file since 8250 was 7259, checked in by swagner, 13 years ago

Updated year of copyrights to 2012 (#1716)

File size: 4.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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.Core;
23using HeuristicLab.Encodings.PermutationEncoding;
24using HeuristicLab.Tests;
25using Microsoft.VisualStudio.TestTools.UnitTesting;
26
27namespace HeuristicLab.Encodings.PermutationEncoding_33.Tests {
28  /// <summary>
29  ///This is a test class for OrderBasedCrossoverTest and is intended
30  ///to contain all OrderBasedCrossoverTest Unit Tests
31  ///</summary>
32  [TestClass()]
33  public class OrderBasedCrossoverTest {
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 OrderBasedCrossoverCrossTest() {
88      TestRandom random = new TestRandom();
89      OrderBasedCrossover_Accessor target =
90        new OrderBasedCrossover_Accessor(new PrivateObject(typeof(OrderBasedCrossover)));
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      }
98      catch (System.InvalidOperationException) {
99        exceptionFired = true;
100      }
101      Assert.IsTrue(exceptionFired);
102    }
103
104    /// <summary>
105    ///A test for Apply
106    ///</summary>
107    [TestMethod()]
108    public void OrderBasedCrossoverApplyTest() {
109      TestRandom random = new TestRandom();
110      Permutation parent1, parent2, expected, actual;
111      // 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
112      random.Reset();
113      random.IntNumbers = new int[] { 3, 5, 2, 1 };
114      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
115      Assert.IsTrue(parent1.Validate());
116      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 5, 7, 6, 4, 2, 0 });
117      Assert.IsTrue(parent2.Validate());
118      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 2, 7, 6, 4, 5, 0 });
119      actual = OrderBasedCrossover.Apply(random, parent1, parent2);
120      Assert.IsTrue(actual.Validate());
121      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
122      // perform a test when the two permutations are of unequal length
123      random.Reset();
124      bool exceptionFired = false;
125      try {
126        OrderBasedCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
127      }
128      catch (System.ArgumentException) {
129        exceptionFired = true;
130      }
131      Assert.IsTrue(exceptionFired);
132    }
133  }
134}
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