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source: branches/ParameterBinding/HeuristicLab.Encodings.PermutationEncoding/3.3/Tests/CyclicCrossover2Test.cs @ 11817

Last change on this file since 11817 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 4.8 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.Core;
23using HeuristicLab.Encodings.PermutationEncoding;
24using Microsoft.VisualStudio.TestTools.UnitTesting;
25
26namespace HeuristicLab.Encodings.PermutationEncoding_33.Tests {
27  /// <summary>
28  ///This is a test class for CyclicCrossover2Test and is intended
29  ///to contain all CyclicCrossover2Test Unit Tests
30  ///</summary>
31  [TestClass()]
32  public class CyclicCrossover2Test {
33
34
35    private TestContext testContextInstance;
36
37    /// <summary>
38    ///Gets or sets the test context which provides
39    ///information about and functionality for the current test run.
40    ///</summary>
41    public TestContext TestContext {
42      get {
43        return testContextInstance;
44      }
45      set {
46        testContextInstance = value;
47      }
48    }
49
50    #region Additional test attributes
51    //
52    //You can use the following additional attributes as you write your tests:
53    //
54    //Use ClassInitialize to run code before running the first test in the class
55    //[ClassInitialize()]
56    //public static void MyClassInitialize(TestContext testContext)
57    //{
58    //}
59    //
60    //Use ClassCleanup to run code after all tests in a class have run
61    //[ClassCleanup()]
62    //public static void MyClassCleanup()
63    //{
64    //}
65    //
66    //Use TestInitialize to run code before running each test
67    //[TestInitialize()]
68    //public void MyTestInitialize()
69    //{
70    //}
71    //
72    //Use TestCleanup to run code after each test has run
73    //[TestCleanup()]
74    //public void MyTestCleanup()
75    //{
76    //}
77    //
78    #endregion
79
80
81    /// <summary>
82    ///A test for Cross
83    ///</summary>
84    [TestMethod()]
85    [DeploymentItem("HeuristicLab.Encodings.PermutationEncoding-3.3.dll")]
86    public void CyclicCrossover2CrossTest() {
87      TestRandom random = new TestRandom();
88      CyclicCrossover2_Accessor target = new CyclicCrossover2_Accessor(new PrivateObject(typeof(CyclicCrossover2)));
89      // perform a test with more than two parents
90      random.Reset();
91      bool exceptionFired = false;
92      try {
93        target.Cross(random, new ItemArray<Permutation>(new Permutation[] {
94          new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));
95      }
96      catch (System.InvalidOperationException) {
97        exceptionFired = true;
98      }
99      Assert.IsTrue(exceptionFired);
100    }
101
102    /// <summary>
103    ///A test for Apply
104    ///</summary>
105    [TestMethod()]
106    public void CyclicCrossover2ApplyTest() {
107      TestRandom random = new TestRandom();
108      Permutation parent1, parent2, expected, actual;
109      // 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. pp. 134.
110      random.Reset();
111      random.IntNumbers = new int[] { 0 };
112      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
113      Assert.IsTrue(parent1.Validate());
114      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 5, 6, 0, 7, 1, 3, 8, 4, 9 });
115      Assert.IsTrue(parent2.Validate());
116      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 5, 2, 3, 7, 1, 6, 8, 4, 9 });
117      Assert.IsTrue(expected.Validate());
118      actual = CyclicCrossover2.Apply(random, parent1, parent2);
119      Assert.IsTrue(actual.Validate());
120      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
121
122      // perform a test when the two permutations are of unequal length
123      random.Reset();
124      bool exceptionFired = false;
125      try {
126        CyclicCrossover.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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