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source: branches/PersistenceSpeedUp/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Tests/UniformCrossoverTest.cs @ 6305

Last change on this file since 6305 was 5445, checked in by swagner, 14 years ago

Updated year of copyrights (#1406)

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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.BinaryVectorEncoding;
24using Microsoft.VisualStudio.TestTools.UnitTesting;
25
26namespace HeuristicLab.Encodings.BinaryVectorEncoding_33.Tests {
27
28
29  /// <summary>
30  ///This is a test class for SinglePointCrossoverTest and is intended
31  ///to contain all SinglePointCrossoverTest Unit Tests
32  ///</summary>
33  [TestClass()]
34  public class UniformCrossoverTest {
35
36
37    private TestContext testContextInstance;
38
39    /// <summary>
40    ///Gets or sets the test context which provides
41    ///information about and functionality for the current test run.
42    ///</summary>
43    public TestContext TestContext {
44      get {
45        return testContextInstance;
46      }
47      set {
48        testContextInstance = value;
49      }
50    }
51
52    #region Additional test attributes
53    //
54    //You can use the following additional attributes as you write your tests:
55    //
56    //Use ClassInitialize to run code before running the first test in the class
57    //[ClassInitialize()]
58    //public static void MyClassInitialize(TestContext testContext)
59    //{
60    //}
61    //
62    //Use ClassCleanup to run code after all tests in a class have run
63    //[ClassCleanup()]
64    //public static void MyClassCleanup()
65    //{
66    //}
67    //
68    //Use TestInitialize to run code before running each test
69    //[TestInitialize()]
70    //public void MyTestInitialize()
71    //{
72    //}
73    //
74    //Use TestCleanup to run code after each test has run
75    //[TestCleanup()]
76    //public void MyTestCleanup()
77    //{
78    //}
79    //
80    #endregion
81
82    /// <summary>
83    ///A test for Cross
84    ///</summary>
85    [TestMethod()]
86    [DeploymentItem("HeuristicLab.Encodings.BinaryVectorEncoding-3.3.dll")]
87    public void SinglePointCrossoverCrossTest() {
88      UniformCrossover_Accessor target = new UniformCrossover_Accessor(new PrivateObject(typeof(UniformCrossover)));
89      ItemArray<BinaryVector> parents;
90      TestRandom random = new TestRandom();
91      bool exceptionFired;
92      // The following test checks if there is an exception when there are more than 2 parents
93      random.Reset();
94      parents = new ItemArray<BinaryVector>(new BinaryVector[] { new BinaryVector(5), new BinaryVector(6), new BinaryVector(4) });
95      exceptionFired = false;
96      try {
97        BinaryVector actual;
98        actual = target.Cross(random, parents);
99      }
100      catch (System.ArgumentException) {
101        exceptionFired = true;
102      }
103      Assert.IsTrue(exceptionFired);
104      // The following test checks if there is an exception when there are less than 2 parents
105      random.Reset();
106      parents = new ItemArray<BinaryVector>(new BinaryVector[] { new BinaryVector(4) });
107      exceptionFired = false;
108      try {
109        BinaryVector actual;
110        actual = target.Cross(random, parents);
111      }
112      catch (System.ArgumentException) {
113        exceptionFired = true;
114      }
115      Assert.IsTrue(exceptionFired);
116    }
117
118    /// <summary>
119    ///A test for Apply
120    ///</summary>
121    [TestMethod()]
122    public void SinglePointCrossoverApplyTest() {
123      TestRandom random = new TestRandom();
124      BinaryVector parent1, parent2, expected, actual;
125      bool exceptionFired;
126      // The following test is based on Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg, p. 49
127      random.Reset();
128      random.DoubleNumbers = new double[] { 0.35, 0.62, 0.18, 0.42, 0.83, 0.76, 0.39, 0.51, 0.36 };
129      parent1 = new BinaryVector(new bool[] { false, false, false, false, true, false, false, false, false });
130      parent2 = new BinaryVector(new bool[] { true, true, false, true, false, false, false, false, true });
131      expected = new BinaryVector(new bool[] { false, true, false, false, false, false, false, false, false });
132      actual = UniformCrossover.Apply(random, parent1, parent2);
133      Assert.IsTrue(Auxiliary.BinaryVectorIsEqualByPosition(actual, expected));
134
135      // The following test is based on Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg, p. 49
136      random.Reset();
137      random.DoubleNumbers = new double[] { 0.35, 0.62, 0.18, 0.42, 0.83, 0.76, 0.39, 0.51, 0.36 };
138      parent2 = new BinaryVector(new bool[] { false, false, false, false, true, false, false, false, false });
139      parent1 = new BinaryVector(new bool[] { true, true, false, true, false, false, false, false, true });
140      expected = new BinaryVector(new bool[] { true, false, false, true, true, false, false, false, true });
141      actual = UniformCrossover.Apply(random, parent1, parent2);
142      Assert.IsTrue(Auxiliary.BinaryVectorIsEqualByPosition(actual, expected));
143
144      // The following test is not based on any published examples
145      random.Reset();
146      random.DoubleNumbers = new double[] { 0.35, 0.62, 0.18, 0.42, 0.83, 0.76, 0.39, 0.51, 0.36 };
147      parent1 = new BinaryVector(new bool[] { false, true, true, false, false }); // this parent is longer
148      parent2 = new BinaryVector(new bool[] { false, true, true, false });
149      exceptionFired = false;
150      try {
151        actual = UniformCrossover.Apply(random, parent1, parent2);
152      }
153      catch (System.ArgumentException) {
154        exceptionFired = true;
155      }
156      Assert.IsTrue(exceptionFired);
157    }
158
159    /// <summary>
160    ///A test for SinglePointCrossover Constructor
161    ///</summary>
162    [TestMethod()]
163    public void SinglePointCrossoverConstructorTest() {
164      NPointCrossover target = new NPointCrossover();
165    }
166  }
167}
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