Free cookie consent management tool by TermsFeed Policy Generator

source: trunk/sources/HeuristicLab.Encodings.PermutationEncoding/3.3/Tests/OrderCrossoverTest.cs @ 5809

Last change on this file since 5809 was 5445, checked in by swagner, 14 years ago

Updated year of copyrights (#1406)

File size: 8.3 KB
RevLine 
[2854]1#region License Information
2/* HeuristicLab
[5445]3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[2854]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
[2906]22using HeuristicLab.Core;
[4068]23using HeuristicLab.Encodings.PermutationEncoding;
[2836]24using Microsoft.VisualStudio.TestTools.UnitTesting;
25
[3053]26namespace HeuristicLab.Encodings.PermutationEncoding_33.Tests {
[4068]27  /// <summary>
28  ///This is a test class for OrderCrossoverTest and is intended
29  ///to contain all OrderCrossoverTest Unit Tests
30  ///</summary>
[2836]31  [TestClass()]
32  public class OrderCrossoverTest {
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()]
[3063]85    [DeploymentItem("HeuristicLab.Encodings.PermutationEncoding-3.3.dll")]
[2836]86    public void OrderCrossoverCrossTest() {
87      TestRandom random = new TestRandom();
[4068]88      OrderCrossover_Accessor target =
[2854]89        new OrderCrossover_Accessor(new PrivateObject(typeof(OrderCrossover)));
[2840]90      // perform a test with more than two parents
91      random.Reset();
92      bool exceptionFired = false;
93      try {
[3053]94        target.Cross(random, new ItemArray<Permutation>(new Permutation[] {
[3231]95          new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));
[4068]96      }
97      catch (System.InvalidOperationException) {
[2840]98        exceptionFired = true;
99      }
100      Assert.IsTrue(exceptionFired);
[2836]101    }
102
103    /// <summary>
104    ///A test for Apply
105    ///</summary>
106    [TestMethod()]
107    public void OrderCrossoverApplyTest() {
108      TestRandom random = new TestRandom();
[3053]109      Permutation parent1, parent2, expected, actual;
[2836]110      // The following test is based on an example from Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg, pp. 55-56
111      random.Reset();
112      random.IntNumbers = new int[] { 3, 6 };
[3231]113      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 });
[2836]114      Assert.IsTrue(parent1.Validate());
[3231]115      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 8, 2, 6, 7, 1, 5, 4, 0, 3 });
[2836]116      Assert.IsTrue(parent2.Validate());
[3231]117      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 7, 1, 3, 4, 5, 6, 0, 8 });
[2836]118      Assert.IsTrue(expected.Validate());
119      actual = OrderCrossover.Apply(random, parent1, parent2);
120      Assert.IsTrue(actual.Validate());
121      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
122      // 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, pp. 129-170.
123      random.Reset();
124      random.IntNumbers = new int[] { 2, 4 };
[3231]125      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
[2836]126      Assert.IsTrue(parent1.Validate());
[3231]127      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 5, 7, 6, 4, 2, 0 });
[2836]128      Assert.IsTrue(parent2.Validate());
[3231]129      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 6, 2, 3, 4, 0, 1, 5 });
[2836]130      actual = OrderCrossover.Apply(random, parent1, parent2);
131      Assert.IsTrue(actual.Validate());
132      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
133      // The following test is based on an example from Talbi, E.G. 2009. Metaheuristics - From Design to Implementation. Wiley, p. 218.
134      random.Reset();
135      random.IntNumbers = new int[] { 2, 5 };
[3231]136      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 });
[2836]137      Assert.IsTrue(parent1.Validate());
[3231]138      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 3, 0, 4, 8, 2, 5, 1, 6 });
[2836]139      Assert.IsTrue(parent2.Validate());
[3231]140      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 8, 2, 3, 4, 5, 1, 6, 7 });
[2836]141      Assert.IsTrue(expected.Validate());
142      actual = OrderCrossover.Apply(random, parent1, parent2);
143      Assert.IsTrue(actual.Validate());
144      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
145      // The following test is not based on published examples
146      random.Reset();
147      random.IntNumbers = new int[] { 0, 5 };
[3231]148      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 });
[2836]149      Assert.IsTrue(parent1.Validate());
[3231]150      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 5, 3, 4, 0, 9, 8, 2, 7, 1, 6 });
[2836]151      Assert.IsTrue(parent2.Validate());
[3231]152      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 5, 0, 9 });
[2836]153      Assert.IsTrue(expected.Validate());
154      actual = OrderCrossover.Apply(random, parent1, parent2);
155      Assert.IsTrue(actual.Validate());
156      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
157      // based on the previous with changed breakpoints
158      random.Reset();
[2840]159      random.IntNumbers = new int[] { 6, 9 };
[3231]160      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 3, 4, 8, 2, 7, 1, 6, 0, 5, 9 });
[2836]161      Assert.IsTrue(expected.Validate());
162      actual = OrderCrossover.Apply(random, parent1, parent2);
163      Assert.IsTrue(actual.Validate());
164      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
165      // another one based on the previous with changed breakpoints
166      random.Reset();
[2840]167      random.IntNumbers = new int[] { 0, 9 };
[3231]168      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 });
[2836]169      Assert.IsTrue(expected.Validate());
170      actual = OrderCrossover.Apply(random, parent1, parent2);
171      Assert.IsTrue(actual.Validate());
172      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
[2867]173
[2840]174      // perform a test when the two permutations are of unequal length
175      random.Reset();
176      bool exceptionFired = false;
177      try {
[3231]178        OrderCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
[4068]179      }
180      catch (System.ArgumentException) {
[2840]181        exceptionFired = true;
182      }
183      Assert.IsTrue(exceptionFired);
[2836]184    }
185  }
186}
Note: See TracBrowser for help on using the repository browser.