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source: stable/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/OrderCrossover2Test.cs @ 12614

Last change on this file since 12614 was 12009, checked in by ascheibe, 10 years ago

#2212 updated copyright year

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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.Tests;
24using Microsoft.VisualStudio.TestTools.UnitTesting;
25
26namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
27  /// <summary>
28  ///This is a test class for OrderCrossover2Test and is intended
29  ///to contain all OrderCrossover2Test Unit Tests
30  ///</summary>
31  [TestClass()]
32  public class OrderCrossover2Test {
33    /// <summary>
34    ///A test for Cross
35    ///</summary>
36    [TestMethod]
37    [TestCategory("Encodings.Permutation")]
38    [TestProperty("Time", "short")]
39    public void OrderCrossover2CrossTest() {
40      TestRandom random = new TestRandom();
41      OrderCrossover2_Accessor target = new OrderCrossover2_Accessor(new PrivateObject(typeof(OrderCrossover2)));
42      random.Reset();
43      bool exceptionFired = false;
44      try {
45        target.Cross(random, new ItemArray<Permutation>(new Permutation[] {
46          new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));
47      } catch (System.InvalidOperationException) {
48        exceptionFired = true;
49      }
50      Assert.IsTrue(exceptionFired);
51    }
52
53    /// <summary>
54    ///A test for Apply
55    ///</summary>
56    [TestMethod]
57    [TestCategory("Encodings.Permutation")]
58    [TestProperty("Time", "short")]
59    public void OrderCrossover2ApplyTest() {
60      TestRandom random = new TestRandom();
61      Permutation parent1, parent2, expected, actual;
62      // 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. p. 135.
63      random.Reset();
64      random.IntNumbers = new int[] { 5, 7 };
65      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
66      Assert.IsTrue(parent1.Validate());
67      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 5, 6, 0, 9, 1, 3, 8, 4, 7 });
68      Assert.IsTrue(parent2.Validate());
69      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 0, 9, 1, 3, 5, 6, 7, 8, 4 });
70      Assert.IsTrue(expected.Validate());
71      actual = OrderCrossover2.Apply(random, parent1, parent2);
72      Assert.IsTrue(actual.Validate());
73      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
74
75      // perform a test when the two permutations are of unequal length
76      random.Reset();
77      bool exceptionFired = false;
78      try {
79        OrderCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
80      } catch (System.ArgumentException) {
81        exceptionFired = true;
82      }
83      Assert.IsTrue(exceptionFired);
84    }
85  }
86}
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