Free cookie consent management tool by TermsFeed Policy Generator

source: stable/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/CyclicCrossover2Test.cs @ 13398

Last change on this file since 13398 was 13246, checked in by ascheibe, 9 years ago

#2510 merged r13227, r13235, r13236 into stable

File size: 2.8 KB
RevLine 
[3742]1#region License Information
2/* HeuristicLab
[12009]3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3742]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
[6891]22using HeuristicLab.Tests;
[2871]23using Microsoft.VisualStudio.TestTools.UnitTesting;
24
[9885]25namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
[4068]26  /// <summary>
27  ///This is a test class for CyclicCrossover2Test and is intended
28  ///to contain all CyclicCrossover2Test Unit Tests
29  ///</summary>
[2871]30  [TestClass()]
31  public class CyclicCrossover2Test {
32    /// <summary>
33    ///A test for Apply
34    ///</summary>
[9885]35    [TestMethod]
36    [TestCategory("Encodings.Permutation")]
37    [TestProperty("Time", "short")]
[2871]38    public void CyclicCrossover2ApplyTest() {
39      TestRandom random = new TestRandom();
[3053]40      Permutation parent1, parent2, expected, actual;
[2871]41      // 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.
42      random.Reset();
43      random.IntNumbers = new int[] { 0 };
[3231]44      parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
[2871]45      Assert.IsTrue(parent1.Validate());
[3231]46      parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 5, 6, 0, 7, 1, 3, 8, 4, 9 });
[2871]47      Assert.IsTrue(parent2.Validate());
[3231]48      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 5, 2, 3, 7, 1, 6, 8, 4, 9 });
[2871]49      Assert.IsTrue(expected.Validate());
50      actual = CyclicCrossover2.Apply(random, parent1, parent2);
51      Assert.IsTrue(actual.Validate());
52      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
53
54      // perform a test when the two permutations are of unequal length
55      random.Reset();
56      bool exceptionFired = false;
57      try {
[3231]58        CyclicCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
[13246]59      }
60      catch (System.ArgumentException) {
[2871]61        exceptionFired = true;
62      }
63      Assert.IsTrue(exceptionFired);
64    }
65  }
66}
Note: See TracBrowser for help on using the repository browser.