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source: branches/PersistentDataStructures/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/ScrambleManipulatorTest.cs @ 14927

Last change on this file since 14927 was 14186, checked in by swagner, 8 years ago

#2526: Updated year of copyrights in license headers

File size: 2.2 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Tests;
23using Microsoft.VisualStudio.TestTools.UnitTesting;
24
25namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
26  /// <summary>
27  ///This is a test class for ScrambleManipulator and is intended
28  ///to contain all ScrambleManipulator Unit Tests
29  ///</summary>
30  [TestClass()]
31  public class ScrambleManipulatorTest {
32    /// <summary>
33    ///A test for Apply
34    ///</summary>
35    [TestMethod]
36    [TestCategory("Encodings.Permutation")]
37    [TestProperty("Time", "short")]
38    public void ScrambleManipulatorApplyTest() {
39      TestRandom random = new TestRandom();
40      Permutation parent, expected;
41      // 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
42      random.Reset();
43      random.IntNumbers = new int[] { 3, 6, 1, 1, 1, 0 };
44      parent = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
45      Assert.IsTrue(parent.Validate());
46
47      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 4, 5, 6, 3, 7 });
48      Assert.IsTrue(expected.Validate());
49      ScrambleManipulator.Apply(random, parent);
50      Assert.IsTrue(parent.Validate());
51      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, parent));
52    }
53  }
54}
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