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source: trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/TranslocationInversionManipulatorTest.cs @ 12970

Last change on this file since 12970 was 12012, checked in by ascheibe, 10 years ago

#2212 merged r12008, r12009, r12010 back into trunk

File size: 2.3 KB
RevLine 
[2854]1#region License Information
2/* HeuristicLab
[12012]3 * Copyright (C) 2002-2015 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
[6891]22using HeuristicLab.Tests;
[2854]23using Microsoft.VisualStudio.TestTools.UnitTesting;
24
[9764]25namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
[2854]26  /// <summary>
27  ///This is a test class for TranslocationInversionManipulator and is intended
28  ///to contain all TranslocationInversionManipulator Unit Tests
29  ///</summary>
30  [TestClass()]
31  public class TranslocationInversionManipulatorTest {
32    /// <summary>
33    ///A test for Apply
34    ///</summary>
[9767]35    [TestMethod]
[9777]36    [TestCategory("Encodings.Permutation")]
37    [TestProperty("Time", "short")]
[2854]38    public void TranslocationInversionManipulatorApplyTest() {
39      TestRandom random = new TestRandom();
[3053]40      Permutation parent, expected;
[2854]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[] { 2, 4, 4 };
[3231]44      parent = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
[2854]45      Assert.IsTrue(parent.Validate());
[4068]46
[3231]47      expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 5, 6, 4, 3, 2, 7 });
[2854]48      Assert.IsTrue(expected.Validate());
49      TranslocationInversionManipulator.Apply(random, parent);
50      Assert.IsTrue(parent.Validate());
51      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, parent));
52    }
53  }
54}
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