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source: branches/2839_HiveProjectManagement/HeuristicLab.Tests/HeuristicLab.Encodings.BinaryVectorEncoding-3.3/SinglePositionBitflipManipulatorTest.cs @ 17868

Last change on this file since 17868 was 16057, checked in by jkarder, 6 years ago

#2839:

File size: 2.3 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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.BinaryVectorEncoding.Tests {
26  /// <summary>
27  ///This is a test class for SinglePositionBitflipManipulator and is intended
28  ///to contain all SinglePositionBitflipManipulator Unit Tests
29  ///</summary>
30  [TestClass()]
31  public class SinglePositionBitflipManipulatorTest {
32    /// <summary>
33    ///A test for Apply
34    ///</summary>
35    [TestMethod]
36    [TestCategory("Encodings.BinaryVector")]
37    [TestProperty("Time", "short")]
38    public void SinglePositionBitflipManipulatorApplyTest() {
39      TestRandom random = new TestRandom();
40      BinaryVector parent, expected;
41      // The following test is based on Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg, p. 21.
42      random.Reset();
43      random.IntNumbers = new int[] { 4 };
44      parent = new BinaryVector(new bool[] { true, true, true, false, false, false, false, false, false,
45        false, true, true, true, true, true, true, false, false, false, true, false, true});
46      expected = new BinaryVector(new bool[] { true, true, true, false, true, false, false, false, false,
47        false, true, true, true, true, true, true, false, false, false, true, false, true});
48      SinglePositionBitflipManipulator.Apply(random, parent);
49      Assert.IsTrue(Auxiliary.BinaryVectorIsEqualByPosition(expected, parent));
50    }
51  }
52}
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