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source: trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/UniformLikeCrossoverTest.cs @ 14455

Last change on this file since 14455 was 14354, checked in by bburlacu, 8 years ago

#2685: Revert accidental commit.

File size: 2.3 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.Core;
23using HeuristicLab.Tests;
24using Microsoft.VisualStudio.TestTools.UnitTesting;
25
26namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
27  /// <summary>
28  ///This is a test class for UniformLikeCrossoverTest and is intended
29  ///to contain all UniformLikeCrossoverTest Unit Tests
30  ///</summary>
31  [TestClass()]
32  public class UniformLikeCrossoverTest {
33    /// <summary>
34    ///A test for Apply
35    ///</summary>
36    [TestMethod]
37    [TestCategory("Encodings.Permutation")]
38    [TestProperty("Time", "short")]
39    public void UniformLikeCrossoverApplyTest() {
40      // test from the paper
41      IRandom random = new TestRandom(new int[] { 0 }, new double[] { 0.2, 0.7, 0.2, 0.2 }); // TODO: Initialize to an appropriate value
42      Permutation parent1 = new Permutation(PermutationTypes.Absolute,
43        new int[] { 3, 2, 0, 7, 5, 4, 1, 6 });
44      Assert.IsTrue(parent1.Validate());
45      Permutation parent2 = new Permutation(PermutationTypes.Absolute,
46        new int[] { 5, 0, 4, 7, 1, 3, 2, 6 });
47      Assert.IsTrue(parent2.Validate());
48      Permutation expected = new Permutation(PermutationTypes.Absolute,
49        new int[] { 3, 0, 4, 7, 5, 2, 1, 6 });
50      Assert.IsTrue(expected.Validate());
51      Permutation actual;
52      actual = UniformLikeCrossover.Apply(random, parent1, parent2);
53      Assert.IsTrue(actual.Validate());
54      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
55    }
56  }
57}
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