1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using HeuristicLab.Tests;
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23 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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24 |
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25 | namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
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26 | /// <summary>
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27 | ///This is a test class for OrderCrossover2Test and is intended
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28 | ///to contain all OrderCrossover2Test Unit Tests
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29 | ///</summary>
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30 | [TestClass()]
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31 | public class OrderCrossover2Test {
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32 | /// <summary>
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33 | ///A test for Apply
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34 | ///</summary>
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35 | [TestMethod]
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36 | [TestCategory("Encodings.Permutation")]
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37 | [TestProperty("Time", "short")]
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38 | public void OrderCrossover2ApplyTest() {
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39 | TestRandom random = new TestRandom();
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40 | Permutation parent1, parent2, expected, actual;
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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. p. 135.
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42 | random.Reset();
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43 | random.IntNumbers = new int[] { 5, 7 };
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44 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
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45 | Assert.IsTrue(parent1.Validate());
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46 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 5, 6, 0, 9, 1, 3, 8, 4, 7 });
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47 | Assert.IsTrue(parent2.Validate());
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48 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 0, 9, 1, 3, 5, 6, 7, 8, 4 });
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49 | Assert.IsTrue(expected.Validate());
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50 | actual = OrderCrossover2.Apply(random, parent1, parent2);
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51 | Assert.IsTrue(actual.Validate());
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52 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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53 |
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54 | // perform a test when the two permutations are of unequal length
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55 | random.Reset();
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56 | bool exceptionFired = false;
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57 | try {
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58 | OrderCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
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59 | }
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60 | catch (System.ArgumentException) {
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61 | exceptionFired = true;
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62 | }
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63 | Assert.IsTrue(exceptionFired);
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64 | }
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65 | }
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66 | }
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