[2854] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 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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[3376] | 22 | using HeuristicLab.Common;
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[2906] | 23 | using HeuristicLab.Core;
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[2836] | 24 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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[3053] | 25 | using HeuristicLab.Encodings.PermutationEncoding;
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[2836] | 26 |
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[3053] | 27 | namespace HeuristicLab.Encodings.PermutationEncoding_33.Tests {
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[2836] | 28 | /// <summary>
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| 29 | ///This is a test class for OrderCrossoverTest and is intended
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| 30 | ///to contain all OrderCrossoverTest Unit Tests
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| 31 | ///</summary>
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| 32 | [TestClass()]
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| 33 | public class OrderCrossoverTest {
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| 34 |
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| 35 |
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| 36 | private TestContext testContextInstance;
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| 37 |
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| 38 | /// <summary>
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| 39 | ///Gets or sets the test context which provides
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| 40 | ///information about and functionality for the current test run.
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| 41 | ///</summary>
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| 42 | public TestContext TestContext {
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| 43 | get {
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| 44 | return testContextInstance;
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| 45 | }
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| 46 | set {
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| 47 | testContextInstance = value;
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| 48 | }
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| 49 | }
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| 50 |
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| 51 | #region Additional test attributes
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| 52 | //
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| 53 | //You can use the following additional attributes as you write your tests:
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| 54 | //
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| 55 | //Use ClassInitialize to run code before running the first test in the class
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| 56 | //[ClassInitialize()]
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| 57 | //public static void MyClassInitialize(TestContext testContext)
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| 58 | //{
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| 59 | //}
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| 60 | //
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| 61 | //Use ClassCleanup to run code after all tests in a class have run
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| 62 | //[ClassCleanup()]
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| 63 | //public static void MyClassCleanup()
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| 64 | //{
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| 65 | //}
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| 66 | //
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| 67 | //Use TestInitialize to run code before running each test
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| 68 | //[TestInitialize()]
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| 69 | //public void MyTestInitialize()
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| 70 | //{
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| 71 | //}
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| 72 | //
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| 73 | //Use TestCleanup to run code after each test has run
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| 74 | //[TestCleanup()]
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| 75 | //public void MyTestCleanup()
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| 76 | //{
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| 77 | //}
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| 78 | //
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| 79 | #endregion
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| 80 |
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| 81 |
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| 82 | /// <summary>
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| 83 | ///A test for Cross
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| 84 | ///</summary>
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| 85 | [TestMethod()]
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[3063] | 86 | [DeploymentItem("HeuristicLab.Encodings.PermutationEncoding-3.3.dll")]
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[2836] | 87 | public void OrderCrossoverCrossTest() {
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| 88 | TestRandom random = new TestRandom();
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[2854] | 89 | OrderCrossover_Accessor target =
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| 90 | new OrderCrossover_Accessor(new PrivateObject(typeof(OrderCrossover)));
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[2840] | 91 | // perform a test with more than two parents
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| 92 | random.Reset();
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| 93 | bool exceptionFired = false;
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| 94 | try {
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[3053] | 95 | target.Cross(random, new ItemArray<Permutation>(new Permutation[] {
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[3231] | 96 | new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));
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[2840] | 97 | } catch (System.InvalidOperationException) {
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| 98 | exceptionFired = true;
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| 99 | }
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| 100 | Assert.IsTrue(exceptionFired);
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[2836] | 101 | }
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| 102 |
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| 103 | /// <summary>
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| 104 | ///A test for Apply
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| 105 | ///</summary>
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| 106 | [TestMethod()]
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| 107 | public void OrderCrossoverApplyTest() {
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| 108 | TestRandom random = new TestRandom();
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[3053] | 109 | Permutation parent1, parent2, expected, actual;
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[2836] | 110 | // The following test is based on an example from Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg, pp. 55-56
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| 111 | random.Reset();
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| 112 | random.IntNumbers = new int[] { 3, 6 };
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[3231] | 113 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 });
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[2836] | 114 | Assert.IsTrue(parent1.Validate());
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[3231] | 115 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 8, 2, 6, 7, 1, 5, 4, 0, 3 });
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[2836] | 116 | Assert.IsTrue(parent2.Validate());
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[3231] | 117 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 7, 1, 3, 4, 5, 6, 0, 8 });
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[2836] | 118 | Assert.IsTrue(expected.Validate());
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| 119 | actual = OrderCrossover.Apply(random, parent1, parent2);
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| 120 | Assert.IsTrue(actual.Validate());
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| 121 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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| 122 | // 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, pp. 129-170.
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| 123 | random.Reset();
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| 124 | random.IntNumbers = new int[] { 2, 4 };
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[3231] | 125 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
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[2836] | 126 | Assert.IsTrue(parent1.Validate());
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[3231] | 127 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 5, 7, 6, 4, 2, 0 });
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[2836] | 128 | Assert.IsTrue(parent2.Validate());
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[3231] | 129 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 6, 2, 3, 4, 0, 1, 5 });
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[2836] | 130 | actual = OrderCrossover.Apply(random, parent1, parent2);
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| 131 | Assert.IsTrue(actual.Validate());
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| 132 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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| 133 | // The following test is based on an example from Talbi, E.G. 2009. Metaheuristics - From Design to Implementation. Wiley, p. 218.
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| 134 | random.Reset();
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| 135 | random.IntNumbers = new int[] { 2, 5 };
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[3231] | 136 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 });
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[2836] | 137 | Assert.IsTrue(parent1.Validate());
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[3231] | 138 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 3, 0, 4, 8, 2, 5, 1, 6 });
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[2836] | 139 | Assert.IsTrue(parent2.Validate());
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[3231] | 140 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 8, 2, 3, 4, 5, 1, 6, 7 });
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[2836] | 141 | Assert.IsTrue(expected.Validate());
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| 142 | actual = OrderCrossover.Apply(random, parent1, parent2);
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| 143 | Assert.IsTrue(actual.Validate());
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| 144 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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| 145 | // The following test is not based on published examples
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| 146 | random.Reset();
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| 147 | random.IntNumbers = new int[] { 0, 5 };
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[3231] | 148 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 });
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[2836] | 149 | Assert.IsTrue(parent1.Validate());
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[3231] | 150 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 5, 3, 4, 0, 9, 8, 2, 7, 1, 6 });
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[2836] | 151 | Assert.IsTrue(parent2.Validate());
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[3231] | 152 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 5, 0, 9 });
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[2836] | 153 | Assert.IsTrue(expected.Validate());
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| 154 | actual = OrderCrossover.Apply(random, parent1, parent2);
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| 155 | Assert.IsTrue(actual.Validate());
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| 156 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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| 157 | // based on the previous with changed breakpoints
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| 158 | random.Reset();
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[2840] | 159 | random.IntNumbers = new int[] { 6, 9 };
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[3231] | 160 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 3, 4, 8, 2, 7, 1, 6, 0, 5, 9 });
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[2836] | 161 | Assert.IsTrue(expected.Validate());
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| 162 | actual = OrderCrossover.Apply(random, parent1, parent2);
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| 163 | Assert.IsTrue(actual.Validate());
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| 164 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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| 165 | // another one based on the previous with changed breakpoints
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| 166 | random.Reset();
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[2840] | 167 | random.IntNumbers = new int[] { 0, 9 };
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[3231] | 168 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 });
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[2836] | 169 | Assert.IsTrue(expected.Validate());
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| 170 | actual = OrderCrossover.Apply(random, parent1, parent2);
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| 171 | Assert.IsTrue(actual.Validate());
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| 172 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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[2867] | 173 |
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[2840] | 174 | // perform a test when the two permutations are of unequal length
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| 175 | random.Reset();
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| 176 | bool exceptionFired = false;
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| 177 | try {
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[3231] | 178 | OrderCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
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[2840] | 179 | } catch (System.ArgumentException) {
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| 180 | exceptionFired = true;
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| 181 | }
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| 182 | Assert.IsTrue(exceptionFired);
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[2836] | 183 | }
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| 184 | }
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| 185 | }
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