#region License Information /* HeuristicLab * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Core; using HeuristicLab.Encodings.PermutationEncoding; using HeuristicLab.Tests; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Encodings.PermutationEncoding_33.Tests { /// ///This is a test class for CosaCrossoverTest and is intended ///to contain all CosaCrossoverTest Unit Tests /// [TestClass()] public class CosaCrossoverTest { private TestContext testContextInstance; /// ///Gets or sets the test context which provides ///information about and functionality for the current test run. /// public TestContext TestContext { get { return testContextInstance; } set { testContextInstance = value; } } #region Additional test attributes // //You can use the following additional attributes as you write your tests: // //Use ClassInitialize to run code before running the first test in the class //[ClassInitialize()] //public static void MyClassInitialize(TestContext testContext) //{ //} // //Use ClassCleanup to run code after all tests in a class have run //[ClassCleanup()] //public static void MyClassCleanup() //{ //} // //Use TestInitialize to run code before running each test //[TestInitialize()] //public void MyTestInitialize() //{ //} // //Use TestCleanup to run code after each test has run //[TestCleanup()] //public void MyTestCleanup() //{ //} // #endregion /// ///A test for Cross /// [TestMethod()] [DeploymentItem("HeuristicLab.Encodings.PermutationEncoding-3.3.dll")] public void CosaCrossoverCrossTest() { TestRandom random = new TestRandom(); CosaCrossover_Accessor target = new CosaCrossover_Accessor(new PrivateObject(typeof(CosaCrossover))); // perform a test with more than two parents random.Reset(); bool exceptionFired = false; try { target.Cross(random, new ItemArray(new Permutation[] { new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)})); } catch (System.InvalidOperationException) { exceptionFired = true; } Assert.IsTrue(exceptionFired); } /// ///A test for Apply /// [TestMethod()] public void CosaCrossoverApplyTest() { TestRandom random = new TestRandom(); Permutation parent1, parent2, expected, actual; // The following test is based on an example from Wendt, O. 1994. COSA: COoperative Simulated Annealing - Integration von Genetischen Algorithmen und Simulated Annealing am Beispiel der Tourenplanung. Dissertation Thesis. IWI Frankfurt. random.Reset(); random.IntNumbers = new int[] { 1 }; parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 5, 2, 4, 3 }); Assert.IsTrue(parent1.Validate()); parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 3, 0, 2, 1, 4, 5 }); Assert.IsTrue(parent2.Validate()); expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 4, 2, 5, 3 }); Assert.IsTrue(expected.Validate()); actual = CosaCrossover.Apply(random, parent1, parent2); Assert.IsTrue(actual.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); // The following test is not based on published examples random.Reset(); random.IntNumbers = new int[] { 4 }; parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 }); Assert.IsTrue(parent1.Validate()); parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 5, 7, 6, 4, 2, 0 }); Assert.IsTrue(parent2.Validate()); expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 6, 5, 3, 4, 2, 1, 0 }); Assert.IsTrue(expected.Validate()); actual = CosaCrossover.Apply(random, parent1, parent2); Assert.IsTrue(actual.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); // The following test is not based on published examples random.Reset(); random.IntNumbers = new int[] { 5 }; parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 }); Assert.IsTrue(parent1.Validate()); parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 4, 3, 5, 1, 0, 9, 7, 2, 8, 6 }); Assert.IsTrue(parent2.Validate()); expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 6, 2, 3, 4, 5, 1, 0, 9, 8 }); Assert.IsTrue(expected.Validate()); actual = CosaCrossover.Apply(random, parent1, parent2); Assert.IsTrue(actual.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); // perform a test when the two permutations are of unequal length random.Reset(); bool exceptionFired = false; try { CosaCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6)); } catch (System.ArgumentException) { exceptionFired = true; } Assert.IsTrue(exceptionFired); } } }