#region License Information /* HeuristicLab * Copyright (C) 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.Tests; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Encodings.PermutationEncoding.Tests { /// ///This is a test class for OrderCrossoverTest and is intended ///to contain all OrderCrossoverTest Unit Tests /// [TestClass()] public class OrderCrossoverTest { /// ///A test for Apply /// [TestMethod] [TestCategory("Encodings.Permutation")] [TestProperty("Time", "short")] public void OrderCrossoverApplyTest() { TestRandom random = new TestRandom(); Permutation parent1, parent2, expected, actual; // 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 random.Reset(); random.IntNumbers = new int[] { 3, 6 }; parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 }); Assert.IsTrue(parent1.Validate()); parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 8, 2, 6, 7, 1, 5, 4, 0, 3 }); Assert.IsTrue(parent2.Validate()); expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 7, 1, 3, 4, 5, 6, 0, 8 }); Assert.IsTrue(expected.Validate()); actual = OrderCrossover.Apply(random, parent1, parent2); Assert.IsTrue(actual.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); // 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. random.Reset(); random.IntNumbers = new int[] { 2, 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, 2, 3, 4, 0, 1, 5 }); actual = OrderCrossover.Apply(random, parent1, parent2); Assert.IsTrue(actual.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); // The following test is based on an example from Talbi, E.G. 2009. Metaheuristics - From Design to Implementation. Wiley, p. 218. random.Reset(); random.IntNumbers = new int[] { 2, 5 }; parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 }); Assert.IsTrue(parent1.Validate()); parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 3, 0, 4, 8, 2, 5, 1, 6 }); Assert.IsTrue(parent2.Validate()); expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 8, 2, 3, 4, 5, 1, 6, 7 }); Assert.IsTrue(expected.Validate()); actual = OrderCrossover.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[] { 0, 5 }; parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 }); Assert.IsTrue(parent1.Validate()); parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 5, 3, 4, 0, 9, 8, 2, 7, 1, 6 }); Assert.IsTrue(parent2.Validate()); expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 5, 0, 9 }); Assert.IsTrue(expected.Validate()); actual = OrderCrossover.Apply(random, parent1, parent2); Assert.IsTrue(actual.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); // based on the previous with changed breakpoints random.Reset(); random.IntNumbers = new int[] { 6, 9 }; expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 3, 4, 8, 2, 7, 1, 6, 0, 5, 9 }); Assert.IsTrue(expected.Validate()); actual = OrderCrossover.Apply(random, parent1, parent2); Assert.IsTrue(actual.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); // another one based on the previous with changed breakpoints random.Reset(); random.IntNumbers = new int[] { 0, 9 }; expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 }); Assert.IsTrue(expected.Validate()); actual = OrderCrossover.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 { OrderCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6)); } catch (System.ArgumentException) { exceptionFired = true; } Assert.IsTrue(exceptionFired); } } }