#region License Information /* HeuristicLab * Copyright (C) 2002-2010 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.Permutation; using Microsoft.VisualStudio.TestTools.UnitTesting; using HeuristicLab.Core; namespace HeuristicLab.Permutation.Tests { /// ///This is a test class for InsertionManipulator and is intended ///to contain all InsertionManipulator Unit Tests /// [TestClass()] public class InsertionManipulatorTest { 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 Apply /// [TestMethod()] public void InsertionManipulatorApplyTest() { TestRandom random = new TestRandom(); Permutation parent, expected; // 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 random.Reset(); random.IntNumbers = new int[] { 3, 6 }; parent = new Permutation(new int[] { 0, 1, 2, 3, 4, 5, 6, 7 }); Assert.IsTrue(parent.Validate()); expected = new Permutation(new int[] { 0, 1, 2, 4, 5, 6, 3, 7 }); Assert.IsTrue(expected.Validate()); InsertionManipulator.Apply(random, parent); Assert.IsTrue(parent.Validate()); Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, parent)); // perform a test when the two permutations are of unequal length random.Reset(); bool exceptionFired = false; try { CyclicCrossover.Apply(random, new Permutation(8), new Permutation(6)); } catch (System.ArgumentException) { exceptionFired = true; } Assert.IsTrue(exceptionFired); } /// ///A test for InsertionManipulator Constructor /// [TestMethod()] public void InsertionManipulatorConstructorTest() { InsertionManipulator target = new InsertionManipulator(); } } }