#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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.Encodings.PermutationEncoding;
using HeuristicLab.Tests;
using Microsoft.VisualStudio.TestTools.UnitTesting;
namespace HeuristicLab.Encodings.PermutationEncoding_33.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(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
Assert.IsTrue(parent.Validate());
expected = new Permutation(PermutationTypes.RelativeUndirected, 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));
}
}
}