#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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);
}
}
}