| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Tests;
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| 23 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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| 24 |
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| 25 | namespace HeuristicLab.Encodings.PermutationEncoding.Tests {
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| 26 | /// <summary>
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| 27 | ///This is a test class for TranslocationInversionManipulator and is intended
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| 28 | ///to contain all TranslocationInversionManipulator Unit Tests
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| 29 | ///</summary>
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| 30 | [TestClass()]
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| 31 | public class TranslocationInversionManipulatorTest {
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| 32 | /// <summary>
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| 33 | ///A test for Apply
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| 34 | ///</summary>
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| 35 | [TestMethod]
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| 36 | [TestCategory("Encodings.Permutation")]
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| 37 | [TestProperty("Time", "short")]
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| 38 | public void TranslocationInversionManipulatorApplyTest() {
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| 39 | TestRandom random = new TestRandom();
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| 40 | Permutation parent, expected;
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| 41 | // 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
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| 42 | random.Reset();
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| 43 | random.IntNumbers = new int[] { 2, 4, 4 };
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| 44 | parent = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
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| 45 | Assert.IsTrue(parent.Validate());
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| 46 |
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| 47 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 5, 6, 4, 3, 2, 7 });
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| 48 | Assert.IsTrue(expected.Validate());
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| 49 | TranslocationInversionManipulator.Apply(random, parent);
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| 50 | Assert.IsTrue(parent.Validate());
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| 51 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, parent));
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| 52 | }
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| 53 | }
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| 54 | }
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