1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2017 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 System.Linq;
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23 | using System.Threading;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Problems.GeneralizedQuadraticAssignment;
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26 | using HeuristicLab.Problems.Instances.CordeauGQAP;
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27 | using HeuristicLab.Random;
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28 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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29 |
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30 | namespace UnitTests {
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31 | [TestClass]
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32 | public class CordeauCrossoverTest {
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33 | [TestMethod]
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34 | public void CordeauCrossoverFunctionalityTest() {
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35 | var provider = new CordeauGQAPInstanceProvider();
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36 | var instance = provider.LoadData(provider.GetDataDescriptors().Single(x => x.Name == "20-15-75"));
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37 | var gqap = new GQAP();
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38 | gqap.Load(instance);
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39 | var evaluator = gqap.Evaluator;
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40 |
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41 | for (int i = 0; i < 100; i++) {
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42 | var random = new MersenneTwister((uint)i);
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43 | var parent1 = GreedyRandomizedSolutionCreator.CreateSolution(random, gqap.ProblemInstance, 100, true, CancellationToken.None);
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44 | var parent2 = GreedyRandomizedSolutionCreator.CreateSolution(random, gqap.ProblemInstance, 100, true, CancellationToken.None);
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45 |
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46 | try {
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47 | CordeauCrossover.Apply(random,
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48 | parent1,
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49 | new DoubleValue(gqap.Evaluate(parent1)),
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50 | parent2,
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51 | new DoubleValue(gqap.Evaluate(parent2)),
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52 | gqap.ProblemInstance,
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53 | new IntValue(0));
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54 | } catch {
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55 | Assert.Fail("Error during crossover");
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56 | }
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57 | }
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58 | }
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59 | }
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60 | }
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