[11450] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16140] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[11450] | 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.IO;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Algorithms.GeneticAlgorithm;
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| 25 | using HeuristicLab.Encodings.PermutationEncoding;
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| 26 | using HeuristicLab.Persistence.Default.Xml;
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| 27 | using HeuristicLab.Problems.Instances.TSPLIB;
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| 28 | using HeuristicLab.Problems.TravelingSalesman;
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| 29 | using HeuristicLab.Selection;
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| 30 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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| 31 |
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| 32 | namespace HeuristicLab.Tests {
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| 33 | [TestClass]
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| 34 | public class GATspSampleTest {
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[11514] | 35 | private const string SampleFileName = "GA_TSP";
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[11450] | 36 |
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| 37 | [TestMethod]
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| 38 | [TestCategory("Samples.Create")]
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| 39 | [TestProperty("Time", "medium")]
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| 40 | public void CreateGaTspSampleTest() {
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| 41 | var ga = CreateGaTspSample();
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[11514] | 42 | string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
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| 43 | XmlGenerator.Serialize(ga, path);
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[11450] | 44 | }
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[11514] | 45 |
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[11450] | 46 | [TestMethod]
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| 47 | [TestCategory("Samples.Execute")]
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| 48 | [TestProperty("Time", "long")]
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| 49 | public void RunGaTspSampleTest() {
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| 50 | var ga = CreateGaTspSample();
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| 51 | ga.SetSeedRandomly.Value = false;
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| 52 | SamplesUtils.RunAlgorithm(ga);
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| 53 | Assert.AreEqual(12332, SamplesUtils.GetDoubleResult(ga, "BestQuality"));
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| 54 | Assert.AreEqual(13123.2, SamplesUtils.GetDoubleResult(ga, "CurrentAverageQuality"));
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| 55 | Assert.AreEqual(14538, SamplesUtils.GetDoubleResult(ga, "CurrentWorstQuality"));
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| 56 | Assert.AreEqual(99100, SamplesUtils.GetIntResult(ga, "EvaluatedSolutions"));
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| 57 | }
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| 58 |
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| 59 | private GeneticAlgorithm CreateGaTspSample() {
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| 60 | GeneticAlgorithm ga = new GeneticAlgorithm();
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[11514] | 61 |
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[11450] | 62 | #region Problem Configuration
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| 63 | var provider = new TSPLIBTSPInstanceProvider();
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| 64 | var instance = provider.GetDataDescriptors().Where(x => x.Name == "ch130").Single();
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| 65 | TravelingSalesmanProblem tspProblem = new TravelingSalesmanProblem();
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| 66 | tspProblem.Load(provider.LoadData(instance));
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| 67 | tspProblem.UseDistanceMatrix.Value = true;
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| 68 | #endregion
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| 69 | #region Algorithm Configuration
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| 70 | ga.Name = "Genetic Algorithm - TSP";
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| 71 | ga.Description = "A genetic algorithm which solves the \"ch130\" traveling salesman problem (imported from TSPLIB)";
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| 72 | ga.Problem = tspProblem;
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| 73 | SamplesUtils.ConfigureGeneticAlgorithmParameters<ProportionalSelector, OrderCrossover2, InversionManipulator>(
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| 74 | ga, 100, 1, 1000, 0.05);
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| 75 | #endregion
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[11514] | 76 |
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[11450] | 77 | return ga;
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| 78 | }
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| 79 | }
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| 80 | }
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