| 1 | //#region License Information
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| 2 | ///* HeuristicLab
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| 3 | // * Copyright (C) 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.IO;
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| 23 | //using HEAL.Attic;
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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.Problems.BinPacking3D;
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| 27 | //using HeuristicLab.Selection;
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| 28 | //using Microsoft.VisualStudio.TestTools.UnitTesting;
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| 29 |
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| 30 | //namespace HeuristicLab.Tests {
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| 31 | // [TestClass]
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| 32 | // public class GABppSampleTest {
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| 33 | // private const string SampleFileName = "GA_BPP";
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| 34 |
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| 35 | // private static readonly ProtoBufSerializer serializer = new ProtoBufSerializer();
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| 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 CreateGaBppSampleTest() {
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| 41 | // var ga = CreateGaBppSample();
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| 42 | // string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
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| 43 | // serializer.Serialize(ga, path);
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| 44 | // }
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| 45 |
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| 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 RunGaBppSampleTest() {
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| 50 | // var ga = CreateGaBppSample();
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| 51 | // ga.SetSeedRandomly.Value = false;
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| 52 | // SamplesUtils.RunAlgorithm(ga);
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| 53 | // Assert.AreEqual(0.59369488300408157, SamplesUtils.GetDoubleResult(ga, "BestQuality"), 1E-6);
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| 54 | // Assert.AreEqual(0.51834350243004124, SamplesUtils.GetDoubleResult(ga, "CurrentAverageQuality"),1E-6);
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| 55 | // Assert.AreEqual(0.36227753691428577, SamplesUtils.GetDoubleResult(ga, "CurrentWorstQuality"),1E-6);
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| 56 | // Assert.AreEqual(15250, SamplesUtils.GetIntResult(ga, "EvaluatedSolutions"));
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| 57 | // }
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| 58 |
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| 59 | // private GeneticAlgorithm CreateGaBppSample() {
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| 60 | // GeneticAlgorithm ga = new GeneticAlgorithm();
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| 61 |
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| 62 | // #region Problem Configuration
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| 63 | // var bpp = new PermutationProblem();
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| 64 | // #endregion
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| 65 | // #region Algorithm Configuration
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| 66 | // ga.Name = "Genetic Algorithm - Bin Packing Problem (3D)";
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| 67 | // ga.Description = "A genetic algorithm which solves the a 3d bin packing problem instance";
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| 68 | // ga.Problem = bpp;
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| 69 | // SamplesUtils.ConfigureGeneticAlgorithmParameters<TournamentSelector, PartiallyMatchedCrossover, Swap2Manipulator>(
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| 70 | // ga, 300, 1, 50, 0.05, 3);
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| 71 | // #endregion
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| 72 |
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| 73 | // return ga;
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| 74 | // }
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| 75 | // }
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| 76 | //}
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