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source: trunk/sources/HeuristicLab.Tests/HeuristicLab-3.3/Samples/GABppSampleTest.cs @ 14185

Last change on this file since 14185 was 14185, checked in by swagner, 8 years ago

#2526: Updated year of copyrights in license headers

File size: 2.9 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.IO;
23using System.Linq;
24using HeuristicLab.Algorithms.GeneticAlgorithm;
25using HeuristicLab.Encodings.PermutationEncoding;
26using HeuristicLab.Persistence.Default.Xml;
27using HeuristicLab.Problems.BinPacking3D;
28using HeuristicLab.Selection;
29using Microsoft.VisualStudio.TestTools.UnitTesting;
30
31namespace HeuristicLab.Tests {
32  [TestClass]
33  public class GABppSampleTest {
34    private const string SampleFileName = "GA_BPP";
35
36    [TestMethod]
37    [TestCategory("Samples.Create")]
38    [TestProperty("Time", "medium")]
39    public void CreateGaBppSampleTest() {
40      var ga = CreateGaBppSample();
41      string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
42      XmlGenerator.Serialize(ga, path);
43    }
44
45    [TestMethod]
46    [TestCategory("Samples.Execute")]
47    [TestProperty("Time", "long")]
48    public void RunGaBppSampleTest() {
49      var ga = CreateGaBppSample();
50      ga.SetSeedRandomly.Value = false;
51      SamplesUtils.RunAlgorithm(ga);
52      Assert.AreEqual(0.59369488300408157, SamplesUtils.GetDoubleResult(ga, "BestQuality"), 1E-6);
53      Assert.AreEqual(0.51834350243004124, SamplesUtils.GetDoubleResult(ga, "CurrentAverageQuality"),1E-6);
54      Assert.AreEqual(0.36227753691428577, SamplesUtils.GetDoubleResult(ga, "CurrentWorstQuality"),1E-6);
55      Assert.AreEqual(15250, SamplesUtils.GetIntResult(ga, "EvaluatedSolutions"));
56    }
57
58    private GeneticAlgorithm CreateGaBppSample() {
59      GeneticAlgorithm ga = new GeneticAlgorithm();
60
61      #region Problem Configuration
62      var bpp = new PermutationProblem();
63      #endregion
64      #region Algorithm Configuration
65      ga.Name = "Genetic Algorithm - Bin Packing Problem (3D)";
66      ga.Description = "A genetic algorithm which solves the a 3d bin packing problem instance";
67      ga.Problem = bpp;
68      SamplesUtils.ConfigureGeneticAlgorithmParameters<TournamentSelector, PartiallyMatchedCrossover, Swap2Manipulator>(
69        ga, 300, 1, 50, 0.05, 3);
70      #endregion
71
72      return ga;
73    }
74  }
75}
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