1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2014 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 System.Linq;
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24 | using HeuristicLab.Algorithms.GeneticAlgorithm;
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25 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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26 | using HeuristicLab.Persistence.Default.Xml;
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27 | using HeuristicLab.Problems.ArtificialAnt;
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28 | using HeuristicLab.Selection;
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29 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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30 |
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31 | namespace HeuristicLab.Tests {
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32 | [TestClass]
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33 | public class GPArtificialAntSampleTest {
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34 | private const string SampleFileName = "SGP_SantaFe";
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35 |
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36 | [TestMethod]
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37 | [TestCategory("Samples.Create")]
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38 | [TestProperty("Time", "medium")]
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39 | public void CreateGpArtificialAntSampleTest() {
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40 | var ga = CreateGpArtificialAntSample();
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41 | string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
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42 | XmlGenerator.Serialize(ga, path);
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43 | }
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44 |
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45 | [TestMethod]
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46 | [TestCategory("Samples.Execute")]
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47 | [TestProperty("Time", "long")]
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48 | public void RunGpArtificialAntSampleTest() {
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49 | var ga = CreateGpArtificialAntSample();
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50 | ga.SetSeedRandomly.Value = false;
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51 | SamplesUtils.RunAlgorithm(ga);
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52 | Assert.AreEqual(81, SamplesUtils.GetDoubleResult(ga, "BestQuality"));
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53 | Assert.AreEqual(48.19, SamplesUtils.GetDoubleResult(ga, "CurrentAverageQuality"));
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54 | Assert.AreEqual(0, SamplesUtils.GetDoubleResult(ga, "CurrentWorstQuality"));
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55 | Assert.AreEqual(50950, SamplesUtils.GetIntResult(ga, "EvaluatedSolutions"));
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56 | }
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57 |
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58 | public GeneticAlgorithm CreateGpArtificialAntSample() {
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59 | GeneticAlgorithm ga = new GeneticAlgorithm();
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60 |
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61 | #region Problem Configuration
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62 | ArtificialAntProblem antProblem = new ArtificialAntProblem();
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63 | antProblem.BestKnownQuality.Value = 89;
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64 | antProblem.MaxExpressionDepth.Value = 10;
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65 | antProblem.MaxExpressionLength.Value = 100;
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66 | antProblem.MaxFunctionArguments.Value = 3;
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67 | antProblem.MaxFunctionDefinitions.Value = 3;
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68 | antProblem.MaxTimeSteps.Value = 600;
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69 | #endregion
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70 | #region Algorithm Configuration
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71 | ga.Name = "Genetic Programming - Artificial Ant";
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72 | ga.Description = "A standard genetic programming algorithm to solve the artificial ant problem (Santa-Fe trail)";
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73 | ga.Problem = antProblem;
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74 | SamplesUtils.ConfigureGeneticAlgorithmParameters<TournamentSelector, SubtreeCrossover, MultiSymbolicExpressionTreeArchitectureManipulator>(
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75 | ga, 1000, 1, 50, 0.15, 5);
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76 | var mutator = (MultiSymbolicExpressionTreeArchitectureManipulator)ga.Mutator;
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77 | mutator.Operators.SetItemCheckedState(mutator.Operators
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78 | .OfType<FullTreeShaker>()
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79 | .Single(), false);
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80 | mutator.Operators.SetItemCheckedState(mutator.Operators
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81 | .OfType<OnePointShaker>()
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82 | .Single(), false);
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83 | mutator.Operators.SetItemCheckedState(mutator.Operators
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84 | .OfType<ArgumentDeleter>()
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85 | .Single(), false);
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86 | mutator.Operators.SetItemCheckedState(mutator.Operators
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87 | .OfType<SubroutineDeleter>()
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88 | .Single(), false);
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89 | #endregion
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90 |
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91 | return ga;
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92 | }
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93 | }
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94 | }
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