[11450] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15583] | 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.OffspringSelectionGeneticAlgorithm;
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| 25 | using HeuristicLab.Persistence.Default.Xml;
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| 26 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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| 27 | using HeuristicLab.Problems.Instances.DataAnalysis;
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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 GeSymbolicRegressionSampleTest {
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[11514] | 34 | #region artificial ant
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| 35 | private const string GeArtificialAntSampleFileName = "GE_ArtificialAnt";
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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 CreateGeArtificialAntSampleTest() {
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| 41 | var geaa = CreateGeArtificialAntSample();
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[11514] | 42 | string path = Path.Combine(SamplesUtils.SamplesDirectory, GeArtificialAntSampleFileName + SamplesUtils.SampleFileExtension);
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| 43 | XmlGenerator.Serialize(geaa, path);
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[11450] | 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 RunGeArtificalAntSampleTest() {
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| 50 | var ga = CreateGeArtificialAntSample();
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| 51 | ga.SetSeedRandomly.Value = false;
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| 52 | SamplesUtils.RunAlgorithm(ga);
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| 53 | }
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| 54 |
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| 55 | public OffspringSelectionGeneticAlgorithm CreateGeArtificialAntSample() {
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| 56 | OffspringSelectionGeneticAlgorithm ga = new OffspringSelectionGeneticAlgorithm();
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[11514] | 57 |
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[11450] | 58 | #region Problem Configuration
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| 59 | var problem = new HeuristicLab.Problems.GrammaticalEvolution.GEArtificialAntProblem();
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| 60 | #endregion
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| 61 | #region Algorithm Configuration
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| 62 | ga.Name = "Grammatical Evolution - Artificial Ant (SantaFe)";
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| 63 | ga.Description = "Grammatical evolution algorithm for solving a artificial ant problem";
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| 64 | ga.Problem = problem;
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| 65 | SamplesUtils.ConfigureOsGeneticAlgorithmParameters<GenderSpecificSelector, Encodings.IntegerVectorEncoding.SinglePointCrossover, Encodings.IntegerVectorEncoding.UniformOnePositionManipulator>(
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| 66 | ga, 200, 1, 50, 0.05, 200);
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| 67 | #endregion
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[11514] | 68 |
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[11450] | 69 | return ga;
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| 70 | }
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| 71 | #endregion
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| 72 |
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| 73 | #region symbolic regression
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[11514] | 74 | private const string GeSymbolicRegressionSampleFileName = "GE_SymbReg";
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| 75 |
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[11450] | 76 | [TestMethod]
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| 77 | [TestCategory("Samples.Create")]
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| 78 | [TestProperty("Time", "medium")]
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| 79 | public void CreateGeSymbolicRegressionSampleTest() {
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| 80 | var geSymbReg = CreateGeSymbolicRegressionSample();
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[11514] | 81 | string path = Path.Combine(SamplesUtils.SamplesDirectory, GeSymbolicRegressionSampleFileName + SamplesUtils.SampleFileExtension);
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| 82 | XmlGenerator.Serialize(geSymbReg, path);
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[11450] | 83 | }
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| 84 |
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| 85 | [TestMethod]
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| 86 | [TestCategory("Samples.Execute")]
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| 87 | [TestProperty("Time", "long")]
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| 88 | public void RunGeSymbolicRegressionSampleTest() {
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| 89 | var ga = CreateGeSymbolicRegressionSample();
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| 90 | ga.SetSeedRandomly.Value = false;
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| 91 | SamplesUtils.RunAlgorithm(ga);
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| 92 | }
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| 93 |
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| 94 | public OffspringSelectionGeneticAlgorithm CreateGeSymbolicRegressionSample() {
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| 95 | var ga = new OffspringSelectionGeneticAlgorithm();
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[11514] | 96 |
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[11450] | 97 | #region Problem Configuration
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| 98 | var problem = new HeuristicLab.Problems.GrammaticalEvolution.GESymbolicRegressionSingleObjectiveProblem();
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| 99 |
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| 100 | #endregion
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| 101 | #region Algorithm Configuration
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| 102 | ga.Name = "Grammatical Evolution - Symbolic Regression (Poly-10)";
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| 103 | ga.Description = "Grammatical evolution algorithm for solving a symbolic regression problem problem";
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| 104 | ga.Problem = problem;
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| 105 | problem.Load(new PolyTen().GenerateRegressionData());
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| 106 |
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| 107 | // must occur after loading problem data because the grammar creates symbols for random constants once the data is loaded
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| 108 | var consts = problem.SymbolicExpressionTreeGrammar.AllowedSymbols.OfType<Constant>().ToList();
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| 109 | foreach (var c in consts) {
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| 110 | problem.SymbolicExpressionTreeGrammar.RemoveSymbol(c);
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| 111 | }
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| 112 |
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| 113 | SamplesUtils.ConfigureOsGeneticAlgorithmParameters<GenderSpecificSelector, Encodings.IntegerVectorEncoding.SinglePointCrossover, Encodings.IntegerVectorEncoding.UniformOnePositionManipulator>(
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| 114 | ga, 1000, 1, 50, 0.05, 200);
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| 115 | #endregion
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[11514] | 116 |
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[11450] | 117 | return ga;
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| 118 | }
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[11514] | 119 | #endregion
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[11450] | 120 | }
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| 121 | }
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