| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2019 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.GeneticProgramming.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 | Problem antProblem = new Problem();
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| 63 | antProblem.BestKnownQuality = 89;
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| 64 | antProblem.Encoding.TreeDepth = 10;
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| 65 | antProblem.Encoding.TreeLength = 100;
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| 66 | antProblem.Encoding.FunctionDefinitions = 3;
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| 67 | antProblem.Encoding.FunctionArguments = 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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