[13237] | 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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[13237] | 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 HeuristicLab.Algorithms.EvolutionStrategy;
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| 24 | using HeuristicLab.Algorithms.OffspringSelectionEvolutionStrategy;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Encodings.RealVectorEncoding;
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| 27 | using HeuristicLab.Persistence.Default.Xml;
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| 28 | using HeuristicLab.Problems.TestFunctions;
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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 OSESGriewankSampleTest {
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| 34 | private const string SampleFileName = "OSES_Griewank";
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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 CreateOSESGriewankSampleTest() {
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| 40 | var es = CreateOSESGriewankSample();
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| 41 | string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
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| 42 | XmlGenerator.Serialize(es, 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 RunOSESGriewankSampleTest() {
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| 49 | var es = CreateOSESGriewankSample();
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| 50 | es.SetSeedRandomly.Value = false;
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| 51 | SamplesUtils.RunAlgorithm(es);
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| 52 | Assert.AreEqual(1.80366417E-07, SamplesUtils.GetDoubleResult(es, "BestQuality"), 1.0E-15);
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| 53 | Assert.AreEqual(4.84418627E-07, SamplesUtils.GetDoubleResult(es, "CurrentAverageQuality"), 1.0E-15);
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| 54 | Assert.AreEqual(9.20629802E-07, SamplesUtils.GetDoubleResult(es, "CurrentWorstQuality"), 1.0E-15);
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| 55 | Assert.AreEqual(39750, SamplesUtils.GetIntResult(es, "EvaluatedSolutions"));
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| 56 | }
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| 57 |
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| 58 | private OffspringSelectionEvolutionStrategy CreateOSESGriewankSample() {
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| 59 | OffspringSelectionEvolutionStrategy es = new OffspringSelectionEvolutionStrategy();
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| 60 |
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| 61 | #region Problem Configuration
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| 62 |
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| 63 | SingleObjectiveTestFunctionProblem problem = new SingleObjectiveTestFunctionProblem();
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| 64 |
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| 65 | problem.ProblemSize.Value = 10;
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| 66 | problem.EvaluatorParameter.Value = new GriewankEvaluator();
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| 67 | problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
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| 68 | problem.Maximization.Value = false;
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| 69 | problem.Bounds = new DoubleMatrix(new double[,] { { -600, 600 } });
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| 70 | problem.BestKnownQuality.Value = 0;
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| 71 | problem.BestKnownSolutionParameter.Value = new RealVector(10);
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| 72 | problem.Name = "Single Objective Test Function";
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| 73 | problem.Description = "Test function with real valued inputs and a single objective.";
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| 74 |
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| 75 | #endregion
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| 76 |
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| 77 | #region Algorithm Configuration
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| 78 |
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| 79 | es.Name = "Offspring Selection Evolution Strategy - Griewank";
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| 80 | es.Description = "An evolution strategy with offspring selection which solves the 10-dimensional Griewank test function";
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| 81 | es.Problem = problem;
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| 82 | SamplesUtils.ConfigureOffspringSelectionEvolutionStrategyParameters<AverageCrossover, NormalAllPositionsManipulator,
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| 83 | StdDevStrategyVectorCreator, StdDevStrategyVectorCrossover, StdDevStrategyVectorManipulator>(es, 50, 1.0, 0.5, 100, 2, 100, false);
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| 84 |
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| 85 | StdDevStrategyVectorCreator strategyCreator = (StdDevStrategyVectorCreator)es.StrategyParameterCreator;
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| 86 | strategyCreator.BoundsParameter.Value = new DoubleMatrix(new double[,] { { 1, 20 } });
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| 87 |
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| 88 | StdDevStrategyVectorManipulator strategyManipulator =
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| 89 | (StdDevStrategyVectorManipulator)es.StrategyParameterManipulator;
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| 90 | strategyManipulator.BoundsParameter.Value = new DoubleMatrix(new double[,] { { 1E-12, 30 } });
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| 91 | strategyManipulator.GeneralLearningRateParameter.Value = new DoubleValue(0.22360679774997896);
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| 92 | strategyManipulator.LearningRateParameter.Value = new DoubleValue(0.39763536438352531);
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| 93 |
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| 94 | #endregion
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| 95 |
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| 96 | return es;
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| 97 | }
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| 98 | }
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| 99 | }
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