[11450] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16565] | 3 | * Copyright (C) 2002-2019 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.SimulatedAnnealing;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Encodings.RealVectorEncoding;
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| 27 | using HeuristicLab.Optimization.Operators;
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| 28 | using HeuristicLab.Persistence.Default.Xml;
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| 29 | using HeuristicLab.Problems.TestFunctions;
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| 30 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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| 31 |
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| 32 | namespace HeuristicLab.Tests {
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| 33 | [TestClass]
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| 34 | public class SimulatedAnnealingRastriginSampleTest {
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[11514] | 35 | private const string SampleFileName = "SA_Rastrigin";
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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 CreateSimulatedAnnealingRastriginSampleTest() {
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| 41 | var sa = CreateSimulatedAnnealingRastriginSample();
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[11514] | 42 | string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
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| 43 | XmlGenerator.Serialize(sa, path);
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[11450] | 44 | }
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| 45 | [TestMethod]
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| 46 | [TestCategory("Samples.Execute")]
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| 47 | [TestProperty("Time", "medium")]
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| 48 | public void RunSimulatedAnnealingRastriginSampleTest() {
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| 49 | var sa = CreateSimulatedAnnealingRastriginSample();
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| 50 | sa.SetSeedRandomly.Value = false;
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| 51 | SamplesUtils.RunAlgorithm(sa);
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| 52 | Assert.AreEqual(0.00014039606034543795, SamplesUtils.GetDoubleResult(sa, "BestQuality"));
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| 53 | Assert.AreEqual(5000, SamplesUtils.GetIntResult(sa, "EvaluatedMoves"));
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| 54 | }
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| 55 | private SimulatedAnnealing CreateSimulatedAnnealingRastriginSample() {
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| 56 | SimulatedAnnealing sa = new SimulatedAnnealing();
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| 57 | #region Problem Configuration
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| 58 | var problem = new SingleObjectiveTestFunctionProblem();
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| 59 | problem.BestKnownQuality.Value = 0.0;
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| 60 | problem.BestKnownSolutionParameter.Value = new RealVector(new double[] { 0, 0 });
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| 61 | problem.Bounds = new DoubleMatrix(new double[,] { { -5.12, 5.12 } });
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| 62 | problem.EvaluatorParameter.Value = new RastriginEvaluator();
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| 63 | problem.Maximization.Value = false;
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| 64 | problem.ProblemSize.Value = 2;
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| 65 | problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
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| 66 | #endregion
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| 67 | #region Algorithm Configuration
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| 68 | sa.Name = "Simulated Annealing - Rastrigin";
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| 69 | sa.Description = "A simulated annealing algorithm that solves the 2-dimensional Rastrigin test function";
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| 70 | sa.Problem = problem;
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| 71 | var annealingOperator = sa.AnnealingOperatorParameter.ValidValues
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| 72 | .OfType<ExponentialDiscreteDoubleValueModifier>()
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| 73 | .Single();
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| 74 | annealingOperator.StartIndexParameter.Value = new IntValue(0);
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| 75 | sa.AnnealingOperator = annealingOperator;
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| 76 |
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| 77 | sa.EndTemperature.Value = 1E-6;
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| 78 | sa.InnerIterations.Value = 50;
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| 79 | sa.MaximumIterations.Value = 100;
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| 80 | var moveEvaluator = sa.MoveEvaluatorParameter.ValidValues
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| 81 | .OfType<RastriginAdditiveMoveEvaluator>()
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| 82 | .Single();
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| 83 | moveEvaluator.A.Value = 10;
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| 84 | sa.MoveEvaluator = moveEvaluator;
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| 85 |
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| 86 | var moveGenerator = sa.MoveGeneratorParameter.ValidValues
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| 87 | .OfType<StochasticNormalMultiMoveGenerator>()
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| 88 | .Single();
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| 89 | moveGenerator.SigmaParameter.Value = new DoubleValue(1);
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| 90 | sa.MoveGenerator = moveGenerator;
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| 91 |
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| 92 | sa.MoveMaker = sa.MoveMakerParameter.ValidValues
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| 93 | .OfType<AdditiveMoveMaker>()
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| 94 | .Single();
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| 95 |
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| 96 | sa.Seed.Value = 0;
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| 97 | sa.SetSeedRandomly.Value = true;
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| 98 | sa.StartTemperature.Value = 1;
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| 99 | #endregion
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| 100 | sa.Engine = new ParallelEngine.ParallelEngine();
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| 101 | return sa;
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| 102 | }
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| 103 | }
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| 104 | }
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