[11450] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[16140] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[11450] | 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
| 21 |
|
---|
| 22 | using System.IO;
|
---|
| 23 | using System.Linq;
|
---|
| 24 | using HeuristicLab.Algorithms.SimulatedAnnealing;
|
---|
| 25 | using HeuristicLab.Data;
|
---|
| 26 | using HeuristicLab.Encodings.RealVectorEncoding;
|
---|
| 27 | using HeuristicLab.Optimization.Operators;
|
---|
| 28 | using HeuristicLab.Persistence.Default.Xml;
|
---|
| 29 | using HeuristicLab.Problems.TestFunctions;
|
---|
| 30 | using Microsoft.VisualStudio.TestTools.UnitTesting;
|
---|
| 31 |
|
---|
| 32 | namespace HeuristicLab.Tests {
|
---|
| 33 | [TestClass]
|
---|
| 34 | public class SimulatedAnnealingRastriginSampleTest {
|
---|
[11514] | 35 | private const string SampleFileName = "SA_Rastrigin";
|
---|
[11450] | 36 |
|
---|
| 37 | [TestMethod]
|
---|
| 38 | [TestCategory("Samples.Create")]
|
---|
| 39 | [TestProperty("Time", "medium")]
|
---|
| 40 | public void CreateSimulatedAnnealingRastriginSampleTest() {
|
---|
| 41 | var sa = CreateSimulatedAnnealingRastriginSample();
|
---|
[11514] | 42 | string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
|
---|
| 43 | XmlGenerator.Serialize(sa, path);
|
---|
[11450] | 44 | }
|
---|
| 45 | [TestMethod]
|
---|
| 46 | [TestCategory("Samples.Execute")]
|
---|
| 47 | [TestProperty("Time", "medium")]
|
---|
| 48 | public void RunSimulatedAnnealingRastriginSampleTest() {
|
---|
| 49 | var sa = CreateSimulatedAnnealingRastriginSample();
|
---|
| 50 | sa.SetSeedRandomly.Value = false;
|
---|
| 51 | SamplesUtils.RunAlgorithm(sa);
|
---|
| 52 | Assert.AreEqual(0.00014039606034543795, SamplesUtils.GetDoubleResult(sa, "BestQuality"));
|
---|
| 53 | Assert.AreEqual(5000, SamplesUtils.GetIntResult(sa, "EvaluatedMoves"));
|
---|
| 54 | }
|
---|
| 55 | private SimulatedAnnealing CreateSimulatedAnnealingRastriginSample() {
|
---|
| 56 | SimulatedAnnealing sa = new SimulatedAnnealing();
|
---|
| 57 | #region Problem Configuration
|
---|
| 58 | var problem = new SingleObjectiveTestFunctionProblem();
|
---|
| 59 | problem.BestKnownQuality.Value = 0.0;
|
---|
| 60 | problem.BestKnownSolutionParameter.Value = new RealVector(new double[] { 0, 0 });
|
---|
| 61 | problem.Bounds = new DoubleMatrix(new double[,] { { -5.12, 5.12 } });
|
---|
| 62 | problem.EvaluatorParameter.Value = new RastriginEvaluator();
|
---|
| 63 | problem.Maximization.Value = false;
|
---|
| 64 | problem.ProblemSize.Value = 2;
|
---|
| 65 | problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
|
---|
| 66 | #endregion
|
---|
| 67 | #region Algorithm Configuration
|
---|
| 68 | sa.Name = "Simulated Annealing - Rastrigin";
|
---|
| 69 | sa.Description = "A simulated annealing algorithm that solves the 2-dimensional Rastrigin test function";
|
---|
| 70 | sa.Problem = problem;
|
---|
| 71 | var annealingOperator = sa.AnnealingOperatorParameter.ValidValues
|
---|
| 72 | .OfType<ExponentialDiscreteDoubleValueModifier>()
|
---|
| 73 | .Single();
|
---|
| 74 | annealingOperator.StartIndexParameter.Value = new IntValue(0);
|
---|
| 75 | sa.AnnealingOperator = annealingOperator;
|
---|
| 76 |
|
---|
| 77 | sa.EndTemperature.Value = 1E-6;
|
---|
| 78 | sa.InnerIterations.Value = 50;
|
---|
| 79 | sa.MaximumIterations.Value = 100;
|
---|
| 80 | var moveEvaluator = sa.MoveEvaluatorParameter.ValidValues
|
---|
| 81 | .OfType<RastriginAdditiveMoveEvaluator>()
|
---|
| 82 | .Single();
|
---|
| 83 | moveEvaluator.A.Value = 10;
|
---|
| 84 | sa.MoveEvaluator = moveEvaluator;
|
---|
| 85 |
|
---|
| 86 | var moveGenerator = sa.MoveGeneratorParameter.ValidValues
|
---|
| 87 | .OfType<StochasticNormalMultiMoveGenerator>()
|
---|
| 88 | .Single();
|
---|
| 89 | moveGenerator.SigmaParameter.Value = new DoubleValue(1);
|
---|
| 90 | sa.MoveGenerator = moveGenerator;
|
---|
| 91 |
|
---|
| 92 | sa.MoveMaker = sa.MoveMakerParameter.ValidValues
|
---|
| 93 | .OfType<AdditiveMoveMaker>()
|
---|
| 94 | .Single();
|
---|
| 95 |
|
---|
| 96 | sa.Seed.Value = 0;
|
---|
| 97 | sa.SetSeedRandomly.Value = true;
|
---|
| 98 | sa.StartTemperature.Value = 1;
|
---|
| 99 | #endregion
|
---|
| 100 | sa.Engine = new ParallelEngine.ParallelEngine();
|
---|
| 101 | return sa;
|
---|
| 102 | }
|
---|
| 103 | }
|
---|
| 104 | }
|
---|