[8396] | 1 |
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| 2 | #region License Information
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| 3 | /* HeuristicLab
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| 4 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 5 | *
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| 6 | * This file is part of HeuristicLab.
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| 7 | *
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| 8 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 9 | * it under the terms of the GNU General Public License as published by
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| 10 | * the Free Software Foundation, either version 3 of the License, or
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| 11 | * (at your option) any later version.
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| 12 | *
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| 13 | * HeuristicLab is distributed in the hope that it will be useful,
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | * GNU General Public License for more details.
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| 17 | *
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| 18 | * You should have received a copy of the GNU General Public License
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| 19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 20 | */
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| 21 | #endregion
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| 22 |
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| 23 | using System;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Data;
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| 27 | using HeuristicLab.Operators;
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| 28 | using HeuristicLab.Optimization;
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| 29 | using HeuristicLab.Parameters;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 | using HeuristicLab.Problems.TestFunctions;
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| 32 | using HeuristicLab.Random;
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| 33 |
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[8401] | 34 | namespace HeuristicLab.Algorithms.GradientDescent {
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[8396] | 35 | /// <summary>
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| 36 | /// Limited-Memory BFGS optimization algorithm.
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| 37 | /// </summary>
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| 38 | [Item("LM-BFGS", "The limited-memory BFGS (BroydenFletcherGoldfarbShanno) optimization algorithm.")]
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| 39 | [Creatable("Algorithms")]
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| 40 | [StorableClass]
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| 41 | public sealed class LbfgsAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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| 42 | public override Type ProblemType {
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| 43 | get { return typeof(SingleObjectiveTestFunctionProblem); }
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| 44 | }
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| 45 |
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| 46 | public new SingleObjectiveTestFunctionProblem Problem {
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| 47 | get { return (SingleObjectiveTestFunctionProblem)base.Problem; }
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| 48 | set { base.Problem = value; }
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| 49 | }
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| 50 |
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| 51 | public string Filename { get; set; }
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| 52 |
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| 53 | private const string MaxIterationsParameterName = "MaxIterations";
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| 54 | private const string ApproximateGradientsParameterName = "ApproximateGradients";
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[8397] | 55 | private const string SeedParameterName = "Seed";
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| 56 | private const string SetSeedRandomlyParameterName = "SetSeedRandomly";
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[8396] | 57 |
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| 58 | #region parameter properties
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| 59 | public IValueParameter<IntValue> MaxIterationsParameter {
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| 60 | get { return (IValueParameter<IntValue>)Parameters[MaxIterationsParameterName]; }
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| 61 | }
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[8397] | 62 | public IValueParameter<IntValue> SeedParameter {
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| 63 | get { return (IValueParameter<IntValue>)Parameters[SeedParameterName]; }
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| 64 | }
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| 65 | public IValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 66 | get { return (IValueParameter<BoolValue>)Parameters[SetSeedRandomlyParameterName]; }
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| 67 | }
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[8396] | 68 | #endregion
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| 69 | #region properties
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| 70 | public int MaxIterations {
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| 71 | set { MaxIterationsParameter.Value.Value = value; }
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| 72 | get { return MaxIterationsParameter.Value.Value; }
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| 73 | }
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[8397] | 74 | public int Seed { get { return SeedParameter.Value.Value; } set { SeedParameter.Value.Value = value; } }
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| 75 | public bool SetSeedRandomly { get { return SetSeedRandomlyParameter.Value.Value; } set { SetSeedRandomlyParameter.Value.Value = value; } }
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[8396] | 76 | #endregion
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[8397] | 77 |
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[8396] | 78 | [StorableConstructor]
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| 79 | private LbfgsAlgorithm(bool deserializing) : base(deserializing) { }
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| 80 | private LbfgsAlgorithm(LbfgsAlgorithm original, Cloner cloner)
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| 81 | : base(original, cloner) {
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| 82 | }
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| 83 | public LbfgsAlgorithm()
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| 84 | : base() {
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| 85 | this.name = ItemName;
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| 86 | this.description = ItemDescription;
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| 87 |
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| 88 | Problem = new SingleObjectiveTestFunctionProblem();
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| 89 |
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| 90 | Parameters.Add(new ValueParameter<IntValue>(MaxIterationsParameterName, "The maximal number of iterations for.", new IntValue(20)));
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[8397] | 91 | Parameters.Add(new ValueParameter<IntValue>(SeedParameterName, "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
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| 92 | Parameters.Add(new ValueParameter<BoolValue>(SetSeedRandomlyParameterName, "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
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[8396] | 93 | Parameters.Add(new ValueParameter<BoolValue>(ApproximateGradientsParameterName, "Indicates that gradients should be approximated.", new BoolValue(true)));
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| 94 | Parameters[ApproximateGradientsParameterName].Hidden = true; // should not be changed
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| 95 |
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| 96 | var randomCreator = new RandomCreator();
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| 97 | var solutionCreator = new Placeholder();
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| 98 | var bfgsInitializer = new LbfgsInitializer();
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| 99 | var makeStep = new LbfgsMakeStep();
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| 100 | var branch = new ConditionalBranch();
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| 101 | var evaluator = new Placeholder();
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| 102 | var updateResults = new LbfgsUpdateResults();
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| 103 | var analyzer = new LbfgsAnalyzer();
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| 104 | var finalAnalyzer = new LbfgsAnalyzer();
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| 105 |
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| 106 | OperatorGraph.InitialOperator = randomCreator;
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| 107 |
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[8397] | 108 | randomCreator.SeedParameter.ActualName = SeedParameterName;
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| 109 | randomCreator.SeedParameter.Value = null;
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| 110 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameterName;
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| 111 | randomCreator.SetSeedRandomlyParameter.Value = null;
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[8396] | 112 | randomCreator.Successor = solutionCreator;
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| 113 |
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| 114 | solutionCreator.OperatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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| 115 | solutionCreator.Successor = bfgsInitializer;
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| 116 |
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| 117 | bfgsInitializer.IterationsParameter.ActualName = MaxIterationsParameterName;
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| 118 | bfgsInitializer.PointParameter.ActualName = Problem.SolutionCreator.RealVectorParameter.ActualName;
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| 119 | bfgsInitializer.ApproximateGradientsParameter.ActualName = ApproximateGradientsParameterName;
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| 120 | bfgsInitializer.Successor = makeStep;
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| 121 |
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| 122 | makeStep.StateParameter.ActualName = bfgsInitializer.StateParameter.Name;
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| 123 | makeStep.PointParameter.ActualName = bfgsInitializer.PointParameter.ActualName;
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| 124 | makeStep.Successor = branch;
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| 125 |
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| 126 | branch.ConditionParameter.ActualName = makeStep.TerminationCriterionParameter.Name;
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| 127 | branch.FalseBranch = evaluator;
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| 128 | branch.TrueBranch = finalAnalyzer;
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| 129 |
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| 130 | evaluator.OperatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 131 | evaluator.Successor = updateResults;
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| 132 |
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| 133 | updateResults.StateParameter.ActualName = bfgsInitializer.StateParameter.Name;
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| 134 | updateResults.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.Name;
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| 135 | updateResults.ApproximateGradientsParameter.ActualName = ApproximateGradientsParameterName;
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| 136 | updateResults.Successor = analyzer;
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| 137 |
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| 138 | analyzer.QualityParameter.ActualName = updateResults.QualityParameter.ActualName;
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| 139 | analyzer.PointParameter.ActualName = makeStep.PointParameter.ActualName;
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| 140 | analyzer.StateParameter.ActualName = bfgsInitializer.StateParameter.Name;
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| 141 | analyzer.Successor = makeStep;
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| 142 |
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| 143 | finalAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.Name;
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| 144 | finalAnalyzer.PointParameter.ActualName = makeStep.PointParameter.ActualName;
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| 145 | finalAnalyzer.PointsTableParameter.ActualName = analyzer.PointsTableParameter.ActualName;
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| 146 | finalAnalyzer.QualityGradientsTableParameter.ActualName = analyzer.QualityGradientsTableParameter.ActualName;
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| 147 | finalAnalyzer.QualitiesTableParameter.ActualName = analyzer.QualitiesTableParameter.ActualName;
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| 148 | }
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| 149 |
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| 150 | [StorableHook(HookType.AfterDeserialization)]
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| 151 | private void AfterDeserialization() { }
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| 152 |
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| 153 | public override IDeepCloneable Clone(Cloner cloner) {
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| 154 | return new LbfgsAlgorithm(this, cloner);
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| 155 | }
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| 156 | }
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| 157 | }
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