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source: branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/MetaOptimizationProblem.cs @ 5522

Last change on this file since 5522 was 5522, checked in by cneumuel, 13 years ago

#1215

  • implemented population diversity analysis
File size: 14.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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
22using System;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Optimization;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30using HeuristicLab.PluginInfrastructure;
31using HeuristicLab.Algorithms.GeneticAlgorithm;
32using HeuristicLab.Problems.TestFunctions;
33
34namespace HeuristicLab.Problems.MetaOptimization {
35  [Item("Meta Optimization Problem", "Represents a Meta Optimization Problem.")]
36  [Creatable("Problems")]
37  [StorableClass]
38  public sealed class MetaOptimizationProblem : SingleObjectiveProblem<IParameterConfigurationEvaluator, IParameterConfigurationCreator> {
39    public const string AlgorithmTypeParameterName = "AlgorithmType";
40    public const string ProblemTypeParameterName = "ProblemType";
41    public const string ProblemsParameterName = "Problems";
42    public const string ParameterConfigurationTreeParameterName = "ParameterConfiguration";
43    public const string RepetitionsParameterName = "Repetitions";
44
45    public const string IntValueManipulatorParameterName = "IntValueManipulator";
46    public const string DoubleValueManipulatorParameterName = "DoubleValueManipulator";
47    public const string IntValueCrossoverParameterName = "IntValueCrossover";
48    public const string DoubleValueCrossoverParameterName = "DoubleValueCrossover";
49
50    #region Parameter Properties
51    public IValueParameter<ConstrainedTypeValue<IAlgorithm>> AlgorithmTypeParameter {
52      get { return (ValueParameter<ConstrainedTypeValue<IAlgorithm>>)Parameters[AlgorithmTypeParameterName]; }
53    }
54    public IValueParameter<ConstrainedTypeValue<IProblem>> ProblemTypeParameter {
55      get { return (ValueParameter<ConstrainedTypeValue<IProblem>>)Parameters[ProblemTypeParameterName]; }
56    }
57    public IValueParameter<ConstrainedItemList<IProblem>> ProblemsParameter {
58      get { return (ValueParameter<ConstrainedItemList<IProblem>>)Parameters[ProblemsParameterName]; }
59    }
60    public IValueParameter<ParameterConfigurationTree> ParameterConfigurationTreeParameter {
61      get { return (ValueParameter<ParameterConfigurationTree>)Parameters[ParameterConfigurationTreeParameterName]; }
62    }
63    public IValueParameter<IntValue> RepetitionsParameter {
64      get { return (ValueParameter<IntValue>)Parameters[RepetitionsParameterName]; }
65    }
66
67    public IValueParameter<IIntValueManipulator> IntValueManipulatorParameter {
68      get { return (ValueParameter<IIntValueManipulator>)Parameters[IntValueManipulatorParameterName]; }
69    }
70
71    public IValueParameter<IDoubleValueManipulator> DoubleValueManipulatorParameter {
72      get { return (ValueParameter<IDoubleValueManipulator>)Parameters[DoubleValueManipulatorParameterName]; }
73    }
74    #endregion
75
76    #region Properties
77    public IAlgorithm Algorithm {
78      get { return CreateAlgorithm(AlgorithmType.Value, ProblemType.Value); }
79    }
80    public ConstrainedTypeValue<IAlgorithm> AlgorithmType {
81      get { return AlgorithmTypeParameter.Value; }
82      set { AlgorithmTypeParameter.Value = value; }
83    }
84    public ConstrainedTypeValue<IProblem> ProblemType {
85      get { return ProblemTypeParameter.Value; }
86      set { ProblemTypeParameter.Value = value; }
87    }
88    public ConstrainedItemList<IProblem> Problems {
89      get { return ProblemsParameter.Value; }
90      set { ProblemsParameter.Value = value; }
91    }
92    public ParameterConfigurationTree ParameterConfigurationTree {
93      get { return ParameterConfigurationTreeParameter.Value; }
94      set { ParameterConfigurationTreeParameter.Value = value; }
95    }
96    public IntValue Repetitions {
97      get { return RepetitionsParameter.Value; }
98      set { RepetitionsParameter.Value = value; }
99    }
100    private BestParameterConfigurationAnalyzer BestParameterConfigurationAnalyzer {
101      get { return Operators.OfType<BestParameterConfigurationAnalyzer>().FirstOrDefault(); }
102    }
103    private ReferenceQualityAnalyzer ReferenceQualityAnalyzer {
104      get { return Operators.OfType<ReferenceQualityAnalyzer>().FirstOrDefault(); }
105    }
106    private SolutionCacheAnalyzer RunsAnalyzer {
107      get { return Operators.OfType<SolutionCacheAnalyzer>().FirstOrDefault(); }
108    }
109    private PMOPopulationDiversityAnalyzer PMOPopulationDiversityAnalyzer {
110      get { return Operators.OfType<PMOPopulationDiversityAnalyzer>().FirstOrDefault(); }
111    }   
112    #endregion
113
114    public MetaOptimizationProblem()
115      : base() {
116      Parameters.Add(new ValueParameter<ConstrainedTypeValue<IAlgorithm>>(AlgorithmTypeParameterName, "The algorithm which's parameters should be optimized.", new ConstrainedTypeValue<IAlgorithm>(typeof(GeneticAlgorithm))));
117      Parameters.Add(new ValueParameter<ConstrainedTypeValue<IProblem>>(ProblemTypeParameterName, "The problem type.", new ConstrainedTypeValue<IProblem>()));
118      Parameters.Add(new ValueParameter<ConstrainedItemList<IProblem>>(ProblemsParameterName, "The problems that should be evaluated.", new ConstrainedItemList<IProblem>()));
119      Parameters.Add(new ValueParameter<ParameterConfigurationTree>(ParameterConfigurationTreeParameterName, "Tree of algorithm parameters that should be optimized."));
120      Parameters.Add(new ValueParameter<IntValue>(RepetitionsParameterName, "The number of evaluations for each problem.", new IntValue(3)));
121
122      var validIntManipulators = new ItemSet<IIntValueManipulator>(ApplicationManager.Manager.GetInstances<IIntValueManipulator>());
123      var validDoubleManipulators = new ItemSet<IDoubleValueManipulator>(ApplicationManager.Manager.GetInstances<IDoubleValueManipulator>());
124      var validIntCrossovers = new ItemSet<IIntValueCrossover>(ApplicationManager.Manager.GetInstances<IIntValueCrossover>());
125      var validDoubleCrossovers = new ItemSet<IDoubleValueCrossover>(ApplicationManager.Manager.GetInstances<IDoubleValueCrossover>());
126      Parameters.Add(new ConstrainedValueParameter<IIntValueManipulator>(IntValueManipulatorParameterName, "", validIntManipulators, validIntManipulators.Where(x => x.GetType() == typeof(NormalIntValueManipulator)).SingleOrDefault()));
127      Parameters.Add(new ConstrainedValueParameter<IDoubleValueManipulator>(DoubleValueManipulatorParameterName, "", validDoubleManipulators, validDoubleManipulators.Where(x => x.GetType() == typeof(NormalDoubleValueManipulator)).SingleOrDefault()));
128      Parameters.Add(new ConstrainedValueParameter<IIntValueCrossover>(IntValueCrossoverParameterName, "", validIntCrossovers, validIntCrossovers.Where(x => x.GetType() == typeof(NormalIntValueCrossover)).SingleOrDefault()));
129      Parameters.Add(new ConstrainedValueParameter<IDoubleValueCrossover>(DoubleValueCrossoverParameterName, "", validDoubleCrossovers, validDoubleCrossovers.Where(x => x.GetType() == typeof(NormalDoubleValueCrossover)).SingleOrDefault()));
130
131      Maximization = new BoolValue(false);
132      SolutionCreator = new RandomParameterConfigurationCreator();
133      Evaluator = new ParameterConfigurationEvaluator();
134
135      InitializeOperators();
136      RegisterParameterEvents();
137      ParameterizeAnalyzer();
138      ParameterizeSolutionCreator();
139      ParameterizeEvaluator();
140      ParameterizeOperators();
141
142      AlgorithmTypeParameter_ValueChanged(this, EventArgs.Empty);
143    }
144
145    [StorableConstructor]
146    private MetaOptimizationProblem(bool deserializing) : base(deserializing) { }
147    private MetaOptimizationProblem(MetaOptimizationProblem original, Cloner cloner)
148      : base(original, cloner) {
149      this.RegisterParameterEvents();
150    }
151    public override IDeepCloneable Clone(Cloner cloner) {
152      return new MetaOptimizationProblem(this, cloner);
153    }
154
155    #region Helpers
156    [StorableHook(HookType.AfterDeserialization)]
157    private void AfterDeserializationHook() {
158      RegisterParameterEvents();
159    }
160    private void RegisterParameterEvents() {
161      SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
162      EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
163      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
164      AlgorithmTypeParameter.ValueChanged += new EventHandler(AlgorithmTypeParameter_ValueChanged);
165      AlgorithmType.ValueChanged += new EventHandler(AlgorithmType_ValueChanged);
166      ProblemTypeParameter.ValueChanged += new EventHandler(ProblemTypeParameter_ValueChanged);
167      ProblemType.ValueChanged += new EventHandler(ProblemType_ValueChanged);
168    }
169
170    private void InitializeOperators() {
171      Operators.AddRange(ApplicationManager.Manager.GetInstances<IParameterConfigurationOperator>().Cast<IOperator>());
172      Operators.Add(new BestParameterConfigurationAnalyzer());
173      Operators.Add(new ReferenceQualityAnalyzer());
174      Operators.Add(new SolutionCacheAnalyzer());
175      Operators.Add(new PMOPopulationDiversityAnalyzer());
176    }
177    private void ParameterizeSolutionCreator() {
178    }
179    private void ParameterizeEvaluator() {
180      ((ParameterConfigurationEvaluator)Evaluator).ParameterConfigurationParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
181    }
182    private void ParameterizeAnalyzer() {
183      if (BestParameterConfigurationAnalyzer != null) {
184        BestParameterConfigurationAnalyzer.ParameterConfigurationParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
185      }
186      if (ReferenceQualityAnalyzer != null) {
187        ReferenceQualityAnalyzer.ParameterConfigurationParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
188      }
189      if (RunsAnalyzer != null) {
190        RunsAnalyzer.ParameterConfigurationParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
191      }
192      if (PMOPopulationDiversityAnalyzer != null) {
193        PMOPopulationDiversityAnalyzer.SolutionParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
194        PMOPopulationDiversityAnalyzer.StoreHistoryParameter.Value.Value = true;
195      }
196    }
197    private void ParameterizeOperators() {
198      foreach (IParameterConfigurationCrossover op in Operators.OfType<IParameterConfigurationCrossover>()) {
199        op.ParentsParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
200        op.ChildParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
201      }
202      foreach (IParameterConfigurationManipulator op in Operators.OfType<IParameterConfigurationManipulator>()) {
203        op.ParameterConfigurationTreeParameter.ActualName = ((RandomParameterConfigurationCreator)SolutionCreator).ParameterConfigurationParameter.ActualName;
204      }
205    }
206
207    #endregion
208
209    #region Events
210
211    private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
212      ParameterizeSolutionCreator();
213      ParameterizeEvaluator();
214      ParameterizeAnalyzer();
215      ParameterizeOperators();
216      OnSolutionCreatorChanged();
217    }
218    private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
219      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
220      ParameterizeEvaluator();
221      ParameterizeAnalyzer();
222      OnEvaluatorChanged();
223    }
224    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
225      ParameterizeAnalyzer();
226    }
227    private void AlgorithmTypeParameter_ValueChanged(object sender, EventArgs e) {
228      AlgorithmType_ValueChanged(sender, e);
229    }
230
231    private void AlgorithmType_ValueChanged(object sender, EventArgs e) {
232      IAlgorithm instance = (IAlgorithm)Activator.CreateInstance(AlgorithmType.Value);
233      this.ProblemType.ValidTypes = ApplicationManager.Manager.GetTypes(instance.ProblemType, true).ToList();
234      this.ProblemType.Value = this.ProblemType.ValidTypes.Where(t => t != typeof(MetaOptimizationProblem)).FirstOrDefault();
235      if (ProblemType.Value != null) {
236        ParameterConfigurationTreeParameter.ActualValue = new ParameterConfigurationTree(CreateAlgorithm(AlgorithmType.Value, ProblemType.Value));
237      } else {
238        ParameterConfigurationTreeParameter.ActualValue = null;
239      }
240    }
241
242    private void ProblemTypeParameter_ValueChanged(object sender, EventArgs e) {
243      ProblemType_ValueChanged(sender, e);
244    }
245
246    private void ProblemType_ValueChanged(object sender, EventArgs e) {
247      Problems.Clear();
248      Problems.Type = ProblemType.Value;
249      ParameterConfigurationTreeParameter.ActualValue = new ParameterConfigurationTree(CreateAlgorithm(AlgorithmType.Value, ProblemType.Value));
250    }
251    #endregion
252
253    private IAlgorithm CreateAlgorithm(Type algorithmType, Type problemType) {
254      IAlgorithm algorithm = (IAlgorithm)Activator.CreateInstance(algorithmType);
255      algorithm.Problem = (IProblem)Activator.CreateInstance(problemType);
256      return algorithm;
257    }
258
259    public void ImportAlgorithm(IAlgorithm algorithm) {
260      AlgorithmType.Value = algorithm.GetType();
261      if (algorithm.Problem != null) ProblemType.Value = algorithm.Problem.GetType();
262      ParameterConfigurationTreeParameter.ActualValue = new ParameterConfigurationTree(algorithm);
263      if (algorithm.Problem != null) Problems.Add((IProblem)algorithm.Problem);
264    }
265  }
266}
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