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source: trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/SingleObjectiveTestFunctionProblem.cs @ 3817

Last change on this file since 3817 was 3797, checked in by mkommend, 14 years ago

corrected namespaces and removed resources files in HL 3.3 solution (ticket #893)
File size: 19.8 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.Collections.Generic;
24using System.Collections.ObjectModel;
25using System.Drawing;
26using System.Linq;
27using HeuristicLab.Common;
28using HeuristicLab.Core;
29using HeuristicLab.Data;
30using HeuristicLab.Encodings.RealVectorEncoding;
31using HeuristicLab.Optimization;
32using HeuristicLab.Parameters;
33using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
34using HeuristicLab.PluginInfrastructure;
35
36namespace HeuristicLab.Problems.TestFunctions {
37  [Item("Single Objective Test Function", "Test function with real valued inputs and a single objective.")]
38  [StorableClass]
39  [Creatable("Problems")]
40  public sealed class SingleObjectiveTestFunctionProblem : ParameterizedNamedItem, ISingleObjectiveProblem {
41    [Storable]
42    private StdDevStrategyVectorCreator strategyVectorCreator;
43    [Storable]
44    private StdDevStrategyVectorCrossover strategyVectorCrossover;
45    [Storable]
46    private StdDevStrategyVectorManipulator strategyVectorManipulator;
47
48    public override Image ItemImage {
49      get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Type; }
50    }
51
52    #region Parameter Properties
53    public ValueParameter<BoolValue> MaximizationParameter {
54      get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
55    }
56    IParameter ISingleObjectiveProblem.MaximizationParameter {
57      get { return MaximizationParameter; }
58    }
59    public ValueParameter<DoubleMatrix> BoundsParameter {
60      get { return (ValueParameter<DoubleMatrix>)Parameters["Bounds"]; }
61    }
62    public ValueParameter<IntValue> ProblemSizeParameter {
63      get { return (ValueParameter<IntValue>)Parameters["ProblemSize"]; }
64    }
65    public ValueParameter<IRealVectorCreator> SolutionCreatorParameter {
66      get { return (ValueParameter<IRealVectorCreator>)Parameters["SolutionCreator"]; }
67    }
68    IParameter IProblem.SolutionCreatorParameter {
69      get { return SolutionCreatorParameter; }
70    }
71    public ValueParameter<ISingleObjectiveTestFunctionProblemEvaluator> EvaluatorParameter {
72      get { return (ValueParameter<ISingleObjectiveTestFunctionProblemEvaluator>)Parameters["Evaluator"]; }
73    }
74    IParameter IProblem.EvaluatorParameter {
75      get { return EvaluatorParameter; }
76    }
77    public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
78      get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
79    }
80    IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
81      get { return BestKnownQualityParameter; }
82    }
83    public OptionalValueParameter<RealVector> BestKnownSolutionParameter {
84      get { return (OptionalValueParameter<RealVector>)Parameters["BestKnownSolution"]; }
85    }
86    #endregion
87
88    #region Properties
89    public BoolValue Maximization {
90      get { return MaximizationParameter.Value; }
91      set { MaximizationParameter.Value = value; }
92    }
93    public DoubleMatrix Bounds {
94      get { return BoundsParameter.Value; }
95      set { BoundsParameter.Value = value; }
96    }
97    public IntValue ProblemSize {
98      get { return ProblemSizeParameter.Value; }
99      set { ProblemSizeParameter.Value = value; }
100    }
101    public IRealVectorCreator SolutionCreator {
102      get { return SolutionCreatorParameter.Value; }
103      set { SolutionCreatorParameter.Value = value; }
104    }
105    ISolutionCreator IProblem.SolutionCreator {
106      get { return SolutionCreatorParameter.Value; }
107    }
108    public ISingleObjectiveTestFunctionProblemEvaluator Evaluator {
109      get { return EvaluatorParameter.Value; }
110      set { EvaluatorParameter.Value = value; }
111    }
112    ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
113      get { return EvaluatorParameter.Value; }
114    }
115    IEvaluator IProblem.Evaluator {
116      get { return EvaluatorParameter.Value; }
117    }
118    public DoubleValue BestKnownQuality {
119      get { return BestKnownQualityParameter.Value; }
120      set { BestKnownQualityParameter.Value = value; }
121    }
122    private List<IOperator> operators;
123    public IEnumerable<IOperator> Operators {
124      get { return operators; }
125    }
126    private BestSingleObjectiveTestFunctionSolutionAnalyzer BestSingleObjectiveTestFunctionSolutionAnalyzer {
127      get { return operators.OfType<BestSingleObjectiveTestFunctionSolutionAnalyzer>().FirstOrDefault(); }
128    }
129    #endregion
130
131    [StorableConstructor]
132    private SingleObjectiveTestFunctionProblem(bool deserializing) : base() { }
133    public SingleObjectiveTestFunctionProblem()
134      : base() {
135      UniformRandomRealVectorCreator creator = new UniformRandomRealVectorCreator();
136      AckleyEvaluator evaluator = new AckleyEvaluator();
137
138      Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as most test functions are minimization problems.", new BoolValue(evaluator.Maximization)));
139      Parameters.Add(new ValueParameter<DoubleMatrix>("Bounds", "The lower and upper bounds in each dimension.", evaluator.Bounds));
140      Parameters.Add(new ValueParameter<IntValue>("ProblemSize", "The dimension of the problem.", new IntValue(2)));
141      Parameters.Add(new ValueParameter<IRealVectorCreator>("SolutionCreator", "The operator which should be used to create new test function solutions.", creator));
142      Parameters.Add(new ValueParameter<ISingleObjectiveTestFunctionProblemEvaluator>("Evaluator", "The operator which should be used to evaluate test function solutions.", evaluator));
143      Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this test function.", new DoubleValue(evaluator.BestKnownQuality)));
144      Parameters.Add(new OptionalValueParameter<RealVector>("BestKnownSolution", "The best known solution for this test function instance."));
145
146      strategyVectorCreator = new StdDevStrategyVectorCreator();
147      strategyVectorCreator.LengthParameter.ActualName = ProblemSizeParameter.Name;
148      strategyVectorCrossover = new StdDevStrategyVectorCrossover();
149      strategyVectorManipulator = new StdDevStrategyVectorManipulator();
150      strategyVectorManipulator.LearningRateParameter.Value = new DoubleValue(0.5);
151      strategyVectorManipulator.GeneralLearningRateParameter.Value = new DoubleValue(0.5);
152
153      creator.RealVectorParameter.ActualName = "Point";
154      ParameterizeSolutionCreator();
155      ParameterizeEvaluator();
156
157      Initialize();
158      UpdateStrategyVectorBounds();
159    }
160
161    public override IDeepCloneable Clone(Cloner cloner) {
162      SingleObjectiveTestFunctionProblem clone = (SingleObjectiveTestFunctionProblem)base.Clone(cloner);
163      clone.strategyVectorCreator = (StdDevStrategyVectorCreator)cloner.Clone(strategyVectorCreator);
164      clone.strategyVectorCrossover = (StdDevStrategyVectorCrossover)cloner.Clone(strategyVectorCrossover);
165      clone.strategyVectorManipulator = (StdDevStrategyVectorManipulator)cloner.Clone(strategyVectorManipulator);
166      clone.Initialize();
167      return clone;
168    }
169
170    #region Events
171    public event EventHandler SolutionCreatorChanged;
172    private void OnSolutionCreatorChanged() {
173      EventHandler handler = SolutionCreatorChanged;
174      if (handler != null) handler(this, EventArgs.Empty);
175    }
176    public event EventHandler EvaluatorChanged;
177    private void OnEvaluatorChanged() {
178      EventHandler handler = EvaluatorChanged;
179      if (handler != null) handler(this, EventArgs.Empty);
180    }
181    public event EventHandler OperatorsChanged;
182    private void OnOperatorsChanged() {
183      EventHandler handler = OperatorsChanged;
184      if (handler != null) handler(this, EventArgs.Empty);
185    }
186    public event EventHandler Reset;
187    private void OnReset() {
188      EventHandler handler = Reset;
189      if (handler != null) handler(this, EventArgs.Empty);
190    }
191
192    private void ProblemSizeParameter_ValueChanged(object sender, EventArgs e) {
193      ProblemSize.ValueChanged += new EventHandler(ProblemSize_ValueChanged);
194      ProblemSize_ValueChanged(null, EventArgs.Empty);
195    }
196    private void ProblemSize_ValueChanged(object sender, EventArgs e) {
197      if (ProblemSize.Value < 1) ProblemSize.Value = 1;
198      ParameterizeSolutionCreator();
199      ParameterizeEvaluator();
200      strategyVectorManipulator.GeneralLearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * ProblemSize.Value));
201      strategyVectorManipulator.LearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * Math.Sqrt(ProblemSize.Value)));
202      OnReset();
203    }
204    private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
205      ParameterizeSolutionCreator();
206      ParameterizeAnalyzers();
207      SolutionCreator_RealVectorParameter_ActualNameChanged(null, EventArgs.Empty);
208    }
209    private void SolutionCreator_RealVectorParameter_ActualNameChanged(object sender, EventArgs e) {
210      ParameterizeEvaluator();
211      ParameterizeOperators();
212      ParameterizeAnalyzers();
213    }
214    private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
215      ParameterizeEvaluator();
216      UpdateMoveEvaluators();
217      ParameterizeAnalyzers();
218      Maximization.Value = Evaluator.Maximization;
219      BoundsParameter.Value = Evaluator.Bounds;
220      if (ProblemSize.Value < Evaluator.MinimumProblemSize)
221        ProblemSize.Value = Evaluator.MinimumProblemSize;
222      else if (ProblemSize.Value > Evaluator.MaximumProblemSize)
223        ProblemSize.Value = Evaluator.MaximumProblemSize;
224      BestKnownQuality = new DoubleValue(Evaluator.BestKnownQuality);
225      Evaluator_QualityParameter_ActualNameChanged(null, EventArgs.Empty);
226      OnReset();
227    }
228    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
229      ParameterizeOperators();
230    }
231    private void BoundsParameter_ValueChanged(object sender, EventArgs e) {
232      Bounds.ToStringChanged += new EventHandler(Bounds_ToStringChanged);
233      Bounds_ToStringChanged(null, EventArgs.Empty);
234    }
235    private void Bounds_ToStringChanged(object sender, EventArgs e) {
236      if (Bounds.Columns != 2 || Bounds.Rows < 1)
237        Bounds = new DoubleMatrix(1, 2);
238      ParameterizeOperators();
239      UpdateStrategyVectorBounds();
240    }
241    private void Bounds_ItemChanged(object sender, EventArgs<int, int> e) {
242      if (e.Value2 == 0 && Bounds[e.Value, 1] <= Bounds[e.Value, 0])
243        Bounds[e.Value, 1] = Bounds[e.Value, 0] + 0.1;
244      if (e.Value2 == 1 && Bounds[e.Value, 0] >= Bounds[e.Value, 1])
245        Bounds[e.Value, 0] = Bounds[e.Value, 1] - 0.1;
246      ParameterizeOperators();
247      UpdateStrategyVectorBounds();
248    }
249    private void MoveGenerator_AdditiveMoveParameter_ActualNameChanged(object sender, EventArgs e) {
250      string name = ((ILookupParameter<AdditiveMove>)sender).ActualName;
251      foreach (IAdditiveRealVectorMoveOperator op in Operators.OfType<IAdditiveRealVectorMoveOperator>()) {
252        op.AdditiveMoveParameter.ActualName = name;
253      }
254    }
255    private void SphereEvaluator_Parameter_ValueChanged(object sender, EventArgs e) {
256      SphereEvaluator eval = (Evaluator as SphereEvaluator);
257      if (eval != null) {
258        foreach (ISphereMoveEvaluator op in Operators.OfType<ISphereMoveEvaluator>()) {
259          op.C = eval.C;
260          op.Alpha = eval.Alpha;
261        }
262      }
263    }
264    private void RastriginEvaluator_Parameter_ValueChanged(object sender, EventArgs e) {
265      RastriginEvaluator eval = (Evaluator as RastriginEvaluator);
266      if (eval != null) {
267        foreach (IRastriginMoveEvaluator op in Operators.OfType<IRastriginMoveEvaluator>()) {
268          op.A = eval.A;
269        }
270      }
271    }
272    private void strategyVectorCreator_BoundsParameter_ValueChanged(object sender, EventArgs e) {
273      strategyVectorManipulator.BoundsParameter.Value = (DoubleMatrix)strategyVectorCreator.BoundsParameter.Value.Clone();
274    }
275    private void strategyVectorCreator_StrategyParameterParameter_ActualNameChanged(object sender, EventArgs e) {
276      string name = strategyVectorCreator.StrategyParameterParameter.ActualName;
277      strategyVectorCrossover.ParentsParameter.ActualName = name;
278      strategyVectorCrossover.StrategyParameterParameter.ActualName = name;
279      strategyVectorManipulator.StrategyParameterParameter.ActualName = name;
280    }
281    #endregion
282
283    #region Helpers
284    [StorableHook(HookType.AfterDeserialization)]
285    private void Initialize() {
286      InitializeOperators();
287      ProblemSizeParameter.ValueChanged += new EventHandler(ProblemSizeParameter_ValueChanged);
288      ProblemSize.ValueChanged += new EventHandler(ProblemSize_ValueChanged);
289      BoundsParameter.ValueChanged += new EventHandler(BoundsParameter_ValueChanged);
290      Bounds.ToStringChanged += new EventHandler(Bounds_ToStringChanged);
291      Bounds.ItemChanged += new EventHandler<EventArgs<int, int>>(Bounds_ItemChanged);
292      SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
293      SolutionCreator.RealVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_RealVectorParameter_ActualNameChanged);
294      EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
295      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
296      strategyVectorCreator.BoundsParameter.ValueChanged += new EventHandler(strategyVectorCreator_BoundsParameter_ValueChanged);
297      strategyVectorCreator.StrategyParameterParameter.ActualNameChanged += new EventHandler(strategyVectorCreator_StrategyParameterParameter_ActualNameChanged);
298    }
299    private void ParameterizeAnalyzers() {
300      BestSingleObjectiveTestFunctionSolutionAnalyzer.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
301      BestSingleObjectiveTestFunctionSolutionAnalyzer.ResultsParameter.ActualName = "Results";
302      BestSingleObjectiveTestFunctionSolutionAnalyzer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
303      BestSingleObjectiveTestFunctionSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
304      BestSingleObjectiveTestFunctionSolutionAnalyzer.BestKnownSolutionParameter.ActualName = BestKnownSolutionParameter.Name;
305      BestSingleObjectiveTestFunctionSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name;
306      BestSingleObjectiveTestFunctionSolutionAnalyzer.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
307    }
308    private void InitializeOperators() {
309      operators = new List<IOperator>();
310      operators.Add(new BestSingleObjectiveTestFunctionSolutionAnalyzer());
311      ParameterizeAnalyzers();
312      operators.AddRange(ApplicationManager.Manager.GetInstances<IRealVectorOperator>().Cast<IOperator>());
313      operators.Add(strategyVectorCreator);
314      operators.Add(strategyVectorCrossover);
315      operators.Add(strategyVectorManipulator);
316      UpdateMoveEvaluators();
317      ParameterizeOperators();
318      InitializeMoveGenerators();
319    }
320    private void InitializeMoveGenerators() {
321      foreach (IAdditiveRealVectorMoveOperator op in Operators.OfType<IAdditiveRealVectorMoveOperator>()) {
322        if (op is IMoveGenerator) {
323          op.AdditiveMoveParameter.ActualNameChanged += new EventHandler(MoveGenerator_AdditiveMoveParameter_ActualNameChanged);
324        }
325      }
326    }
327    private void UpdateMoveEvaluators() {
328      foreach (ISingleObjectiveTestFunctionMoveEvaluator op in Operators.OfType<ISingleObjectiveTestFunctionMoveEvaluator>().ToList())
329        operators.Remove(op);
330      foreach (ISingleObjectiveTestFunctionMoveEvaluator op in ApplicationManager.Manager.GetInstances<ISingleObjectiveTestFunctionMoveEvaluator>())
331        if (op.EvaluatorType == Evaluator.GetType()) {
332          operators.Add(op);
333          #region Synchronize evaluator specific parameters with the parameters of the corresponding move evaluators
334          if (op is ISphereMoveEvaluator) {
335            SphereEvaluator e = (Evaluator as SphereEvaluator);
336            e.AlphaParameter.ValueChanged += new EventHandler(SphereEvaluator_Parameter_ValueChanged);
337            e.CParameter.ValueChanged += new EventHandler(SphereEvaluator_Parameter_ValueChanged);
338            ISphereMoveEvaluator em = (op as ISphereMoveEvaluator);
339            em.C = e.C;
340            em.Alpha = e.Alpha;
341          } else if (op is IRastriginMoveEvaluator) {
342            RastriginEvaluator e = (Evaluator as RastriginEvaluator);
343            e.AParameter.ValueChanged += new EventHandler(RastriginEvaluator_Parameter_ValueChanged);
344            IRastriginMoveEvaluator em = (op as IRastriginMoveEvaluator);
345            em.A = e.A;
346          }
347          #endregion
348        }
349      ParameterizeOperators();
350      OnOperatorsChanged();
351    }
352    private void ParameterizeSolutionCreator() {
353      SolutionCreator.LengthParameter.Value = new IntValue(ProblemSize.Value);
354    }
355    private void ParameterizeEvaluator() {
356      Evaluator.PointParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
357      BestKnownSolutionParameter.Value = Evaluator.GetBestKnownSolution(ProblemSize.Value);
358    }
359    private void ParameterizeOperators() {
360      foreach (IRealVectorCrossover op in Operators.OfType<IRealVectorCrossover>()) {
361        op.ParentsParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
362        op.ChildParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
363        op.BoundsParameter.ActualName = BoundsParameter.Name;
364      }
365      foreach (IRealVectorManipulator op in Operators.OfType<IRealVectorManipulator>()) {
366        op.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
367        op.BoundsParameter.ActualName = BoundsParameter.Name;
368      }
369      foreach (IRealVectorMoveOperator op in Operators.OfType<IRealVectorMoveOperator>()) {
370        op.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
371      }
372      foreach (IRealVectorMoveGenerator op in Operators.OfType<IRealVectorMoveGenerator>()) {
373        op.BoundsParameter.ActualName = BoundsParameter.Name;
374      }
375      foreach (ISingleObjectiveTestFunctionAdditiveMoveEvaluator op in Operators.OfType<ISingleObjectiveTestFunctionAdditiveMoveEvaluator>()) {
376        op.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
377        op.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
378      }
379      foreach (IRealVectorPSOEncoder op in Operators.OfType<IRealVectorPSOEncoder>()) {
380        ((ILookupParameter)op.OriginalRealVectorParameter).ActualName = SolutionCreator.RealVectorParameter.ActualName;
381        op.BoundsParameter.Value = (DoubleMatrix)BoundsParameter.Value.Clone();
382        op.BoundsParameter.ActualName = "ParticleBounds";
383      }
384    }
385    private void UpdateStrategyVectorBounds() {
386      DoubleMatrix strategyBounds = (DoubleMatrix)Bounds.Clone();
387      for (int i = 0; i < strategyBounds.Rows; i++)
388        if (strategyBounds[i, 0] < 0) strategyBounds[i, 0] = 0;
389      strategyVectorCreator.BoundsParameter.Value = strategyBounds;
390    }
391    #endregion
392  }
393}
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