Free cookie consent management tool by TermsFeed Policy Generator

source: trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/SingleObjectiveTestFunctionProblem.cs @ 4086

Last change on this file since 4086 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 19.9 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.Drawing;
25using System.Linq;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Encodings.RealVectorEncoding;
30using HeuristicLab.Optimization;
31using HeuristicLab.Parameters;
32using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
33using HeuristicLab.PluginInfrastructure;
34
35namespace HeuristicLab.Problems.TestFunctions {
36  [Item("Single Objective Test Function", "Test function with real valued inputs and a single objective.")]
37  [StorableClass]
38  [Creatable("Problems")]
39  public sealed class SingleObjectiveTestFunctionProblem : ParameterizedNamedItem, ISingleObjectiveProblem {
40    [Storable]
41    private StdDevStrategyVectorCreator strategyVectorCreator;
42    [Storable]
43    private StdDevStrategyVectorCrossover strategyVectorCrossover;
44    [Storable]
45    private StdDevStrategyVectorManipulator strategyVectorManipulator;
46
47    public override Image ItemImage {
48      get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Type; }
49    }
50
51    #region Parameter Properties
52    public ValueParameter<BoolValue> MaximizationParameter {
53      get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
54    }
55    IParameter ISingleObjectiveProblem.MaximizationParameter {
56      get { return MaximizationParameter; }
57    }
58    public ValueParameter<DoubleMatrix> BoundsParameter {
59      get { return (ValueParameter<DoubleMatrix>)Parameters["Bounds"]; }
60    }
61    public ValueParameter<IntValue> ProblemSizeParameter {
62      get { return (ValueParameter<IntValue>)Parameters["ProblemSize"]; }
63    }
64    public ValueParameter<IRealVectorCreator> SolutionCreatorParameter {
65      get { return (ValueParameter<IRealVectorCreator>)Parameters["SolutionCreator"]; }
66    }
67    IParameter IProblem.SolutionCreatorParameter {
68      get { return SolutionCreatorParameter; }
69    }
70    public ValueParameter<ISingleObjectiveTestFunctionProblemEvaluator> EvaluatorParameter {
71      get { return (ValueParameter<ISingleObjectiveTestFunctionProblemEvaluator>)Parameters["Evaluator"]; }
72    }
73    IParameter IProblem.EvaluatorParameter {
74      get { return EvaluatorParameter; }
75    }
76    public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
77      get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
78    }
79    IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
80      get { return BestKnownQualityParameter; }
81    }
82    public OptionalValueParameter<RealVector> BestKnownSolutionParameter {
83      get { return (OptionalValueParameter<RealVector>)Parameters["BestKnownSolution"]; }
84    }
85    #endregion
86
87    #region Properties
88    public BoolValue Maximization {
89      get { return MaximizationParameter.Value; }
90      set { MaximizationParameter.Value = value; }
91    }
92    public DoubleMatrix Bounds {
93      get { return BoundsParameter.Value; }
94      set { BoundsParameter.Value = value; }
95    }
96    public IntValue ProblemSize {
97      get { return ProblemSizeParameter.Value; }
98      set { ProblemSizeParameter.Value = value; }
99    }
100    public IRealVectorCreator SolutionCreator {
101      get { return SolutionCreatorParameter.Value; }
102      set { SolutionCreatorParameter.Value = value; }
103    }
104    ISolutionCreator IProblem.SolutionCreator {
105      get { return SolutionCreatorParameter.Value; }
106    }
107    public ISingleObjectiveTestFunctionProblemEvaluator Evaluator {
108      get { return EvaluatorParameter.Value; }
109      set { EvaluatorParameter.Value = value; }
110    }
111    ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
112      get { return EvaluatorParameter.Value; }
113    }
114    IEvaluator IProblem.Evaluator {
115      get { return EvaluatorParameter.Value; }
116    }
117    public DoubleValue BestKnownQuality {
118      get { return BestKnownQualityParameter.Value; }
119      set { BestKnownQualityParameter.Value = value; }
120    }
121    private List<IOperator> operators;
122    public IEnumerable<IOperator> Operators {
123      get { return operators; }
124    }
125    private BestSingleObjectiveTestFunctionSolutionAnalyzer BestSingleObjectiveTestFunctionSolutionAnalyzer {
126      get { return operators.OfType<BestSingleObjectiveTestFunctionSolutionAnalyzer>().FirstOrDefault(); }
127    }
128    #endregion
129
130    [StorableConstructor]
131    private SingleObjectiveTestFunctionProblem(bool deserializing) : base() { }
132    public SingleObjectiveTestFunctionProblem()
133      : base() {
134      UniformRandomRealVectorCreator creator = new UniformRandomRealVectorCreator();
135      AckleyEvaluator evaluator = new AckleyEvaluator();
136
137      Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as most test functions are minimization problems.", new BoolValue(evaluator.Maximization)));
138      Parameters.Add(new ValueParameter<DoubleMatrix>("Bounds", "The lower and upper bounds in each dimension.", evaluator.Bounds));
139      Parameters.Add(new ValueParameter<IntValue>("ProblemSize", "The dimension of the problem.", new IntValue(2)));
140      Parameters.Add(new ValueParameter<IRealVectorCreator>("SolutionCreator", "The operator which should be used to create new test function solutions.", creator));
141      Parameters.Add(new ValueParameter<ISingleObjectiveTestFunctionProblemEvaluator>("Evaluator", "The operator which should be used to evaluate test function solutions.", evaluator));
142      Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this test function.", new DoubleValue(evaluator.BestKnownQuality)));
143      Parameters.Add(new OptionalValueParameter<RealVector>("BestKnownSolution", "The best known solution for this test function instance."));
144
145      strategyVectorCreator = new StdDevStrategyVectorCreator();
146      strategyVectorCreator.LengthParameter.ActualName = ProblemSizeParameter.Name;
147      strategyVectorCrossover = new StdDevStrategyVectorCrossover();
148      strategyVectorManipulator = new StdDevStrategyVectorManipulator();
149      strategyVectorManipulator.LearningRateParameter.Value = new DoubleValue(0.5);
150      strategyVectorManipulator.GeneralLearningRateParameter.Value = new DoubleValue(0.5);
151
152      creator.RealVectorParameter.ActualName = "Point";
153      ParameterizeSolutionCreator();
154      ParameterizeEvaluator();
155
156      Initialize();
157      UpdateStrategyVectorBounds();
158    }
159
160    public override IDeepCloneable Clone(Cloner cloner) {
161      SingleObjectiveTestFunctionProblem clone = (SingleObjectiveTestFunctionProblem)base.Clone(cloner);
162      clone.strategyVectorCreator = (StdDevStrategyVectorCreator)cloner.Clone(strategyVectorCreator);
163      clone.strategyVectorCrossover = (StdDevStrategyVectorCrossover)cloner.Clone(strategyVectorCrossover);
164      clone.strategyVectorManipulator = (StdDevStrategyVectorManipulator)cloner.Clone(strategyVectorManipulator);
165      clone.Initialize();
166      return clone;
167    }
168
169    #region Events
170    public event EventHandler SolutionCreatorChanged;
171    private void OnSolutionCreatorChanged() {
172      EventHandler handler = SolutionCreatorChanged;
173      if (handler != null) handler(this, EventArgs.Empty);
174    }
175    public event EventHandler EvaluatorChanged;
176    private void OnEvaluatorChanged() {
177      EventHandler handler = EvaluatorChanged;
178      if (handler != null) handler(this, EventArgs.Empty);
179    }
180    public event EventHandler OperatorsChanged;
181    private void OnOperatorsChanged() {
182      EventHandler handler = OperatorsChanged;
183      if (handler != null) handler(this, EventArgs.Empty);
184    }
185    public event EventHandler Reset;
186    private void OnReset() {
187      EventHandler handler = Reset;
188      if (handler != null) handler(this, EventArgs.Empty);
189    }
190
191    private void ProblemSizeParameter_ValueChanged(object sender, EventArgs e) {
192      ProblemSize.ValueChanged += new EventHandler(ProblemSize_ValueChanged);
193      ProblemSize_ValueChanged(null, EventArgs.Empty);
194    }
195    private void ProblemSize_ValueChanged(object sender, EventArgs e) {
196      if (ProblemSize.Value < 1) ProblemSize.Value = 1;
197      ParameterizeSolutionCreator();
198      ParameterizeEvaluator();
199      strategyVectorManipulator.GeneralLearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * ProblemSize.Value));
200      strategyVectorManipulator.LearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * Math.Sqrt(ProblemSize.Value)));
201      OnReset();
202    }
203    private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
204      ParameterizeSolutionCreator();
205      ParameterizeAnalyzers();
206      SolutionCreator_RealVectorParameter_ActualNameChanged(null, EventArgs.Empty);
207      OnSolutionCreatorChanged();
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      OnEvaluatorChanged();
227      OnReset();
228    }
229    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
230      ParameterizeOperators();
231    }
232    private void BoundsParameter_ValueChanged(object sender, EventArgs e) {
233      Bounds.ToStringChanged += new EventHandler(Bounds_ToStringChanged);
234      Bounds_ToStringChanged(null, EventArgs.Empty);
235    }
236    private void Bounds_ToStringChanged(object sender, EventArgs e) {
237      if (Bounds.Columns != 2 || Bounds.Rows < 1)
238        Bounds = new DoubleMatrix(1, 2);
239      ParameterizeOperators();
240      UpdateStrategyVectorBounds();
241    }
242    private void Bounds_ItemChanged(object sender, EventArgs<int, int> e) {
243      if (e.Value2 == 0 && Bounds[e.Value, 1] <= Bounds[e.Value, 0])
244        Bounds[e.Value, 1] = Bounds[e.Value, 0] + 0.1;
245      if (e.Value2 == 1 && Bounds[e.Value, 0] >= Bounds[e.Value, 1])
246        Bounds[e.Value, 0] = Bounds[e.Value, 1] - 0.1;
247      ParameterizeOperators();
248      UpdateStrategyVectorBounds();
249    }
250    private void MoveGenerator_AdditiveMoveParameter_ActualNameChanged(object sender, EventArgs e) {
251      string name = ((ILookupParameter<AdditiveMove>)sender).ActualName;
252      foreach (IAdditiveRealVectorMoveOperator op in Operators.OfType<IAdditiveRealVectorMoveOperator>()) {
253        op.AdditiveMoveParameter.ActualName = name;
254      }
255    }
256    private void SphereEvaluator_Parameter_ValueChanged(object sender, EventArgs e) {
257      SphereEvaluator eval = (Evaluator as SphereEvaluator);
258      if (eval != null) {
259        foreach (ISphereMoveEvaluator op in Operators.OfType<ISphereMoveEvaluator>()) {
260          op.C = eval.C;
261          op.Alpha = eval.Alpha;
262        }
263      }
264    }
265    private void RastriginEvaluator_Parameter_ValueChanged(object sender, EventArgs e) {
266      RastriginEvaluator eval = (Evaluator as RastriginEvaluator);
267      if (eval != null) {
268        foreach (IRastriginMoveEvaluator op in Operators.OfType<IRastriginMoveEvaluator>()) {
269          op.A = eval.A;
270        }
271      }
272    }
273    private void strategyVectorCreator_BoundsParameter_ValueChanged(object sender, EventArgs e) {
274      strategyVectorManipulator.BoundsParameter.Value = (DoubleMatrix)strategyVectorCreator.BoundsParameter.Value.Clone();
275    }
276    private void strategyVectorCreator_StrategyParameterParameter_ActualNameChanged(object sender, EventArgs e) {
277      string name = strategyVectorCreator.StrategyParameterParameter.ActualName;
278      strategyVectorCrossover.ParentsParameter.ActualName = name;
279      strategyVectorCrossover.StrategyParameterParameter.ActualName = name;
280      strategyVectorManipulator.StrategyParameterParameter.ActualName = name;
281    }
282    #endregion
283
284    #region Helpers
285    [StorableHook(HookType.AfterDeserialization)]
286    private void Initialize() {
287      InitializeOperators();
288      ProblemSizeParameter.ValueChanged += new EventHandler(ProblemSizeParameter_ValueChanged);
289      ProblemSize.ValueChanged += new EventHandler(ProblemSize_ValueChanged);
290      BoundsParameter.ValueChanged += new EventHandler(BoundsParameter_ValueChanged);
291      Bounds.ToStringChanged += new EventHandler(Bounds_ToStringChanged);
292      Bounds.ItemChanged += new EventHandler<EventArgs<int, int>>(Bounds_ItemChanged);
293      SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
294      SolutionCreator.RealVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_RealVectorParameter_ActualNameChanged);
295      EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
296      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
297      strategyVectorCreator.BoundsParameter.ValueChanged += new EventHandler(strategyVectorCreator_BoundsParameter_ValueChanged);
298      strategyVectorCreator.StrategyParameterParameter.ActualNameChanged += new EventHandler(strategyVectorCreator_StrategyParameterParameter_ActualNameChanged);
299    }
300    private void ParameterizeAnalyzers() {
301      BestSingleObjectiveTestFunctionSolutionAnalyzer.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
302      BestSingleObjectiveTestFunctionSolutionAnalyzer.ResultsParameter.ActualName = "Results";
303      BestSingleObjectiveTestFunctionSolutionAnalyzer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
304      BestSingleObjectiveTestFunctionSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
305      BestSingleObjectiveTestFunctionSolutionAnalyzer.BestKnownSolutionParameter.ActualName = BestKnownSolutionParameter.Name;
306      BestSingleObjectiveTestFunctionSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name;
307      BestSingleObjectiveTestFunctionSolutionAnalyzer.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
308      BestSingleObjectiveTestFunctionSolutionAnalyzer.BoundsParameter.ActualName = BoundsParameter.Name;
309    }
310    private void InitializeOperators() {
311      operators = new List<IOperator>();
312      operators.Add(new BestSingleObjectiveTestFunctionSolutionAnalyzer());
313      ParameterizeAnalyzers();
314      operators.AddRange(ApplicationManager.Manager.GetInstances<IRealVectorOperator>().Cast<IOperator>());
315      operators.Add(strategyVectorCreator);
316      operators.Add(strategyVectorCrossover);
317      operators.Add(strategyVectorManipulator);
318      UpdateMoveEvaluators();
319      ParameterizeOperators();
320      InitializeMoveGenerators();
321    }
322    private void InitializeMoveGenerators() {
323      foreach (IAdditiveRealVectorMoveOperator op in Operators.OfType<IAdditiveRealVectorMoveOperator>()) {
324        if (op is IMoveGenerator) {
325          op.AdditiveMoveParameter.ActualNameChanged += new EventHandler(MoveGenerator_AdditiveMoveParameter_ActualNameChanged);
326        }
327      }
328    }
329    private void UpdateMoveEvaluators() {
330      foreach (ISingleObjectiveTestFunctionMoveEvaluator op in Operators.OfType<ISingleObjectiveTestFunctionMoveEvaluator>().ToList())
331        operators.Remove(op);
332      foreach (ISingleObjectiveTestFunctionMoveEvaluator op in ApplicationManager.Manager.GetInstances<ISingleObjectiveTestFunctionMoveEvaluator>())
333        if (op.EvaluatorType == Evaluator.GetType()) {
334          operators.Add(op);
335          #region Synchronize evaluator specific parameters with the parameters of the corresponding move evaluators
336          if (op is ISphereMoveEvaluator) {
337            SphereEvaluator e = (Evaluator as SphereEvaluator);
338            e.AlphaParameter.ValueChanged += new EventHandler(SphereEvaluator_Parameter_ValueChanged);
339            e.CParameter.ValueChanged += new EventHandler(SphereEvaluator_Parameter_ValueChanged);
340            ISphereMoveEvaluator em = (op as ISphereMoveEvaluator);
341            em.C = e.C;
342            em.Alpha = e.Alpha;
343          } else if (op is IRastriginMoveEvaluator) {
344            RastriginEvaluator e = (Evaluator as RastriginEvaluator);
345            e.AParameter.ValueChanged += new EventHandler(RastriginEvaluator_Parameter_ValueChanged);
346            IRastriginMoveEvaluator em = (op as IRastriginMoveEvaluator);
347            em.A = e.A;
348          }
349          #endregion
350        }
351      ParameterizeOperators();
352      OnOperatorsChanged();
353    }
354    private void ParameterizeSolutionCreator() {
355      SolutionCreator.LengthParameter.Value = new IntValue(ProblemSize.Value);
356    }
357    private void ParameterizeEvaluator() {
358      Evaluator.PointParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
359      BestKnownSolutionParameter.Value = Evaluator.GetBestKnownSolution(ProblemSize.Value);
360    }
361    private void ParameterizeOperators() {
362      foreach (IRealVectorCrossover op in Operators.OfType<IRealVectorCrossover>()) {
363        op.ParentsParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
364        op.ChildParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
365        op.BoundsParameter.ActualName = BoundsParameter.Name;
366      }
367      foreach (IRealVectorManipulator op in Operators.OfType<IRealVectorManipulator>()) {
368        op.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
369        op.BoundsParameter.ActualName = BoundsParameter.Name;
370      }
371      foreach (IRealVectorMoveOperator op in Operators.OfType<IRealVectorMoveOperator>()) {
372        op.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
373      }
374      foreach (IRealVectorMoveGenerator op in Operators.OfType<IRealVectorMoveGenerator>()) {
375        op.BoundsParameter.ActualName = BoundsParameter.Name;
376      }
377      foreach (ISingleObjectiveTestFunctionAdditiveMoveEvaluator op in Operators.OfType<ISingleObjectiveTestFunctionAdditiveMoveEvaluator>()) {
378        op.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
379        op.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
380      }
381      foreach (IRealVectorPSOEncoder op in Operators.OfType<IRealVectorPSOEncoder>()) {
382        ((ILookupParameter)op.OriginalRealVectorParameter).ActualName = SolutionCreator.RealVectorParameter.ActualName;
383        op.BoundsParameter.Value = (DoubleMatrix)BoundsParameter.Value.Clone();
384        op.BoundsParameter.ActualName = "ParticleBounds";
385      }
386    }
387    private void UpdateStrategyVectorBounds() {
388      DoubleMatrix strategyBounds = (DoubleMatrix)Bounds.Clone();
389      for (int i = 0; i < strategyBounds.Rows; i++)
390        if (strategyBounds[i, 0] < 0) strategyBounds[i, 0] = 0;
391      strategyVectorCreator.BoundsParameter.Value = strategyBounds;
392    }
393    #endregion
394  }
395}
Note: See TracBrowser for help on using the repository browser.