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source: branches/PersistenceSpeedUp/HeuristicLab.Problems.TestFunctions/3.3/Analyzers/BestSingleObjectiveTestFunctionSolutionAnalyzer.cs @ 8767

Last change on this file since 8767 was 6051, checked in by swagner, 14 years ago

Changed some more parameters to be hidden per default and corrected wrong layout in some parameter views (#1377)

File size: 8.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Linq;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.RealVectorEncoding;
27using HeuristicLab.Operators;
28using HeuristicLab.Optimization;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Problems.TestFunctions {
33  /// <summary>
34  /// An operator for analyzing the best solution for a SingleObjectiveTestFunction problem.
35  /// </summary>
36  [Item("BestSingleObjectiveTestFunctionSolutionAnalyzer", "An operator for analyzing the best solution for a SingleObjectiveTestFunction problem.")]
37  [StorableClass]
38  class BestSingleObjectiveTestFunctionSolutionAnalyzer : SingleSuccessorOperator, IBestSingleObjectiveTestFunctionSolutionAnalyzer, IAnalyzer {
39    public LookupParameter<BoolValue> MaximizationParameter {
40      get { return (LookupParameter<BoolValue>)Parameters["Maximization"]; }
41    }
42    public ScopeTreeLookupParameter<RealVector> RealVectorParameter {
43      get { return (ScopeTreeLookupParameter<RealVector>)Parameters["RealVector"]; }
44    }
45    ILookupParameter IBestSingleObjectiveTestFunctionSolutionAnalyzer.RealVectorParameter {
46      get { return RealVectorParameter; }
47    }
48    public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
49      get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
50    }
51    ILookupParameter IBestSingleObjectiveTestFunctionSolutionAnalyzer.QualityParameter {
52      get { return QualityParameter; }
53    }
54    public ILookupParameter<SingleObjectiveTestFunctionSolution> BestSolutionParameter {
55      get { return (ILookupParameter<SingleObjectiveTestFunctionSolution>)Parameters["BestSolution"]; }
56    }
57    public ILookupParameter<RealVector> BestKnownSolutionParameter {
58      get { return (ILookupParameter<RealVector>)Parameters["BestKnownSolution"]; }
59    }
60    public ILookupParameter<DoubleValue> BestKnownQualityParameter {
61      get { return (ILookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
62    }
63    public IValueLookupParameter<ResultCollection> ResultsParameter {
64      get { return (IValueLookupParameter<ResultCollection>)Parameters["Results"]; }
65    }
66    public IValueLookupParameter<ISingleObjectiveTestFunctionProblemEvaluator> EvaluatorParameter {
67      get { return (IValueLookupParameter<ISingleObjectiveTestFunctionProblemEvaluator>)Parameters["Evaluator"]; }
68    }
69    public ILookupParameter<DoubleMatrix> BoundsParameter {
70      get { return (ILookupParameter<DoubleMatrix>)Parameters["Bounds"]; }
71    }
72
73    [StorableConstructor]
74    protected BestSingleObjectiveTestFunctionSolutionAnalyzer(bool deserializing) : base(deserializing) { }
75    protected BestSingleObjectiveTestFunctionSolutionAnalyzer(BestSingleObjectiveTestFunctionSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
76    public BestSingleObjectiveTestFunctionSolutionAnalyzer()
77      : base() {
78      Parameters.Add(new LookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem."));
79      Parameters.Add(new ScopeTreeLookupParameter<RealVector>("RealVector", "The SingleObjectiveTestFunction solutions from which the best solution should be visualized."));
80      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The qualities of the SingleObjectiveTestFunction solutions which should be visualized."));
81      Parameters.Add(new LookupParameter<SingleObjectiveTestFunctionSolution>("BestSolution", "The best SingleObjectiveTestFunction solution."));
82      Parameters.Add(new LookupParameter<RealVector>("BestKnownSolution", "The best known solution."));
83      Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution."));
84      Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the SingleObjectiveTestFunction solution should be stored."));
85      Parameters.Add(new ValueLookupParameter<ISingleObjectiveTestFunctionProblemEvaluator>("Evaluator", "The evaluator with which the solution is evaluated."));
86      Parameters.Add(new LookupParameter<DoubleMatrix>("Bounds", "The bounds of the function."));
87
88      MaximizationParameter.Hidden = true;
89      RealVectorParameter.Hidden = true;
90      QualityParameter.Hidden = true;
91      BestSolutionParameter.Hidden = true;
92      BestKnownSolutionParameter.Hidden = true;
93      BestKnownQualityParameter.Hidden = true;
94      ResultsParameter.Hidden = true;
95      EvaluatorParameter.Hidden = true;
96      BoundsParameter.Hidden = true;
97    }
98
99    /// <summary>
100    /// This method can simply be removed when the plugin version is > 3.3
101    /// </summary>
102    [StorableHook(HookType.AfterDeserialization)]
103    private void AfterDeserialization() {
104      // BackwardsCompatibility3.3
105      // Bounds are introduced in 3.3.0.3894
106      if (!Parameters.ContainsKey("Bounds"))
107        Parameters.Add(new LookupParameter<DoubleMatrix>("Bounds", "The bounds of the function."));
108    }
109
110    public override IDeepCloneable Clone(Cloner cloner) {
111      return new BestSingleObjectiveTestFunctionSolutionAnalyzer(this, cloner);
112    }
113
114    public override IOperation Apply() {
115      ItemArray<RealVector> realVectors = RealVectorParameter.ActualValue;
116      ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
117      bool max = MaximizationParameter.ActualValue.Value;
118      DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;
119      SingleObjectiveTestFunctionSolution solution = BestSolutionParameter.ActualValue;
120
121      int i = -1;
122      if (!max) i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
123      else i = qualities.Select((x, index) => new { index, x.Value }).OrderByDescending(x => x.Value).First().index;
124
125      if (bestKnownQuality == null ||
126          max && qualities[i].Value > bestKnownQuality.Value
127          || !max && qualities[i].Value < bestKnownQuality.Value) {
128        BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
129        BestKnownSolutionParameter.ActualValue = (RealVector)realVectors[i].Clone();
130        if (solution != null)
131          solution.BestKnownRealVector = BestKnownSolutionParameter.ActualValue;
132      }
133
134      if (solution == null) {
135        ResultCollection results = ResultsParameter.ActualValue;
136        solution = new SingleObjectiveTestFunctionSolution(realVectors[i], qualities[i], EvaluatorParameter.ActualValue);
137        solution.Population = realVectors[i].Length == 2 ? realVectors : null;
138        solution.BestKnownRealVector = BestKnownSolutionParameter.ActualValue;
139        solution.Bounds = BoundsParameter.ActualValue;
140        BestSolutionParameter.ActualValue = solution;
141        results.Add(new Result("Best Solution", solution));
142      } else {
143        if (max && qualities[i].Value > solution.BestQuality.Value
144          || !max && qualities[i].Value < solution.BestQuality.Value) {
145          solution.BestRealVector = realVectors[i];
146          solution.BestQuality = qualities[i];
147        }
148        solution.Population = realVectors[i].Length == 2 ? realVectors : null;
149      }
150
151      return base.Apply();
152    }
153  }
154}
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