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source: branches/HeuristicLab.MetaOptimization (trunk integration)/HeuristicLab.Problems.MetaOptimization/3.3/Analyzers/BestParameterConfigurationAnalyzer.cs @ 13042

Last change on this file since 13042 was 8576, checked in by jkarder, 12 years ago

#1853: created branch for MetaOptimization (trunk integration)

File size: 6.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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.ParameterConfigurationEncoding;
27using HeuristicLab.Operators;
28using HeuristicLab.Optimization;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Problems.MetaOptimization {
33  /// <summary>
34  /// An analyzer that records the best parameter configuration.
35  /// </summary>
36  [Item("BestParameterConfigurationAnalyzer", "An analyzer that records the best parameter configuration.")]
37  [StorableClass]
38  public sealed class BestParameterConfigurationAnalyzer : SingleSuccessorOperator, IAnalyzer {
39    public bool EnabledByDefault {
40      get { return true; }
41    }
42
43    public ScopeTreeLookupParameter<ParameterConfigurationTree> ParameterConfigurationParameter {
44      get { return (ScopeTreeLookupParameter<ParameterConfigurationTree>)Parameters["ParameterConfigurationTree"]; }
45    }
46    public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
47      get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
48    }
49    public LookupParameter<IRun> BestSolutionParameter {
50      get { return (LookupParameter<IRun>)Parameters["BestSolution"]; }
51    }
52    public ValueLookupParameter<ResultCollection> ResultsParameter {
53      get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
54    }
55    public LookupParameter<DoubleValue> BestKnownQualityParameter {
56      get { return (LookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
57    }
58    public LookupParameter<IRun> BestKnownSolutionParameter {
59      get { return (LookupParameter<IRun>)Parameters["BestKnownSolution"]; }
60    }
61    //public LookupParameter<RunCollection> PopulationParameter {
62    //  get { return (LookupParameter<RunCollection>)Parameters["Population"]; }
63    //}
64    public LookupParameter<BoolValue> MaximizationParameter {
65      get { return (LookupParameter<BoolValue>)Parameters["Maximization"]; }
66    }
67
68    #region Constructors and Cloning
69    public BestParameterConfigurationAnalyzer()
70      : base() {
71      Parameters.Add(new ScopeTreeLookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", ""));
72      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", ""));
73      Parameters.Add(new LookupParameter<IRun>("BestSolution", ""));
74      Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", ""));
75      Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", ""));
76      Parameters.Add(new LookupParameter<IRun>("BestKnownSolution", ""));
77      //Parameters.Add(new LookupParameter<RunCollection>("Population", ""));
78      Parameters.Add(new LookupParameter<BoolValue>("Maximization", "Set to false if the problem should be minimized."));
79    }
80
81    [StorableConstructor]
82    private BestParameterConfigurationAnalyzer(bool deserializing) : base(deserializing) { }
83    private BestParameterConfigurationAnalyzer(BestParameterConfigurationAnalyzer original, Cloner cloner) : base(original, cloner) { }
84    public override IDeepCloneable Clone(Cloner cloner) {
85      return new BestParameterConfigurationAnalyzer(this, cloner);
86    }
87    #endregion
88
89    public override IOperation Apply() {
90      ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
91      ResultCollection results = ResultsParameter.ActualValue;
92      DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;
93      ItemArray<ParameterConfigurationTree> parameterTrees = ParameterConfigurationParameter.ActualValue;
94      bool maximization = MaximizationParameter.ActualValue.Value;
95
96      int idxBest;
97      if (maximization)
98        idxBest = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).Last().index;
99      else
100        idxBest = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
101
102      ParameterConfigurationTree best = parameterTrees[idxBest];
103      IRun bestRun = new Run();
104      best.CollectResultValues(bestRun.Results);
105      best.CollectParameterValues(bestRun.Parameters);
106
107      if (bestKnownQuality == null ||
108        (!maximization && (qualities[idxBest].Value < bestKnownQuality.Value) ||
109        (maximization && (qualities[idxBest].Value > bestKnownQuality.Value)))) {
110        BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[idxBest].Value);
111
112        BestKnownSolutionParameter.ActualValue = bestRun;
113      }
114
115      if (BestSolutionParameter.ActualValue == null) {
116        BestSolutionParameter.ActualValue = bestRun;
117        results.Add(new Result("Best Parameter Settings", bestRun));
118      } else {
119        BestSolutionParameter.ActualValue = bestRun;
120        results["Best Parameter Settings"].Value = bestRun;
121      }
122
123      // population (TODO: extract into PopulationAnalyzer)
124      //int i = 0;
125      //RunCollection rc = new RunCollection();
126      //foreach (ParameterConfigurationTree pt in (maximization ? parameterTrees.OrderByDescending(x => x.Quality) : parameterTrees.OrderBy(x => x.Quality))) {
127      //  rc.Add(pt.ToRun(string.Format("Individual {0} ({1})", i, pt.ParameterInfoString), true));
128      //  i++;
129      //}
130      //if (PopulationParameter.ActualValue == null) {
131      //  PopulationParameter.ActualValue = rc;
132      //  results.Add(new Result("Population", rc));
133      //} else {
134      //  PopulationParameter.ActualValue = rc;
135      //  results["Population"].Value = rc;
136      //}
137
138      return base.Apply();
139    }
140  }
141}
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