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source: branches/gp-algorithms-refactoring-#720/sources/HeuristicLab.GP.StructureIdentification/3.3/OffspringSelectionGP.cs @ 2335

Last change on this file since 2335 was 2335, checked in by gkronber, 15 years ago

Worked on #720:

  • finished AlgorithmBase
  • fixed skeletons for generic StandardGP and OffspringSelectionGP
  • implemented OffspringSelectionGP and StandardGP for HL.GP.StructureIdentification
File size: 6.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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 HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Evolutionary;
27using HeuristicLab.Logging;
28using HeuristicLab.Operators;
29using HeuristicLab.Selection;
30using HeuristicLab.Selection.OffspringSelection;
31using HeuristicLab.Modeling;
32
33namespace HeuristicLab.GP.StructureIdentification {
34  public class OffspringSelectionGP : HeuristicLab.GP.Algorithms.OffspringSelectionGP {
35    public override string Name { get { return "OffspringSelectionGP - StructureIdentification"; } }
36
37    public virtual double PunishmentFactor {
38      get { return GetVariableInjector().GetVariable("PunishmentFactor").GetValue<DoubleData>().Data; }
39      set { GetVariableInjector().GetVariable("PunishmentFactor").GetValue<DoubleData>().Data = value; }
40    }
41
42    public OffspringSelectionGP()
43      : base() {
44      PunishmentFactor = 10.0;
45    }
46
47    protected override IOperator CreateFunctionLibraryInjector() {
48      CombinedOperator op = new CombinedOperator();
49      op.Name = "FunctionLibraryInjector";
50      SequentialProcessor seq = new SequentialProcessor();     
51      seq.AddSubOperator(new FunctionLibraryInjector());
52      seq.AddSubOperator(new HL2TreeEvaluatorInjector());
53      op.OperatorGraph.AddOperator(seq);
54      op.OperatorGraph.InitialOperator = seq;
55      return op;
56    }
57
58    protected override IOperator CreateProblemInjector() {
59      return new ProblemInjector();
60    }
61
62    protected override IOperator CreateInitialPopulationEvaluator() {
63      MeanSquaredErrorEvaluator eval = new MeanSquaredErrorEvaluator();
64      eval.Name = "Evaluator";
65      eval.GetVariableInfo("MSE").ActualName = "Quality";
66      eval.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
67      eval.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
68      return eval;
69    }
70
71    protected override IOperator CreateEvaluationOperator() {
72      return CreateInitialPopulationEvaluator();
73    }
74
75
76    protected override IOperator CreateGenerationStepHook() {
77      CombinedOperator op = new CombinedOperator();
78      SequentialProcessor seq = new SequentialProcessor();
79      UniformSequentialSubScopesProcessor subScopesProc = new UniformSequentialSubScopesProcessor();
80      SequentialProcessor individualProc = new SequentialProcessor();
81      MeanSquaredErrorEvaluator validationEvaluator = new MeanSquaredErrorEvaluator();
82      validationEvaluator.Name = "ValidationEvaluator";
83      validationEvaluator.GetVariableInfo("MSE").ActualName = "ValidationQuality";
84      validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
85      validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
86
87      individualProc.AddSubOperator(validationEvaluator);
88
89      BestSolutionStorer solutionStorer = new BestSolutionStorer();
90      solutionStorer.GetVariableInfo("BestSolution").ActualName = "BestValidationSolution";
91      solutionStorer.GetVariableInfo("Quality").ActualName = "ValidationQuality";
92
93      BestAverageWorstQualityCalculator validationQualityCalculator = new BestAverageWorstQualityCalculator();
94      validationQualityCalculator.Name = "BestAverageWorstValidationQualityCalculator";
95      validationQualityCalculator.GetVariableInfo("Quality").ActualName = "ValidationQuality";
96      validationQualityCalculator.GetVariableInfo("BestQuality").ActualName = "BestValidationQuality";
97      validationQualityCalculator.GetVariableInfo("AverageQuality").ActualName = "AverageValidationQuality";
98      validationQualityCalculator.GetVariableInfo("WorstQuality").ActualName = "WorstValidationQuality";
99
100      subScopesProc.AddSubOperator(individualProc);
101
102      seq.AddSubOperator(subScopesProc);
103      seq.AddSubOperator(solutionStorer);
104      seq.AddSubOperator(validationQualityCalculator);
105
106      op.OperatorGraph.AddOperator(seq);
107      op.OperatorGraph.InitialOperator = seq;
108      return op;
109    }
110
111    protected override VariableInjector CreateGlobalInjector() {
112      VariableInjector injector = base.CreateGlobalInjector();
113      injector.AddVariable(new HeuristicLab.Core.Variable("UseEstimatedTargetValue", new BoolData()));
114      injector.AddVariable(new HeuristicLab.Core.Variable("PunishmentFactor", new DoubleData()));
115      return injector;
116    }
117
118    protected override IOperator CreateLoggingOperator() {
119      CombinedOperator loggingOperator = new CombinedOperator();
120      loggingOperator.Name = "Logging";
121      SequentialProcessor seq = new SequentialProcessor();
122
123      DataCollector collector = new DataCollector();
124      ItemList<StringData> names = collector.GetVariable("VariableNames").GetValue<ItemList<StringData>>();
125      names.Add(new StringData("BestQuality"));
126      names.Add(new StringData("AverageQuality"));
127      names.Add(new StringData("WorstQuality"));
128      names.Add(new StringData("BestValidationQuality"));
129      names.Add(new StringData("AverageValidationQuality"));
130      names.Add(new StringData("WorstValidationQuality"));
131      names.Add(new StringData("EvaluatedSolutions"));
132      names.Add(new StringData("SelectionPressure"));
133      QualityLogger qualityLogger = new QualityLogger();
134      QualityLogger validationQualityLogger = new QualityLogger();
135      validationQualityLogger.GetVariableInfo("Quality").ActualName = "ValidationQuality";
136      validationQualityLogger.GetVariableInfo("QualityLog").ActualName = "ValidationQualityLog";
137      seq.AddSubOperator(collector);
138      seq.AddSubOperator(qualityLogger);
139      seq.AddSubOperator(validationQualityLogger);
140
141      loggingOperator.OperatorGraph.AddOperator(seq);
142      loggingOperator.OperatorGraph.InitialOperator = seq;
143      return loggingOperator;
144    }
145
146    public override object Clone(IDictionary<Guid, object> clonedObjects) {
147      OffspringSelectionGP clone = (OffspringSelectionGP)base.Clone(clonedObjects);
148      clone.PunishmentFactor = PunishmentFactor;
149      return clone;
150    }
151  }
152}
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