source: branches/GrammaticalEvolution/HeuristicLab.Problems.GrammaticalEvolution/Symbolic/GESymbolicRegressionSingleObjectiveEvaluator.cs @ 10276

Last change on this file since 10276 was 10276, checked in by sawinkle, 9 years ago

#2109:
Refactoring:

  • Removed recursive version of mapping in /Mappers/DepthFirstMapper.cs, because only the iterative one is used.
  • Removed unused using statements and unused commented code.
File size: 3.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Parameters;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Problems.DataAnalysis;
27using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
28
29namespace HeuristicLab.Problems.GrammaticalEvolution {
30  [StorableClass]
31  public class GESymbolicRegressionSingleObjectiveEvaluator : GESymbolicDataAnalysisSingleObjectiveEvaluator<IRegressionProblemData>,
32                                                              IGESymbolicRegressionSingleObjectiveEvaluator {
33
34    public const string EvaluatorParameterName = "Evaluator";
35    public IValueParameter<ISymbolicRegressionSingleObjectiveEvaluator> EvaluatorParameter {
36      get { return (IValueParameter<ISymbolicRegressionSingleObjectiveEvaluator>)Parameters[EvaluatorParameterName]; }
37    }
38
39    private ISymbolicRegressionSingleObjectiveEvaluator Evaluator {
40      get { return EvaluatorParameter.Value; }
41    }
42
43    [StorableConstructor]
44    protected GESymbolicRegressionSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }
45    protected GESymbolicRegressionSingleObjectiveEvaluator(GESymbolicRegressionSingleObjectiveEvaluator original, Cloner cloner) : base(original, cloner) { }
46    public GESymbolicRegressionSingleObjectiveEvaluator()
47      : base() {
48      Parameters.Add(new ValueParameter<ISymbolicRegressionSingleObjectiveEvaluator>(EvaluatorParameterName, "The symbolic regression evaluator that should be used to assess the quality of trees.", new SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator()));
49    }
50
51    public override IDeepCloneable Clone(Cloner cloner) {
52      return new GESymbolicRegressionSingleObjectiveEvaluator(this, cloner);
53    }
54
55    public override bool Maximization {
56      get { return Evaluator.Maximization; }
57    }
58
59    public override IOperation Apply() {
60      var genotype = IntegerVectorParameter.ActualValue;
61
62      // translate to phenotype
63      var tree = GenotypeToPhenotypeMapperParameter.ActualValue.Map(
64        SymbolicExpressionTreeGrammarParameter.ActualValue,
65        genotype
66      );
67      SymbolicExpressionTreeParameter.ActualValue = tree; // write to scope for analyzers
68
69      // create operation for evaluation
70      var evalOp = ExecutionContext.CreateChildOperation(Evaluator);
71      var successorOp = base.Apply();
72
73      return new OperationCollection(evalOp, successorOp);
74    }
75  }
76}
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