[10072] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Common;
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[10263] | 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Parameters;
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[10072] | 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[10073] | 26 | using HeuristicLab.Problems.DataAnalysis;
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| 27 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.GrammaticalEvolution {
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[10072] | 30 | [StorableClass]
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[10263] | 31 | public class GESymbolicRegressionSingleObjectiveEvaluator : GESymbolicDataAnalysisSingleObjectiveEvaluator<IRegressionProblemData>,
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[10276] | 32 | IGESymbolicRegressionSingleObjectiveEvaluator {
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[10263] | 33 |
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| 34 | public const string EvaluatorParameterName = "Evaluator";
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| 35 | public IValueParameter<ISymbolicRegressionSingleObjectiveEvaluator> EvaluatorParameter {
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| 36 | get { return (IValueParameter<ISymbolicRegressionSingleObjectiveEvaluator>)Parameters[EvaluatorParameterName]; }
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| 37 | }
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| 38 |
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| 39 | private ISymbolicRegressionSingleObjectiveEvaluator Evaluator {
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| 40 | get { return EvaluatorParameter.Value; }
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| 41 | }
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| 42 |
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[10072] | 43 | [StorableConstructor]
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[10073] | 44 | protected GESymbolicRegressionSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }
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| 45 | protected GESymbolicRegressionSingleObjectiveEvaluator(GESymbolicRegressionSingleObjectiveEvaluator original, Cloner cloner) : base(original, cloner) { }
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[10263] | 46 | public GESymbolicRegressionSingleObjectiveEvaluator()
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| 47 | : base() {
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| 48 | Parameters.Add(new ValueParameter<ISymbolicRegressionSingleObjectiveEvaluator>(EvaluatorParameterName, "The symbolic regression evaluator that should be used to assess the quality of trees.", new SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator()));
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| 49 | }
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| 50 |
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| 51 | public override IDeepCloneable Clone(Cloner cloner) {
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| 52 | return new GESymbolicRegressionSingleObjectiveEvaluator(this, cloner);
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| 53 | }
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| 54 |
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| 55 | public override bool Maximization {
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| 56 | get { return Evaluator.Maximization; }
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| 57 | }
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| 58 |
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| 59 | public override IOperation Apply() {
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| 60 | var genotype = IntegerVectorParameter.ActualValue;
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| 61 |
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| 62 | // translate to phenotype
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| 63 | var tree = GenotypeToPhenotypeMapperParameter.ActualValue.Map(
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| 64 | SymbolicExpressionTreeGrammarParameter.ActualValue,
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| 65 | genotype
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| 66 | );
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| 67 | SymbolicExpressionTreeParameter.ActualValue = tree; // write to scope for analyzers
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| 68 |
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| 69 | // create operation for evaluation
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| 70 | var evalOp = ExecutionContext.CreateChildOperation(Evaluator);
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| 71 | var successorOp = base.Apply();
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| 72 |
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| 73 | return new OperationCollection(evalOp, successorOp);
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| 74 | }
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[10072] | 75 | }
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| 76 | }
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