1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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 HEAL.Attic;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Optimization;
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27 | using HeuristicLab.Parameters;
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28 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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29 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
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30 |
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31 | namespace HeuristicLab.OSGAEvaluator {
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32 | [Item("AdjustedEvaluatedSolutionsAnalyzer", "Analyzer which aggregates the adjusted evaluated solutions count from the predictive evaluator.")]
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33 | [StorableType("791A5594-FC15-41AF-9D06-86D1313C4C8B")]
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34 | public class AdjustedEvaluatedSolutionsAnalyzer : SymbolicDataAnalysisSingleObjectiveAnalyzer {
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35 | private const string EvaluatorParameterName = "Evaluator";
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36 | private const string AdjustedEvaluatedSolutionsResultName = "AdjustedEvaluatedSolutions";
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37 |
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38 | public ILookupParameter<SymbolicRegressionSingleObjectiveEvaluator> EvaluatorParameter {
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39 | get { return (ILookupParameter<SymbolicRegressionSingleObjectiveEvaluator>)Parameters[EvaluatorParameterName]; }
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40 | }
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41 |
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42 | public SymbolicRegressionSingleObjectiveEvaluator Evaluator {
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43 | get { return EvaluatorParameter.ActualValue; }
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44 | }
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45 |
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46 | public AdjustedEvaluatedSolutionsAnalyzer() {
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47 | Parameters.Add(new LookupParameter<SymbolicRegressionSingleObjectiveEvaluator>(EvaluatorParameterName));
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48 | }
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49 |
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50 | [StorableConstructor]
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51 | protected AdjustedEvaluatedSolutionsAnalyzer(StorableConstructorFlag _) : base(_) { }
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52 |
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53 | protected AdjustedEvaluatedSolutionsAnalyzer(AdjustedEvaluatedSolutionsAnalyzer original, Cloner cloner) : base(original, cloner) { }
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54 |
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55 | public override IDeepCloneable Clone(Cloner cloner) {
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56 | return new AdjustedEvaluatedSolutionsAnalyzer(this, cloner);
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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 evaluator = Evaluator as SymbolicRegressionSingleObjectiveOsgaEvaluator;
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61 |
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62 | if (evaluator == null)
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63 | return base.Apply();
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64 |
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65 | var results = ResultCollectionParameter.ActualValue;
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66 | if (!results.ContainsKey(AdjustedEvaluatedSolutionsResultName)) {
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67 | results.Add(new Result(AdjustedEvaluatedSolutionsResultName, new DoubleValue(0)));
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68 | }
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69 | var adjustedEvaluatedSolutions = (DoubleValue)results[AdjustedEvaluatedSolutionsResultName].Value;
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70 | adjustedEvaluatedSolutions.Value += evaluator.AdjustedEvaluatedSolutions;
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71 | evaluator.AdjustedEvaluatedSolutions = 0;
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72 |
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73 | return base.Apply();
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74 | }
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75 | }
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76 | }
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