1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Operators;
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26 | using HeuristicLab.Optimization;
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27 | using HeuristicLab.Parameters;
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28 | using HEAL.Attic;
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29 |
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30 | namespace HeuristicLab.Analysis.QualityAnalysis {
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31 | [Item("ScaledQualityDifferenceAnalyzer", @"Calculates the quality value relative to a certain range given with a minimum and a maximum value.
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32 | The difference lies in the interval [0;1] if the range [min;max] is as large as the observed quality values, otherwise the difference will become < 0 or > 1.
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33 | A value towards 0 always means that it's closer to the better fitness value, while a value towards 1 means that it's closer to the worse fitness value.")]
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34 | [StorableType("C0E9AE9C-06F8-4A5F-A726-6532F0E038CF")]
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35 | public class ScaledQualityDifferenceAnalyzer : SingleSuccessorOperator, IAnalyzer, ISingleObjectiveOperator {
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36 | public virtual bool EnabledByDefault {
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37 | get { return true; }
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38 | }
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39 |
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40 | public ILookupParameter<DoubleValue> QualityParameter {
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41 | get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
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42 | }
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43 | public ILookupParameter<BoolValue> MaximizationParameter {
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44 | get { return (ILookupParameter<BoolValue>)Parameters["Maximization"]; }
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45 | }
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46 | public ILookupParameter<DoubleValue> ScaledDifferenceParameter {
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47 | get { return (ILookupParameter<DoubleValue>)Parameters["ScaledDifference"]; }
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48 | }
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49 | public ILookupParameter<ResultCollection> ResultsParameter {
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50 | get { return (ILookupParameter<ResultCollection>)Parameters["Results"]; }
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51 | }
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52 | public IValueLookupParameter<DoubleValue> MinimumQualityParameter {
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53 | get { return (IValueLookupParameter<DoubleValue>)Parameters["MinimumQuality"]; }
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54 | }
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55 | public IValueLookupParameter<DoubleValue> MaximumQualityParameter {
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56 | get { return (IValueLookupParameter<DoubleValue>)Parameters["MaximumQuality"]; }
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57 | }
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58 |
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59 | [StorableConstructor]
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60 | protected ScaledQualityDifferenceAnalyzer(StorableConstructorFlag _) : base(_) { }
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61 | protected ScaledQualityDifferenceAnalyzer(ScaledQualityDifferenceAnalyzer original, Cloner cloner) : base(original, cloner) { }
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62 | public ScaledQualityDifferenceAnalyzer()
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63 | : base() {
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64 | Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality value that should be compared."));
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65 | Parameters.Add(new LookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, false otherwise."));
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66 | Parameters.Add(new LookupParameter<DoubleValue>("ScaledDifference", "The value that describes whether the quality value lies towards the better quality in the range (<=0.5) or more towards the worse quality (> 0.5)."));
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67 | Parameters.Add(new LookupParameter<ResultCollection>("Results", "The result collection where the difference will be stored (in addition to the scope)."));
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68 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MinimumQuality", "The lower bound of the quality range to which the quality is compared."));
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69 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumQuality", "The upper bound of the quality range to which the quality is compared."));
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70 | }
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71 |
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72 | public override IDeepCloneable Clone(Cloner cloner) {
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73 | return new ScaledQualityDifferenceAnalyzer(this, cloner);
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74 | }
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75 |
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76 | public override IOperation Apply() {
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77 | bool maximization = MaximizationParameter.ActualValue.Value;
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78 | double quality = QualityParameter.ActualValue.Value, max = MaximumQualityParameter.ActualValue.Value, min = MinimumQualityParameter.ActualValue.Value;
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79 | double difference;
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80 |
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81 | difference = ((quality - min) / (max - min));
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82 | if (maximization) difference = 1.0 - difference;
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83 |
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84 | DoubleValue differenceValue = ScaledDifferenceParameter.ActualValue;
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85 | if (differenceValue == null) {
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86 | differenceValue = new DoubleValue(difference);
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87 | ScaledDifferenceParameter.ActualValue = differenceValue;
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88 | } else differenceValue.Value = difference;
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89 |
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90 | ResultCollection results = ResultsParameter.ActualValue;
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91 | if (results != null) {
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92 | IResult r;
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93 | if (!results.TryGetValue(ScaledDifferenceParameter.TranslatedName, out r)) {
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94 | r = new Result(ScaledDifferenceParameter.TranslatedName, differenceValue);
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95 | results.Add(r);
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96 | }
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97 | }
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98 |
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99 | return base.Apply();
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100 | }
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101 | }
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102 | }
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