1 | using System.Linq;
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2 | using HeuristicLab.Common;
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3 | using HeuristicLab.Core;
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4 | using HeuristicLab.Data;
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5 | using HeuristicLab.Operators;
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6 | using HeuristicLab.Optimization;
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7 | using HeuristicLab.Parameters;
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8 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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9 | using System.Collections.Generic;
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10 | using System;
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11 | using HeuristicLab.Analysis;
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12 |
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13 | namespace HeuristicLab.Problems.MetaOptimization {
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14 | /// <summary>
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15 | /// TODO
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16 | /// </summary>
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17 | [Item("PMOProblemQualitiesAnalyzer", "")]
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18 | [StorableClass]
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19 | public sealed class PMOProblemQualitiesAnalyzer : SingleSuccessorOperator, IAnalyzer {
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20 |
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21 | public ScopeTreeLookupParameter<ParameterConfigurationTree> ParameterConfigurationParameter {
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22 | get { return (ScopeTreeLookupParameter<ParameterConfigurationTree>)Parameters["ParameterConfigurationTree"]; }
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23 | }
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24 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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25 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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26 | }
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27 | public ValueLookupParameter<ResultCollection> ResultsParameter {
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28 | get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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29 | }
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30 | public LookupParameter<ConstrainedItemList<IProblem>> ProblemsParameter {
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31 | get { return (LookupParameter<ConstrainedItemList<IProblem>>)Parameters[MetaOptimizationProblem.ProblemsParameterName]; }
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32 | }
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33 |
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34 | public PMOProblemQualitiesAnalyzer()
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35 | : base() {
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36 | Parameters.Add(new ScopeTreeLookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", ""));
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37 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", ""));
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38 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", ""));
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39 | Parameters.Add(new LookupParameter<ConstrainedItemList<IProblem>>(MetaOptimizationProblem.ProblemsParameterName));
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40 | }
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41 |
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42 | [StorableConstructor]
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43 | private PMOProblemQualitiesAnalyzer(bool deserializing) : base(deserializing) { }
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44 | private PMOProblemQualitiesAnalyzer(PMOProblemQualitiesAnalyzer original, Cloner cloner) : base(original, cloner) { }
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45 | public override IDeepCloneable Clone(Cloner cloner) {
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46 | return new PMOProblemQualitiesAnalyzer(this, cloner);
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47 | }
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48 |
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49 | public override IOperation Apply() {
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50 | ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
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51 | ResultCollection results = ResultsParameter.ActualValue;
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52 | ItemArray<ParameterConfigurationTree> parameterTrees = ParameterConfigurationParameter.ActualValue;
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53 | int idxBest = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index; // todo: respect Min/Max
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54 | int idxWorst = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).Last().index;
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55 |
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56 | int problemCount = ProblemsParameter.ActualValue.Count;
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57 |
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58 | double[][] problemQualities = GetProblemQualities(parameterTrees, problemCount);
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59 |
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60 | for (int i = 0; i < problemCount; i++) {
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61 | DataTable problemQualitiesDataTable;
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62 | string resultKey = "Problem." + i;
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63 | if (!results.ContainsKey(resultKey)) {
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64 | problemQualitiesDataTable = new DataTable();
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65 | problemQualitiesDataTable.Name = resultKey + " Qualities";
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66 | results.Add(new Result(resultKey, problemQualitiesDataTable));
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67 | } else {
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68 | problemQualitiesDataTable = results[resultKey].Value as DataTable;
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69 | }
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70 |
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71 | AddValue(problemQualitiesDataTable, parameterTrees[idxBest].AverageQualities[i], "BestQuality", "BestQuality");
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72 | AddValue(problemQualitiesDataTable, problemQualities[i].Average(), "AverageQuality", "BestQuality");
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73 | AddValue(problemQualitiesDataTable, parameterTrees[idxWorst].AverageQualities[i], "WorstQuality", "BestQuality");
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74 | }
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75 |
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76 | return base.Apply();
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77 | }
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78 |
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79 | private static double[][] GetProblemQualities(ItemArray<ParameterConfigurationTree> parameterTrees, int problemCount) {
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80 | double[][] problemQualities = new double[problemCount][];
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81 | for (int i = 0; i < problemCount; i++) {
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82 | problemQualities[i] = new double[parameterTrees.Length];
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83 | for (int j = 0; j < parameterTrees.Length; j++) {
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84 | problemQualities[i][j] = parameterTrees[j].AverageQualities[i];
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85 | }
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86 | }
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87 | return problemQualities;
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88 | }
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89 |
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90 | private static void AddValue(DataTable table, double data, string name, string description) {
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91 | DataRow row;
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92 | table.Rows.TryGetValue(name, out row);
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93 | if (row == null) {
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94 | row = new DataRow(name, description);
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95 | row.Values.Add(data);
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96 | table.Rows.Add(row);
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97 | } else {
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98 | row.Values.Add(data);
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99 | }
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100 | }
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101 | }
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102 | }
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