[4839] | 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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[4832] | 5 | using HeuristicLab.Operators;
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| 6 | using HeuristicLab.Optimization;
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[4839] | 7 | using HeuristicLab.Parameters;
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[4832] | 8 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 9 |
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| 10 | namespace HeuristicLab.Problems.MetaOptimization {
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| 11 | /// <summary>
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[5359] | 12 | /// TODO
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[4832] | 13 | /// </summary>
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[5281] | 14 | [Item("BestParameterConfigurationAnalyzer", "")]
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[4832] | 15 | [StorableClass]
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| 16 | public sealed class BestParameterConfigurationAnalyzer : SingleSuccessorOperator, IAnalyzer {
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| 17 |
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[7173] | 18 | public bool EnabledByDefault {
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| 19 | get { return true; }
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| 20 | }
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| 21 |
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[5009] | 22 | public ScopeTreeLookupParameter<ParameterConfigurationTree> ParameterConfigurationParameter {
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| 23 | get { return (ScopeTreeLookupParameter<ParameterConfigurationTree>)Parameters["ParameterConfigurationTree"]; }
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[4832] | 24 | }
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| 25 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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| 26 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 27 | }
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[5009] | 28 | public LookupParameter<IRun> BestSolutionParameter {
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| 29 | get { return (LookupParameter<IRun>)Parameters["BestSolution"]; }
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[4832] | 30 | }
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| 31 | public ValueLookupParameter<ResultCollection> ResultsParameter {
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| 32 | get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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| 33 | }
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| 34 | public LookupParameter<DoubleValue> BestKnownQualityParameter {
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| 35 | get { return (LookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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| 36 | }
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[5009] | 37 | public LookupParameter<IRun> BestKnownSolutionParameter {
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| 38 | get { return (LookupParameter<IRun>)Parameters["BestKnownSolution"]; }
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[4832] | 39 | }
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[5009] | 40 | public LookupParameter<RunCollection> PopulationParameter {
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| 41 | get { return (LookupParameter<RunCollection>)Parameters["Population"]; }
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| 42 | }
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[5337] | 43 | public LookupParameter<ConstrainedItemList<IProblem>> ProblemsParameter {
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| 44 | get { return (LookupParameter<ConstrainedItemList<IProblem>>)Parameters[MetaOptimizationProblem.ProblemsParameterName]; }
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[5212] | 45 | }
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[6018] | 46 | public LookupParameter<BoolValue> MaximizationParameter {
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| 47 | get { return (LookupParameter<BoolValue>)Parameters["Maximization"]; }
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| 48 | }
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[5212] | 49 |
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[5087] | 50 | public BestParameterConfigurationAnalyzer()
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| 51 | : base() {
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[5281] | 52 | Parameters.Add(new ScopeTreeLookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", ""));
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| 53 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", ""));
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| 54 | Parameters.Add(new LookupParameter<IRun>("BestSolution", ""));
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| 55 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", ""));
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| 56 | Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", ""));
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| 57 | Parameters.Add(new LookupParameter<IRun>("BestKnownSolution", ""));
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| 58 | Parameters.Add(new LookupParameter<RunCollection>("Population", ""));
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[5337] | 59 | Parameters.Add(new LookupParameter<ConstrainedItemList<IProblem>>(MetaOptimizationProblem.ProblemsParameterName));
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[6018] | 60 | Parameters.Add(new LookupParameter<BoolValue>("Maximization", "Set to false if the problem should be minimized."));
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[4832] | 61 | }
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| 62 |
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| 63 | [StorableConstructor]
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| 64 | private BestParameterConfigurationAnalyzer(bool deserializing) : base(deserializing) { }
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| 65 | private BestParameterConfigurationAnalyzer(BestParameterConfigurationAnalyzer original, Cloner cloner) : base(original, cloner) { }
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| 66 | public override IDeepCloneable Clone(Cloner cloner) {
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| 67 | return new BestParameterConfigurationAnalyzer(this, cloner);
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| 68 | }
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| 69 |
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| 70 | public override IOperation Apply() {
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| 71 | ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
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| 72 | ResultCollection results = ResultsParameter.ActualValue;
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| 73 | DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;
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[5023] | 74 | ItemArray<ParameterConfigurationTree> parameterTrees = ParameterConfigurationParameter.ActualValue;
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[6018] | 75 | bool maximization = MaximizationParameter.ActualValue.Value;
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[4832] | 76 |
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[6018] | 77 | int idxBest;
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| 78 | if (maximization)
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| 79 | idxBest = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).Last().index;
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| 80 | else
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| 81 | idxBest = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
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[4832] | 82 |
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[5087] | 83 | ParameterConfigurationTree best = (ParameterConfigurationTree)parameterTrees[idxBest];
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| 84 | IRun bestRun = new Run();
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| 85 | best.CollectResultValues(bestRun.Results);
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| 86 | best.CollectParameterValues(bestRun.Parameters);
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| 87 |
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[7173] | 88 | if (bestKnownQuality == null ||
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[6018] | 89 | (!maximization && (qualities[idxBest].Value < bestKnownQuality.Value) ||
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| 90 | (maximization && (qualities[idxBest].Value > bestKnownQuality.Value)))) {
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[5087] | 91 | BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[idxBest].Value);
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| 92 |
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[5009] | 93 | BestKnownSolutionParameter.ActualValue = bestRun;
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[4832] | 94 | }
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| 95 |
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[5087] | 96 | if (BestSolutionParameter.ActualValue == null) {
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[5009] | 97 | BestSolutionParameter.ActualValue = bestRun;
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| 98 | results.Add(new Result("Best Parameter Settings", bestRun));
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| 99 | } else {
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| 100 | BestSolutionParameter.ActualValue = bestRun;
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| 101 | results["Best Parameter Settings"].Value = bestRun;
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| 102 | }
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[4832] | 103 |
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[6090] | 104 | // population (TODO: extract into PopulationAnalyzer)
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[5087] | 105 | int i = 0;
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[5009] | 106 | RunCollection rc = new RunCollection();
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[6018] | 107 | foreach (ParameterConfigurationTree pt in (maximization ? parameterTrees.OrderByDescending(x => x.Quality) : parameterTrees.OrderBy(x => x.Quality))) {
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[6197] | 108 | rc.Add(pt.ToRun(string.Format("Individual {0} ({1})", i, pt.ParameterInfoString), true));
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[5087] | 109 | i++;
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[5009] | 110 | }
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| 111 | if (PopulationParameter.ActualValue == null) {
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| 112 | PopulationParameter.ActualValue = rc;
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| 113 | results.Add(new Result("Population", rc));
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| 114 | } else {
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| 115 | PopulationParameter.ActualValue = rc;
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| 116 | results["Population"].Value = rc;
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| 117 | }
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| 118 |
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[4832] | 119 | return base.Apply();
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| 120 | }
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| 121 | }
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| 122 | }
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