Changeset 5087 for branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Analyzers

Timestamp:

12/12/10 11:34:13 (14 years ago)

Author:

cneumuel

Message:

#1215

• enabled multiple problems
• enabled n repetitions
• improved results output
• reduced memory footprint significantly
• removed viewhost icons for less screen space waste

File:

• branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Analyzers/BestParameterConfigurationAnalyzer.cs (modified) (3 diffs)

branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Analyzers/BestParameterConfigurationAnalyzer.cs

@@ -40 +40 @@
     }
 
-    public BestParameterConfigurationAnalyzer() : base() {
+    public BestParameterConfigurationAnalyzer()
+      : base() {
       Parameters.Add(new ScopeTreeLookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", "TODO The TSP solutions given in path representation from which the best solution should be analyzed."));
       Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "TODO The qualities of the TSP solutions which should be analyzed."));
@@ -63 +64 @@
       ItemArray<ParameterConfigurationTree> parameterTrees = ParameterConfigurationParameter.ActualValue;
 
-      int i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
+      int idxBest = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
 
-      EngineAlgorithm bestAlg = ((EngineAlgorithm)((ParameterConfigurationTree)parameterTrees[i]).ActualValue.Value);
-      Run bestRun = new Run(bestAlg);
-      ((ParameterConfigurationTree)parameterTrees[i]).CollectResultValues(bestRun.Results);
 
-      if (bestKnownQuality == null || qualities[i].Value < bestKnownQuality.Value) { // todo: respect Maximization:true/false
-        BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
+      ParameterConfigurationTree best = (ParameterConfigurationTree)parameterTrees[idxBest];
+      IRun bestRun = new Run();
+      best.CollectResultValues(bestRun.Results);
+      best.CollectParameterValues(bestRun.Parameters);
+
+      if (bestKnownQuality == null || qualities[idxBest].Value < bestKnownQuality.Value) { // todo: respect Maximization:true/false
+        BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[idxBest].Value);
+
         BestKnownSolutionParameter.ActualValue = bestRun;
       }
 
-      IRun best = BestSolutionParameter.ActualValue;
-      if (best == null) {
+      if (BestSolutionParameter.ActualValue == null) {
         BestSolutionParameter.ActualValue = bestRun;
         results.Add(new Result("Best Parameter Settings", bestRun));
@@ -84 +87 @@
 
       // population
+
+      int i = 0;
       RunCollection rc = new RunCollection();
       foreach (ParameterConfigurationTree pt in parameterTrees.OrderByDescending(x => x.BestQuality.Value)) { // todo: respect Maximization:true/false
-        IAlgorithm alg = (IAlgorithm)pt.ActualValue.Value;
-        alg.StoreAlgorithmInEachRun = false;
-        IRun run = new Run(alg);
+        IRun run = new Run();
+        run.Name = string.Format("Individuum ({0})", i);
         pt.CollectResultValues(run.Results);
+        pt.CollectParameterValues(run.Parameters);
         rc.Add(run);
+        i++;
       }
       if (PopulationParameter.ActualValue == null) {