Changeset 5212 for branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Analyzers/BestParameterConfigurationAnalyzer.cs

Timestamp:

01/05/11 02:03:20 (13 years ago)

Author:

cneumuel

Message:

#1215

• added normalization for quality values of individuals

File:

• branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Analyzers/BestParameterConfigurationAnalyzer.cs (modified) (5 diffs)

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

@@ -40 +40 @@
     }
 
+    // stores the medians of the qualities of each problem
+    public LookupParameter<DoubleArray> ProblemQualityMediansParameter {
+      get { return (LookupParameter<DoubleArray>)Parameters["ProblemQualityMedians"]; }
+    }
+    public LookupParameter<ConstrainedItemList<ISingleObjectiveProblem>> ProblemsParameter {
+      get { return (LookupParameter<ConstrainedItemList<ISingleObjectiveProblem>>)Parameters[MetaOptimizationProblem.ProblemsParameterName]; }
+    }
+
     public BestParameterConfigurationAnalyzer()
       : base() {
@@ -49 +57 @@
       Parameters.Add(new LookupParameter<IRun>("BestKnownSolution", "TODO The best known solution of this TSP instance."));
       Parameters.Add(new LookupParameter<RunCollection>("Population", "TODO The best known solution of this TSP instance."));
+      Parameters.Add(new LookupParameter<DoubleArray>("ProblemQualityMedians", ""));
+      Parameters.Add(new LookupParameter<ConstrainedItemList<ISingleObjectiveProblem>>(MetaOptimizationProblem.ProblemsParameterName));
     }
 
@@ -65 +75 @@
 
       int idxBest = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
-
 
       ParameterConfigurationTree best = (ParameterConfigurationTree)parameterTrees[idxBest];
@@ -87 +96 @@
 
       // population
-
       int i = 0;
       RunCollection rc = new RunCollection();
-      foreach (ParameterConfigurationTree pt in parameterTrees.OrderByDescending(x => x.BestQuality.Value)) { // todo: respect Maximization:true/false
+      foreach (ParameterConfigurationTree pt in parameterTrees.OrderBy(x => x.AverageQualityNormalized)) { // todo: respect Maximization:true/false
         IRun run = new Run();
         run.Name = string.Format("Individuum ({0})", i);
@@ -106 +114 @@
       }
 
+      // medians for the problems
+      DoubleArray medians = new DoubleArray(ProblemsParameter.ActualValue.Count);
+      for (int pi = 0; pi < ProblemsParameter.ActualValue.Count; pi++) {
+        double[] values = new double[rc.Count];
+        for (int ri = 0; ri < rc.Count; ri++) {
+          values[ri] = ((DoubleArray)rc.ElementAt(ri).Results["RunsAverageQualities"])[pi];
+        }
+        medians[pi] = values.Median();
+      }
+      ProblemQualityMediansParameter.ActualValue = medians;
+
+      if (results.ContainsKey("ProblemsAverageQualityMedians")) {
+        results["ProblemsAverageQualityMedians"].Value = medians;
+      } else {
+        results.Add(new Result("ProblemsAverageQualityMedians", medians));
+      }
+
       return base.Apply();
     }