Changeset 5281 for branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Analyzers

Timestamp:

01/11/11 17:55:30 (13 years ago)

Author:

cneumuel

Message:

#1215

• fixed normalization problems in first generation and with elites

Location:

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

Files:

• BestParameterConfigurationAnalyzer.cs (modified) (4 diffs)
• MedianQualityAnalyzer.cs (added)

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

@@ -14 +14 @@
   /// TODO An operator for analyzing the best solution of Traveling Salesman Problems given in path representation using city coordinates.
   /// </summary>
-  [Item("BestParameterConfigurationAnalyzer", "TODO An operator for analyzing the best solution of Traveling Salesman Problems given in path representation using city coordinates.")]
+  [Item("BestParameterConfigurationAnalyzer", "")]
   [StorableClass]
   public sealed class BestParameterConfigurationAnalyzer : SingleSuccessorOperator, IAnalyzer {
@@ -39 +39 @@
       get { return (LookupParameter<RunCollection>)Parameters["Population"]; }
     }
-
-    // stores the medians of the qualities of each problem
     public LookupParameter<DoubleArray> ProblemQualityMediansParameter {
       get { return (LookupParameter<DoubleArray>)Parameters["ProblemQualityMedians"]; }
@@ -50 +48 @@
     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."));
-      Parameters.Add(new LookupParameter<IRun>("BestSolution", "TODO The best TSP solution."));
-      Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "TODO The result collection where the best TSP solution should be stored."));
-      Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "TODO The quality of the best known solution of this TSP instance."));
-      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 ScopeTreeLookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", ""));
+      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", ""));
+      Parameters.Add(new LookupParameter<IRun>("BestSolution", ""));
+      Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", ""));
+      Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", ""));
+      Parameters.Add(new LookupParameter<IRun>("BestKnownSolution", ""));
+      Parameters.Add(new LookupParameter<RunCollection>("Population", ""));
       Parameters.Add(new LookupParameter<DoubleArray>("ProblemQualityMedians", ""));
       Parameters.Add(new LookupParameter<ConstrainedItemList<ISingleObjectiveProblem>>(MetaOptimizationProblem.ProblemsParameterName));
@@ -114 +112 @@
       }
 
-      // 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();
     }