Changeset 11681 for branches/Parameter-less Population Pyramid

Timestamp:

12/12/14 20:50:13 (10 years ago)

Author:

bgoldman

Message:

#2282 Added plots for the number of solutions being stored and the total number of levels in the pyramid.

File:

• branches/Parameter-less Population Pyramid/HeuristicLab.Algorithms.ParameterlessPopulationPyramid/3.3/ParameterlessPopulationPyramid.cs (modified) (5 diffs)

branches/Parameter-less Population Pyramid/HeuristicLab.Algorithms.ParameterlessPopulationPyramid/3.3/ParameterlessPopulationPyramid.cs

@@ -47 +47 @@
     // Tracks all solutions in Pyramid for quick membership checks
     private HashSet<bool[]> seen = new HashSet<bool[]>(new EnumerableBoolEqualityComparer());
-    
+
     #region ParameterNames
     private const string MaximumIterationsParameterName = "Maximum Iterations";
@@ -54 +54 @@
     private const string SetSeedRandomlyParameterName = "SetSeedRandomly";
     #endregion
-    
+
     #region ParameterProperties
     public IFixedValueParameter<IntValue> MaximumIterationsParameter {
@@ -126 +126 @@
     private DataRow ResultsQualitiesIteration {
       get { return ResultsQualities.Rows["Iteration Quality"]; }
+    }
+
+
+    private DataRow ResultsLevels {
+      get { return ((DataTable)Results["Pyramid Levels"].Value).Rows["Levels"]; }
+    }
+
+    private DataRow ResultsSolutions {
+      get { return ((DataTable)Results["Stored Solutions"].Value).Rows["Solutions"]; }
     }
     #endregion
@@ -202 +211 @@
       Results.Add(new Result("Qualities", table));
 
+      table = new DataTable("Pyramid Levels");
+      table.Rows.Add(new DataRow("Levels"));
+      Results.Add(new Result("Pyramid Levels", table));
+
+      table = new DataTable("Stored Solutions");
+      table.Rows.Add(new DataRow("Solutions"));
+      Results.Add(new Result("Stored Solutions", table));
+
       // Loop until iteration limit reached or canceled.
       for (ResultsIterations = 0; ResultsIterations < MaximumIterations; ResultsIterations++) {
@@ -219 +236 @@
           ResultsQualitiesBest.Values.Add(tracker.BestQuality);
           ResultsQualitiesIteration.Values.Add(fitness);
+          ResultsLevels.Values.Add(pyramid.Count);
+          ResultsSolutions.Values.Add(seen.Count);
         }
       }