Changeset 1201 for branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification/StandardGP.cs

Timestamp:

02/04/09 22:44:07 (15 years ago)

Author:

gkronber

Message:

implemented hard-coded GP with offspring selection for regression problems. #224 (Simple frontend for GP for non-expert users (similar to HeurisicLab.SGA))

File:

• branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification/StandardGP.cs (modified) (4 diffs)

branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification/StandardGP.cs

@@ -136 +136 @@
       randomInjector.Name = "Random Injector";
       VariableInjector globalInjector = CreateGlobalInjector();
-      CombinedOperator initialization = CreateInialization();
+      CombinedOperator initialization = CreateInitialization();
       initialization.Name = "Initialization";
       FunctionLibraryInjector funLibInjector = new FunctionLibraryInjector();
@@ -247 +247 @@
     }
 
-    private CombinedOperator CreateInialization() {
+    private CombinedOperator CreateInitialization() {
       CombinedOperator init = new CombinedOperator();
       SequentialProcessor seq = new SequentialProcessor();
@@ -266 +266 @@
       Counter evalCounter = new Counter();
       evalCounter.GetVariableInfo("Value").ActualName = "EvaluatedSolutions";
+      Sorter sorter = new Sorter();
+      sorter.GetVariableInfo("Descending").ActualName = "Maximization";
+      sorter.GetVariableInfo("Value").ActualName = "Quality";
 
       seq.AddSubOperator(subScopesCreater);
       seq.AddSubOperator(subScopesProc);
+      seq.AddSubOperator(sorter);
+
       subScopesProc.AddSubOperator(individualSeq);
       individualSeq.AddSubOperator(treeCreater);
@@ -344 +349 @@
       SequentialProcessor bestSolutionProcessor = new SequentialProcessor();
       MeanAbsolutePercentageErrorEvaluator trainingMapeEvaluator = new MeanAbsolutePercentageErrorEvaluator();
-      trainingMapeEvaluator.Name = "ValidationMapeEvaluator";
+      trainingMapeEvaluator.Name = "TrainingMapeEvaluator";
       trainingMapeEvaluator.GetVariableInfo("MAPE").ActualName = "TrainingMAPE";
       trainingMapeEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";