Changeset 12422 for trunk/sources/HeuristicLab.Problems.GrammaticalEvolution

Timestamp:

06/10/15 11:29:34 (10 years ago)

Author:

mkommend

Message:

#2320: Merged the encoding class and all accompanying changes in the trunk.

Location:

trunk/sources/HeuristicLab.Problems.GrammaticalEvolution

Files:

• . (modified) (1 prop)
• 3.3/ArtificialAnt/GEArtificialAntEvaluator.cs (modified) (3 diffs)
• 3.3/Mappers/GenotypeToPhenotypeMapper.cs (modified) (2 diffs)
• 3.3/Mappers/RandomMapper.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Problems.GrammaticalEvolution/3.3/ArtificialAnt/GEArtificialAntEvaluator.cs ¶

@@ -49 +49 @@
     }
     // phenotype:
-    public ILookupParameter<SymbolicExpressionTree> SymbolicExpressionTreeParameter {
-      get { return (ILookupParameter<SymbolicExpressionTree>)Parameters["SymbolicExpressionTree"]; }
+    public ILookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter {
+      get { return (ILookupParameter<ISymbolicExpressionTree>)Parameters["SymbolicExpressionTree"]; }
     }
     public ILookupParameter<BoolMatrix> WorldParameter {
@@ -84 +84 @@
       Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality of the evaluated artificial ant solution."));
       Parameters.Add(new LookupParameter<IntegerVector>("IntegerVector", "The artificial ant solution encoded as an integer vector genome."));
-      Parameters.Add(new LookupParameter<SymbolicExpressionTree>("SymbolicExpressionTree", "The artificial ant solution encoded as a symbolic expression tree that should be evaluated"));
+      Parameters.Add(new LookupParameter<ISymbolicExpressionTree>("SymbolicExpressionTree", "The artificial ant solution encoded as a symbolic expression tree that should be evaluated"));
       Parameters.Add(new LookupParameter<BoolMatrix>("World", "The world for the artificial ant with scattered food items."));
       Parameters.Add(new LookupParameter<IntValue>("MaxTimeSteps", "The maximal number of time steps that the artificial ant should be simulated."));
@@ -93 +93 @@
       Parameters.Add(new LookupParameter<IntMatrix>("Bounds", "The integer number range in which the single genomes of a genotype are created."));
       Parameters.Add(new LookupParameter<IntValue>("MaximumExpressionLength", "Maximal length of the expression to control the artificial ant (genotype length)."));
+    }
+
+    [StorableHook(HookType.AfterDeserialization)]
+    private void AfterDeserialization() {
+      // BackwardsCompatibility3.3
+      #region Backwards compatible code, remove with 3.4
+
+      if (Parameters.ContainsKey("SymbolicExpressionTree") &&
+          Parameters["SymbolicExpressionTree"] is ILookupParameter<SymbolicExpressionTree>) {
+        Parameters.Remove("SymbolicExpressionTree");
+        Parameters.Add(new LookupParameter<ISymbolicExpressionTree>("SymbolicExpressionTree", "The artificial ant solution encoded as a symbolic expression tree that should be evaluated"));
+      }
+
+      #endregion
+
     }
 

trunk/sources/HeuristicLab.Problems.GrammaticalEvolution/3.3/Mappers/GenotypeToPhenotypeMapper.cs ¶

@@ -31 +31 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 using HeuristicLab.Problems.GrammaticalEvolution.Mappers;
+using HeuristicLab.Random;
 
 namespace HeuristicLab.Problems.GrammaticalEvolution {
@@ -68 +69 @@
       if (!possibleSymbolsList.Any()) return null;
 
-      var newNode = possibleSymbolsList.SelectRandom(random).CreateTreeNode();
+      var newNode = possibleSymbolsList.SampleRandom(random).CreateTreeNode();
       if (newNode.HasLocalParameters) newNode.ResetLocalParameters(random);
       return newNode;

trunk/sources/HeuristicLab.Problems.GrammaticalEvolution/3.3/Mappers/RandomMapper.cs ¶

@@ -29 +29 @@
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Random;
 
 namespace HeuristicLab.Problems.GrammaticalEvolution {
@@ -102 +103 @@
         } else {
           // similar to PIGEMapper, but here the current node is determined randomly ...
-          ISymbolicExpressionTreeNode current = nonTerminals.SelectRandom(random);
+          ISymbolicExpressionTreeNode current = nonTerminals.SampleRandom(random);
           nonTerminals.Remove(current);