Changeset 617 for trunk/sources/HeuristicLab.StructureIdentification

Timestamp:

10/02/08 00:10:14 (16 years ago)

Author:

gkronber

Message:

renamed the crossover operator that we used as default in HL2 and HL3 to StandardCrossOver and implemented SizeFairCrossOver (#108)

Location:

trunk/sources/HeuristicLab.StructureIdentification

Files:

• HeuristicLab.StructureIdentification.csproj (modified) (2 diffs)
• Recombination/SizeFairCrossOver.cs (modified) (2 diffs)
• Recombination/StandardCrossOver.cs (added)

trunk/sources/HeuristicLab.StructureIdentification/HeuristicLab.StructureIdentification.csproj

@@ -3 +3 @@
     <Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
     <Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
-    <ProductVersion>9.0.30729</ProductVersion>
+    <ProductVersion>9.0.21022</ProductVersion>
     <SchemaVersion>2.0</SchemaVersion>
     <ProjectGuid>{5948F299-0A5E-43B9-8F17-2D15298EEC34}</ProjectGuid>
@@ -101 +101 @@
     <Compile Include="Properties\AssemblyInfo.cs" />
     <Compile Include="RampedTreeCreator.cs" />
+    <Compile Include="Recombination\StandardCrossOver.cs" />
     <Compile Include="Recombination\SizeFairCrossOver.cs" />
     <Compile Include="TreeGardener.cs" />

trunk/sources/HeuristicLab.StructureIdentification/Recombination/SizeFairCrossOver.cs

@@ -33 +33 @@
 
 namespace HeuristicLab.StructureIdentification {
+  /// <summary>
+  /// Implementation of a size fair crossover operator as described in: 
+  /// William B. Langdon 
+  /// Size Fair and Homologous Tree Genetic Programming Crossovers, 
+  /// Genetic Programming and Evolvable Machines, Vol. 1, Number 1/2, pp. 95-119, April 2000
+  /// </summary>
   public class SizeFairCrossOver : OperatorBase {
     private const int MAX_RECOMBINATION_TRIES = 20;
     public override string Description {
       get {
-        return @"Takes two parent individuals P0 and P1 each. Selects a random node N0 of P0 and a random node N1 of P1.
-And replaces the branch with root0 N0 in P0 with N1 from P1 if the tree-size limits are not violated.
-When recombination with N0 and N1 would create a tree that is too large or invalid the operator randomly selects new N0 and N1 
-until a valid configuration is found.";
+        return @"";
       }
     }
@@ -130 +133 @@
         int rootSize = tree0Size;
 
-        // select a random suboperators of the two trees at a random level
-        int tree0Level = random.Next(root0Height - 1); // since we checked before that the height of tree0 is > 1 this is OK
-        int tree1Level = random.Next(root1Height);
-        tree0 = gardener.GetRandomBranch(tree0, tree0Level);
-        tree1 = gardener.GetRandomBranch(tree1, tree1Level);
-
-        // recalculate the size and height of tree1 (the one that we want to insert) because we need to check constraints later on
-        tree1Size = tree1.Size;
-        tree1Height = tree1.Height;
-
-        List<int> possibleChildIndices = new List<int>();
-
-        // Now tree0 is supposed to take tree1 as one if its children. If this is not possible,
-        // then go down in either of the two trees as far as possible. If even then it is not possible
-        // to merge the trees then throw an exception
-        // find the list of allowed indices (regarding allowed sub-trees, maxTreeSize and maxTreeHeight)
-        for(int i = 0; i < tree0.SubTrees.Count; i++) {
-          int subTreeSize = tree0.SubTrees[i].Size;
-
-          // the index is ok when the function is allowed as sub-tree and we don't violate the maxSize and maxHeight constraints
-          if(gardener.GetAllowedSubFunctions(tree0.Function, i).Contains(tree1.Function) &&
-            rootSize - subTreeSize + tree1Size < maxTreeSize &&
-            tree0Level + tree1Height < maxTreeHeight) {
-            possibleChildIndices.Add(i);
-          }
-        }
+        // select a random suboperator of the 'receiving' tree
+        IFunctionTree crossoverPoint = gardener.GetRandomParentNode(root0);
+        int removedBranchIndex;
+        IFunctionTree removedBranch;
+        IList<IFunction> allowedFunctions;
+        if(crossoverPoint == null) {
+          removedBranchIndex = 0;
+          removedBranch = root0;
+          allowedFunctions = gardener.GetAllowedSubFunctions(null, 0);
+        } else {
+          removedBranchIndex = random.Next(crossoverPoint.SubTrees.Count);
+          removedBranch = crossoverPoint.SubTrees[removedBranchIndex];
+          allowedFunctions = gardener.GetAllowedSubFunctions(crossoverPoint.Function, removedBranchIndex);
+        }
+        int removedBranchSize = removedBranch.Size;
+        int maxBranchSize = maxTreeSize - (root0.Size - removedBranchSize);
+        int maxBranchHeight = maxTreeHeight - gardener.GetBranchLevel(root0, removedBranch);
+        IFunctionTree insertedBranch = GetReplacementBranch(random, gardener, allowedFunctions, root1, removedBranchSize, maxBranchSize, maxBranchHeight);
+
         int tries = 0;
-        while(possibleChildIndices.Count == 0) {
+        while(insertedBranch == null) {
           if(tries++ > MAX_RECOMBINATION_TRIES) {
             if(random.Next() > 0.5) return root1;
             else return root0;
           }
-          // we couln't find a possible configuration given the current tree0 and tree1
-          // possible reasons for this are: 
-          //  - tree1 is not allowed as sub-tree of tree0
-          //  - appending tree1 as child of tree0 would create a tree that exceedes the maxTreeHeight
-          //  - replacing any child of tree0 with tree1 woulde create a tree that exceedes the maxTeeSize
-          // thus we just try until we find a valid configuration
-
-          tree0Level = random.Next(root0Height - 1);
-          tree1Level = random.Next(root1Height);
-          tree0 = gardener.GetRandomBranch(root0, tree0Level);
-          tree1 = gardener.GetRandomBranch(root1, tree1Level);
-
-          // recalculate the size and height of tree1 (the one that we want to insert) because we need to check constraints later on
-          tree1Size = tree1.Size;
-          tree1Height = tree1.Height;
-          // recalculate the list of possible indices 
-          possibleChildIndices.Clear();
-          for(int i = 0; i < tree0.SubTrees.Count; i++) {
-            int subTreeSize = tree0.SubTrees[i].Size;
-
-            // when the function is allowed as sub-tree and we don't violate the maxSize and maxHeight constraints
-            // the index is ok
-            if(gardener.GetAllowedSubFunctions(tree0.Function, i).Contains(tree1.Function) &&
-              rootSize - subTreeSize + tree1Size < maxTreeSize &&
-              tree0Level + tree1Height < maxTreeHeight) {
-              possibleChildIndices.Add(i);
-            }
+
+          // retry with a different crossoverPoint        
+          crossoverPoint = gardener.GetRandomParentNode(root0);
+          if(crossoverPoint == null) {
+            removedBranchIndex = 0;
+            removedBranch = root0;
+            allowedFunctions = gardener.GetAllowedSubFunctions(null, 0);
+          } else {
+            removedBranchIndex = random.Next(crossoverPoint.SubTrees.Count);
+            removedBranch = crossoverPoint.SubTrees[removedBranchIndex];
+            allowedFunctions = gardener.GetAllowedSubFunctions(crossoverPoint.Function, removedBranchIndex);
           }
-        }
-        // replace the existing sub-tree at a random index in tree0 with tree1
-        int selectedIndex = possibleChildIndices[random.Next(possibleChildIndices.Count)];
-        tree0.RemoveSubTree(selectedIndex);
-        tree0.InsertSubTree(selectedIndex, tree1);
-        return root0;
+          removedBranchSize = removedBranch.Size;
+          maxBranchSize = maxTreeSize - (root0.Size - removedBranchSize);
+          maxBranchHeight = maxTreeHeight - gardener.GetBranchLevel(root0, removedBranch) + 1;
+          insertedBranch = GetReplacementBranch(random, gardener, allowedFunctions, root1, removedBranchSize, maxBranchSize, maxBranchHeight);
+        }
+        if(crossoverPoint != null) {
+          // replace the branch below the crossoverpoint with the selected branch from root1
+          crossoverPoint.RemoveSubTree(removedBranchIndex);
+          crossoverPoint.InsertSubTree(removedBranchIndex, insertedBranch);
+          return root0;
+        } else {
+          return insertedBranch;
+        }
+      }
+    }
+
+    private IFunctionTree GetReplacementBranch(IRandom random, TreeGardener gardener, IList<IFunction> allowedFunctions, IFunctionTree tree, int removedBranchSize, int maxBranchSize, int maxBranchHeight) {
+      var branches = gardener.GetAllSubTrees(tree).Where(t => allowedFunctions.Contains(t.Function) && t.Size < maxBranchSize && t.Height < maxBranchHeight)
+        .Select(t => new { Tree = t, Size = t.Size }).Where(s => s.Size < 2 * removedBranchSize + 1);
+
+      var shorterBranches = branches.Where(t => t.Size < removedBranchSize);
+      var longerBranches = branches.Where(t => t.Size > removedBranchSize);
+      var equalLengthBranches = branches.Where(t => t.Size == removedBranchSize);
+
+      if(shorterBranches.Count() == 0 || longerBranches.Count() == 0) {
+        if(equalLengthBranches.Count() == 0) {
+          return null;
+        } else {
+          return equalLengthBranches.ElementAt(random.Next(equalLengthBranches.Count())).Tree;
+        }
+      } else {
+        // invariant: |shorterBranches| > 0  and |longerBranches| > 0
+        double pEqualLength = equalLengthBranches.Count() > 0 ? 1.0 / removedBranchSize : 0.0;
+        double pLonger = (1.0 - pEqualLength) / (longerBranches.Count() * (1.0 + longerBranches.Average(t => t.Size) / shorterBranches.Average(t => t.Size)));
+        double pShorter = (1.0 - pEqualLength - pLonger);
+
+        double r = random.NextDouble();
+        if(r < pLonger) {
+          return longerBranches.ElementAt(random.Next(longerBranches.Count())).Tree;
+        } else if(r < pLonger + pShorter) {
+          return shorterBranches.ElementAt(random.Next(shorterBranches.Count())).Tree;
+        } else {
+          return equalLengthBranches.ElementAt(random.Next(equalLengthBranches.Count())).Tree;
+        }
       }
     }