Changeset 5567 for branches/DataAnalysis Refactoring
- Timestamp:
- 02/28/11 17:11:56 (14 years ago)
- Location:
- branches/DataAnalysis Refactoring/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4
- Files:
-
- 3 edited
Legend:
- Unmodified
- Added
- Removed
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branches/DataAnalysis Refactoring/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/Manipulators/ChangeNodeTypeManipulation.cs
r5529 r5567 46 46 47 47 public static void ChangeNodeType(IRandom random, ISymbolicExpressionTree symbolicExpressionTree) { 48 // select any node as parent (except the root node) 49 var manipulationPoints = (from parent in symbolicExpressionTree.Root.IterateNodesPrefix().Skip(1) 50 let subtreeCount = parent.SubTrees.Count() 51 from subtreeIndex in Enumerable.Range(0, subtreeCount) 52 let subtree = parent.GetSubTree(subtreeIndex) 53 let existingSubtreeCount = subtree.SubTrees.Count() 54 // find possible symbols for the node (also considering the existing branches below it) 55 let allowedSymbols = (from symbol in parent.Grammar.GetAllowedSymbols(parent.Symbol, subtreeIndex) 56 // do not replace the existing symbol with itself 57 where symbol.Name != subtree.Symbol.Name 58 where existingSubtreeCount <= parent.Grammar.GetMaxSubtreeCount(symbol) 59 where existingSubtreeCount >= parent.Grammar.GetMinSubtreeCount(symbol) 60 // keep only symbols that are still possible considering the existing sub-trees 61 where (from existingSubtreeIndex in Enumerable.Range(0, existingSubtreeCount) 62 let existingSubtree = subtree.GetSubTree(existingSubtreeIndex) 63 select parent.Grammar.IsAllowedChild(symbol, existingSubtree.Symbol, existingSubtreeIndex)) 64 .All(x => x == true) 65 select symbol) 66 .ToList() 67 where allowedSymbols.Count() > 0 68 select new { Parent = parent, Child = subtree, Index = subtreeIndex, AllowedSymbols = allowedSymbols }) 69 .ToList(); 70 if (manipulationPoints.Count == 0) { return; } 71 var selectedManipulationPoint = manipulationPoints.SelectRandom(random); 48 72 49 // select any node as parent (except the root node) 50 var manipulationPoint = (from parent in symbolicExpressionTree.Root.IterateNodesPrefix().Skip(1) 51 from subtree in parent.SubTrees 52 select new { Parent = parent, Node = subtree, Index = parent.IndexOfSubTree(subtree) }) 53 .SelectRandom(random); 54 int subTreeCount = manipulationPoint.Node.SubTrees.Count(); 55 // find possible symbols for the node (also considering the existing branches below it) 56 var allowedSymbols = from symbol in manipulationPoint.Parent.Grammar.GetAllowedSymbols(manipulationPoint.Parent.Symbol, manipulationPoint.Index) 57 where subTreeCount <= manipulationPoint.Node.Grammar.GetMaxSubtreeCount(symbol) 58 where subTreeCount >= manipulationPoint.Node.Grammar.GetMinSubtreeCount(symbol) 59 select symbol; 60 61 if (allowedSymbols.Count() == 0) { 62 return; 63 } 64 var node = manipulationPoint.Node; 65 // keep only symbols that are still possible considering the existing sub-trees 66 var constrainedSymbols = (from symbol in allowedSymbols 67 let disallowedSubtrees = 68 from subtree in node.SubTrees 69 where !node.Grammar.IsAllowedChild(symbol, subtree.Symbol, node.IndexOfSubTree(subtree)) 70 select subtree 71 where disallowedSubtrees.Count() == 0 72 select symbol) 73 .ToList(); 74 if (constrainedSymbols.Count() == 0) { 75 return; 76 } 77 var weights = constrainedSymbols.Select(s => s.InitialFrequency).ToList(); 78 var newSymbol = constrainedSymbols.SelectRandom(weights, random); 73 var weights = selectedManipulationPoint.AllowedSymbols.Select(s => s.InitialFrequency).ToList(); 74 var newSymbol = selectedManipulationPoint.AllowedSymbols.SelectRandom(weights, random); 79 75 80 76 // replace the old node with the new node … … 82 78 if (newNode.HasLocalParameters) 83 79 newNode.ResetLocalParameters(random); 84 foreach (var subtree in node.SubTrees)80 foreach (var subtree in selectedManipulationPoint.Child.SubTrees) 85 81 newNode.AddSubTree(subtree); 86 manipulationPoint.Parent.RemoveSubTree(manipulationPoint.Index);87 manipulationPoint.Parent.InsertSubTree(manipulationPoint.Index, newNode);82 selectedManipulationPoint.Parent.RemoveSubTree(selectedManipulationPoint.Index); 83 selectedManipulationPoint.Parent.InsertSubTree(selectedManipulationPoint.Index, newNode); 88 84 } 89 85 } -
branches/DataAnalysis Refactoring/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/Tests/ChangeNodeTypeManipulationTest.cs
r5549 r5567 53 53 var grammar = Grammars.CreateArithmeticAndAdfGrammar(); 54 54 var random = new MersenneTwister(31415); 55 int failedEvents = 0; 55 56 for (int i = 0; i < POPULATION_SIZE; i++) { 56 57 var tree = ProbabilisticTreeCreator.Create(random, grammar, MAX_TREE_LENGTH, MAX_TREE_DEPTH, 3, 3); … … 58 59 ChangeNodeTypeManipulation.ChangeNodeType(random, tree); 59 60 string manipulatedTree = formatter.Format(tree); 60 Assert.IsFalse(originalTree == manipulatedTree);61 if (originalTree == manipulatedTree) failedEvents++; 61 62 Util.IsValid(tree); 62 63 trees.Add(tree); 63 64 } 64 65 Console.WriteLine("ChangeNodeTypeManipulation: " + Environment.NewLine + 66 "Failed events: " + failedEvents * 100.0 / POPULATION_SIZE + " %" + Environment.NewLine + 65 67 Util.GetSizeDistributionString(trees, 105, 5) + Environment.NewLine + 66 68 Util.GetFunctionDistributionString(trees) + Environment.NewLine + … … 68 70 Util.GetTerminalDistributionString(trees) + Environment.NewLine 69 71 ); 72 Assert.IsTrue(failedEvents * 100.0 / POPULATION_SIZE < 5.0); // only max 5% failed mutations are allowed 70 73 } 71 74 } -
branches/DataAnalysis Refactoring/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/Tests/Grammars.cs
r5549 r5567 23 23 using HeuristicLab.Common; 24 24 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; 25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 25 26 26 27 namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding_3._4.Tests { … … 59 60 public override IDeepCloneable Clone(Cloner cloner) { 60 61 return new Terminal(this, cloner); 62 } 63 64 public override ISymbolicExpressionTreeNode CreateTreeNode() { 65 return new TerminalNode(this); 66 } 67 } 68 69 private class TerminalNode : SymbolicExpressionTreeTerminalNode { 70 public override bool HasLocalParameters { get { return true; } } 71 private double value; 72 protected TerminalNode(TerminalNode original, Cloner cloner) 73 : base(original, cloner) { 74 this.value = original.value; 75 } 76 [StorableConstructor] 77 protected TerminalNode(bool deserializing) : base(deserializing) { } 78 public TerminalNode(Terminal symbol) : base(symbol) { } 79 80 public override IDeepCloneable Clone(Cloner cloner) { 81 return new TerminalNode(this, cloner); 82 } 83 public override void ResetLocalParameters(Core.IRandom random) { 84 base.ResetLocalParameters(random); 85 value = random.NextDouble(); 86 } 87 public override void ShakeLocalParameters(Core.IRandom random, double shakingFactor) { 88 base.ShakeLocalParameters(random, shakingFactor); 89 value = random.NextDouble(); 90 } 91 public override string ToString() { 92 return value.ToString("E4"); 61 93 } 62 94 }
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