- Timestamp:
- 05/09/12 09:56:56 (13 years ago)
- Location:
- branches/HeuristicLab.EvolutionaryTracking
- Files:
-
- 2 added
- 2 deleted
- 13 edited
Legend:
- Unmodified
- Added
- Removed
-
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/CutPoint.cs
r7522 r7785 64 64 } 65 65 } 66 67 public static CutPoint GetCutPoint(ISymbolicExpressionTree parent, ISymbolicExpressionTree child) { 68 return GetCutPoint(parent.Root, child.Root); 69 } 70 71 public static CutPoint GetCutPoint(ISymbolicExpressionTree parent, ISymbolicExpressionTreeNode child) { 72 return GetCutPoint(parent.Root, child); 73 } 74 75 public static CutPoint GetCutPoint(ISymbolicExpressionTreeNode parent, ISymbolicExpressionTree child) { 76 return GetCutPoint(parent, child.Root); 77 } 78 79 // child is the result of a genetic operation on parent 80 // this method returns the index on which the two individuals start to differ 81 public static CutPoint GetCutPoint(ISymbolicExpressionTreeNode parent, ISymbolicExpressionTreeNode child) { 82 var e1 = parent.IterateNodesPostfix().GetEnumerator(); 83 var e2 = child.IterateNodesPostfix().GetEnumerator(); 84 int pos = -1; 85 var comparer = new SymbolicExpressionTreeNodeComparer((int)SymbolicExpressionTreeMatching.SimilarityLevel.Exact); 86 while (e1.MoveNext() && e2.MoveNext()) 87 if (comparer.Equals(e1.Current, e2.Current)) 88 ++pos; 89 return pos == -1 ? null : new CutPoint(parent, pos); 90 } 66 91 } 67 92 } -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4.csproj
r7479 r7785 133 133 <HintPath>..\..\..\..\trunk\sources\bin\HeuristicLab.PluginInfrastructure-3.3.dll</HintPath> 134 134 </Reference> 135 <Reference Include="HeuristicLab.Problems.DataAnalysis.Symbolic-3.4, Version=3.4.0.0, Culture=neutral, PublicKeyToken=ba48961d6f65dcec, processorArchitecture=MSIL"> 136 <SpecificVersion>False</SpecificVersion> 137 <HintPath>..\..\..\..\trunk\sources\bin\HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.dll</HintPath> 138 </Reference> 135 139 <Reference Include="HeuristicLab.Random-3.3"> 136 140 <HintPath>..\..\..\..\trunk\sources\bin\HeuristicLab.Random-3.3.dll</HintPath> … … 174 178 </Compile> 175 179 <Compile Include="Creators\RampedHalfAndHalfTreeCreator.cs" /> 180 <Compile Include="Crossovers\AssortativeSymbolicExpressionTreeCrossover.cs" /> 176 181 <Compile Include="Crossovers\TracingSymbolicExpressionTreeCrossover.cs" /> 177 182 <Compile Include="Interfaces\IReadOnlySymbol.cs" /> … … 206 211 <Compile Include="SymbolicExpressionGrammar.cs" /> 207 212 <Compile Include="SymbolicExpressionTreeGrammar.cs" /> 213 <Compile Include="SymbolicExpressionTreeMatching.cs" /> 208 214 <Compile Include="SymbolicExpressionTreeTopLevelNode.cs" /> 209 215 <Compile Include="Crossovers\SubtreeCrossover.cs"> -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4.csproj.user
r7514 r7785 7 7 <PropertyGroup Condition="'$(Configuration)|$(Platform)' == 'Release|AnyCPU'"> 8 8 <StartAction>Program</StartAction> 9 <StartProgram>C:\Users\ bburlacu\Desktop\HL-Core\trunk\sources\bin\HeuristicLab 3.3.exe</StartProgram>9 <StartProgram>C:\Users\Bogdan\Desktop\Trunk\sources\bin\HeuristicLab 3.3.exe</StartProgram> 10 10 </PropertyGroup> 11 11 <PropertyGroup Condition="'$(Configuration)|$(Platform)' == 'Release|x86'"> -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/Plugin.cs
r7779 r7785 26 26 27 27 namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding { 28 [Plugin("HeuristicLab.Encodings.SymbolicExpressionTreeEncoding","Provides operators and related classes for the symbolic expression tree encoding.", "3.4.2.7 522")]28 [Plugin("HeuristicLab.Encodings.SymbolicExpressionTreeEncoding","Provides operators and related classes for the symbolic expression tree encoding.", "3.4.2.7779")] 29 29 [PluginFile("HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4.dll", PluginFileType.Assembly)] 30 30 [PluginDependency("HeuristicLab.Analysis", "3.3")] -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking.Views/3.4/GenealogyGraphChart.cs
r7779 r7785 177 177 foreach (var node in ancestors.SelectMany(n => _visualNodeMap[n])) { 178 178 node.Brush = new SolidBrush(node.ToColor()); 179 if (node.IncomingArcs != null && node == _visualNodeMap[node.Data].First()) 179 if (node.IncomingArcs != null && node == _visualNodeMap[node.Data].First()) { 180 180 foreach (var arc in node.IncomingArcs) { 181 181 if (arc.Source.Data == node.Data) continue; … … 183 183 var end = new Point((int)arc.End.X, (int)arc.End.Y); 184 184 arc.Pen.Brush = new LinearGradientBrush(start, end, arc.Source.ToColor(), arc.Target.ToColor()); 185 if (node.Data.CutpointIndex == -1) { // if the cut index wasn't computed yet 185 if (node.Data.CutpointIndex == -1) { 186 // if the cut index wasn't computed yet 186 187 var parent = arc.Source.Data.Data as ISymbolicExpressionTree; 187 188 var child = node.Data.Data as ISymbolicExpressionTree; … … 189 190 } 190 191 } 192 } 191 193 } 192 194 // highlight the descendants … … 208 210 Chart.UpdateEnabled = true; 209 211 Chart.EnforceUpdate(); 210 if (_selectedGenealogyGraphNode != null) /* emit clicked event */ OnGenealogyGraphNodeClicked(_selectedGenealogyGraphNode, e); 212 if (_selectedGenealogyGraphNode != null) 213 /* emit clicked event */ 214 OnGenealogyGraphNodeClicked(_selectedGenealogyGraphNode, e); 211 215 } 212 216 } … … 238 242 var e1 = parent.IterateNodesPostfix().GetEnumerator(); 239 243 var e2 = child.IterateNodesPostfix().GetEnumerator(); 240 int pos = -1;241 var comparer = new SymbolicExpressionTree GenealogyGraph.SymbolicExpressionTreeNodeComparer(0);244 int pos = 0; 245 var comparer = new SymbolicExpressionTreeNodeComparer((int)SymbolicExpressionTreeMatching.SimilarityLevel.Exact); 242 246 while (e1.MoveNext() && e2.MoveNext() && comparer.Equals(e1.Current, e2.Current)) ++pos; 247 if (pos == 0) return -1; 248 if (pos == child.Length) return 0; 243 249 return pos; 250 //return pos == 0 ? -1 : pos; 244 251 } 245 252 } -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking.Views/3.4/GenealogyGraphView.cs
r7779 r7785 94 94 var nodes = symbolicExpressionTreeChart.Tree.IterateNodesPostfix().ToArray(); 95 95 var fragments = _selectedVisualSymbolicExpressionTreeNode.SymbolicExpressionTreeNode.IterateNodesPostfix().ToArray(); 96 int index = SymbolicExpressionTree GenealogyGraph.FindMatch(nodes, fragments, similarityModeSelector.SelectedIndex);96 int index = SymbolicExpressionTreeMatching.FindMatch(nodes, fragments, similarityModeSelector.SelectedIndex); 97 97 if (index != -1) { 98 98 _selectedVisualSymbolicExpressionTreeNode = symbolicExpressionTreeChart.GetVisualSymbolicExpressionTreeNode(nodes[index + fragments.Count() - 1]); … … 143 143 genealogyGraphChart.ClearAllNodes(); // clear node colors 144 144 // color each graph node according to the degree to which it matches the selected tree fragment 145 foreach (var i in Enum.GetValues(typeof(SymbolicExpressionTree GenealogyGraph.SimilarityLevel)).Cast<int>().Reverse()) {145 foreach (var i in Enum.GetValues(typeof(SymbolicExpressionTreeMatching.SimilarityLevel)).Cast<int>().Reverse()) { 146 146 var owners = genealogyGraphChart.Graph.TraceFragment(treeNode, i).ToList(); 147 147 if (owners.Any()) genealogyGraphChart.HighlightNodes(owners, colors[i]); // highlight matching individuals from the genealogy -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4/Analyzers/SymbolicExpressionTreeGenealogyAnalyzer.cs
r7779 r7785 37 37 using HeuristicLab.Problems.DataAnalysis; 38 38 using HeuristicLab.Problems.DataAnalysis.Symbolic; 39 // type definitions for ease of use 39 40 using CloneMapType = HeuristicLab.Core.ItemDictionary<HeuristicLab.Core.IItem, HeuristicLab.Core.IItem>; 40 41 using TraceMapType = HeuristicLab.Core.ItemDictionary<HeuristicLab.Core.IItem, HeuristicLab.Core.IItemList<HeuristicLab.Core.IItem>>; … … 47 48 [StorableClass] 48 49 public sealed class SymbolicExpressionTreeGenealogyAnalyzer : SingleSuccessorOperator, IAnalyzer { 49 public enum GeneticOperator { Crossover, Mutation }50 51 50 private const string UpdateIntervalParameterName = "UpdateInterval"; 52 51 private const string UpdateCounterParameterName = "UpdateCounter"; … … 220 219 Results.Add(new Result(PopulationGraphResultParameterName, PopulationGraphResultParameterDescription, graph)); 221 220 } else { 222 graph = (SymbolicExpressionTreeGenealogyGraph)Results[PopulationGraphResultParameterName].Value; 223 } 224 // get tree quality values 221 //graph = (SymbolicExpressionTreeGenealogyGraph)Results[PopulationGraphResultParameterName].Value; 222 graph = (SymbolicExpressionTreeGenealogyGraph)(Results[PopulationGraphResultParameterName].Value); 223 } 224 // get tree quality values (Key => Individual, Value => Quality) 225 225 var qualities = (from s in gScope.SubScopes 226 226 let individual = s.Variables.First().Value … … 232 232 int generation = Generations.Value; 233 233 string label; 234 235 234 if (generation == 0) { 236 235 // at generation 0 no trace map is present (since no reproduction has taken place yet), so we only add the initial trees as nodes in the genealogy graph … … 252 251 253 252 foreach (var parent in parents) { 254 int opType;255 253 if (GlobalTraceMap.ContainsKey(parent)) { 256 254 double quality = Evaluate((ISymbolicExpressionTree)parent); … … 258 256 var pp = GlobalTraceMap[parent]; 259 257 foreach (var p in pp) { 260 opType = pp.Count == 2 ? (int)GeneticOperator.Crossover : (int)GeneticOperator.Mutation; 261 graph.AddArc((ISymbolicExpressionTree)p, (ISymbolicExpressionTree)parent, opType); 258 graph.AddArc((ISymbolicExpressionTree)p, (ISymbolicExpressionTree)parent); 262 259 } 263 260 } 264 opType = parents.Count == 2 ? (int)GeneticOperator.Crossover : (int)GeneticOperator.Mutation; 265 graph.AddArc((ISymbolicExpressionTree)parent, child, opType); 261 graph.AddArc((ISymbolicExpressionTree)parent, child); 266 262 } 267 263 } … … 319 315 } 320 316 317 318 321 319 private double Evaluate(ISymbolicExpressionTree tree) { 322 320 // we perform evaluation by adding a temporary subscope with the tree in it, and calling evaluator.Apply() … … 368 366 } 369 367 #endregion 370 371 #region Extra / not really needed372 // method of iterating tree nodes in a breadth-wise manner373 private IEnumerable<ISymbolicExpressionTreeNode> IterateNodes(ISymbolicExpressionTree tree) {374 return IterateNodes(tree.Root);375 }376 377 private static IEnumerable<ISymbolicExpressionTreeNode> IterateNodes(ISymbolicExpressionTreeNode root) {378 var list = new List<ISymbolicExpressionTreeNode> { root };379 int offset = 0, count = 1;380 while (offset != count) {381 var c = count;382 for (int i = offset; i != count; ++i) {383 yield return list[i];384 if (!list[i].Subtrees.Any()) continue;385 list.AddRange(list[i].Subtrees);386 }387 offset = c;388 count = list.Count;389 }390 }391 #endregion392 368 } 393 369 } -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4/GenealogyGraph.cs
r7779 r7785 50 50 51 51 [StorableConstructor] 52 pr ivateGenealogyGraph(bool serializing)52 protected GenealogyGraph(bool serializing) 53 53 : base(serializing) { 54 54 } -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4/HeuristicLab.EvolutionaryTracking-3.4.csproj
r7779 r7785 38 38 </PropertyGroup> 39 39 <ItemGroup> 40 <Reference Include="HeuristicLab.Analysis-3.3, Version=3.3.0.0, Culture=neutral, PublicKeyToken=ba48961d6f65dcec, processorArchitecture=MSIL" /> 40 41 <Reference Include="HeuristicLab.Collections-3.3"> 41 42 <HintPath>..\..\..\trunk\sources\bin\HeuristicLab.Collections-3.3.dll</HintPath> … … 83 84 </ItemGroup> 84 85 <ItemGroup> 86 <Compile Include="Analyzers\SymbolicExpressionTreeFragmentsAnalyzer.cs" /> 85 87 <Compile Include="Analyzers\SymbolicExpressionTreeGenealogyAnalyzer.cs" /> 86 88 <Compile Include="GenealogyGraph.cs" /> -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4/SymbolicExpressionTreeGenealogyGraph.cs
r7779 r7785 1 using System; 2 using System.Collections.Generic; 3 using System.Globalization; 1 using System.Collections.Generic; 4 2 using System.Linq; 5 3 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; 6 using HeuristicLab.P roblems.DataAnalysis.Symbolic;4 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 7 5 8 6 namespace HeuristicLab.EvolutionaryTracking { 9 7 public class SymbolicExpressionTreeGenealogyGraph : GenealogyGraph<ISymbolicExpressionTree> { 10 public enum SimilarityLevel { Exact, High, Relaxed } 8 public SymbolicExpressionTreeGenealogyGraph() { 9 } 11 10 12 private readonly Dictionary<int, Func<ISymbolicExpressionTreeNode, string>> _dispatcher; 13 14 public delegate string HashFunction(ISymbolicExpressionTreeNode node); 15 16 public SymbolicExpressionTreeGenealogyGraph() { 17 _dispatcher = new Dictionary<int, Func<ISymbolicExpressionTreeNode, string>>(); 18 _dispatcher[(int)SimilarityLevel.Exact] = GetExactString; 19 _dispatcher[(int)SimilarityLevel.High] = GetHighLevelString; 20 _dispatcher[(int)SimilarityLevel.Relaxed] = GetRelaxedString; 11 [StorableConstructor] 12 public SymbolicExpressionTreeGenealogyGraph(bool serializing) 13 : base(serializing) { 21 14 } 22 15 23 16 #region Fragment tracing 24 17 public IEnumerable<ISymbolicExpressionTree> TraceFragment(ISymbolicExpressionTreeNode fragment, int mode = 0) { 25 return Keys.Where(tree => ContainsFragment(tree, fragment, mode) != -1); 18 //return Keys.Where(tree => ContainsFragment(tree, fragment, mode) != -1); 19 return Keys.Where(tree => tree.ContainsFragment(fragment, mode)); 26 20 } 27 28 public static bool CheckSimilarity(ISymbolicExpressionTree t1, ISymbolicExpressionTree t2, int mode) {29 return FindMatch(t1, t2, mode) == 0;30 }31 32 public static int ContainsFragment(ISymbolicExpressionTree tree, ISymbolicExpressionTreeNode fragment, int mode) {33 var nodes = tree.IterateNodesPostfix().ToArray();34 var fragments = fragment.IterateNodesPostfix().ToArray();35 return FindMatch(nodes, fragments, mode);36 }37 38 // Build a string hash out of all node symbols and parameter values (trimmed to 4 decimal places)39 private static string GetExactString(ISymbolicExpressionTreeNode node) {40 if (node is ConstantTreeNode) {41 var constant = node as ConstantTreeNode;42 return (constant.Symbol + string.Format("{0:0.0000}", constant.Value));43 }44 if (node is VariableTreeNode) {45 var variable = node as VariableTreeNode;46 return (variable.Symbol + variable.VariableName + variable.Weight);47 }48 return (node.Symbol.ToString());49 }50 51 // Build a string hash out of all node symbols in their respective order52 private static string GetHighLevelString(ISymbolicExpressionTreeNode node) {53 return (node.Symbol.ToString());54 }55 56 // Build a string hash which only considers function symbols and function arities. leaf nodes are taken as "wildcards"57 private static string GetRelaxedString(ISymbolicExpressionTreeNode node) {58 if (node.SubtreeCount != 0) /* function node */ {59 return (node.Symbol + node.SubtreeCount.ToString(CultureInfo.InvariantCulture));60 }61 return string.Empty;62 }63 64 21 #endregion 65 public class SymbolicExpressionTreeNodeComparer : IEqualityComparer<ISymbolicExpressionTreeNode> {66 public SymbolicExpressionTreeNodeComparer(int similarityLevel) { _similarityLevel = similarityLevel; }67 68 public int GetHashCode(ISymbolicExpressionTreeNode n) { return n.ToString().ToLower().GetHashCode(); }69 70 public bool Equals(ISymbolicExpressionTreeNode a, ISymbolicExpressionTreeNode b) {71 if (a.SubtreeCount != b.SubtreeCount) { return false; }72 if (a.SubtreeCount > 0) { return a.Symbol.ToString().Equals(b.Symbol.ToString()); }73 switch (_similarityLevel) {74 case ((int)SimilarityLevel.Exact):75 if (a is ConstantTreeNode && b is ConstantTreeNode) { return (a as ConstantTreeNode).Value.Equals((b as ConstantTreeNode).Value); }76 if (a is VariableTreeNode && b is VariableTreeNode) { return (a as VariableTreeNode).Weight.Equals((b as VariableTreeNode).Weight); }77 return false;78 case ((int)SimilarityLevel.High):79 return (a is ConstantTreeNode && b is ConstantTreeNode) || (a is VariableTreeNode && b is VariableTreeNode);80 case ((int)SimilarityLevel.Relaxed):81 return true;82 default:83 return false;84 }85 }86 private readonly int _similarityLevel;87 }88 89 private static int FindMatch(ISymbolicExpressionTree t0, ISymbolicExpressionTree t1, int mode) {90 return FindMatch(t0.IterateNodesPostfix().ToArray(), t1.IterateNodesPostfix().ToArray(), mode);91 }92 93 private static int FindMatch(ISymbolicExpressionTreeNode t0, ISymbolicExpressionTreeNode t1, int mode) {94 return FindMatch(t0.IterateNodesPostfix().ToArray(), t1.IterateNodesPostfix().ToArray(), mode);95 }96 97 // returns the index in the sequence 'seq', where pattern 'pat' is matched, or -1 for no match98 // -1 means no match, 0 means perfect match (the sequences overlap, hence the match index is 0)99 public static int FindMatch(ISymbolicExpressionTreeNode[] seq, ISymbolicExpressionTreeNode[] pat, int mode) {100 int patlen = pat.Length;101 int seqlen = seq.Length;102 if (patlen == 0 || seqlen == 0) return -1;103 var comparer = new SymbolicExpressionTreeNodeComparer(mode);104 if (patlen == seqlen) return seq.SequenceEqual(pat, comparer) ? 0 : -1;105 int i = patlen;106 while (i <= seqlen) {107 var ch = seq[i - 1];108 if (comparer.Equals(ch, pat.Last())) {109 if (seq.Skip(i - patlen).Take(patlen).SequenceEqual(pat, comparer)) {110 return i - patlen;111 }112 }113 ++i;114 }115 return -1;116 }117 22 } 118 23 } -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Selection/3.3/Plugin.cs
r7779 r7785 26 26 /// Plugin class for HeuristicLab.Selection plugin. 27 27 /// </summary> 28 [Plugin("HeuristicLab.Selection", "3.3.6. 0")]28 [Plugin("HeuristicLab.Selection", "3.3.6.7779")] 29 29 [PluginFile("HeuristicLab.Selection-3.3.dll", PluginFileType.Assembly)] 30 30 [PluginDependency("HeuristicLab.Collections", "3.3")]
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