Changeset 16734 for branches/2988_ModelsOfModels2/HeuristicLab.Algorithms.EMM/EMMAlgorithm.cs

Timestamp:

04/01/19 13:03:13 (5 years ago)

Author:

msemenki

Message:

#2988: Add Model Symbol Frequency Analyzer and Model's Clusters Frequency Analyzer. Fix Bag's with Keys. Fix changing during mutation for Variables Types in SubModels .

File:

• branches/2988_ModelsOfModels2/HeuristicLab.Algorithms.EMM/EMMAlgorithm.cs (modified) (3 diffs)

branches/2988_ModelsOfModels2/HeuristicLab.Algorithms.EMM/EMMAlgorithm.cs

@@ -37 +37 @@
   [Item("EvolvmentModelsOfModels Algorithm ", "EMM implementation")]
   [Creatable(CreatableAttribute.Categories.PopulationBasedAlgorithms, Priority = 125)]
-  [StorableType("D02C50E5-8325-496F-8DEA-C23651756846")]
+  [StorableType("AD23B21F-089A-4C6C-AD2E-1B01E7939CF5")]
   public class EMMAlgorithm : EvolvmentModelsOfModelsAlgorithmBase {
     public EMMMapTreeModel Map { get; private set; }
@@ -57 +57 @@
       InfixExpressionParser parser = new InfixExpressionParser();
       var trees = File.ReadAllLines(InputFileParameter.Value.Value).Select(parser.Parse);
-      Map = new EMMMapTreeModel(RandomParameter.Value, trees, ClusterNumbersParameter.Value.Value);
-      ClusterNumbersParameter.Value.Value = Map.K;
-      if (previousExecutionState != ExecutionState.Paused) {
-        InitializeAlgorithm(cancellationToken);
-      }
-      globalScope.Variables.Add(new Variable("TreeModelMap", Map));
-      EMMEvolutionaryAlgorithmRun(cancellationToken);
+      // this.Problem.SymbolicExpressionTreeGrammar;
+      /*   Problem.ProblemData.Dataset.ColumnNames.Take(2).ToList();
+         trees.First().Root.Grammar.ContainsSymbol((IVariable)a).
+           = this.Problem.SymbolicExpressionTreeGrammar;*/
+      int flag = 1;
+      switch (flag) {
+        case 0: // for case when we want only create map, and do  not want made somting also.
+          Map = new EMMMapTreeModel(RandomParameter.Value, trees, ClusterNumbersParameter.Value.Value);
+          ClusterNumbersParameter.Value.Value = Map.K;
+          File.WriteAllLines("Map.txt", Map.MapToString());
+          File.WriteAllLines("MapToSee.txt", Map.MapToSee());
+          globalScope = new Scope("Global Scope");
+          executionContext = new ExecutionContext(null, this, globalScope);
+          break;
+        case 1: // for case when we want read existed map and work with it;
+          Map = new EMMMapTreeModel(RandomParameter.Value, trees);
+          ClusterNumbersParameter.Value.Value = Map.K;
+          if (previousExecutionState != ExecutionState.Paused) {
+            InitializeAlgorithm(cancellationToken);
+          }
+          globalScope.Variables.Add(new Variable("TreeModelMap", Map));
+          EMMEvolutionaryAlgorithmRun(cancellationToken);
+          break;
+
+        default: //for case of usial from zero step starting
+          Map = new EMMMapTreeModel(RandomParameter.Value, trees, ClusterNumbersParameter.Value.Value);
+          ClusterNumbersParameter.Value.Value = Map.K;
+          if (previousExecutionState != ExecutionState.Paused) {
+            InitializeAlgorithm(cancellationToken);
+          }
+          globalScope.Variables.Add(new Variable("TreeModelMap", Map));
+          EMMEvolutionaryAlgorithmRun(cancellationToken);
+          break;
+      }
+
     }
     private void EMMEvolutionaryAlgorithmRun(CancellationToken cancellationToken) {
@@ -201 +229 @@
         foreach (var node in tree.IterateNodesPostfix().OfType<TreeModelTreeNode>()) {
           node.Tree = Map.NewModelForInizializtion(random, out int cluster, out int treeNumber);
-          node.Tree.Root.ShakeLocalParameters(random, 0.5);
+          node.SetLocalParameters(random, 0.5);
           node.ClusterNumer = cluster;
           node.TreeNumber = treeNumber;