コード例 #1
0
 protected PercentMatrix(PercentMatrix original, Cloner cloner)
     : base(original, cloner)
 {
 }
コード例 #2
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    private static void SelectCrossoverPoint(IRandom random, ISymbolicExpressionTree parent0, int maxBranchLength, int maxBranchDepth, out CutPoint crossoverPoint, PercentMatrix probabilities) {
      List<CutPoint> internalCrossoverPoints = new List<CutPoint>();
      List<CutPoint> leafCrossoverPoints = new List<CutPoint>();
      parent0.Root.ForEachNodePostfix((n) => {
        if (n.SubtreeCount > 0 && n != parent0.Root) {
          //avoid linq to reduce memory pressure
          for (int i = 0; i < n.SubtreeCount; i++) {
            var child = n.GetSubtree(i);
            if (child.GetLength() <= maxBranchLength &&
                child.GetDepth() <= maxBranchDepth) {
              if (child.SubtreeCount > 0)
                internalCrossoverPoints.Add(new CutPoint(n, child));
              else
                leafCrossoverPoints.Add(new CutPoint(n, child));
            }
          }

          // add one additional extension point if the number of sub trees for the symbol is not full
          if (n.SubtreeCount < n.Grammar.GetMaximumSubtreeCount(n.Symbol)) {
            // empty extension point
            internalCrossoverPoints.Add(new CutPoint(n, n.SubtreeCount));
          }
        }
      }
    );

      List<CutPoint> allCrossoverPoints = new List<CutPoint>();
      allCrossoverPoints.AddRange(internalCrossoverPoints);
      allCrossoverPoints.AddRange(leafCrossoverPoints);
      var weights = allCrossoverPoints.Select(x => probabilities[probabilities.RowNames.ToList().IndexOf(x.Child.Symbol.Name), 0]);
      crossoverPoint = allCrossoverPoints.SampleProportional(random, 1, weights).First();
    }
コード例 #3
0
 protected PercentMatrix(PercentMatrix original, Cloner cloner)
   : base(original, cloner) {
 }
コード例 #4
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    public ISymbolicExpressionTree Cross(IRandom random,
      ISymbolicExpressionTree parent0, ISymbolicExpressionTree parent1,
      int maxTreeLength, int maxTreeDepth, PercentMatrix probabilities) {
      // select a random crossover point in the first parent 
      CutPoint crossoverPoint0;
      SelectCrossoverPoint(random, parent0, maxTreeLength, maxTreeDepth, out crossoverPoint0, probabilities);

      int childLength = crossoverPoint0.Child != null ? crossoverPoint0.Child.GetLength() : 0;
      // calculate the max length and depth that the inserted branch can have 
      int maxInsertedBranchLength = maxTreeLength - (parent0.Length - childLength);
      int maxInsertedBranchDepth = maxTreeDepth - parent0.Root.GetBranchLevel(crossoverPoint0.Parent);

      List<ISymbolicExpressionTreeNode> allowedBranches = new List<ISymbolicExpressionTreeNode>();
      parent1.Root.ForEachNodePostfix((n) => {
        if (n.GetLength() <= maxInsertedBranchLength &&
            n.GetDepth() <= maxInsertedBranchDepth && crossoverPoint0.IsMatchingPointType(n))
          allowedBranches.Add(n);
      });
      // empty branch
      if (crossoverPoint0.IsMatchingPointType(null)) allowedBranches.Add(null);

      if (allowedBranches.Count == 0) {
        return parent0;
      } else {
        CutPointSymbolParameter.ActualValue = (ISymbol)crossoverPoint0.Parent.Symbol.Clone();
        var selectedBranch = SelectRandomBranch(random, allowedBranches);

        if (crossoverPoint0.Child != null) {
          // manipulate the tree of parent0 in place
          // replace the branch in tree0 with the selected branch from tree1
          crossoverPoint0.Parent.RemoveSubtree(crossoverPoint0.ChildIndex);

          RemovedBranchParameter.ActualValue = new SymbolicExpressionTree((ISymbolicExpressionTreeNode)crossoverPoint0.Child.Clone());
          if (selectedBranch != null) {
            crossoverPoint0.Parent.InsertSubtree(crossoverPoint0.ChildIndex, selectedBranch);

            AddedBranchParameter.ActualValue = new SymbolicExpressionTree((ISymbolicExpressionTreeNode)selectedBranch.Clone());
          }
        } else {
          // child is null (additional child should be added under the parent)
          if (selectedBranch != null) {
            crossoverPoint0.Parent.AddSubtree(selectedBranch);

            AddedBranchParameter.ActualValue = new SymbolicExpressionTree((ISymbolicExpressionTreeNode)selectedBranch.Clone());
          }
        }
        return parent0;
      }
    }