#region License Information /* HeuristicLab * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression { [Item("ReplaceBranchMoveMaker", "")] [StorableClass] public class ReplaceBranchMoveMaker : SingleSuccessorOperator, ISymbolicExpressionTreeMoveOperator, IMoveMaker { public override bool CanChangeName { get { return false; } } public ILookupParameter QualityParameter { get { return (ILookupParameter)Parameters["Quality"]; } } public ILookupParameter MoveQualityParameter { get { return (ILookupParameter)Parameters["MoveQuality"]; } } public ILookupParameter ReplaceBranchMoveParameter { get { return (ILookupParameter)Parameters["ReplaceBranchMove"]; } } public ILookupParameter SymbolicExpressionTreeParameter { get { return (ILookupParameter)Parameters["SymbolicExpressionTree"]; } } public ILookupParameter> FragmentsParameter { get { return (ILookupParameter>)Parameters["Fragments"]; } } public ILookupParameter> FragmentOutputsParameter { get { return (ILookupParameter>)Parameters["FragmentOutputs"]; } } [StorableConstructor] protected ReplaceBranchMoveMaker(bool deserializing) : base(deserializing) { } protected ReplaceBranchMoveMaker(ReplaceBranchMoveMaker original, Cloner cloner) : base(original, cloner) { } public ReplaceBranchMoveMaker() : base() { Parameters.Add(new LookupParameter("Quality", "The quality of the solution.")); Parameters.Add(new LookupParameter("ReplaceBranchMove", "The move to evaluate.")); Parameters.Add(new LookupParameter("MoveQuality", "The relative quality of the move.")); Parameters.Add(new LookupParameter("SymbolicExpressionTree", "The symbolic expression tree on which the move should be applied.")); Parameters.Add(new LookupParameter>("Fragments")); Parameters.Add(new LookupParameter>("FragmentOutputs")); } public override IDeepCloneable Clone(Cloner cloner) { return new ReplaceBranchMoveMaker(this, cloner); } public override IOperation Apply() { var fragments = FragmentsParameter.ActualValue; var fragmentOutputs = FragmentOutputsParameter.ActualValue; var move = ReplaceBranchMoveParameter.ActualValue; DoubleValue moveQuality = MoveQualityParameter.ActualValue; DoubleValue quality = QualityParameter.ActualValue; var newNode = (ISymbolicExpressionTreeNode)move.NewBranch.Clone(); var oldBranch = move.Parent.GetSubtree(move.SubtreeIndex); move.Parent.RemoveSubtree(move.SubtreeIndex); move.Parent.InsertSubtree(move.SubtreeIndex, Scale(newNode, move.Alpha, move.Beta)); // move oldBranch into pool var fragmentStart = fragments[move.FragmentIndex].Root.GetSubtree(0); fragmentStart.RemoveSubtree(0); fragmentStart.AddSubtree(oldBranch); fragmentOutputs[move.FragmentIndex] = new DoubleArray(move.NewOutput); quality.Value = moveQuality.Value; // update solution SymbolicExpressionTreeParameter.ActualValue = move.Tree; return base.Apply(); } private Addition add = new Addition(); private Multiplication mul = new Multiplication(); private Constant constant = new Constant(); private ISymbolicExpressionTreeNode Scale(ISymbolicExpressionTreeNode node, double alpha, double beta) { var constNode = node as ConstantTreeNode; if (constNode != null) { constNode.Value = constNode.Value * beta + alpha; return constNode; } var varNode = node as VariableTreeNode; if (varNode != null) { varNode.Weight = varNode.Weight * beta; var constAlpha = (ConstantTreeNode)constant.CreateTreeNode(); constAlpha.Value = alpha; var sum = add.CreateTreeNode(); sum.AddSubtree(varNode); sum.AddSubtree(constAlpha); return sum; } if (node.Symbol is Addition && node.GetSubtree(0).Symbol is Multiplication && node.GetSubtree(1).Symbol is Constant && node.GetSubtree(0).GetSubtree(1).Symbol is Constant) { var constAlpha = node.GetSubtree(1) as ConstantTreeNode; var constBeta = node.GetSubtree(0).GetSubtree(1) as ConstantTreeNode; constAlpha.Value = beta * constAlpha.Value + alpha; constBeta.Value = constBeta.Value * beta; return node; } else { var constAlpha = (ConstantTreeNode)constant.CreateTreeNode(); var constBeta = (ConstantTreeNode)constant.CreateTreeNode(); constAlpha.Value = alpha; constBeta.Value = beta; var sum = add.CreateTreeNode(); var prod = mul.CreateTreeNode(); prod.AddSubtree(node); prod.AddSubtree(constBeta); sum.AddSubtree(prod); sum.AddSubtree(constAlpha); return sum; } } } }