#region License Information /* HeuristicLab * Copyright (C) 2002-2010 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.Encodings.SymbolicExpressionTreeEncoding; using System; using System.Collections.Generic; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Random; namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols { [StorableClass] public class VariableTreeNode : SymbolicExpressionTreeTerminalNode { public new Variable Symbol { get { return (Variable)base.Symbol; } } [Storable] private double weight; public double Weight { get { return weight; } set { weight = value; } } [Storable] private string variableName; public string VariableName { get { return variableName; } set { variableName = value; } } protected VariableTreeNode() { } // copy constructor protected VariableTreeNode(VariableTreeNode original) : base(original) { weight = original.weight; variableName = original.variableName; } public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { } public override bool HasLocalParameters { get { return true; } } public override void ResetLocalParameters(IRandom random) { base.ResetLocalParameters(random); weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightNu, Symbol.WeightSigma); variableName = Symbol.VariableNames.SelectRandom(random); } public override void ShakeLocalParameters(IRandom random, double shakingFactor) { base.ShakeLocalParameters(random, shakingFactor); double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorNu, Symbol.WeightManipulatorSigma); weight = weight + x * shakingFactor; variableName = Symbol.VariableNames.SelectRandom(random); } public override object Clone() { return new VariableTreeNode(this); } public override string ToString() { return weight.ToString("E4") + " " + variableName; } } }