[3253] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 23 | using System;
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| 24 | using System.Collections.Generic;
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| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[3376] | 26 | using HeuristicLab.Common;
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[3269] | 27 | using HeuristicLab.Core;
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| 28 | using HeuristicLab.Data;
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| 29 | using HeuristicLab.Random;
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[3373] | 30 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
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[3253] | 31 | [StorableClass]
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[4022] | 32 | public class VariableTreeNode : SymbolicExpressionTreeTerminalNode {
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[3269] | 33 | public new Variable Symbol {
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| 34 | get { return (Variable)base.Symbol; }
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| 35 | }
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[3485] | 36 | [Storable]
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[3253] | 37 | private double weight;
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| 38 | public double Weight {
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| 39 | get { return weight; }
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| 40 | set { weight = value; }
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| 41 | }
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[3485] | 42 | [Storable]
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[3253] | 43 | private string variableName;
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| 44 | public string VariableName {
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| 45 | get { return variableName; }
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| 46 | set { variableName = value; }
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| 47 | }
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| 48 |
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[3485] | 49 |
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[4022] | 50 | protected VariableTreeNode() { }
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[3485] | 51 |
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[3253] | 52 | // copy constructor
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[4022] | 53 | protected VariableTreeNode(VariableTreeNode original)
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[3253] | 54 | : base(original) {
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| 55 | weight = original.weight;
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| 56 | variableName = original.variableName;
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| 57 | }
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| 58 |
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| 59 | public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { }
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| 60 |
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[3442] | 61 | public override bool HasLocalParameters {
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| 62 | get {
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| 63 | return true;
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| 64 | }
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| 65 | }
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| 66 |
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[3269] | 67 | public override void ResetLocalParameters(IRandom random) {
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| 68 | base.ResetLocalParameters(random);
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[3997] | 69 | weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightNu, Symbol.WeightSigma);
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[3512] | 70 | variableName = Symbol.VariableNames.SelectRandom(random);
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[3269] | 71 | }
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| 72 |
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[3512] | 73 | public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
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| 74 | base.ShakeLocalParameters(random, shakingFactor);
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[3997] | 75 | double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorNu, Symbol.WeightManipulatorSigma);
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[3512] | 76 | weight = weight + x * shakingFactor;
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| 77 | variableName = Symbol.VariableNames.SelectRandom(random);
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| 78 | }
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| 79 |
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| 80 |
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[3253] | 81 | public override object Clone() {
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| 82 | return new VariableTreeNode(this);
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| 83 | }
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[3442] | 84 |
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| 85 | public override string ToString() {
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[3465] | 86 | return weight.ToString("E4") + " " + variableName;
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[3442] | 87 | }
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[3253] | 88 | }
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| 89 | }
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