[14237] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[17180] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[14237] | 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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[17604] | 22 | using System;
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[14237] | 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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[16565] | 26 | using HEAL.Attic;
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[14237] | 27 | using HeuristicLab.Random;
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| 28 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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[16565] | 29 | [StorableType("B92EF904-18EC-41FC-9123-9B9293246815")]
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[14238] | 30 | public abstract class VariableTreeNodeBase : SymbolicExpressionTreeTerminalNode, IVariableTreeNode {
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[14237] | 31 | public new VariableBase Symbol {
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| 32 | get { return (VariableBase)base.Symbol; }
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| 33 | }
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| 34 | [Storable]
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| 35 | private double weight;
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| 36 | public double Weight {
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| 37 | get { return weight; }
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| 38 | set { weight = value; }
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| 39 | }
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| 40 | [Storable]
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| 41 | private string variableName;
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| 42 | public string VariableName {
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| 43 | get { return variableName; }
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| 44 | set { variableName = value; }
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| 45 | }
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| 46 |
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[17604] | 47 | public override Type DataType {
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| 48 | get { return Symbol.VariableDataType; }
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| 49 | }
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| 50 |
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[14237] | 51 | [StorableConstructor]
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[16565] | 52 | protected VariableTreeNodeBase(StorableConstructorFlag _) : base(_) { }
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[14237] | 53 | protected VariableTreeNodeBase(VariableTreeNodeBase original, Cloner cloner)
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| 54 | : base(original, cloner) {
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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 | protected VariableTreeNodeBase() { }
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| 59 | protected VariableTreeNodeBase(VariableBase variableSymbol) : base(variableSymbol) { }
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| 60 |
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| 61 | public override bool HasLocalParameters {
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| 62 | get { return true; }
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| 63 | }
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| 64 |
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| 65 | public override void ResetLocalParameters(IRandom random) {
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| 66 | base.ResetLocalParameters(random);
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| 67 | weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightMu, Symbol.WeightSigma);
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| 68 |
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| 69 | #pragma warning disable 612, 618
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| 70 | variableName = Symbol.VariableNames.SelectRandom(random);
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| 71 | #pragma warning restore 612, 618
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| 72 | }
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| 73 |
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| 74 | public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
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| 75 | base.ShakeLocalParameters(random, shakingFactor);
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[14815] | 76 |
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[14824] | 77 | // 50% additive & 50% multiplicative (TODO: BUG in if statement below -> fix in HL 4.0!)
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[14826] | 78 | if (random.NextDouble() < 0) {
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[14237] | 79 | double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorMu, Symbol.WeightManipulatorSigma);
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| 80 | weight = weight + x * shakingFactor;
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| 81 | } else {
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| 82 | double x = NormalDistributedRandom.NextDouble(random, 1.0, Symbol.MultiplicativeWeightManipulatorSigma);
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| 83 | weight = weight * x;
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| 84 | }
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[14815] | 85 |
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[14831] | 86 | if (Symbol.VariableChangeProbability >= 1.0) {
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| 87 | // old behaviour for backwards compatibility
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| 88 | #region Backwards compatible code, remove with 3.4
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[14237] | 89 | #pragma warning disable 612, 618
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[14758] | 90 | variableName = Symbol.VariableNames.SelectRandom(random);
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[14237] | 91 | #pragma warning restore 612, 618
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[14831] | 92 | #endregion
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| 93 | } else if (random.NextDouble() < Symbol.VariableChangeProbability) {
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| 94 | var oldName = variableName;
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| 95 | variableName = Symbol.VariableNames.SampleRandom(random);
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[14826] | 96 | if (oldName != variableName) {
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[14831] | 97 | // re-initialize weight if the variable is changed
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[14758] | 98 | weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightMu, Symbol.WeightSigma);
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| 99 | }
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[14826] | 100 | }
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[14237] | 101 | }
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| 102 |
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| 103 | public override string ToString() {
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[14826] | 104 | if (weight.IsAlmost(1.0)) return variableName;
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[14237] | 105 | else return weight.ToString("E4") + " " + variableName;
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| 106 | }
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| 107 | }
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| 108 | }
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