[3253] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[11646] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[3253] | 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
| 21 |
|
---|
[4722] | 22 | using HeuristicLab.Common;
|
---|
[4068] | 23 | using HeuristicLab.Core;
|
---|
[3253] | 24 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
|
---|
| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
[3269] | 26 | using HeuristicLab.Random;
|
---|
[5532] | 27 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
|
---|
[3253] | 28 | [StorableClass]
|
---|
[4022] | 29 | public class VariableTreeNode : SymbolicExpressionTreeTerminalNode {
|
---|
[3269] | 30 | public new Variable Symbol {
|
---|
| 31 | get { return (Variable)base.Symbol; }
|
---|
| 32 | }
|
---|
[3485] | 33 | [Storable]
|
---|
[3253] | 34 | private double weight;
|
---|
| 35 | public double Weight {
|
---|
| 36 | get { return weight; }
|
---|
| 37 | set { weight = value; }
|
---|
| 38 | }
|
---|
[3485] | 39 | [Storable]
|
---|
[3253] | 40 | private string variableName;
|
---|
| 41 | public string VariableName {
|
---|
| 42 | get { return variableName; }
|
---|
| 43 | set { variableName = value; }
|
---|
| 44 | }
|
---|
| 45 |
|
---|
[4722] | 46 | [StorableConstructor]
|
---|
| 47 | protected VariableTreeNode(bool deserializing) : base(deserializing) { }
|
---|
| 48 | protected VariableTreeNode(VariableTreeNode original, Cloner cloner)
|
---|
| 49 | : base(original, cloner) {
|
---|
[3253] | 50 | weight = original.weight;
|
---|
| 51 | variableName = original.variableName;
|
---|
| 52 | }
|
---|
[4722] | 53 | protected VariableTreeNode() { }
|
---|
[3253] | 54 | public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { }
|
---|
| 55 |
|
---|
[3442] | 56 | public override bool HasLocalParameters {
|
---|
[5467] | 57 | get { return true; }
|
---|
[3442] | 58 | }
|
---|
| 59 |
|
---|
[3269] | 60 | public override void ResetLocalParameters(IRandom random) {
|
---|
| 61 | base.ResetLocalParameters(random);
|
---|
[4989] | 62 | weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightMu, Symbol.WeightSigma);
|
---|
[3512] | 63 | variableName = Symbol.VariableNames.SelectRandom(random);
|
---|
[3269] | 64 | }
|
---|
| 65 |
|
---|
[3512] | 66 | public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
|
---|
| 67 | base.ShakeLocalParameters(random, shakingFactor);
|
---|
[5326] | 68 | // 50% additive & 50% multiplicative
|
---|
| 69 | if (random.NextDouble() < 0) {
|
---|
| 70 | double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorMu, Symbol.WeightManipulatorSigma);
|
---|
| 71 | weight = weight + x * shakingFactor;
|
---|
| 72 | } else {
|
---|
| 73 | double x = NormalDistributedRandom.NextDouble(random, 1.0, Symbol.MultiplicativeWeightManipulatorSigma);
|
---|
| 74 | weight = weight * x;
|
---|
| 75 | }
|
---|
[3512] | 76 | variableName = Symbol.VariableNames.SelectRandom(random);
|
---|
| 77 | }
|
---|
| 78 |
|
---|
[4722] | 79 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
| 80 | return new VariableTreeNode(this, cloner);
|
---|
[3253] | 81 | }
|
---|
[3442] | 82 |
|
---|
| 83 | public override string ToString() {
|
---|
[4239] | 84 | if (weight.IsAlmost(1.0)) return variableName;
|
---|
| 85 | else return weight.ToString("E4") + " " + variableName;
|
---|
[3442] | 86 | }
|
---|
[3253] | 87 | }
|
---|
| 88 | }
|
---|