[2] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
| 3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
| 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 |
|
---|
| 22 | using System;
|
---|
| 23 | using System.Collections.Generic;
|
---|
| 24 | using System.Text;
|
---|
| 25 | using HeuristicLab.Core;
|
---|
| 26 | using HeuristicLab.Data;
|
---|
| 27 | using HeuristicLab.Constraints;
|
---|
| 28 |
|
---|
| 29 | namespace HeuristicLab.Random {
|
---|
| 30 | public class NormalRandomizer : OperatorBase {
|
---|
| 31 | private static int MAX_NUMBER_OF_TRIES = 100;
|
---|
| 32 |
|
---|
| 33 | public override string Description {
|
---|
| 34 | get { return "Initializes the value of variable 'Value' to a random value normally distributed with 'Mu' and 'Sigma'."; }
|
---|
| 35 | }
|
---|
| 36 |
|
---|
[426] | 37 | public double Mu {
|
---|
| 38 | get { return ((DoubleData)GetVariable("Mu").Value).Data; }
|
---|
| 39 | set { ((DoubleData)GetVariable("Mu").Value).Data = value; }
|
---|
| 40 | }
|
---|
| 41 | public double Sigma {
|
---|
| 42 | get { return ((DoubleData)GetVariable("Sigma").Value).Data; }
|
---|
| 43 | set { ((DoubleData)GetVariable("Sigma").Value).Data = value; }
|
---|
| 44 | }
|
---|
| 45 |
|
---|
[2] | 46 | public NormalRandomizer() {
|
---|
| 47 | AddVariableInfo(new VariableInfo("Mu", "Parameter mu of the normal distribution", typeof(DoubleData), VariableKind.None));
|
---|
| 48 | GetVariableInfo("Mu").Local = true;
|
---|
| 49 | AddVariable(new Variable("Mu", new DoubleData(0.0)));
|
---|
| 50 |
|
---|
| 51 | AddVariableInfo(new VariableInfo("Sigma", "Parameter sigma of the normal distribution", typeof(DoubleData), VariableKind.None));
|
---|
| 52 | GetVariableInfo("Sigma").Local = true;
|
---|
[183] | 53 | AddVariable(new Variable("Sigma", new DoubleData(1.0)));
|
---|
[2] | 54 |
|
---|
| 55 | AddVariableInfo(new VariableInfo("Value", "The value to manipulate (actual type is one of: IntData, DoubleData, ConstrainedIntData, ConstrainedDoubleData)", typeof(IObjectData), VariableKind.In));
|
---|
| 56 | AddVariableInfo(new VariableInfo("Random", "The random generator to use", typeof(MersenneTwister), VariableKind.In));
|
---|
| 57 | }
|
---|
| 58 |
|
---|
| 59 | public override IOperation Apply(IScope scope) {
|
---|
| 60 | IObjectData value = GetVariableValue<IObjectData>("Value", scope, false);
|
---|
| 61 | MersenneTwister mt = GetVariableValue<MersenneTwister>("Random", scope, true);
|
---|
| 62 | double mu = GetVariableValue<DoubleData>("Mu", null, false).Data;
|
---|
| 63 | double sigma = GetVariableValue<DoubleData>("Sigma", null, false).Data;
|
---|
| 64 | NormalDistributedRandom normal = new NormalDistributedRandom(mt, mu, sigma);
|
---|
| 65 |
|
---|
| 66 | value.Accept(new RandomizerVisitor(normal));
|
---|
| 67 |
|
---|
| 68 | return null;
|
---|
| 69 | }
|
---|
| 70 |
|
---|
| 71 | private class RandomizerVisitor : ObjectDataVisitorBase {
|
---|
| 72 | private NormalDistributedRandom normal;
|
---|
| 73 |
|
---|
| 74 | public RandomizerVisitor(NormalDistributedRandom normal) {
|
---|
| 75 | this.normal = normal;
|
---|
| 76 | }
|
---|
| 77 |
|
---|
| 78 | public override void Visit(ConstrainedDoubleData data) {
|
---|
| 79 | for(int tries = MAX_NUMBER_OF_TRIES; tries >= 0; tries--) {
|
---|
| 80 | double r = normal.NextDouble();
|
---|
| 81 |
|
---|
| 82 | if(IsIntegerConstrained(data)) {
|
---|
| 83 | r = Math.Round(r);
|
---|
| 84 | }
|
---|
| 85 |
|
---|
| 86 | if(data.TrySetData(r)) {
|
---|
| 87 | return;
|
---|
| 88 | }
|
---|
| 89 | }
|
---|
| 90 | throw new InvalidProgramException("Couldn't find a valid value in 100 tries with mu=" + normal.Mu + " sigma=" + normal.Sigma);
|
---|
| 91 | }
|
---|
| 92 |
|
---|
| 93 | public override void Visit(ConstrainedIntData data) {
|
---|
| 94 |
|
---|
| 95 | for(int tries = MAX_NUMBER_OF_TRIES; tries >= 0; tries--) {
|
---|
| 96 | double r = normal.NextDouble();
|
---|
| 97 | if(data.TrySetData((int)Math.Round(r)))
|
---|
| 98 | return;
|
---|
| 99 | }
|
---|
| 100 |
|
---|
| 101 | throw new InvalidProgramException("Couldn't find a valid value");
|
---|
| 102 | }
|
---|
| 103 |
|
---|
| 104 | public override void Visit(DoubleData data) {
|
---|
| 105 | data.Data = normal.NextDouble();
|
---|
| 106 | }
|
---|
| 107 |
|
---|
| 108 | public override void Visit(IntData data) {
|
---|
| 109 | data.Data = (int)Math.Round(normal.NextDouble());
|
---|
| 110 | }
|
---|
| 111 |
|
---|
| 112 |
|
---|
| 113 | private bool IsIntegerConstrained(ConstrainedDoubleData data) {
|
---|
| 114 | foreach(IConstraint constraint in data.Constraints) {
|
---|
| 115 | if(constraint is IsIntegerConstraint) {
|
---|
| 116 | return true;
|
---|
| 117 | }
|
---|
| 118 | }
|
---|
| 119 | return false;
|
---|
| 120 | }
|
---|
| 121 | }
|
---|
| 122 | }
|
---|
| 123 | }
|
---|