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 System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Encodings.RealVectorEncoding;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Operators;
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31 | using HeuristicLab.Optimization.Operators;
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32 | using HeuristicLab.Parameters;
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33 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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34 | using HeuristicLab.PluginInfrastructure;
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35 | using HeuristicLab.Random;
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36 |
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37 | namespace HeuristicLab.Algorithms.ParticleSwarmOptimization {
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38 | [Item("Particle Swarm Optimization", "A particle swarm optimization algorithm.")]
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39 | [Creatable("Algorithms")]
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40 | [StorableClass]
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41 | public sealed class ParticleSwarmOptimization : EngineAlgorithm {
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42 | #region Problem Properties
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43 | public override Type ProblemType {
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44 | get { return typeof(ISingleObjectiveProblem); }
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45 | }
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46 | public new ISingleObjectiveProblem Problem {
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47 | get { return (ISingleObjectiveProblem)base.Problem; }
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48 | set { base.Problem = value; }
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49 | }
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50 | public IRealVectorEncoder Encoder {
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51 | get { return EncoderParameter.Value; }
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52 | set { EncoderParameter.Value = value; }
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53 | }
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54 | #endregion
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55 |
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56 | #region Parameter Properties
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57 | private ValueParameter<IntValue> SeedParameter {
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58 | get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
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59 | }
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60 | private ValueParameter<BoolValue> SetSeedRandomlyParameter {
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61 | get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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62 | }
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63 | private ValueParameter<IntValue> SwarmSizeParameter {
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64 | get { return (ValueParameter<IntValue>)Parameters["SwarmSize"]; }
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65 | }
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66 | private ValueParameter<IntValue> MaxIterationsParameter {
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67 | get { return (ValueParameter<IntValue>)Parameters["MaxIterations"]; }
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68 | }
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69 | private OptionalConstrainedValueParameter<IRealVectorEncoder> EncoderParameter {
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70 | get { return (OptionalConstrainedValueParameter<IRealVectorEncoder>)Parameters["Encoder"]; }
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71 | }
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72 | #endregion
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73 |
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74 | #region Properties
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75 | [StorableAttribute]
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76 | private ParticleSwarmOptimizationMainLoop mainLoop; // Check this !
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77 | private ParticleSwarmOptimizationMainLoop MainLoop {
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78 | get { return mainLoop; }
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79 | }
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80 | #endregion
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81 |
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82 | public ParticleSwarmOptimization()
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83 | : base() {
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84 | Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
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85 | Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
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86 | Parameters.Add(new ValueParameter<IntValue>("SwarmSize", "Size of the particle swarm.", new IntValue(1)));
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87 | Parameters.Add(new ValueParameter<IntValue>("MaxIterations", "Maximal number of iterations.", new IntValue(1000)));
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88 | Parameters.Add(new OptionalConstrainedValueParameter<IRealVectorEncoder>("Encoder", "The operator used to encode solutions as position vector."));
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89 | //Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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90 | RandomCreator randomCreator = new RandomCreator();
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91 | SolutionsCreator solutionsCreator = new SolutionsCreator();
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92 | UniformSubScopesProcessor uniformSubScopesProcessor = new UniformSubScopesProcessor();
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93 | VariableCreator variableCreator = new VariableCreator();
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94 | variableCreator.CollectedValues.Add(new ValueParameter<RealVector>("Velocity", new RealVector()));
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95 | //solutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreator.Name;
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96 | //mainLoop = new ParticleSwarmOptimizationMainLoop();
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97 | OperatorGraph.InitialOperator = randomCreator;
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98 |
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99 | randomCreator.RandomParameter.ActualName = "Random";
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100 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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101 | randomCreator.SeedParameter.Value = null;
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102 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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103 | randomCreator.SetSeedRandomlyParameter.Value = null;
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104 | randomCreator.Successor = solutionsCreator;
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105 |
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106 | solutionsCreator.NumberOfSolutionsParameter.ActualName = SwarmSizeParameter.Name;
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107 | solutionsCreator.Successor = variableCreator;
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108 | variableCreator.Successor = uniformSubScopesProcessor;
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109 |
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110 |
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111 | //evaluator.Successor = mainLoop;
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112 | //mainLoop.EncoderParameter.ActualName = EncoderParameter.Name;
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113 |
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114 | Initialize();
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115 | }
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116 |
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117 | [StorableHook(HookType.AfterDeserialization)]
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118 | private void Initialize() {
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119 | EncoderParameter.ValueChanged += new EventHandler(EncoderParameter_ValueChanged);
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120 | }
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121 |
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122 | [StorableConstructor]
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123 | private ParticleSwarmOptimization(bool deserializing) : base(deserializing) { }
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124 |
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125 | public override IDeepCloneable Clone(Cloner cloner) {
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126 | ParticleSwarmOptimization clone = (ParticleSwarmOptimization)base.Clone(cloner);
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127 | clone.Initialize();
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128 | return clone;
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129 | }
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130 |
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131 | public override void Prepare() {
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132 | if (Problem != null) base.Prepare();
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133 | }
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134 |
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135 | #region Events
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136 | protected override void OnProblemChanged() {
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137 | //ParameterizeStochasticOperator(Problem.SolutionCreator);
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138 | //ParameterizeStochasticOperator(Problem.Evaluator);
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139 | //ParameterizeStochasticOperator(Problem.Visualizer);
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140 | //foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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141 | //ParameterizeSolutionsCreator();
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142 | //ParameterizeMainLoop();
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143 | UpdateEncoders();
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144 | //UpdateMutators();
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145 | //Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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146 | base.OnProblemChanged();
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147 | }
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148 |
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149 | private void EncoderParameter_ValueChanged(object sender, EventArgs e) {
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150 | ((UniformSubScopesProcessor)((SolutionsCreator)((RandomCreator)OperatorGraph.InitialOperator).Successor).Successor).Operator = EncoderParameter.Value;
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151 | }
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152 | #endregion
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153 |
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154 | #region Helpers
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155 |
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156 | private void UpdateEncoders() {
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157 | IRealVectorEncoder oldEncoder = EncoderParameter.Value;
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158 | EncoderParameter.ValidValues.Clear();
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159 | foreach (IRealVectorEncoder encoder in Problem.Operators.OfType<IRealVectorEncoder>().OrderBy(x => x.Name)) {
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160 | EncoderParameter.ValidValues.Add(encoder);
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161 | encoder.RealVectorParameter.ActualName = "Position";
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162 | }
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163 | if (oldEncoder != null) {
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164 | IRealVectorEncoder encoder = EncoderParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldEncoder.GetType());
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165 | if (encoder != null) EncoderParameter.Value = encoder;
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166 | }
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167 | }
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168 |
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169 | #endregion
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170 | }
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171 | }
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