#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HEAL.Attic;
namespace HeuristicLab.Algorithms.ParticleSwarmOptimization {
[Item("ParticleSwarmOptimizationMainLoop", "An operator which represents the main loop of a particle swarm optimization algorithm.")]
[StorableType("C9824DCA-F791-4540-8EC8-F27C8FBC6BF5")]
public class ParticleSwarmOptimizationMainLoop : AlgorithmOperator {
#region Parameter Properties
public IValueLookupParameter RandomParameter {
get { return (IValueLookupParameter)Parameters["Random"]; }
}
public IValueLookupParameter SwarmSizeParameter {
get { return (IValueLookupParameter)Parameters["SwarmSize"]; }
}
public IValueLookupParameter MaxIterationsParameter {
get { return (IValueLookupParameter)Parameters["MaxIterations"]; }
}
public IValueLookupParameter AnalyzerParameter {
get { return (IValueLookupParameter)Parameters["Analyzer"]; }
}
public IValueLookupParameter InertiaParameter {
get { return (IValueLookupParameter)Parameters["CurrentInertia"]; }
}
public IValueLookupParameter PersonalBestAttractionParameter {
get { return (IValueLookupParameter)Parameters["PersonalBestAttraction"]; }
}
public IValueLookupParameter NeighborBestAttractionParameter {
get { return (IValueLookupParameter)Parameters["NeighborBestAttraction"]; }
}
public IValueLookupParameter ParticleUpdaterParameter {
get { return (IValueLookupParameter)Parameters["ParticleUpdater"]; }
}
public IValueLookupParameter TopologyUpdaterParameter {
get { return (IValueLookupParameter)Parameters["TopologyUpdater"]; }
}
public IValueLookupParameter InertiaUpdaterParameter {
get { return (IValueLookupParameter)Parameters["InertiaUpdater"]; }
}
public IValueLookupParameter ResultsParameter {
get { return (IValueLookupParameter)Parameters["Results"]; }
}
public LookupParameter EvaluatedSolutionsParameter {
get { return (LookupParameter)Parameters["EvaluatedSolutions"]; }
}
public IValueLookupParameter EvaluatorParameter {
get { return (IValueLookupParameter)Parameters["Evaluator"]; }
}
public ValueLookupParameter SwarmUpdaterParameter {
get { return (ValueLookupParameter)Parameters["SwarmUpdater"]; }
}
#endregion
public ParticleSwarmOptimizationMainLoop()
: base() {
Initialize();
}
[StorableConstructor]
protected ParticleSwarmOptimizationMainLoop(StorableConstructorFlag _) : base(_) { }
protected ParticleSwarmOptimizationMainLoop(ParticleSwarmOptimizationMainLoop original, Cloner cloner)
: base(original, cloner) {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new ParticleSwarmOptimizationMainLoop(this, cloner);
}
private void Initialize() {
#region Create parameters
Parameters.Add(new ValueLookupParameter("Random", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter("SwarmSize", "Size of the particle swarm."));
Parameters.Add(new ValueLookupParameter("MaxIterations", "Maximal number of iterations."));
Parameters.Add(new ValueLookupParameter("Analyzer", "The operator used to analyze each generation."));
Parameters.Add(new ValueLookupParameter("CurrentInertia", "Inertia weight on a particle's movement (omega)."));
Parameters.Add(new ValueLookupParameter("PersonalBestAttraction", "Weight for particle's pull towards its personal best soution (phi_p)."));
Parameters.Add(new ValueLookupParameter("NeighborBestAttraction", "Weight for pull towards the neighborhood best solution or global best solution in case of a totally connected topology (phi_g)."));
Parameters.Add(new ValueLookupParameter("ParticleUpdater", "Operator that calculates new position and velocity of a particle"));
Parameters.Add(new ValueLookupParameter("TopologyUpdater", "Updates the neighborhood description vectors"));
Parameters.Add(new ValueLookupParameter("InertiaUpdater", "Updates the omega parameter"));
Parameters.Add(new ValueLookupParameter("Evaluator", "Evaluates a particle solution."));
Parameters.Add(new ValueLookupParameter("Results", "The variable collection where results should be stored."));
Parameters.Add(new LookupParameter("EvaluatedSolutions", "The number of times solutions have been evaluated."));
Parameters.Add(new ValueLookupParameter("SwarmUpdater", "The encoding-specific swarm updater."));
#endregion
#region Create operators
ResultsCollector resultsCollector = new ResultsCollector();
Placeholder swarmUpdaterPlaceholer1 = new Placeholder();
Placeholder evaluatorPlaceholder = new Placeholder();
Placeholder analyzerPlaceholder = new Placeholder();
Placeholder analyzer2Placeholder = new Placeholder();
UniformSubScopesProcessor uniformSubScopeProcessor = new UniformSubScopesProcessor();
Placeholder particleUpdaterPlaceholder = new Placeholder();
Placeholder topologyUpdaterPlaceholder = new Placeholder();
UniformSubScopesProcessor evaluationProcessor = new UniformSubScopesProcessor();
Placeholder swarmUpdater = new Placeholder();
IntCounter iterationsCounter = new IntCounter();
Comparator iterationsComparator = new Comparator();
ConditionalBranch conditionalBranch = new ConditionalBranch();
Placeholder inertiaUpdaterPlaceholder = new Placeholder();
SubScopesCounter subScopesCounter = new SubScopesCounter();
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = resultsCollector;
resultsCollector.CollectedValues.Add(new LookupParameter("Iterations"));
resultsCollector.CollectedValues.Add(new LookupParameter("CurrentInertia"));
resultsCollector.CollectedValues.Add(new LookupParameter("Evaluated Solutions", null, "EvaluatedSolutions"));
resultsCollector.ResultsParameter.ActualName = "Results";
resultsCollector.Successor = swarmUpdaterPlaceholer1;
swarmUpdaterPlaceholer1.Name = "(Swarm Updater)";
swarmUpdaterPlaceholer1.OperatorParameter.ActualName = SwarmUpdaterParameter.ActualName;
swarmUpdaterPlaceholer1.Successor = analyzerPlaceholder;
analyzerPlaceholder.Name = "(Analyzer)";
analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
analyzerPlaceholder.Successor = uniformSubScopeProcessor;
uniformSubScopeProcessor.Operator = particleUpdaterPlaceholder;
uniformSubScopeProcessor.Successor = evaluationProcessor;
particleUpdaterPlaceholder.Name = "(ParticleUpdater)";
particleUpdaterPlaceholder.OperatorParameter.ActualName = ParticleUpdaterParameter.Name;
evaluationProcessor.Parallel = new BoolValue(true);
evaluationProcessor.Operator = evaluatorPlaceholder;
evaluationProcessor.Successor = subScopesCounter;
evaluatorPlaceholder.Name = "(Evaluator)";
evaluatorPlaceholder.OperatorParameter.ActualName = EvaluatorParameter.Name;
subScopesCounter.Name = "Increment EvaluatedSolutions";
subScopesCounter.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
subScopesCounter.Successor = topologyUpdaterPlaceholder;
topologyUpdaterPlaceholder.Name = "(TopologyUpdater)";
topologyUpdaterPlaceholder.OperatorParameter.ActualName = TopologyUpdaterParameter.Name;
topologyUpdaterPlaceholder.Successor = swarmUpdater;
swarmUpdater.Name = "(Swarm Updater)";
swarmUpdater.OperatorParameter.ActualName = SwarmUpdaterParameter.ActualName;
swarmUpdater.Successor = inertiaUpdaterPlaceholder;
inertiaUpdaterPlaceholder.Name = "(Inertia Updater)";
inertiaUpdaterPlaceholder.OperatorParameter.ActualName = InertiaUpdaterParameter.ActualName;
inertiaUpdaterPlaceholder.Successor = iterationsCounter;
iterationsCounter.Name = "Iterations++";
iterationsCounter.ValueParameter.ActualName = "Iterations";
iterationsCounter.Successor = iterationsComparator;
iterationsComparator.LeftSideParameter.ActualName = "Iterations";
iterationsComparator.Comparison = new Comparison(ComparisonType.Less);
iterationsComparator.RightSideParameter.ActualName = "MaxIterations";
iterationsComparator.ResultParameter.ActualName = "ContinueIteration";
iterationsComparator.Successor = conditionalBranch;
conditionalBranch.Name = "ContinueIteration?";
conditionalBranch.ConditionParameter.ActualName = "ContinueIteration";
conditionalBranch.TrueBranch = analyzerPlaceholder;
conditionalBranch.FalseBranch = analyzer2Placeholder;
analyzer2Placeholder.Name = "(Analyzer)";
analyzer2Placeholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
#endregion
}
public override IOperation Apply() {
if (this.ParticleUpdaterParameter.ActualValue == null)
return null;
return base.Apply();
}
}
}