private ParticleSwarmOptimization(ParticleSwarmOptimization original, Cloner cloner)
: base(original, cloner)
{
qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
solutionsCreator = cloner.Clone(original.solutionsCreator);
mainLoop = cloner.Clone(original.mainLoop);
Initialize();
}
public ParticleSwarmOptimization()
: base()
{
Parameters.Add(new ValueParameter <IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter <BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ValueParameter <IntValue>("SwarmSize", "Size of the particle swarm.", new IntValue(40)));
Parameters.Add(new ValueParameter <IntValue>("MaxIterations", "Maximal number of iterations.", new IntValue(1000)));
Parameters.Add(new ValueParameter <MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
Parameters.Add(new ValueParameter <DoubleValue>("Inertia", "Inertia weight on a particle's movement (omega).", new DoubleValue(0.721)));
Parameters.Add(new ValueParameter <DoubleValue>("PersonalBestAttraction", "Weight for particle's pull towards its personal best soution (phi_p).", new DoubleValue(1.193)));
Parameters.Add(new ValueParameter <DoubleValue>("NeighborBestAttraction", "Weight for pull towards the neighborhood best solution or global best solution in case of a totally connected topology (phi_g).", new DoubleValue(1.193)));
Parameters.Add(new ConstrainedValueParameter <IParticleCreator>("ParticleCreator", "Operator that creates a new particle."));
Parameters.Add(new ConstrainedValueParameter <IParticleUpdater>("ParticleUpdater", "Operator that updates a particle."));
Parameters.Add(new OptionalConstrainedValueParameter <ITopologyInitializer>("TopologyInitializer", "Creates neighborhood description vectors."));
Parameters.Add(new OptionalConstrainedValueParameter <ITopologyUpdater>("TopologyUpdater", "Updates the neighborhood description vectors."));
Parameters.Add(new OptionalConstrainedValueParameter <IDiscreteDoubleValueModifier>("InertiaUpdater", "Updates the omega parameter."));
Parameters.Add(new ConstrainedValueParameter <ISwarmUpdater>("SwarmUpdater", "Encoding-specific parameter which is provided by the problem. May provide additional encoding-specific parameters, such as velocity bounds for real valued problems"));
RandomCreator randomCreator = new RandomCreator();
VariableCreator variableCreator = new VariableCreator();
Assigner currentInertiaAssigner = new Assigner();
solutionsCreator = new SolutionsCreator();
SubScopesCounter subScopesCounter = new SubScopesCounter();
Placeholder topologyInitializerPlaceholder = new Placeholder();
mainLoop = new ParticleSwarmOptimizationMainLoop();
OperatorGraph.InitialOperator = randomCreator;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.SeedParameter.Value = null;
randomCreator.Successor = variableCreator;
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Iterations", new IntValue(0)));
variableCreator.Successor = currentInertiaAssigner;
currentInertiaAssigner.Name = "CurrentInertia := Inertia";
currentInertiaAssigner.LeftSideParameter.ActualName = "CurrentInertia";
currentInertiaAssigner.RightSideParameter.ActualName = "Inertia";
currentInertiaAssigner.Successor = solutionsCreator;
solutionsCreator.NumberOfSolutionsParameter.ActualName = "SwarmSize";
ParameterizeSolutionsCreator();
solutionsCreator.Successor = subScopesCounter;
subScopesCounter.Name = "Initialize EvaluatedSolutions";
subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
subScopesCounter.Successor = topologyInitializerPlaceholder;
topologyInitializerPlaceholder.Name = "(TopologyInitializer)";
topologyInitializerPlaceholder.OperatorParameter.ActualName = "TopologyInitializer";
topologyInitializerPlaceholder.Successor = mainLoop;
mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
mainLoop.InertiaParameter.ActualName = "CurrentInertia";
mainLoop.MaxIterationsParameter.ActualName = MaxIterationsParameter.Name;
mainLoop.NeighborBestAttractionParameter.ActualName = NeighborBestAttractionParameter.Name;
mainLoop.InertiaUpdaterParameter.ActualName = InertiaUpdaterParameter.Name;
mainLoop.ParticleUpdaterParameter.ActualName = ParticleUpdaterParameter.Name;
mainLoop.PersonalBestAttractionParameter.ActualName = PersonalBestAttractionParameter.Name;
mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
mainLoop.SwarmSizeParameter.ActualName = SwarmSizeParameter.Name;
mainLoop.TopologyUpdaterParameter.ActualName = TopologyUpdaterParameter.Name;
mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
mainLoop.ResultsParameter.ActualName = "Results";
InitializeAnalyzers();
InitializeParticleCreator();
InitializeSwarmUpdater();
ParameterizeSolutionsCreator();
UpdateAnalyzers();
UpdateInertiaUpdater();
InitInertiaUpdater();
UpdateTopologyInitializer();
Initialize();
ParameterizeMainLoop();
}
public ParticleSwarmOptimization()
: base() {
Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ValueParameter<IntValue>("SwarmSize", "Size of the particle swarm.", new IntValue(10)));
Parameters.Add(new ValueParameter<IntValue>("MaxIterations", "Maximal number of iterations.", new IntValue(1000)));
Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
Parameters.Add(new ValueParameter<DoubleValue>("Inertia", "Inertia weight on a particle's movement (omega).", new DoubleValue(1)));
Parameters.Add(new ValueParameter<DoubleValue>("PersonalBestAttraction", "Weight for particle's pull towards its personal best soution (phi_p).", new DoubleValue(-0.01)));
Parameters.Add(new ValueParameter<DoubleValue>("NeighborBestAttraction", "Weight for pull towards the neighborhood best solution or global best solution in case of a totally connected topology (phi_g).", new DoubleValue(3.7)));
Parameters.Add(new ConstrainedValueParameter<IParticleCreator>("ParticleCreator", "Operator that creates a new particle."));
Parameters.Add(new ConstrainedValueParameter<IParticleUpdater>("ParticleUpdater", "Operator that updates a particle."));
Parameters.Add(new OptionalConstrainedValueParameter<ITopologyInitializer>("TopologyInitializer", "Creates neighborhood description vectors."));
Parameters.Add(new OptionalConstrainedValueParameter<ITopologyUpdater>("TopologyUpdater", "Updates the neighborhood description vectors."));
Parameters.Add(new OptionalConstrainedValueParameter<IDiscreteDoubleValueModifier>("InertiaUpdater", "Updates the omega parameter."));
Parameters.Add(new ConstrainedValueParameter<ISwarmUpdater>("SwarmUpdater", "Encoding-specific parameter which is provided by the problem. May provide additional encoding-specific parameters, such as velocity bounds for real valued problems"));
ParticleUpdaterParameter.Hidden = true;
RandomCreator randomCreator = new RandomCreator();
VariableCreator variableCreator = new VariableCreator();
Assigner currentInertiaAssigner = new Assigner();
solutionsCreator = new SolutionsCreator();
SubScopesCounter subScopesCounter = new SubScopesCounter();
Placeholder topologyInitializerPlaceholder = new Placeholder();
mainLoop = new ParticleSwarmOptimizationMainLoop();
OperatorGraph.InitialOperator = randomCreator;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.SeedParameter.Value = null;
randomCreator.Successor = variableCreator;
variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Iterations", new IntValue(0)));
variableCreator.Successor = currentInertiaAssigner;
currentInertiaAssigner.Name = "CurrentInertia := Inertia";
currentInertiaAssigner.LeftSideParameter.ActualName = "CurrentInertia";
currentInertiaAssigner.RightSideParameter.ActualName = "Inertia";
currentInertiaAssigner.Successor = solutionsCreator;
solutionsCreator.NumberOfSolutionsParameter.ActualName = "SwarmSize";
ParameterizeSolutionsCreator();
solutionsCreator.Successor = subScopesCounter;
subScopesCounter.Name = "Initialize EvaluatedSolutions";
subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
subScopesCounter.Successor = topologyInitializerPlaceholder;
topologyInitializerPlaceholder.Name = "(TopologyInitializer)";
topologyInitializerPlaceholder.OperatorParameter.ActualName = "TopologyInitializer";
topologyInitializerPlaceholder.Successor = mainLoop;
mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
mainLoop.InertiaParameter.ActualName = "CurrentInertia";
mainLoop.MaxIterationsParameter.ActualName = MaxIterationsParameter.Name;
mainLoop.NeighborBestAttractionParameter.ActualName = NeighborBestAttractionParameter.Name;
mainLoop.InertiaUpdaterParameter.ActualName = InertiaUpdaterParameter.Name;
mainLoop.ParticleUpdaterParameter.ActualName = ParticleUpdaterParameter.Name;
mainLoop.PersonalBestAttractionParameter.ActualName = PersonalBestAttractionParameter.Name;
mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
mainLoop.SwarmSizeParameter.ActualName = SwarmSizeParameter.Name;
mainLoop.TopologyUpdaterParameter.ActualName = TopologyUpdaterParameter.Name;
mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
mainLoop.ResultsParameter.ActualName = "Results";
InitializeAnalyzers();
InitializeParticleCreator();
InitializeSwarmUpdater();
ParameterizeSolutionsCreator();
UpdateAnalyzers();
UpdateInertiaUpdater();
InitInertiaUpdater();
UpdateTopologyInitializer();
Initialize();
ParameterizeMainLoop();
}
private ParticleSwarmOptimization(ParticleSwarmOptimization original, Cloner cloner)
: base(original, cloner) {
qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
solutionsCreator = cloner.Clone(original.solutionsCreator);
mainLoop = cloner.Clone(original.mainLoop);
Initialize();
}
protected ParticleSwarmOptimizationMainLoop(ParticleSwarmOptimizationMainLoop original, Cloner cloner)
: base(original, cloner) {
}
protected ParticleSwarmOptimizationMainLoop(ParticleSwarmOptimizationMainLoop original, Cloner cloner)
: base(original, cloner)
{
}
