#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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 System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Operators;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;
namespace HeuristicLab.Algorithms.ParticleSwarmOptimization {
[Item("Particle Swarm Optimization", "A particle swarm optimization algorithm.")]
[Creatable("Algorithms")]
[StorableClass]
public sealed class ParticleSwarmOptimization : EngineAlgorithm {
#region Problem Properties
public override Type ProblemType {
get { return typeof(ISingleObjectiveProblem); }
}
public new ISingleObjectiveProblem Problem {
get { return (ISingleObjectiveProblem)base.Problem; }
set { base.Problem = value; }
}
#endregion
#region Parameter Properties
private ValueParameter SeedParameter {
get { return (ValueParameter)Parameters["Seed"]; }
}
private ValueParameter SetSeedRandomlyParameter {
get { return (ValueParameter)Parameters["SetSeedRandomly"]; }
}
private ValueParameter SwarmSizeParameter {
get { return (ValueParameter)Parameters["SwarmSize"]; }
}
private ValueParameter MaxIterationsParameter {
get { return (ValueParameter)Parameters["MaxIterations"]; }
}
private OptionalConstrainedValueParameter EncoderParameter {
get { return (OptionalConstrainedValueParameter)Parameters["Encoder"]; }
}
#endregion
#region Properties
[StorableAttribute]
private ParticleSwarmOptimizationMainLoop mainLoop; // Check this !
private ParticleSwarmOptimizationMainLoop MainLoop {
get { return mainLoop; }
}
#endregion
public ParticleSwarmOptimization()
: base() {
Parameters.Add(new ValueParameter("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ValueParameter("SwarmSize", "Size of the particle swarm.", new IntValue(1)));
Parameters.Add(new ValueParameter("MaxIterations", "Maximal number of iterations.", new IntValue(1000)));
Parameters.Add(new OptionalConstrainedValueParameter("Encoder", "The operator used to encode solutions as position vector."));
//Parameters.Add(new ConstrainedValueParameter("Mutator", "The operator used to mutate solutions."));
RandomCreator randomCreator = new RandomCreator();
SolutionsCreator solutionsCreator = new SolutionsCreator();
//solutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreator.Name;
mainLoop = new ParticleSwarmOptimizationMainLoop();
OperatorGraph.InitialOperator = randomCreator;
randomCreator.RandomParameter.ActualName = "Random";
randomCreator.SeedParameter.ActualName = SeedParameter.Name;
randomCreator.SeedParameter.Value = null;
randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.Successor = solutionsCreator;
solutionsCreator.NumberOfSolutionsParameter.ActualName = SwarmSizeParameter.Name;
solutionsCreator.Successor = mainLoop;
mainLoop.EncoderParameter.ActualName = EncoderParameter.Name;
Initialize();
}
private void Initialize() {
}
[StorableConstructor]
private ParticleSwarmOptimization(bool deserializing) : base(deserializing) { }
public override IDeepCloneable Clone(Cloner cloner) {
ParticleSwarmOptimization clone = (ParticleSwarmOptimization)base.Clone(cloner);
clone.Initialize();
return clone;
}
public override void Prepare() {
if (Problem != null) base.Prepare();
}
#region Events
protected override void OnProblemChanged() {
//ParameterizeStochasticOperator(Problem.SolutionCreator);
//ParameterizeStochasticOperator(Problem.Evaluator);
//ParameterizeStochasticOperator(Problem.Visualizer);
//foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
//ParameterizeSolutionsCreator();
//ParameterizeMainLoop();
UpdateEncoders();
//UpdateMutators();
//Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
base.OnProblemChanged();
}
#endregion
#region Helpers
private void UpdateEncoders() {
IRealVectorEncoder oldEncoder = EncoderParameter.Value;
EncoderParameter.ValidValues.Clear();
foreach (IRealVectorEncoder encoder in Problem.Operators.OfType().OrderBy(x => x.Name)) {
EncoderParameter.ValidValues.Add(encoder);
//encoder.RealVectorParameter.ActualName
}
if (oldEncoder != null) {
IRealVectorEncoder encoder = EncoderParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldEncoder.GetType());
if (encoder != null) EncoderParameter.Value = encoder;
}
}
#endregion
}
}