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();
}
private ParticleSwarmOptimization CreatePsoSchwefelSample() {
ParticleSwarmOptimization pso = new ParticleSwarmOptimization();
#region Problem Configuration
var problem = new SingleObjectiveTestFunctionProblem();
problem.BestKnownQuality.Value = 0.0;
problem.BestKnownSolutionParameter.Value = new RealVector(new double[] { 420.968746, 420.968746 });
problem.Bounds = new DoubleMatrix(new double[,] { { -500, 500 } });
problem.EvaluatorParameter.Value = new SchwefelEvaluator();
problem.Maximization.Value = false;
problem.ProblemSize.Value = 2;
problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
#endregion
#region Algorithm Configuration
pso.Name = "Particle Swarm Optimization - Schwefel";
pso.Description = "A particle swarm optimization algorithm which solves the 2-dimensional Schwefel test function (based on the description in Pedersen, M.E.H. (2010). PhD thesis. University of Southampton)";
pso.Problem = problem;
pso.Inertia.Value = 10;
pso.MaxIterations.Value = 1000;
pso.NeighborBestAttraction.Value = 0.5;
pso.PersonalBestAttraction.Value = -0.01;
pso.SwarmSize.Value = 50;
var inertiaUpdater = pso.InertiaUpdaterParameter.ValidValues
.OfType<ExponentialDiscreteDoubleValueModifier>()
.Single();
inertiaUpdater.StartValueParameter.Value = new DoubleValue(10);
inertiaUpdater.EndValueParameter.Value = new DoubleValue(1);
pso.InertiaUpdater = inertiaUpdater;
pso.ParticleCreator = pso.ParticleCreatorParameter.ValidValues
.OfType<RealVectorParticleCreator>()
.Single();
var swarmUpdater = pso.SwarmUpdaterParameter.ValidValues
.OfType<RealVectorSwarmUpdater>()
.Single();
swarmUpdater.VelocityBoundsIndexParameter.ActualName = "Iterations";
swarmUpdater.VelocityBoundsParameter.Value = new DoubleMatrix(new double[,] { { -10, 10 } });
swarmUpdater.VelocityBoundsStartValueParameter.Value = new DoubleValue(10.0);
swarmUpdater.VelocityBoundsEndValueParameter.Value = new DoubleValue(1.0);
swarmUpdater.VelocityBoundsScalingOperatorParameter.Value = swarmUpdater.VelocityBoundsScalingOperatorParameter.ValidValues
.OfType<ExponentialDiscreteDoubleValueModifier>()
.Single();
pso.TopologyInitializer = null;
pso.TopologyUpdater = null;
pso.SwarmUpdater = swarmUpdater;
pso.Seed.Value = 0;
pso.SetSeedRandomly.Value = true;
#endregion
pso.Engine = new ParallelEngine.ParallelEngine();
return pso;
}
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();
}