wiki:Documentation/Reference/Particle Swarm Optimization

Version 2 (modified by mkofler, 11 years ago) (diff)

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Particle Swarm Optimization

Algorithm Parameters:

Parameter Description
Analyzer The operator used to analyze each generation.
Inertia Inertia weight on a particle's movement (omega). Default: -0.2
InertiaUpdater Updates the omega parameter.
MaxIterations The maximum number of iterations which should be processed.
MutationProbability The probability that the mutation operator is applied on a solution.
Mutator The operator used to mutate solutions.
NeighborBestAttraction Weight for pull towards the neighborhood best solution or global best solution in case of a totally connected topology (phi_g). Default: 3.7
ParticleCreator Operator creates a new particle.
ParticleUpdater Operator that updates a particle.
PersonalBestAttraction Weight for particle's pull towards its personal best soution (phi_p). Default: -0.01
Population Size The size of the population of solutions.
Seed The random seed used to initialize the new pseudo random number generator.
Selector The operator used to select solutions for reproduction.
SetSeedRandomly True if the random seed should be set to a random value, otherwise false.
SwarmSize Size of the particle swarm. Default: 10
SwarmUpdater Encoding-specific parameter which is provided by the problem.
TopologyInitializer Creates neighborhood description vectors.
TopologyUpdater Updates the neighborhood description vectors.

Is there a sample/tutorial?

References:

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