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Particle Swarm Optimization: Method and Applications

1 Rania Hassan 3/2004 Engineering Systems Division - Massachusetts Institute of TechnologyRania HassanRania HassanPostPost--doctoral Associatedoctoral AssociateEngineering Systems DivisionEngineering Systems DivisionParticle Swarm optimization : Method and ApplicationsParticle Swarm Optimization: Particle Swarm optimization : Method and ApplicationsMethod and Applications2 Rania Hassan 3/2004 Engineering Systems Division - Massachusetts Institute of TechnologyParticle Swarm OptimizationParticle Swarm OptimizationA pseudo- optimization Method (heuristic) inspired by the collective intelligence of swarms of biological of BirdsColonies of Insects3 Rania Hassan 3/2004 Engineering Systems Division - Massachusetts Institute of TechnologyParticle Swarm OptimizationParticle Swarm OptimizationA pseudo- optimization Method (heuristic) inspired by the collective intelligence of swarms of biological of FishHerds of Animals4 Rania Hassan 3/2004 Engineering Systems Division - Massachusetts Institute of TechnologyInventorsInventorsJames KennedySocial PsychologistUS Department of LaborRussell EberhartDean of Engineering Research Indiana Univ.

• Particle Description: each particle has three features – Position (this is the ith particle at time k, notice vector notation) – Velocity (similar to search direction, used to update the position) – Fitness or objective (determines which particle has the best value in

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