Transcription of Particle Swarm Optimization: Method and Applications
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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) inspir
– No well established guidelines for swarm size, normally 15 to 30. – particles are randomly distributed across the design space. where and are vectors of lower and upper limit values respectively. – Evaluate the fitness of each particle and store: • particle best ever position (particle memory here is same as )
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