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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.

– Randomly generated particle positions in 2-d space. – Randomly generated velocity vectors for each particle in 2-d space. – For each swarm movement (iteration), each particle (agent) matches the velocity of its nearest neighbor to provide synchrony. – Random changes in velocities (craziness) are added in each iteration

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