Particle swarm optimization .28Kennedy .26 Eberhart 1995.29 List of metaphor-based metaheuristics

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particle swarm optimization (pso) computational method optimizes problem iteratively trying improve candidate solution regard given measure of quality. solves problem having population of candidate solutions, here dubbed particles, , moving these particles around in search-space according simple mathematical formulae on particle s position , velocity. each particle s movement influenced local best known position, guided toward best known positions in search-space, updated better positions found other particles. expected move swarm toward best solutions.


pso attributed kennedy, eberhart , shi , first intended simulating social behaviour, stylized representation of movement of organisms in bird flock or fish school. algorithm simplified , observed performing optimization. book kennedy , eberhart describes many philosophical aspects of pso , swarm intelligence. extensive survey of pso applications made poli. recently, comprehensive review on theoretical , experimental works on pso has been published bonyadi , michalewicz.








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