Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives

15 Apr 2018Saptarshi SenguptaSanchita BasakRichard Alan Peters II

Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has gained prominence in the last two decades due to its ease of application in unsupervised, complex multidimensional problems which cannot be solved using traditional deterministic algorithms. The canonical particle swarm optimizer is based on the flocking behavior and social co-operation of birds and fish schools and draws heavily from the evolutionary behavior of these organisms... (read more)

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