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Particle Swarm Optimization (PSO) Mansour Nejati Introduction : Swarm Intelligence 2    Study of collective behavior in decentralized, selforganized systems. Originated from the study of colonies, or swarms of social organisms. Collective intelligence arises from interactions. Introduction 3  Particle Swarm Optimization:  Introduced by Kennedy & Eberhart 1995  Inspired by social behavior of birds and shoals of fish  Swarm intelligence-based optimization  Nondeterministic  Po
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  Particle Swarm Optimization (PSO)   Mansour Nejati  2 Introduction : Swarm Intelligence  Study of collective behavior in decentralized, self-organized systems.  Originated from the study of colonies, or swarms of social organisms.  Collective intelligence arises from interactions.  3 Introduction  Particle Swarm Optimization:  Introduced by Kennedy & Eberhart 1995  Inspired by social behavior of birds and shoals of fish  Swarm intelligence-based optimization  Nondeterministic  Population-based optimization  Performance comparable to Genetic algorithms  4 Particle Swarm Optimization  Swarm : a set of particles (S)  Particle: a potential solution  Position,  Velocity ,  Each particle maintains  Individual best position:  Swarm maintains its global best:
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