Particle swarm optimization algorithm: an overview
on swarm, in which each individual is called a particle defined as a potential solution of the optimized problem in D-dimensional search space, and it can memorize the opti-mal position of the swarm and that of its own, as well as the velocity.Ineachgeneration,theparticlesinformationiscom-
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thesai.orgParticle swarm optimization (PSO) is proposed to find the coefficients aimed at obtaining optimal results [8]. Some previous researches such as Marini and Walzack [9], [10] show that PSO gets better results than other hybrid methods. There are several advantages of PSO, in the small search space PSO can do better solution search [11].
PARTICLE SWARM OPTIMIZATION (PSO)
www.cs.cmu.eduPARTICLE SWARM OPTIMIZATION (PSO) • A population based optimization technique inspired by social behavior of bird flocking/roosting or fish schooling • A PSO swarm member/agent (a particle) iteratively modifies a complete solution J. Kennedy and R. Eberhart, Particle Swarm Optimization. Proceedings of the Fourth IEEE