Particle swarm optimization algorithms and its applications

particle swarm optimization(PSO) algorithm is a novel evolutionary algorithm.It is a kind of stochastic global optimization technique.PSO finds optimal regions of complex search spaces through the interaction of individuals in a population of particles.The advantages of PSO lie in simple and powerful function.In this paper,classical particle swarm optimization algorithm,the present condition and some applications of the algorithms are introduced,and the possible research contents in future are also discussed.