Research on Particle Swarm Optimization Algorithm

Particle swarm optimization algorithm is put forward according to the simulation of migration of bird flight their food-searching and the group model,and is a novel stochastic optimization algorithm which can use to solve optimization problems. The models of bird flocking and swarm actions are firstly introduced,and the fundamentals characteristics and the working mechanisms of PSO algorithm are also analyzed. Then this paper introduces the optimization strategy of particle swarm optimization including improve the convergence rate,discrete algorithms,improve overall group diversity. Finally,some suggestion on future trends and existing problems related to PSO algorithm are discussed and concluded.