Overview Applications and Research on Particle Swarm Optimization Algorithm

Particle swarm optimization(PSO) is a new optimization technique based on swarm intelligent search that completes the optimization through following the personal best solution of each particle and the global best value of the whole swarm.PSO with better global optimization capability can be easily implemented with simple algorithm and few parameters need.It has been successfully applied in science and engineering practice.In this paper,the basic principles of PSO and its various improved algorithms are introduced at length,research hot issues and the application fields are analyzed and some future research directions about PSO are discussed.