关键词: 粒子群算法, 变异算子, 优化

Abstract: Particle swarm optimization algorithm is a stochastic global optimization technique. It has been successfully applied in many areas. PSO algorithm can be implemented with ease and few parameters need to be tuned. Based on the study on the principles of traditional PSO, mutation operator has been presented during the searching process in order to prevent from getting into the local optimum. The improved algorithm is applied to optimize several functions. The simulation results show its feasibility and validity.

Key words: Particle swarm optimization algorithm, mutation operator, optimization