关键词: 群智能, 粒子群优化, 基因变异

Abstract: Particle Swarm Optimization（PSO） is one of important Swarm Intelligence（SI） methods.The premature convergence and lower local search performance are drawbacks of PSO.This paper proposes a novel Gene Mutation PSO（GMPSO），some components of particles mutate according to the probability，a lot of experiments are taken.The results of the research and experiments indicate that the method can obviously improve the performance of PSO，it is credible in theory and feasible in technique.

Key words: swarm intelligence, particle swarm optimization, gene mutation