关键词: 粒子群算法, 适应值引导, 收敛

Abstract: Particle Swarm Optimization （PSO）, as a kind of intelligent algorithm, is widely applied to various fields. Through comparing with several common particle swarm optimization, this paper proposes PSO based on fitness direction, in order to increase the diversity of particle swarm, then speeds up convergence. Compared with other algorithm, experimental results show improved PSO based on fitness direction performs well on the rate of convergence and the convergence speed.

Key words: particle swarm optimization, fitness direction, convergence