关键词: 简化粒子群优化算法, 收敛, 改进

Abstract: In order to improve the convergence speed and search accuracy of Particle Swarm Optimization algorithm, enhance the algorithm’s ability to jump out of the local extremum and find the global extremum, an improved Simple Particle Swarm Optimization algorithm is given. The algorithm takes the influence of particle inertia, the individual experience and global experience into account and improves the position update formula. The improved algorithm can overcome shortcomings of slow convergence and easy to fall into local extremum. Standard functions test results show that the algorithm’s convergence speed and search accuracy have been greatly improved.

Key words: Simple Particle Swarm Optimization（SPSO）, convergence, improve