摘要
针对基本粒子群算法易陷入局部极小点、搜索精度不高等缺点,在算法改进方面引用差分演化算法的变异操作提出了差分演化的PSO算法,并用matlab仿真证明该算法的可行性。
Basic theories, contemporary research status and developing trend of particle swarm optimization (PSO) are illustrated. Then, major problems in the theory and application research of swarm intelligence in current stage are discussed. Problems related to basic characteristic and parameters setting are discussed in this dissertation. Absorbed the aberrance operate in differential evolution, a new particle swarm optimization algorithms is designed and proved by matlab.
出处
《科学技术与工程》
2007年第8期1628-1630,1656,共4页
Science Technology and Engineering
关键词
微粒群
优化算法
智能优化
差分演化
particle swarm optimization algorithms intelligence optimization differential evolution