摘要
群集智能以其独特的优势得到了很多领域学者的关注,其理论和应用得到了很大的发展。作为群集智能的代表方法之一,粒子群优化算法PSO(particle swarm optimization,简称PSO)通过粒子之间的合作与竞争能够实现对多维复杂空间的高效搜索,得到最优解。本文对群集智能中的粒子群优化算法及其应用进行了概括。
The swarm intelligence is attracted by scholars in many fields by its special advantages,and its theories and applications have been developed greatly.As a representative method of swarm intelligence,particle swarm optimization（PSO） is an algorithm for searching the multidimensional complex space efficiently through cooperation and competition among the individuals in population of particles and obtains the optimal solutions.The review of the PSO and its applications is given in this paper.
出处
《微计算机信息》
2010年第30期34-35,10,共3页
Control & Automation
