The Improvement of Particle Swarm Optimization with Social Stereotyping Ideology

摘要：

The Particle Swarm Optimization (PSO) has been wide used in filed of logistics. Theimprovement of PSO with Social Stereotyping Ideology is researched in this paper.The particle is updatednot only by the best previous position and the best position among all the particles in the swarm, but alsoby the best previous position of the most particles in common tend to.Aim to balance these merits anddemerits between hunting in local and exploitation in whole,and convergence to the global optimumsolution,a linearly varying acceleration coefficient over the generations is introduced.The results showthat the algorithm has better probability of finding global optimum and mean best value than othcrsalgorithm and better enhance the ability of hunt best.

关键词： Particle Swarm Optimization Social Stereotyping optimization

作者: LI Zhnangkuo CHENG Xiaolan

作者单位: School of Business,Guilin University of Electronic Science and Technology,Guilin,China,541004

会议类型: 国际会议

会议名称: The 3rd International Conference on Logistics and Supply Chain Management 2010(第三届物流与供应链管理国际研讨会)

会议地点: 长沙

会议语种:英文

页码: 315-319

在线出版日期: 2010-07-18（万方平台首次上网日期，不代表论文的发表时间）