Research of PSO Parameters Based on Multi-Task Scheduling Problem

摘要：

The choice of parameters in PSO is an important study direction,the setup of parameters depend on experience,which bring a big workload and make it hard to get optimal parameters combination and aslo affect the use of the PSO.Aiming at this instance,this paper make experiment and analysis for important parameters such as population size, acceleration coefficient and inertia weight based on the study background of multi-task scheduling and put forward strategy for setting parameters. The experimentation prove that the strategy for setting parameters possesses certain applied worth.

作者: Yun Wu Guangming Dai Xiang Li Zuan Zhou

作者单位: School of Computer Science of China University of Geosciences(WuHan), China School of Computer Science of China University of Geosciences(WuHan) China

会议类型: 国际会议

会议名称: Third International Symposium on Intelligence Computation and Applications(ISICA 2008)(第三届智能自动化、计算与制造国际研讨会)

会议地点: 武汉

会议语种:英文

页码: 11-14

在线出版日期: 2008-12-19（万方平台首次上网日期，不代表论文的发表时间）