Finish Rolling Temperature Model Parameters Optimization Based on CPSO

摘要：

This paper set forth a chaos particle swarm algorithm. The location of particles is adjusted according to the individual adaptive value in this algorithm. This method ensures the speed of convergence as well as the global convergence. This algorithm has been applied in the parameters optimization of finish rolling temperature model. The experiments show the result of optimization is very good. It is possible that this method can be applied further.

关键词： chaos pso self-adaptation rolling

作者: LIU Huan XIAO Xiaohong GUO Kaiqiang XIAO Genfu XIE Shikun

作者单位: School of Information Science and Communication Jinggangshan University Jian 343009, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 473-476

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）