Modelling of Biochemical Systems Using the Particle Swarm Optimization and Chaotic Theory

摘要：

In this work, the Particle Swarm Optimization (PSO) algorithm combined with chaotic theory was employed to modeling data of biochemical systems. For this purpose, three case studies will be applied with PSO as parameter estimation problems and examine the performance of the new developed methodology.

关键词： Particle Swamr Optimization parameter estimation large scale chaos: Henon map metabolic pathway

作者: Mingshou Lu Dongil Shin Hwan II Kang

作者单位: Dept.of Chemical Engineering Myongji University,Yongin,Gyeong-gi-do,449-728,Republic of Korea Dept.of Chemical,Information Eng.Myongji University Yongin,Gyeong-gi-do,449-728,South Korea

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 420-424

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）