Comparison of lterative IOM Approaches for Optimization of Biological Systems under Uncertainty

摘要：

This paper considers the optimization problem of biological systems represented by the S-system formalism under uncertainty. Two iterative IOM strategies, the standard iterative IOM method and modified iterative IOM approach are compared for a tryptophan biosynthesis process under experimental uncertainty of the kinetic orders in Ssystem. The modified iterative IOM approach is proven to be very attractive. Its ability to deal with measurement error is also shown.

关键词： optimization iterative IOM approach S-system biological systems

作者: Gongxian Xu

作者单位: Department of Mathematics Bohai University Jinzhou, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 3142-3146

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）