Title :
Comparison of Iterative IOM Approaches for Optimization of Biological Systems under Uncertainty
Author_Institution :
Dept. of Math., Bohai Univ., Jinzhou, China
Abstract :
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 S-system. The modified iterative IOM approach is proven to be very attractive. Its ability to deal with measurement error is also shown.
Keywords :
biology; iterative methods; optimisation; S-system formalism; S-system kinetic order; indirect optimization method; iterative IOM strategy; tryptophan biosynthesis process; uncertain biological system optimization; Amino acids; Binary search trees; Biological system modeling; Biological systems; Constraint optimization; Iterative methods; Kinetic theory; Optimized production technology; Steady-state; Uncertainty; S-system; biological systems; iterative IOM approach; optimization;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.756
