DocumentCode :
2345753
Title :
An Iterative Strategy for Bi-objective Optimization of Metabolic Pathways
Author :
Xu, Gongxian
Author_Institution :
Dept. of Math., Bohai Univ., Jinzhou, China
fYear :
2011
fDate :
15-19 April 2011
Firstpage :
587
Lastpage :
588
Abstract :
This paper proposes an iterative strategy to address the bi-objective optimization of metabolic pathways. The metabolic system is firstly represented by the S-system formalism. Then a weighted-sum method is used iteratively to maximize the performance of a metabolic pathway while minimizing its cost. The presented iterative strategy is applied to the fermentation pathway in Saccharomyces cerevisiae and shown to the effectiveness of the approach.
Keywords :
cost reduction; fermentation; iterative methods; microorganisms; optimisation; S-system formalism; Saccharomyces cerevisiae; biobjective optimization; cost minimisation; fermentation pathway; iterative strategy; metabolic pathways; metabolic system; weighted-sum method; Ethanol; Iterative methods; Kinetic theory; Optimization; Production; Steady-state; Vectors; bi-objective optimization; metabolic pathways; weighted-sum method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
Type :
conf
DOI :
10.1109/CSO.2011.83
Filename :
5957731
Link To Document :
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