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Steady-state Optimization of Biochemical Systems by Bi-level Programming

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nandehutu9327: 金币+10, ★★★★★最佳答案 2017-10-24 11:38:28
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Steady-state optimization of biochemical systems by bi-level programming


作者:Xu, GX (Xu, Gongxian)[ 1 ] ; Li, Y (Li, Yang)[ 1 ]




COMPUTERS & CHEMICAL ENGINEERING



卷: 106

页: 286-296

DOI: 10.1016/j.compchemeng.2017.06.019

出版年: NOV 2 2017

查看期刊影响





































摘要

A new method is proposed for the steady-state optimization of biochemical systems described by Generalized Mass Action (GMA) models. In this method, a bi-level programming with a two-layer nested structure is established. In this bi-level problem, the upper-level objective is to maximize a flux or a metabolite concentration, and the lower-level objective is to minimize the total sum of metabolite concentrations of biochemical systems. The biological significance of the presented bi-level programming problem is to maximize the production rate or concentration of the desired product under a minimal metabolic cost to the biochemical system. To efficiently solve the above NP-hard, non-convex and nonlinear bi-level programming problem, we reformulate it into a single-level optimization problem by using appropriate transformation strategies. The proposed framework is applied to four case studies and has shown the tractability and effectiveness of the method. A comparison of our proposed method and other methods is also given. (C) 2017 Elsevier Ltd. All rights reserved.


关键词

作者关键词:Optimization; Bi-level programming; Algorithm; Generalized mass action; Biochemical systems

KeyWords Plus:METABOLIC CONTROL-THEORY; POWER-LAW APPROXIMATION; SACCHAROMYCES-CEREVISIAE; FERMENTATION PATHWAY; BILEVEL OPTIMIZATION; GLOBAL OPTIMIZATION; MODEL; ALGORITHM; NETWORKS; MAXIMIZATION


作者信息

通讯作者地址: Xu, GX (通讯作者)



      

Bohai Univ, Dept Math, Jinzhou 121013, Peoples R China.



地址:



      

[ 1 ] Bohai Univ, Dept Math, Jinzhou 121013, Peoples R China



电子邮件地址:gxxu@bhu.edu.cn


基金资助致谢



基金资助机构

授权号



National Natural Science Foundation of China


11101051

11371071



Liaoning Provincial Natural Science Foundation of China


2015020038



Program for Liaoning Excellent Talents in University


LJQ2013115



Program for Liaoning Innovative Research Team in University


LT2014024

查看基金资助信息   




出版商

PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND


类别 / 分类

研究方向:Computer Science; Engineering

Web of Science 类别:Computer Science, Interdisciplinary Applications; Engineering, Chemical


文献信息

文献类型:Article

语种:English

入藏号: WOS:000412192800021

ISSN: 0098-1354

eISSN: 1873-4375


其他信息

IDS 号: FI7QR

Web of Science 核心合集中的 "引用的参考文献": 58

Web of Science 核心合集中的 "被引频次": 0
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