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nandehutu9327至尊木虫 (职业作家)
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[求助]
SCI论文是否已检索
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如题，多谢！ Xu Gongxian, Bi-objective Optimization of Biochemical Systems by Linear Programming, Applied Mathematics and Computation, 2012, 218(14): 7562-7572. |
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nandehutu9327
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3楼2012-03-23 11:03:56
2楼2012-03-23 11:01:52
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FN Thomson Reuters Web of Knowledge VR 1.0 PT J AU Xu, GX AF Xu, Gongxian TI Bi-objective optimization of biochemical systems by linear programming SO APPLIED MATHEMATICS AND COMPUTATION LA English DT Article DE Bi-objective optimization; Linear programming; S-system; Minimax problem; Biochemical systems ID METABOLIC REACTION NETWORKS; POWER-LAW APPROXIMATION; CITRIC-ACID PRODUCTION; SACCHAROMYCES-CEREVISIAE; FERMENTATION PATHWAY; GLOBAL OPTIMIZATION; ASPERGILLUS-NIGER; MODEL DEFINITION; DESIGN; MAXIMIZATION AB This paper proposes an iterative strategy to address the bi-objective optimization of biochemical systems. The biochemical system is firstly represented by the S-system formalism that steady-states can be explicitly represented as systems of linear algebraic equations. Then a minimax method is used iteratively to maximize the performance of a biochemical system while minimizing its cost. To illustrate the effectiveness of our theoretical results, the fermentation pathway in Saccharomyces cerevisiae is analyzed. Compared with existing optimization results in the literature, we also show that our results are better than existing ones with this illustrative biochemical system. (C) 2012 Elsevier Inc. All rights reserved. C1 Bohai Univ, Dept Math, Jinzhou 121000, Peoples R China. RP Xu, GX (reprint author), Bohai Univ, Dept Math, Jinzhou 121000, Peoples R China EM dutxugx@yahoo.com.cn FU National Natural Science Foundation of China[11101051, 61070242]; Liaoning Province Doctor Startup Fund of China[20101001]; Liaoning Provincial Natural Science Foundation of China[20102003] FX This work was supported by the National Natural Science Foundation of China (Nos. 11101051 and 61070242), Liaoning Province Doctor Startup Fund of China (No. 20101001) and Liaoning Provincial Natural Science Foundation of China (No. 20102003). NR 37 TC 0 Z9 0 PU ELSEVIER SCIENCE INC PI NEW YORK PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA SN 0096-3003 J9 APPL MATH COMPUT JI Appl. Math. Comput. PD MAR 15 PY 2012 VL 218 IS 14 BP 7562 EP 7572 DI 10.1016/j.amc.2012.01.023 PG 11 WC Mathematics, Applied SC Mathematics GA 899AJ UT WOS:000300783300021 ER -------------------------------------------------------------------------------- EF |
4楼2012-03-23 11:49:13
