| 查看: 452 | 回复: 3 | ||
nandehutu9327至尊木虫 (职业作家)
|
[求助]
求帮助查询论文是否已被SCI和EI收录，谢谢！ 已有1人参与
|
|
求帮助查询论文是否已被SCI和EI收录，谢谢！ Steady-state Optimization of Biochemical Systems by Bi-level Programming |
回复此楼» 猜你喜欢
遇见不省心的家人很难过
已经有13人回复
-
博士延得我，科研能力直往上蹿
已经有4人回复
-
退学或坚持读
已经有24人回复
-
免疫学博士有名额，速联系
已经有14人回复
-
面上基金申报没有其他的参与者成吗
已经有4人回复
-
多组分精馏求助
已经有6人回复
sesame_oil
荣誉版主 (文坛精英)
- SEPI: 1
- 应助: 4518 (副教授)
- 贵宾: 2.947
- 金币: 35328.4
- 散金: 385
- 红花: 188
- 沙发: 2
- 帖子: 18585
- 在线: 536.5小时
- 虫号: 1188734
- 注册: 2011-01-12
- 专业: 计算机应用技术
- 管辖: 论文投稿
2楼2017-07-30 21:58:31
nandehutu9327
至尊木虫 (职业作家)
- 应助: 279 (大学生)
- 金币: 18177.2
- 散金: 780
- 红花: 5
- 沙发: 2
- 帖子: 4561
- 在线: 591.1小时
- 虫号: 784367
- 注册: 2009-06-01
- 性别: GG
- 专业: 控制理论与方法
3楼2017-07-30 22:00:20
|
Accession number: 20172603848930 Authors: Xu, Gongxian 1 ; Li, Yang 1 Author affiliation : 1 Department of Mathematics, Bohai University, Jinzhou; 121013, China Corresponding author: Xu, Gongxian (gxxu@bhu.edu.cn) Source title: Computers and Chemical Engineering Abbreviated source title: Comput. Chem. Eng. Volume: 106 Issue date: 2017 Publication Year: 2017 Pages: 286-296 Language: English ISSN: 00981354 CODEN: CCENDW Document type: Journal article (JA) Publisher: Elsevier Ltd Abstract: 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. © 2017 Elsevier Ltd Number of references: 59 Main heading: Optimization Controlled terms: Algorithms - Biochemistry - Mathematical transformations - Metabolites Uncontrolled terms: Bi-level problems - Bi-level programming - Biochemical systems - Biological significance - Generalized mass - Metabolite concentrations - Optimization problems - Steady-state optimization Classification code: 801.2Biochemistry - 921.3Mathematical Transformations - 921.5Optimization Techniques DOI: 10.1016/j.compchemeng.2017.06.019 Funding Details: Number; Acronym; Sponsor: 11101051; NSFC; National Natural Science Foundation of China Number; Acronym; Sponsor: 11371071; NSFC; National Natural Science Foundation of China Number; Sponsor: 2015020038; Natural Science Foundation of Liaoning Province Database: Compendex Compilation and indexing terms, © 2017 Elsevier Inc. |
4楼2017-08-16 11:22:50