| 查看: 572 | 回复: 3 | ||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | ||
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
2026年的国家社科基金项目通讯评审的新规则与新动向、新挑战
已经有10人回复
-
有多少人是今天查系统知道结果的？
已经有16人回复
-
我不理解！
已经有14人回复
-
国自然面上复盘~欢迎讨论
已经有4人回复
-
系统查不到
已经有10人回复
-
基金不中，共勉
已经有3人回复
-
怎么查啊
已经有5人回复
-
范进中举一文的中心思想
已经有10人回复
-
2026国自然函评费到账
已经有25人回复
-
2026年8月25日国自然放榜前突然收到列入评审专家邮件，有关系吗？
已经有28人回复
nandehutu9327
至尊木虫 (职业作家)
- 应助: 279 (大学生)
- 金币: 18985.7
- 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
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
|
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
