首页> Digital Chemical Engineering> Bi-level Data-driven Enterprise-wide Optimization with Mixed-integer Nonlinear Scheduling Problems.

Bi-level Data-driven Enterprise-wide Optimization with Mixed-integer Nonlinear Scheduling Problems.

导出 LinkOut

翻译打印收藏纠错

第一作者： Hasan,Nikkhah

第一单位： Department of Chemical & Biomolecular Engineering, University of Connecticut, Storrs, 06269, CT,USA.;Center for Clean Energy Engineering, University of Connecticut, Storrs, 06269 CT, USA.

作者： Hasan,Nikkhah ^[1] ; Zahir,Aghayev ^[1] ; Amir,Shahbazi ^[1] ; Vassilis M,Charitopoulos ^[2] ; Styliani,Avraamidou ^[3] ; Burcu,Beykal ^[1]

作者单位： Department of Chemical & Biomolecular Engineering, University of Connecticut, Storrs, 06269, CT,USA.;Center for Clean Energy Engineering, University of Connecticut, Storrs, 06269 CT, USA. ^[1] Department of Chemical Engineering, Sargent Centre for Process Systems Engineering, University College London, Torrington Place, London WC1E 7JE, UK. ^[2] Department of Chemical & Biological Engineering, University of Wisconsin-Madison, Madison WI, 53706, USA. ^[3]

关键词 Bi-level programming Data-driven optimization Integrated planning and scheduling Mixed-integer nonlinear programming

DOI 10.1016/j.dche.2025.100218

PMID 40248766

发布时间 2025-04-20

基金项目

P42 ES027704/ES/NIEHS NIH HHS/United States

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Digital Chemical Engineering

2025年14卷

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

Digital Chemical Engineering

2025年14卷

检索历史清除

Bi-level Data-driven Enterprise-wide Optimization with Mixed-integer Nonlinear Scheduling Problems.

Digital Chemical Engineering

相似文献

同项目论文

Digital Chemical Engineering

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Bi-level Data-driven Enterprise-wide Optimization with Mixed-integer Nonlinear Scheduling Problems.

Digital Chemical Engineering

相似文献

同项目论文

Digital Chemical Engineering

相关期刊

检索历史清除