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Bilevel optimization of mixed-integer nonlinear integrated planning and scheduling problems using the DOMINO framework.

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第一作者： Hasan,Nikkhah

第一单位： Department of Chemical & Biomolecular Engineering, University of Connecticut, Storrs, CT, 06260, USA.;Center for Clean Energy Engineering, University of Connecticut, Storrs, CT, 06269, USA.

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

作者单位： Department of Chemical & Biomolecular Engineering, University of Connecticut, Storrs, CT, 06260, USA.;Center for Clean Energy Engineering, University of Connecticut, Storrs, CT, 06269, 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 Data-driven optimization bilevel programming enterprise-wide optimization mixed-integer nonlinear programming production planning scheduling

DOI 10.1016/b978-0-443-28824-1.50319-7

PMID 39917164

发布时间 2025-02-10

基金项目

P42 ES027704/ES/NIEHS NIH HHS/United States

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ESCAPE. European Symposium on Computer Aided Process Engineering

2024年53卷

1909-1914页

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ESCAPE. European Symposium on Computer Aided Process Engineering

2024年53卷

1909-1914页

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Bilevel optimization of mixed-integer nonlinear integrated planning and scheduling problems using the DOMINO framework.

ESCAPE. European Symposium on Computer Aided Process Engineering

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ESCAPE. European Symposium on Computer Aided Process Engineering

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Bilevel optimization of mixed-integer nonlinear integrated planning and scheduling problems using the DOMINO framework.

ESCAPE. European Symposium on Computer Aided Process Engineering

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同项目论文

ESCAPE. European Symposium on Computer Aided Process Engineering

相关期刊

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