Bilevel Network Optimization
Bilevel Network Optimization is a mathematical optimization framework in which network design or operation decisions are modeled as a two-level hierarchical problem, wherein the upper level (leader) optimizes its objective subject to the lower level (follower) solving an associated network optimization problem, typically reflecting strategic interaction or sequential decision-making in networked systems.
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Publications
10.4K
Citations
506
Authors
254
Institutions
Publications per year
2017–2026
100
Parents
174
Jinyuan Liu, Xin Fan, Zhanbo Huang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 969 citations
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Université de Montréal
Montreal, Canada
6 h-index
7 publications
2.2K citations

Universidade do Porto
Porto, Portugal
5 h-index
11 publications
604 citations
Beijing Jiaotong University
Beijing, China
5 h-index
8 publications
629 citations

Harbin Institute of Technology
Harbin, China
5 h-index
9 publications
225 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
18 publications
722 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
3 publications
68 citations
Peng Cheng Laboratory
Shenzhen, China
4 h-index
3 publications
1.1K citations
Aalto University
Espoo, Finland
4 h-index
8 publications
204 citations
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TRR · 17 publications · 696 citations
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5 publications · 242 citations
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4 publications · 248 citations
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Conference · 5 publications · 330 citations
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MPE · 4 publications · 87 citations
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