Multi-scale Optimization
Multi-Scale Optimization is a computational optimization framework that integrates decision variables, constraints, and objectives across multiple temporal, spatial, or organizational scales to simultaneously achieve system-wide coherence and local adaptability in complex engineering or scientific design processes.
221
Publications
10.9K
Citations
811
Authors
310
Institutions
Publications per year
2017–2026
138
221
Mahdi Sharifzadeh, Majid Sadeqzadeh, Miao Guo et al. · Progress in Energy and Combustion Science · 2018 · 465 citations · Full text
New generation of multi-scale NWP system (GRAPES): general scientific design
Dehui Chen, Jishan Xue, Xuesheng Yang et al. · Science Bulletin · 2008 · 202 citations
1–5 of 221
811
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Global Energy Interconnection Research Institute North America, United States
3 publications · 268 citations
3
h-index
3
h-index
1–5 of 811
310
Dalian University of Technology
Dalian, China
10 h-index
32 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
29 publications
1.1K citations

Cornell University
Ithaca, United States
6 h-index
19 publications
1.1K citations
Shandong University
Jinan, China
5 h-index
10 publications
412 citations

Northwestern Polytechnical University
Xi'an, China
5 h-index
19 publications
1.5K citations

Imperial College London
London, United Kingdom
5 h-index
14 publications
3.5K citations
Tsinghua University
Beijing, China
4 h-index
13 publications
1.1K citations
Texas A&M University
College Station, United States
4 h-index
14 publications
752 citations
1–8 of 310
11 publications · 314 citations
11
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8 publications · 357 citations
8
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7 publications · 359 citations
7
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8 publications · 384 citations
7
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6 publications · 316 citations
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