Multi-objective Shape Optimization
Multi-Objective Shape Optimization is a computational framework within shape optimization that simultaneously addresses multiple, often conflicting, objective functions to determine Pareto-optimal shapes by balancing trade-offs among competing performance criteria.
207
Publications
9.2K
Citations
634
Authors
260
Institutions
Publications per year
2017–2026
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Nanjing University of Aeronautics and Astronautics
Nanjing, China
6 h-index
19 publications
748 citations

Hohai University
Nanjing, China
5 h-index
12 publications
688 citations

Harbin Institute of Technology
Harbin, China
5 h-index
14 publications
406 citations
Jilin University
Changchun, China
5 h-index
13 publications
667 citations
Anhui University of Technology
Ma'anshan City, China
5 h-index
8 publications
458 citations
University of Pavia
Pavia, Italy
5 h-index
9 publications
360 citations

Inha University
Incheon, South Korea
4 h-index
10 publications
297 citations
Duy Tan University
Da Nang, Vietnam
4 h-index
4 publications
217 citations
1–8 of 260
20 publications · 658 citations
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6 publications · 176 citations
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AST · 6 publications · 286 citations
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5 publications · 147 citations
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5 publications · 906 citations
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