Multi-scale Design Optimization
Multi-Scale Design Optimization is a computational framework within generative design optimization that integrates design decisions across multiple spatial or temporal scales, distinguishing itself by simultaneously optimizing system performance and material distribution at both global and local levels to achieve synergistic, scale-dependent objectives.
79
Publications
3.7K
Citations
296
Authors
125
Institutions
Publications per year
2017–2026
55
79
1–5 of 79
296
7
h-index
7
h-index
4
h-index
3
h-index
3
h-index
1–5 of 296
125
Dalian University of Technology
Dalian, China
10 h-index
32 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
18 publications
672 citations

Northwestern Polytechnical University
Xi'an, China
7 h-index
21 publications
1.6K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
14 publications
856 citations
Institut de Mécanique et d'Ingénierie de Bordeaux
Bordeaux, France
4 h-index
11 publications
350 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
4 h-index
13 publications
434 citations
Université de Bordeaux
Bordeaux, France
4 h-index
11 publications
350 citations
Arts et Métiers
Paris, France
4 h-index
12 publications
392 citations
1–8 of 125
9 publications · 306 citations
9
h-index
9 publications · 389 citations
9
h-index
4 publications · 178 citations
5
h-index
2 publications · 77 citations
3
h-index
2 publications · 282 citations
3
h-index
1–5