Set-based Multiobjective Optimization
Set-Based Multiobjective Optimization is a multiobjective optimization paradigm that fundamentally employs sets as primitive solution structures, distinguishing itself by explicitly representing and evolving solution sets in the decision space to approximate Pareto-optimal fronts through set-based operators and convergence criteria.
89
Publications
5.6K
Citations
200
Authors
133
Institutions
Publications per year
2017–2026
16
89
1–5 of 89
200
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 323 citations
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3
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3
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3
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2
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1–5 of 200
133
University of Alabama
Tuscaloosa, United States
3 h-index
6 publications
130 citations
Centre Inria de l'Université de Lille
Villeneuve-d'Ascq, France
3 h-index
3 publications
323 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
3 publications
323 citations
Institute of Mathematics
Hanoi, Vietnam
3 h-index
3 publications
40 citations
University of Florida
Gainesville, United States
2 h-index
4 publications
750 citations

Chongqing University
Chongqing, China
2 h-index
3 publications
32 citations
Clemson University
Clemson, United States
2 h-index
3 publications
73 citations
ETH Zurich
Zurich, Switzerland
2 h-index
4 publications
588 citations
1–8 of 133
11 publications · 470 citations
10
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6 publications · 232 citations
6
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4 publications · 1.3K citations
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3 publications · 113 citations
3
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3 publications · 483 citations
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1–5