Region-based Multiobjective Optimization
Region-Based Multiobjective Optimization is a specialized approach within continuous multi-criteria optimization that partitions the solution space into distinct regions to systematically identify and approximate Pareto-optimal solutions according to region-specific criteria or trade-offs.
78
Publications
4.7K
Citations
237
Authors
107
Institutions
Publications per year
2017–2026
35
78
PESA-II: region-based selection in evolutionary multiobjective optimization
David Corne, Nick R. Jerram, Joshua Knowles et al. · 2001 · 962 citations
Natural Sciences, Decision Sciences, Design Optimization +13
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107
Leiden University
Leiden, The Netherlands
4 h-index
13 publications
303 citations

University of Surrey
Guildford, United Kingdom
4 h-index
7 publications
257 citations
RMIT University
Melbourne, Australia
3 h-index
7 publications
505 citations
Tsinghua University
Beijing, China
3 h-index
14 publications
1K citations

National University of Defense Technology
Changsha, China
3 h-index
9 publications
410 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
3 publications
224 citations
Wuhan University
Wuhan, China
3 h-index
9 publications
366 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
8 publications
380 citations
1–8 of 107
9 publications · 1.1K citations
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4 publications · 206 citations
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3 publications · 53 citations
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2 publications · 34 citations
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2 publications · 60 citations
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