Multiobjective Diversity Preservation
Multiobjective Diversity Preservation is a computational optimization strategy that belongs to the class of multiobjective evolutionary algorithms, distinguished by its explicit incorporation of mechanisms to maintain population diversity across multiple conflicting objectives while converging toward the Pareto-optimal front.
21
Publications
1.1K
Citations
64
Authors
34
Institutions
Publications per year
2017–2026
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1–5 of 21
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Universidade Estadual de Campinas (UNICAMP), Brazil
1 publications · 17 citations
1
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1–5 of 64
34

Indian Statistical Institute
Kolkata, India
2 h-index
2 publications
84 citations
GS Caltex (South Korea)
Seoul, South Korea
2 h-index
2 publications
29 citations

Anhui University
Hefei, China
2 h-index
3 publications
440 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
146 citations

Laboratoire d'Informatique Fondamentale de Lille
Villeneuve-d'Ascq, France
2 h-index
4 publications
131 citations
Seoul National University
Seoul, South Korea
1 h-index
1 publications
16 citations
Syracuse University
Syracuse, United States
1 h-index
1 publications
21 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
1 publications
29 citations
1–8 of 34
1 publications · 17 citations
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1 publications · 59 citations
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1 publications · 129 citations
1
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1 publications · 23 citations
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CIM · 1 publications · 182 citations
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