Multiobjective Evolutionary Algorithms
Multiobjective Evolutionary Algorithms is a computational optimization methodology that extends evolutionary algorithms by simultaneously addressing multiple conflicting objectives through population-based search and Pareto optimality principles.
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2017–2026
1.9K
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Kalyanmoy Deb, Himanshu Jain · IEEE Transactions on Evolutionary Computation · 2013 · 6.8K citations
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Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
111 publications · 16.8K citations
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City University of Hong Kong
Hong Kong, Hong Kong
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210 publications
19.3K citations

Xidian University
Xi'an, China
52 h-index
421 publications
32K citations

Southern University of Science and Technology
Shenzhen, China
50 h-index
165 publications
15.5K citations

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
45 h-index
187 publications
23.3K citations

University of Surrey
Guildford, United Kingdom
44 h-index
90 publications
19.8K citations

University of Essex
Colchester, United Kingdom
41 h-index
95 publications
37.2K citations
Nanyang Technological University
Singapore, Singapore
40 h-index
118 publications
23.6K citations

Anhui University
Hefei, China
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192 publications
30.1K citations
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344 publications · 101.8K citations
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