Co-Evolutionary Multiobjective Optimization is a computational optimization framework that integrates principles of co-evolution—wherein multiple populations evolve interdependently—to simultaneously address multiple conflicting objectives by progressively refining solutions through competitive and collaborative dynamics among subpopulations.
74
Publications
4.9K
Citations
263
Authors
119
Institutions
Publications per year
2017–2026
44
Variants
Coevolutionary Multiobjective Optimization
Parents
Publications
74
1–5 of 74
Authors
263
- RW
4
h-index
- JZ
3
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- BX
3
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- LW
3
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- SY
3
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1–5 of 263
Institutions
119
China University of Geosciences
Wuhan, China
6 h-index
20 publications
811 citations
Anhui University
Hefei, China
6 h-index
19 publications
496 citations
National University of Defense Technology
Changsha, China
5 h-index
9 publications
298 citations
China University of Mining and Technology
Xuzhou, China
3 h-index
11 publications
1.2K citations
South China University of Technology
Guangzhou, China
3 h-index
10 publications
1.8K citations
Tsinghua University
Beijing, China
3 h-index
3 publications
296 citations
Xidian University
Xi'an, China
3 h-index
4 publications
437 citations
Huazhong University of Science and Technology
Wuhan, China
3 h-index
10 publications
535 citations
1–8 of 119
Venues
- IEEE Transactions on Evolutionary Computation
7 publications · 927 citations
7
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- Applied Soft Computing
8 publications · 304 citations
7
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- Information Sciences
7 publications · 290 citations
6
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- IEEE Access
2 publications · 48 citations
2
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- International Journal of Bio-Inspired Computation
2 publications · 31 citations
2
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1–5