Collaborative Co-evolutionary Algorithms
Collaborative Co-Evolutionary Algorithms is a class of co-evolutionary optimization frameworks in which multiple interdependent populations evolve synergistically through coordinated fitness evaluation and information exchange to solve complex, decomposable problems.
65
Publications
4.7K
Citations
199
Authors
103
Institutions
Publications per year
2017–2026
36
Variants
Cooperative Co-evolutionary Algorithms
Parents
65
A Survey on Cooperative Co-Evolutionary Algorithms
Xiaoliang Ma, Xiaodong Li, Qingfu Zhang et al. · IEEE Transactions on Evolutionary Computation · 2018 · 325 citations · Full text
Natural Sciences, Computational Engineering, Coevolution +13
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103
RMIT University
Melbourne, Australia
9 h-index
19 publications
2.5K citations

Victoria University of Wellington
Wellington, New Zealand
5 h-index
11 publications
359 citations

University of Birmingham
Birmingham, United Kingdom
5 h-index
5 publications
1.7K citations
Tsinghua University
Beijing, China
4 h-index
8 publications
365 citations
Ontario Tech University
Oshawa, Canada
3 h-index
5 publications
138 citations
Civil Aviation University of China
Tianjin, China
3 h-index
9 publications
1.3K citations

Southern University of Science and Technology
Shenzhen, China
3 h-index
3 publications
488 citations

South China University of Technology
Guangzhou, China
3 h-index
5 publications
232 citations
1–8 of 103
7 publications · 1.5K citations
7
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4 publications · 115 citations
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4 publications · 572 citations
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4 publications · 78 citations
4
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3 publications · 89 citations
3
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1–5