Co-evolutionary Genetic Algorithms
Co-Evolutionary Genetic Algorithms is a computational optimization paradigm within evolutionary algorithms that simultaneously evolves multiple populations of candidate solutions, where the fitness evaluation of individuals in one population depends on their interaction with individuals from other populations, thereby enabling bidirectional adaptation and joint improvement across interdependent subproblems.
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3.4K
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Institutions
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2017–2026
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Co-evolutionary GasCoevolutionary GasCoevolutionary Genetic Algorithms
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Laboratório Nacional de Computação Científica, Brazil
2 publications · 91 citations
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UNSW Sydney
Sydney, Australia
4 h-index
8 publications
211 citations
Amirkabir University of Technology
Tehran, Iran
3 h-index
5 publications
132 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
7 publications
171 citations

Chongqing University
Chongqing, China
2 h-index
6 publications
92 citations
Ontario Tech University
Oshawa, Canada
2 h-index
3 publications
86 citations

Hefei Institutes of Physical Science
Hefei, China
2 h-index
2 publications
51 citations

Beihang University
Beijing, China
2 h-index
4 publications
66 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
5 publications
148 citations
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6 publications · 371 citations
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4 publications · 267 citations
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4 publications · 78 citations
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