Multi-agent Co-evolutionary Optimization
Multi-Agent Co-Evolutionary Optimization is a computational optimization framework in which multiple distinct agent populations undergo simultaneous evolutionary adaptation, with each population's fitness evaluation inherently dependent on dynamic interactions with others, thereby enabling the emergent co-adaptation of interdependent strategies or solutions.
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2017–2026
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Solution concepts in coevolutionary algorithms
Jordan Pollack, Sevan G. Ficici · 2004 · 124 citations
Life Sciences, Evolutionary Biology, Artificial Intelligence +11
Anne Auger, Nikolaus Hansen · 2012 · 81 citations
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AGH University of Krakow
Krakow, Poland
3 h-index
5 publications
172 citations
Chalmers University of Technology
Gothenburg, Sweden
2 h-index
2 publications
26 citations

South China University of Technology
Guangzhou, China
2 h-index
5 publications
263 citations

University West
Trollhättan, Sweden
2 h-index
6 publications
78 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
7 publications
167 citations
Techno India University
Kolkata, India
1 h-index
1 publications
11 citations
Ōtani University
Kyoto, Japan
1 h-index
1 publications
10 citations
Shandong University
Jinan, China
1 h-index
1 publications
26 citations
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3 publications · 1.2K citations
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2 publications · 36 citations
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1 publications · 23 citations
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1 publications · 14 citations
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