Evolutionary Multi-agent Systems

Evolutionary Multi-Agent Systems is a computational framework within agent-based design that integrates evolutionary algorithms with multi-agent systems to enable the autonomous adaptation and co-evolution of agents' behaviors through selection, mutation, and recombination mechanisms over successive generations.

409

Publications

16.3K

Citations

959

Authors

447

Institutions

Publications per year

2017–2026

85

Variants

Emas

Authors

959

  1. AB
    Aleksander Byrski

    AGH University of Krakow, Poland

    10 publications · 266 citations

    10

    h-index

  2. RM
    Risto Miikkulainen

    The University of Texas at Austin, United States

    7 publications · 419 citations

    7

    h-index

  3. JL
    Jiming Liu

    Hong Kong Baptist University, Hong Kong SAR China

    6 publications · 396 citations

    6

    h-index

  4. RS
    Robert Schaefer

    National Institute of Standards and Technology, United States

    5 publications · 119 citations

    5

    h-index

  5. MK
    Marek Kisiel‐Dorohinicki

    AGH University of Krakow, Poland

    5 publications · 269 citations

    5

    h-index

1–5 of 959

Venues

  1. Soft Computing

    7 publications · 161 citations

    7

    h-index

  2. IEEE Transactions on Evolutionary Computation

    6 publications · 406 citations

    6

    h-index

  3. Expert Systems with Applications

    5 publications · 163 citations

    5

    h-index

  4. 5

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  5. arXiv (Cornell University)

    Repository · 4 publications · 109 citations

    4

    h-index

1–5