Multiagent Evolutionary Computation

Multiagent Evolutionary Computation is a computational framework within evolutionary computation that integrates principles of multiagent systems to model evolutionary processes by enabling autonomous agents to represent, compete, and cooperatively evolve solutions in a shared environment.

268

Publications

17.8K

Citations

620

Authors

284

Institutions

Publications per year

2017–2026

46

Authors

620

  1. AB
    Aleksander Byrski

    AGH University of Krakow, Poland

    9 publications · 258 citations

    9

    h-index

  2. RS
    Robert Schaefer

    National Institute of Standards and Technology, United States

    6 publications · 134 citations

    6

    h-index

  3. SS
    Sandip Sen

    University of Tulsa, United States

    5 publications · 126 citations

    5

    h-index

  4. KT
    Kagan Tumer

    Oregon State University, United States

    4 publications · 74 citations

    4

    h-index

  5. LJ
    Licheng Jiao

    Xidian University, China

    4 publications · 545 citations

    4

    h-index

1–5 of 620

Venues

  1. IEEE Transactions on Evolutionary Computation

    8 publications · 8.6K citations

    8

    h-index

  2. Soft Computing

    5 publications · 101 citations

    5

    h-index

  3. 5

    h-index

  4. Expert Systems with Applications

    5 publications · 263 citations

    5

    h-index

  5. Adaptive Agents and Multi-Agents Systems

    Conference · 3 publications · 130 citations

    3

    h-index

1–5