Multiagent Fitness Evaluation

Multiagent Fitness Evaluation is a computational framework within fitness function design that assesses the performance of individual agents in a multiagent system by dynamically incorporating interdependencies and competitive or cooperative interactions among agents to determine their evolutionary or learning success.

13

Publications

342

Citations

33

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

33

  1. KT
    Kagan Tumer

    Ames Research Center, United States

    3 publications · 87 citations

    3

    h-index

  2. MC
    Mitchell Colby

    Oregon State University, United States

    2 publications · 37 citations

    2

    h-index

  3. MF
    Mohd Falfazli Mat Jusof

    Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia

    1 publications · 13 citations

    1

    h-index

  4. MA
    Minoru Asada

    The University of Osaka, Japan

    1 publications · 37 citations

    1

    h-index

  5. FA
    Francisco A. Rodrigues

    Universidade de São Paulo, Brazil

    1 publications · 16 citations

    1

    h-index

1–5 of 33

Venues

  1. Physical review. E

    PRE · 1 publications · 16 citations

    1

    h-index

  2. Repositório do ISCTE-IUL

    Repository · 1 publications · 14 citations

    1

    h-index

  3. Proceedings of the IEEE

    1 publications · 37 citations

    1

    h-index

  4. Evolutionary Computation

    1 publications · 66 citations

    1

    h-index

  5. IEEE Transactions on Evolutionary Computation

    1 publications · 86 citations

    1

    h-index

1–5