Adaptive Swarm Behavior

Adaptive Swarm Behavior is a computational coordination strategy within bio-inspired swarm design that enables a population of decentralized, autonomous agents to dynamically modify their interaction rules and collective dynamics in response to environmental changes or task requirements through local sensing and self-organization.

136

Publications

6.4K

Citations

427

Authors

216

Institutions

Publications per year

2017–2026

46

Authors

427

  1. HC
    Huiling Chen

    Wenzhou University, China

    4 publications · 123 citations

    4

    h-index

  2. HC
    Hanning Chen

    Shenyang Institute of Automation, China

    3 publications · 191 citations

    3

    h-index

  3. TB
    Takaaki Baba

    Waseda University, Japan

    2 publications · 26 citations

    2

    h-index

  4. MA
    Mario Andrés Muñoz

    The University of Melbourne, Australia

    2 publications · 33 citations

    2

    h-index

  5. EB
    Eric Bonabeau

    Santa Fe Institute, United States

    2 publications · 150 citations

    2

    h-index

1–5 of 427

Venues

  1. Applied Soft Computing

    6 publications · 475 citations

    6

    h-index

  2. IEEE Access

    3 publications · 209 citations

    3

    h-index

  3. Information Sciences

    3 publications · 82 citations

    3

    h-index

  4. The International Journal of Robotics Research

    IJRR · 2 publications · 151 citations

    2

    h-index

  5. Swarm Intelligence

    2 publications · 155 citations

    2

    h-index

1–5