Task Allocation Policies

Task Allocation Policy is a formal framework within Human-Swarm Interaction that specifies how tasks are dynamically assigned and distributed among individual agents in a swarm system based on defined rules, constraints, and optimization criteria.

58

Publications

2.2K

Citations

163

Authors

93

Institutions

Publications per year

2017–2026

24

Authors

163

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    3 publications · 237 citations

    3

    h-index

  2. HD
    Hongbin Dong

    Harbin Engineering University, China

    2 publications · 48 citations

    2

    h-index

  3. YW
    Yingjie Wang

    Yantai University, China

    2 publications · 48 citations

    2

    h-index

  4. EP
    Edison Pignaton de Freitas

    Universidade Federal do Rio Grande do Sul, Brazil

    2 publications · 206 citations

    2

    h-index

  5. TP
    Tingwei Pan

    Harbin Engineering University, China

    2 publications · 48 citations

    2

    h-index

1–5 of 163

Venues

  1. IEEE Internet of Things Journal

    3 publications · 249 citations

    3

    h-index

  2. Autonomous Agents and Multi-Agent Systems

    3 publications · 149 citations

    3

    h-index

  3. Swarm Intelligence

    3 publications · 53 citations

    3

    h-index

  4. Knowledge-Based Systems

    2 publications · 79 citations

    2

    h-index

  5. Frontiers in Human Neuroscience

    1 publications · 16 citations

    1

    h-index

1–5