Adaptive Task Allocation

Adaptive Task Allocation is a dynamic task assignment framework that continuously modifies the distribution of tasks among agents or resources in response to changing environmental conditions, performance feedback, or system objectives in order to optimize overall efficiency, robustness, or adaptability.

180

Publications

8.2K

Citations

586

Authors

255

Institutions

Publications per year

2017–2026

75

Authors

586

  1. MS
    Mani Srivastava

    University of California, Los Angeles, United States

    4 publications · 448 citations

    4

    h-index

  2. CY
    Changchuan Yin

    Beijing University of Posts and Telecommunications, China

    3 publications · 145 citations

    3

    h-index

  3. RP
    Raja Parasuraman

    George Mason University, United States

    3 publications · 326 citations

    3

    h-index

  4. AL
    Ana L. C. Bazzan

    Universidade Federal do Rio Grande do Sul, Brazil

    3 publications · 204 citations

    3

    h-index

  5. MM
    Mustapha Mouloua

    University of Central Florida, United States

    3 publications · 326 citations

    3

    h-index

1–5 of 586

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 7 publications · 590 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 112 citations

    5

    h-index

  3. IEEE Internet of Things Journal

    6 publications · 408 citations

    5

    h-index

  4. IEEE Access

    4 publications · 106 citations

    4

    h-index

  5. Applied Sciences

    3 publications · 40 citations

    3

    h-index

1–5