Adaptive Swarm Control

Adaptive Swarm Control is a dynamic coordination framework that enables a swarm system to autonomously modify its behavioral rules and interaction protocols in response to environmental changes or system perturbations, thereby maintaining collective performance and stability.

107

Publications

6K

Citations

325

Authors

168

Institutions

Publications per year

2017–2026

55

Authors

325

  1. MS
    Malek Sarhani

    Mohammed V University, Morocco

    3 publications · 46 citations

    3

    h-index

  2. OA
    Oussama Aoun

    Mohammed V University, Morocco

    3 publications · 46 citations

    3

    h-index

  3. XD
    Xiwang Dong

    Beihang University, China

    2 publications · 123 citations

    2

    h-index

  4. YC
    Yang Chen

    Southwestern University of Finance and Economics, China

    2 publications · 39 citations

    2

    h-index

  5. HI
    Hiroshi Ishiguro

    The University of Osaka, Japan

    2 publications · 127 citations

    2

    h-index

1–5 of 325

Venues

  1. Swarm and Evolutionary Computation

    4 publications · 683 citations

    4

    h-index

  2. International Journal of Metaheuristics

    IJMHeur · 2 publications · 24 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 213 citations

    2

    h-index

  4. IFAC-PapersOnLine

    2 publications · 44 citations

    2

    h-index

  5. Neurocomputing

    2 publications · 70 citations

    2

    h-index

1–5