Multi-objective Distributed Scheduling

Multi-Objective Distributed Scheduling is a scheduling framework that coordinates decision-making across decentralized agents or subsystems to simultaneously optimize multiple conflicting objectives while accounting for inter-agent constraints and asynchronous information exchange.

50

Publications

3.1K

Citations

177

Authors

82

Institutions

Publications per year

2017–2026

30

Authors

177

  1. LW
    Ling Wang

    Tsinghua University, China

    3 publications · 375 citations

    3

    h-index

  2. SL
    Shuhao Liu

    University of Toronto, Canada

    2 publications · 81 citations

    2

    h-index

  3. KD
    Kaveh Dehghanpour

    Iowa State University, United States

    2 publications · 190 citations

    2

    h-index

  4. BL
    Baochun Li

    University of Toronto, Canada

    2 publications · 81 citations

    2

    h-index

  5. WG
    Wenyin Gong

    China University of Geosciences, China

    2 publications · 128 citations

    2

    h-index

1–5 of 177

Venues

  1. Swarm and Evolutionary Computation

    5 publications · 497 citations

    5

    h-index

  2. Applied Energy

    3 publications · 259 citations

    3

    h-index

  3. Arabian Journal for Science and Engineering

    3 publications · 50 citations

    3

    h-index

  4. IEEE Transactions on Smart Grid

    3 publications · 262 citations

    3

    h-index

  5. Applied Soft Computing

    2 publications · 160 citations

    2

    h-index

1–5