Stochastic Multi-objective Scheduling

Stochastic Multi-Objective Scheduling is a scheduling paradigm within multi-objective optimization that specifically addresses decision-making under uncertainty, where multiple conflicting objectives are optimized simultaneously and at least one scheduling parameter—such as processing times, arrivals, or resource availability—is modeled as a random variable.

142

Publications

7.7K

Citations

467

Authors

234

Institutions

Publications per year

2017–2026

93

Variants

Smos

Authors

467

  1. YF
    Yaping Fu

    Qingdao University, China

    7 publications · 601 citations

    7

    h-index

  2. PS
    Pierluigi Siano

    University of Salerno, Italy

    5 publications · 625 citations

    5

    h-index

  3. SJ
    Shahram Jadid

    Iran University of Science and Technology, Iran

    4 publications · 700 citations

    4

    h-index

  4. KG
    Kaizhou Gao

    Macau University of Science and Technology, Macao SAR China

    4 publications · 251 citations

    4

    h-index

  5. BM
    Behnam Mohammadi‐Ivatloo

    University of Tabriz, Iran

    3 publications · 181 citations

    3

    h-index

1–5 of 467

Venues

  1. Journal of Cleaner Production

    10 publications · 758 citations

    10

    h-index

  2. Applied Soft Computing

    8 publications · 332 citations

    8

    h-index

  3. 8

    h-index

  4. Electric Power Systems Research

    7 publications · 445 citations

    7

    h-index

  5. Computers & Industrial Engineering

    6 publications · 362 citations

    6

    h-index

1–5