Chance-constrained Scheduling

Chance-Constrained Scheduling is a stochastic scheduling framework that belongs to the class of probabilistic optimization models, distinguished by its incorporation of chance constraints to ensure that the probability of meeting specified performance requirements, such as task completion deadlines, exceeds a predefined threshold under uncertain processing times or environmental conditions.

191

Publications

9.5K

Citations

598

Authors

293

Institutions

Publications per year

2017–2026

107

Authors

598

  1. BM
    Behnam Mohammadi‐Ivatloo

    University of Tabriz, Iran

    6 publications · 519 citations

    6

    h-index

  2. MV
    Maria Vrakopoulou

    ETH Zurich, Switzerland

    5 publications · 494 citations

    5

    h-index

  3. AA
    Amjad Anvari‐Moghaddam

    Aalborg University, Denmark

    4 publications · 328 citations

    4

    h-index

  4. SN
    Sayyad Nojavan

    University of Tabriz, Iran

    3 publications · 178 citations

    3

    h-index

  5. YX
    Yinliang Xu

    Tsinghua–Berkeley Shenzhen Institute, China

    3 publications · 202 citations

    3

    h-index

1–5 of 598

Venues

  1. IEEE Transactions on Smart Grid

    10 publications · 691 citations

    10

    h-index

  2. IEEE Transactions on Power Systems

    10 publications · 1.3K citations

    10

    h-index

  3. Computers & Industrial Engineering

    9 publications · 267 citations

    9

    h-index

  4. 7

    h-index

  5. Applied Energy

    7 publications · 322 citations

    7

    h-index

1–5