Stochastic Constrained Optimization

Stochastic Constrained Optimization is a mathematical optimization framework that belongs to the class of constrained optimization problems, distinguished by the incorporation of random variables or stochastic processes in the objective function or constraints, thereby requiring solutions that account for uncertainty while satisfying feasibility conditions in expectation or with high probability.

187

Publications

8.8K

Citations

518

Authors

254

Institutions

Publications per year

2017–2026

76

Authors

518

  1. DW
    Di Wu

    Sun Yat-sen University, China

    6 publications · 437 citations

    6

    h-index

  2. JH
    Jian He

    Sun Yat-sen University, China

    5 publications · 378 citations

    5

    h-index

  3. BM
    Behnam Mohammadi‐Ivatloo

    University of Tabriz, Iran

    3 publications · 333 citations

    3

    h-index

  4. MV
    Mostafa Vahedipour‐Dahraie

    University of Birjand, Iran

    3 publications · 264 citations

    3

    h-index

  5. SK
    Seong‐Hee Kim

    Georgia Institute of Technology, United States

    3 publications · 45 citations

    3

    h-index

1–5 of 518

Venues

  1. IEEE Access

    7 publications · 110 citations

    7

    h-index

  2. IEEE Transactions on Automatic Control

    6 publications · 273 citations

    6

    h-index

  3. IEEE Transactions on Wireless Communications

    5 publications · 158 citations

    5

    h-index

  4. 4

    h-index

  5. IEEE Transactions on Sustainable Energy

    TSTE · 4 publications · 281 citations

    4

    h-index

1–5