Stochastic Multi-criteria Optimization

Stochastic Multi-Criteria Optimization is a decision-making framework that belongs to the class of multi-criteria optimization methods, distinguished by its explicit incorporation of uncertainty in the criteria outcomes through probabilistic or stochastic modeling to identify solutions robust to random variations in the input parameters.

83

Publications

3.3K

Citations

275

Authors

168

Institutions

Publications per year

2017–2026

34

Authors

275

  1. YS
    Yimeng Sun

    Hohai University, China

    3 publications · 99 citations

    3

    h-index

  2. JC
    Juan Chen

    Hohai University, China

    3 publications · 99 citations

    3

    h-index

  3. RL
    Risto Lahdelma

    Aalto University, Finland

    3 publications · 287 citations

    3

    h-index

  4. FZ
    Feilin Zhu

    Hohai University, China

    3 publications · 99 citations

    3

    h-index

  5. JB
    Juergen Branke

    University of Warwick, United Kingdom

    2 publications · 23 citations

    2

    h-index

1–5 of 275

Venues

  1. Expert Systems with Applications

    4 publications · 297 citations

    4

    h-index

  2. Mathematical Problems in Engineering

    MPE · 3 publications · 148 citations

    3

    h-index

  3. European Journal of Operational Research

    3 publications · 228 citations

    3

    h-index

  4. Computers & Chemical Engineering

    3 publications · 79 citations

    3

    h-index

  5. Journal of Hydrology

    3 publications · 115 citations

    3

    h-index

1–5