Robust Simulation Optimization

Robust Simulation Optimization is a simulation optimization approach that belongs to the class of methods designed to identify solutions resilient to uncertainties and variability in input parameters, distinguished by its explicit incorporation of robustness criteria—such as worst-case performance or variance minimization—into the optimization process under stochastic simulation.

28

Publications

1.2K

Citations

85

Authors

41

Institutions

Publications per year

2017–2026

10

Authors

85

  1. JK
    J.P.C. Kleijnen

    Tilburg University, Netherlands

    4 publications · 134 citations

    4

    h-index

  2. MI
    Mohd Idris Shah Ismail

    Universiti Putra Malaysia, Malaysia

    2 publications · 79 citations

    2

    h-index

  3. EP
    Ek Peng Chew

    National University of Singapore, Singapore

    2 publications · 84 citations

    2

    h-index

  4. MK
    Mohd Khairol Anuar Mohd Ariffin

    Universiti Putra Malaysia, Malaysia

    2 publications · 79 citations

    2

    h-index

  5. MY
    Masakazu Yagi

    The University of Osaka, Japan

    2 publications · 77 citations

    2

    h-index

1–5 of 85

Venues

  1. The Angle Orthodontist

    2 publications · 77 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 25 citations

    2

    h-index

  3. Computers & Chemical Engineering

    1 publications · 46 citations

    1

    h-index

  4. Simulation Modelling Practice and Theory

    1 publications · 66 citations

    1

    h-index

  5. Engineering With Computers

    1 publications · 31 citations

    1

    h-index

1–5