Robust Formulations

Robust Formulations is a class of optimization models in topology optimization that explicitly account for uncertainties in loading, geometry, or material properties by incorporating probabilistic, worst-case, or interval-based variations into the design formulation to ensure performance stability under perturbations.

442

Publications

30.1K

Citations

1K

Authors

471

Institutions

Publications per year

2017–2026

136

Authors

1K

  1. DB
    Dimitris Bertsimas

    Massachusetts Institute of Technology, United States

    7 publications · 744 citations

    7

    h-index

  2. OS
    Ole Sigmund

    Technical University of Denmark, Denmark

    7 publications · 2.4K citations

    7

    h-index

  3. XW
    Xiaojun Wang

    Beihang University, China

    6 publications · 206 citations

    6

    h-index

  4. ZL
    Zeshang Li

    Beihang University, China

    6 publications · 254 citations

    6

    h-index

  5. ZL
    Zukui Li

    University of Alberta, Canada

    6 publications · 557 citations

    6

    h-index

1–5 of 1K

Venues

  1. Structural and Multidisciplinary Optimization

    38 publications · 3.9K citations

    24

    h-index

  2. 22

    h-index

  3. 13

    h-index

  4. Mathematical Programming

    14 publications · 2.5K citations

    13

    h-index

  5. Journal of Optimization Theory and Applications

    15 publications · 479 citations

    13

    h-index

1–5