Pareto Robustness

Pareto Robustness is a decision-making criterion that identifies solutions remaining robust across all objectives in a multi-objective optimization problem when no alternative can improve one objective without degrading another under pervasive uncertainty.

8

Publications

831

Citations

18

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

18

  1. HK
    H.M. Khodr

    Polytechnic Institute of Porto, Portugal

    1 publications · 17 citations

    1

    h-index

  2. RW
    Rui Wang

    National University of Defense Technology, China

    1 publications · 285 citations

    1

    h-index

  3. MD
    Michael Dellnitz

    Paderborn University, Germany

    1 publications · 23 citations

    1

    h-index

  4. ZV
    Zita Vale

    Polytechnic Institute of Porto, Portugal

    1 publications · 17 citations

    1

    h-index

  5. ML
    Mian Li

    Shanghai Jiao Tong University, China

    1 publications · 37 citations

    1

    h-index

1–5 of 18

Venues

  1. European Journal of Operational Research

    1 publications · 67 citations

    1

    h-index

  2. Journal of the European Economic Association

    JEEA · 1 publications · 227 citations

    1

    h-index

  3. Journal of Mechanical Design

    1 publications · 37 citations

    1

    h-index

  4. IEEE Transactions on Evolutionary Computation

    1 publications · 285 citations

    1

    h-index

  5. International Journal of Computing Science and Mathematics

    IJCSM · 1 publications · 23 citations

    1

    h-index

1–5