Pareto Robust Optimization

Pareto Robust Optimization is a robust design optimization framework that identifies solutions on the Pareto frontier by simultaneously balancing multiple conflicting objectives under uncertainty, thereby differentiating itself from single-objective robust optimization approaches through its explicit treatment of trade-offs among performance criteria.

22

Publications

870

Citations

61

Authors

31

Institutions

Publications per year

2017–2026

7

Authors

61

  1. JP
    J.S. Petko

    Pennsylvania State University, United States

    2 publications · 73 citations

    2

    h-index

  2. DH
    Douglas H. Werner

    Pennsylvania State University, United States

    2 publications · 73 citations

    2

    h-index

  3. JH
    John H. Kalivas

    Idaho State University, United States

    1 publications · 10 citations

    1

    h-index

  4. CI
    Christos I. Papadopoulos

    National Technical University of Athens, Greece

    1 publications · 25 citations

    1

    h-index

  5. DD
    Dick den Hertog

    Tilburg University, Netherlands

    1 publications · 19 citations

    1

    h-index

1–5 of 61

Venues

  1. IEEE Transactions on Antennas and Propagation

    2 publications · 73 citations

    2

    h-index

  2. SIMULATION

    1 publications · 48 citations

    1

    h-index

  3. Decision Sciences

    1 publications · 97 citations

    1

    h-index

  4. Procedia Engineering

    1 publications · 11 citations

    1

    h-index

  5. IET Generation Transmission & Distribution

    1 publications · 21 citations

    1

    h-index

1–5