Probabilistic Design Optimization

Probabilistic Design Optimization is a design methodology that distinguishes itself from deterministic approaches by incorporating probabilistic models of uncertainty into the optimization process to ensure reliable performance under variable or stochastic conditions.

366

Publications

19K

Citations

811

Authors

335

Institutions

Publications per year

2017–2026

103

Variants

Reliability-based Design Optimization

Authors

811

  1. KK
    Kyung K. Choi

    University of Iowa, United States

    15 publications · 2.5K citations

    14

    h-index

  2. PY
    Panos Y. Papalambros

    University of Michigan, United States

    10 publications · 594 citations

    10

    h-index

  3. BD
    Byeng D. Youn

    Seoul National University, South Korea

    9 publications · 1.2K citations

    9

    h-index

  4. WC
    Wei Chen

    Northwestern University, United States

    9 publications · 768 citations

    9

    h-index

  5. XD
    Xiaoping Du

    Missouri University of Science and Technology, United States

    7 publications · 987 citations

    7

    h-index

1–5 of 811

Venues

  1. Structural and Multidisciplinary Optimization

    36 publications · 2.2K citations

    25

    h-index

  2. Journal of Mechanical Design

    24 publications · 3.4K citations

    19

    h-index

  3. 13

    h-index

  4. Structural Safety

    10 publications · 699 citations

    10

    h-index

  5. Reliability Engineering & System Safety

    10 publications · 821 citations

    10

    h-index

1–5