Surrogate-based Reliability Optimization

Surrogate-Based Reliability Optimization is a reliability-based design methodology that employs computationally efficient surrogate models to approximate complex performance functions, thereby enabling the probabilistic assessment and optimization of system reliability with reduced numerical expense.

112

Publications

6.5K

Citations

266

Authors

127

Institutions

Publications per year

2017–2026

67

Authors

266

  1. CL
    Cheng Lu

    Fudan University, China

    4 publications · 231 citations

    5

    h-index

  2. CF
    Cheng‐Wei Fei

    Fudan University, China

    4 publications · 174 citations

    5

    h-index

  3. YN
    Yuji Nakagawa

    Kyoto University, Japan

    3 publications · 466 citations

    4

    h-index

  4. BK
    Behrooz Keshtegar

    Zabol University, Iran

    4 publications · 197 citations

    4

    h-index

  5. SM
    Sankaran Mahadevan

    Vanderbilt University, United States

    3 publications · 443 citations

    3

    h-index

1–5 of 266

Venues

  1. Structural and Multidisciplinary Optimization

    12 publications · 1.3K citations

    12

    h-index

  2. Reliability Engineering & System Safety

    8 publications · 599 citations

    8

    h-index

  3. IEEE Transactions on Reliability

    6 publications · 599 citations

    6

    h-index

  4. Journal of Mechanical Design

    5 publications · 794 citations

    5

    h-index

  5. Applied Mathematical Modelling

    4 publications · 316 citations

    4

    h-index

1–5