Ensemble Surrogates

Ensemble Surrogates is a surrogate modeling approach that integrates multiple individual surrogate models into a unified predictive framework to improve accuracy, robustness, and generalization through the strategic combination of their outputs.

93

Publications

5.1K

Citations

305

Authors

127

Institutions

Publications per year

2017–2026

67

Authors

305

  1. XS
    Xueguan Song

    Dalian University of Technology, China

    6 publications · 187 citations

    8

    h-index

  2. YP
    Yong Pang

    Dalian University of Technology, China

    4 publications · 82 citations

    6

    h-index

  3. SZ
    Shuai Zhang

    Chinese Academy of Sciences, China

    3 publications · 49 citations

    5

    h-index

  4. WL
    Wenxi Lu

    Jilin University, China

    2 publications · 41 citations

    3

    h-index

  5. CA
    Carlos A. Coello Coello

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    3 publications · 135 citations

    3

    h-index

1–5 of 305

Venues

  1. Structural and Multidisciplinary Optimization

    11 publications · 768 citations

    11

    h-index

  2. Journal of Mechanical Design

    5 publications · 170 citations

    6

    h-index

  3. IEEE Transactions on Cybernetics

    3 publications · 419 citations

    3

    h-index

  4. Applied Soft Computing

    3 publications · 135 citations

    3

    h-index

  5. IEEE Transactions on Evolutionary Computation

    3 publications · 430 citations

    3

    h-index

1–5