Multi-scale Optimization

Multi-Scale Optimization is a computational optimization framework that integrates decision variables, constraints, and objectives across multiple temporal, spatial, or organizational scales to simultaneously achieve system-wide coherence and local adaptability in complex engineering or scientific design processes.

221

Publications

10.9K

Citations

811

Authors

310

Institutions

Publications per year

2017–2026

138

Authors

811

  1. ZD
    Zunyi Duan

    Northwestern Polytechnical University, China

    6 publications · 200 citations

    6

    h-index

  2. JY
    Jun Yan

    Dalian University of Technology, China

    5 publications · 178 citations

    5

    h-index

  3. JL
    Jinhai Li

    Kunming University of Science and Technology, China

    4 publications · 191 citations

    4

    h-index

  4. ZY
    Zhe Yu

    Global Energy Interconnection Research Institute North America, United States

    3 publications · 268 citations

    3

    h-index

  5. MM
    Mary Murphy-Hoye

    Intel (United States), United States

    3 publications · 268 citations

    3

    h-index

1–5 of 811

Venues

  1. Structural and Multidisciplinary Optimization

    11 publications · 314 citations

    11

    h-index

  2. 8

    h-index

  3. Composite Structures

    7 publications · 359 citations

    7

    h-index

  4. Applied Energy

    8 publications · 384 citations

    7

    h-index

  5. IEEE Access

    6 publications · 316 citations

    6

    h-index

1–5