Decomposition Optimization

Decomposition Optimization is a methodological framework within functional decomposition that systematically enhances the efficiency and effectiveness of decomposing complex systems by optimizing the allocation, granularity, and interdependence of subfunctions.

95

Publications

3.9K

Citations

254

Authors

123

Institutions

Publications per year

2017–2026

31

Authors

254

  1. PD
    Pródromos Daoutidis

    University of Minnesota, United States

    1 publications · 29 citations

    3

    h-index

  2. MR
    Michael R. von Spakovsky

    Virginia Tech, United States

    2 publications · 53 citations

    2

    h-index

  3. NH
    Neville Hogan

    Massachusetts Institute of Technology, United States

    2 publications · 138 citations

    2

    h-index

  4. JT
    James T. Allison

    University of Illinois Urbana-Champaign, United States

    2 publications · 52 citations

    2

    h-index

  5. GS
    Gagandeep Singh

    ETH Zurich, Switzerland

    2 publications · 40 citations

    2

    h-index

1–5 of 254

Venues

  1. Computers & Chemical Engineering

    8 publications · 249 citations

    10

    h-index

  2. Computers & Operations Research

    3 publications · 83 citations

    3

    h-index

  3. Energy

    3 publications · 74 citations

    3

    h-index

  4. IEEE Transactions on Automatic Control

    2 publications · 43 citations

    2

    h-index

  5. 2

    h-index

1–5