Decomposition Heuristics

Decomposition Heuristics is a systematic method within functional decomposition that employs practical guidelines and rules of thumb to guide the breakdown of complex systems or functions into smaller, more manageable, and cohesive sub-functions based on domain-specific criteria and optimality conditions.

65

Publications

2.8K

Citations

144

Authors

102

Institutions

Publications per year

2017–2026

6

Authors

144

  1. CB
    Christina Bloebaum

    University at Buffalo, State University of New York, United States

    4 publications · 125 citations

    4

    h-index

  2. RD
    Rolf Drechsler

    University of Bremen, Germany

    4 publications · 55 citations

    4

    h-index

  3. CD
    Carmel Domshlak

    Technion – Israel Institute of Technology, Israel

    3 publications · 101 citations

    3

    h-index

  4. TS
    Tsutomu Sasao

    Kyushu Institute of Technology, Japan

    3 publications · 53 citations

    3

    h-index

  5. MK
    Michael Katz

    Technion – Israel Institute of Technology, Israel

    3 publications · 101 citations

    3

    h-index

1–5 of 144

Venues

  1. IIE Transactions

    2 publications · 68 citations

    2

    h-index

  2. Operations Research

    2 publications · 54 citations

    2

    h-index

  3. 1

    h-index

  4. Operational Research

    1 publications · 33 citations

    1

    h-index

  5. Journal of High Energy Physics

    JHEP · 1 publications · 21 citations

    1

    h-index

1–5