Startup Sequence Optimization

Startup Sequence Optimization is a methodological framework within the domain of startup procedures that systematically refines the temporal and resource allocation order of initialization tasks to minimize startup latency and maximize operational readiness under constrained environments.

13

Publications

294

Citations

49

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

49

  1. KL
    Kan-Lee Lieu

    Seattle University, United States

    1 publications · 33 citations

    1

    h-index

  2. KL
    Kuyen Li

    Lamar University, United States

    1 publications · 23 citations

    1

    h-index

  3. TC
    Tianxing Cai

    Lamar University, United States

    1 publications · 16 citations

    1

    h-index

  4. JR
    John R. Birge

    University of Chicago, United States

    1 publications · 11 citations

    1

    h-index

  5. AS
    Amarnath Singh

    1 publications · 23 citations

    1

    h-index

1–5 of 49

Venues

  1. Science Progress

    1 publications · 19 citations

    1

    h-index

  2. Bioprocess and Biosystems Engineering

    1 publications · 23 citations

    1

    h-index

  3. Computers & Chemical Engineering

    1 publications · 16 citations

    1

    h-index

  4. 1

    h-index

  5. International Journal of Hydrogen Energy

    1 publications · 23 citations

    1

    h-index

1–5