Finite-horizon Optimization

Finite-Horizon Optimization is a dynamic optimization problem in which the objective is to determine a sequence of decisions over a fixed and finite number of time periods to maximize or minimize a given performance criterion.

764

Publications

39.3K

Citations

1.6K

Authors

692

Institutions

Publications per year

2017–2026

195

Authors

1.6K

  1. RZ
    Rui Zhang

    National University of Singapore, Singapore

    11 publications · 2K citations

    11

    h-index

  2. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    10 publications · 647 citations

    10

    h-index

  3. RL
    Robert L. Smith

    University of Michigan, United States

    8 publications · 315 citations

    8

    h-index

  4. WZ
    Weihai Zhang

    Shandong University of Science and Technology, China

    6 publications · 183 citations

    6

    h-index

  5. DS
    David Simchi‐Levi

    Massachusetts Institute of Technology, United States

    6 publications · 773 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. Operations Research

    49 publications · 5.5K citations

    29

    h-index

  2. IEEE Transactions on Automatic Control

    42 publications · 2.9K citations

    25

    h-index

  3. Management Science

    35 publications · 3.9K citations

    23

    h-index

  4. International Journal of Production Research

    19 publications · 806 citations

    16

    h-index

  5. arXiv (Cornell University)

    Repository · 18 publications · 652 citations

    14

    h-index

1–5