Budget-constrained Optimization

Budget-Constrained Optimization is an optimization framework that restricts resource allocation decisions to feasible solutions within a predefined financial limit, distinguishing it from general optimization methods by explicitly prioritizing cost efficiency as a binding constraint.

169

Publications

8.1K

Citations

440

Authors

241

Institutions

Publications per year

2017–2026

66

Authors

440

  1. LH
    Loo Hay Lee

    National University of Singapore, Singapore

    6 publications · 276 citations

    6

    h-index

  2. CC
    Chun‐Hung Chen

    George Mason University, United States

    5 publications · 195 citations

    5

    h-index

  3. HK
    Haradhan Kumar Mohajan

    Premier University, Bangladesh

    4 publications · 78 citations

    4

    h-index

  4. YZ
    Yuhao Zhu

    University of Rochester, United States

    4 publications · 96 citations

    4

    h-index

  5. HX
    Hui Xiao

    Southwestern University of Finance and Economics, China

    3 publications · 157 citations

    3

    h-index

1–5 of 440

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 196 citations

    10

    h-index

  2. European Journal of Operational Research

    5 publications · 118 citations

    5

    h-index

  3. Automatica

    3 publications · 120 citations

    3

    h-index

  4. IEEE Transactions on Automatic Control

    3 publications · 169 citations

    3

    h-index

  5. Management Science

    3 publications · 326 citations

    3

    h-index

1–5