Large-scale Integer Programming

Large-Scale Integer Programming is an optimization methodology that belongs to the class of integer programming problems, distinguished by its focus on mathematical models involving a large number of integer variables and constraints, where the scale necessitates specialized algorithms and computational techniques to achieve tractable solutions.

162

Publications

13.3K

Citations

434

Authors

215

Institutions

Publications per year

2017–2026

31

Authors

434

  1. GL
    George L. Nemhauser

    Georgia Institute of Technology, United States

    6 publications · 2.9K citations

    6

    h-index

  2. FY
    Fengqi You

    Cornell University, United States

    4 publications · 235 citations

    4

    h-index

  3. EL
    Ellis L. Johnson

    Georgia Institute of Technology, United States

    4 publications · 3.4K citations

    4

    h-index

  4. JD
    Jacques Desrosiers

    HEC Montréal, Canada

    3 publications · 1.1K citations

    3

    h-index

  5. IE
    Ignacio E. Grossmann

    Carnegie Mellon University, United States

    3 publications · 323 citations

    3

    h-index

1–5 of 434

Venues

  1. Operations Research

    15 publications · 5.2K citations

    14

    h-index

  2. Management Science

    11 publications · 1.2K citations

    11

    h-index

  3. INFORMS Journal on Applied Analytics

    10 publications · 393 citations

    10

    h-index

  4. European Journal of Operational Research

    7 publications · 349 citations

    7

    h-index

  5. IEEE Transactions on Power Systems

    7 publications · 545 citations

    7

    h-index

1–5