Integer Programming For Allocation

Integer Programming for Allocation is an optimization modeling framework within operations research that formulates resource distribution problems as mathematical programs requiring decision variables to take integer values, thereby ensuring discrete feasibility in allocation decisions.

247

Publications

11K

Citations

610

Authors

308

Institutions

Publications per year

2017–2026

43

Authors

610

  1. MJ
    Marcos J. Rider

    Universidade Estadual de Campinas (UNICAMP), Brazil

    4 publications · 457 citations

    4

    h-index

  2. SM
    Syam Menon

    The University of Texas at Dallas, United States

    3 publications · 120 citations

    3

    h-index

  3. RA
    R. A. Startzman

    Mitchell Institute, United States

    3 publications · 62 citations

    3

    h-index

  4. JF
    John F. Franco

    Universidade Estadual Paulista (Unesp), Brazil

    3 publications · 364 citations

    3

    h-index

  5. MO
    Michael O. Ball

    University of Maryland, College Park, United States

    2 publications · 48 citations

    2

    h-index

1–5 of 610

Venues

  1. Management Science

    11 publications · 657 citations

    11

    h-index

  2. European Journal of Operational Research

    11 publications · 522 citations

    11

    h-index

  3. Operations Research

    11 publications · 549 citations

    10

    h-index

  4. Journal of the Operational Research Society

    OR · 11 publications · 1K citations

    10

    h-index

  5. International Journal of Production Research

    7 publications · 250 citations

    7

    h-index

1–5