Multiobjective Integer Programming

Multiobjective Integer Programming is a mathematical optimization framework that belongs to the class of multiobjective programming problems, distinguished by the requirement that decision variables must take integer values and that multiple conflicting objective functions are simultaneously optimized.

191

Publications

9.6K

Citations

454

Authors

244

Institutions

Publications per year

2017–2026

67

Variants

Multi-objective Integer Programming

Authors

454

  1. MK
    Murat Köksalan

    Middle East Technical University, Türkiye

    8 publications · 284 citations

    8

    h-index

  2. BL
    Banu Lokman

    Middle East Technical University, Türkiye

    7 publications · 193 citations

    7

    h-index

  3. MJ
    Maria João Alves

    Institute for Systems Engineering and Computers, Portugal

    5 publications · 145 citations

    5

    h-index

  4. NC
    Ni‐Bin Chang

    University of Central Florida, United States

    4 publications · 400 citations

    4

    h-index

  5. PK
    Pekka Korhonen

    Aalto University, Finland

    3 publications · 66 citations

    3

    h-index

1–5 of 454

Venues

  1. European Journal of Operational Research

    19 publications · 939 citations

    16

    h-index

  2. 5

    h-index

  3. Industrial & Engineering Chemistry Research

    5 publications · 463 citations

    5

    h-index

  4. 4

    h-index

  5. Management Science

    4 publications · 364 citations

    4

    h-index

1–5