Multi-objective Integer Programming

Multi-Objective Integer Programming is a mathematical optimization framework that belongs to the class of multi-objective programming problems, distinguished by the requirement that some or all decision variables must take integer values, and by the simultaneous optimization of two or more conflicting objective functions subject to constraints.

607

Publications

21.8K

Citations

1.7K

Authors

746

Institutions

Publications per year

2017–2026

326

Variants

Moip

Authors

1.7K

  1. MK
    Murat Köksalan

    Middle East Technical University, Türkiye

    8 publications · 284 citations

    8

    h-index

  2. RT
    Reza Tavakkoli‐Moghaddam

    University of Tehran, Iran

    8 publications · 189 citations

    8

    h-index

  3. GM
    George Mavrotas

    National Technical University of Athens, Greece

    7 publications · 606 citations

    7

    h-index

  4. BL
    Banu Lokman

    Middle East Technical University, Türkiye

    7 publications · 193 citations

    7

    h-index

  5. KG
    Kannan Govindan

    University of Southern Denmark, Denmark

    6 publications · 575 citations

    6

    h-index

1–5 of 1.7K

Venues

  1. European Journal of Operational Research

    39 publications · 1.9K citations

    24

    h-index

  2. International Journal of Production Research

    31 publications · 1.6K citations

    23

    h-index

  3. Sustainability

    21 publications · 481 citations

    15

    h-index

  4. Annals of Operations Research

    15 publications · 774 citations

    13

    h-index

  5. Journal of Cleaner Production

    12 publications · 678 citations

    12

    h-index

1–5