Multicriteria Linear Programming

Multicriteria Linear Programming is a mathematical optimization framework that extends linear programming by incorporating multiple, often conflicting, objective functions to be simultaneously optimized, thereby enabling decision-making under competing criteria within a constrained linear system.

352

Publications

28.3K

Citations

683

Authors

381

Institutions

Publications per year

2017–2026

31

Variants

Multi-criteria Linear ProgrammingMulti-objective Linear Programming

Authors

683

  1. SI
    Saul I. Gass

    University of Maryland, College Park, United States

    9 publications · 866 citations

    9

    h-index

  2. RD
    Robert Dorfman

    Northwestern University, United States

    7 publications · 2K citations

    7

    h-index

  3. YS
    Yong Shi

    Chinese Academy of Sciences, China

    6 publications · 258 citations

    6

    h-index

  4. RM
    Robert M. Solow

    Massachusetts Institute of Technology, United States

    5 publications · 883 citations

    5

    h-index

  5. WO
    Włodzimierz Ogryczak

    Warsaw University of Technology, Poland

    3 publications · 264 citations

    4

    h-index

1–5 of 683

Venues

  1. European Journal of Operational Research

    29 publications · 1.8K citations

    19

    h-index

  2. Journal of the Operational Research Society

    OR · 21 publications · 2.1K citations

    17

    h-index

  3. Journal of Optimization Theory and Applications

    13 publications · 682 citations

    13

    h-index

  4. Mathematical Programming

    11 publications · 1.8K citations

    10

    h-index

  5. Fuzzy Sets and Systems

    8 publications · 451 citations

    8

    h-index

1–5