Multiobjective Linear Programming

Multiobjective Linear Programming is a formal optimization framework within multiobjective optimization that consists of simultaneously optimizing multiple linear objective functions subject to a set of linear equality and inequality constraints, where the linearity of both objectives and constraints distinguishes it from more general multiobjective nonlinear programming formulations.

295

Publications

13.8K

Citations

536

Authors

337

Institutions

Publications per year

2017–2026

43

Variants

MolpMulti-objective Linear Programming

Authors

536

  1. MS
    Masatoshi Sakawa

    Hiroshima University, Japan

    16 publications · 621 citations

    13

    h-index

  2. PK
    Pekka Korhonen

    Aalto University, Finland

    9 publications · 504 citations

    9

    h-index

  3. KK
    Kosuke Kato

    Hiroshima University, Japan

    7 publications · 216 citations

    7

    h-index

  4. ME
    Matthias Ehrgott

    University of Auckland, New Zealand

    7 publications · 276 citations

    7

    h-index

  5. HY
    Hitoshi Yano

    Kagawa University, Japan

    6 publications · 411 citations

    6

    h-index

1–5 of 536

Venues

  1. European Journal of Operational Research

    34 publications · 1.2K citations

    22

    h-index

  2. Fuzzy Sets and Systems

    17 publications · 943 citations

    14

    h-index

  3. Journal of Optimization Theory and Applications

    10 publications · 461 citations

    10

    h-index

  4. Applied Mathematics and Computation

    8 publications · 315 citations

    8

    h-index

  5. Journal of Multi-Criteria Decision Analysis

    7 publications · 480 citations

    7

    h-index

1–5