Minimax Goal Programming

Minimax Goal Programming is a variant of goal programming that belongs to the class of optimization methods designed to minimize the maximum deviation from a set of predefined goals, distinguishing itself by focusing on the worst-case disparity across all objectives rather than aggregating deviations.

22

Publications

730

Citations

56

Authors

31

Institutions

Publications per year

2017–2026

4

Authors

56

  1. CR
    Carlos Romero

    Universidad Politécnica de Madrid, Spain

    3 publications · 234 citations

    3

    h-index

  2. AM
    Amir Masoud Rahmani

    Islamic Azad University, Science and Research Branch, Iran

    1 publications · 22 citations

    1

    h-index

  3. ZM
    Zakie Mamashli

    Mazandaran University of Science and Technology, Iran

    1 publications · 47 citations

    1

    h-index

  4. TB
    Toni Bakhtiar

    IPB University, Indonesia

    1 publications · 14 citations

    1

    h-index

  5. JJ
    James J. Buckley

    University of Alabama at Birmingham, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 56

Venues

  1. European Journal of Operational Research

    3 publications · 64 citations

    3

    h-index

  2. Computers & Industrial Engineering

    3 publications · 113 citations

    3

    h-index

  3. Journal of the Operational Research Society

    OR · 2 publications · 129 citations

    2

    h-index

  4. Financial Review

    FR · 1 publications · 14 citations

    1

    h-index

  5. Journal of Transport Geography

    1 publications · 84 citations

    1

    h-index

1–5