Constrained Goal Programming

Constrained Goal Programming is a methodological framework within multi-objective optimization that distinguishes itself by incorporating rigid structural constraints alongside goal aspirations, thereby restricting the feasible solution space to satisfy predefined resource, technological, or systemic limitations while minimizing deviations from target goals.

42

Publications

2.7K

Citations

91

Authors

60

Institutions

Publications per year

2017–2026

8

Authors

91

  1. WW
    W. W. Cooper

    The University of Texas at Austin, United States

    4 publications · 1K citations

    4

    h-index

  2. AC
    A. Charnes

    The University of Texas at Austin, United States

    4 publications · 1K citations

    4

    h-index

  3. TS
    Toshiyuki Sueyoshi

    New Mexico Institute of Mining and Technology, United States

    3 publications · 274 citations

    3

    h-index

  4. RC
    Rafael Caballero

    Universidad de Málaga, Spain

    2 publications · 39 citations

    2

    h-index

  5. DL
    Davide La Torre

    University of Milan, Italy

    2 publications · 60 citations

    2

    h-index

1–5 of 91

Venues

  1. European Journal of Operational Research

    8 publications · 1.1K citations

    8

    h-index

  2. Computers & Operations Research

    3 publications · 105 citations

    3

    h-index

  3. Journal of the Operational Research Society

    OR · 3 publications · 118 citations

    3

    h-index

  4. Annals of Operations Research

    2 publications · 60 citations

    2

    h-index

  5. Computers & Industrial Engineering

    2 publications · 142 citations

    2

    h-index

1–5