Nonlinear Goal Programming

Nonlinear Goal Programming is a mathematical optimization model that extends goal programming by incorporating nonlinear functions in either the objective criteria or constraints, distinguishing it from linear goal programming through its capacity to represent nonlinear trade-offs and relationships among decision variables.

64

Publications

3.3K

Citations

140

Authors

82

Institutions

Publications per year

2017–2026

3

Authors

140

  1. GH
    Gordon H. Dash

    University of Rhode Island, United States

    3 publications · 36 citations

    3

    h-index

  2. AR
    A. Ravindran

    University of Oklahoma, United States

    3 publications · 61 citations

    3

    h-index

  3. MG
    Mitsuo Gen

    Ashikaga University, Japan

    3 publications · 82 citations

    3

    h-index

  4. ER
    Edward R. Clayton

    Virginia Tech, United States

    2 publications · 109 citations

    2

    h-index

  5. HS
    Hussein Saber

    Abu Dhabi University, United Arab Emirates

    2 publications · 47 citations

    2

    h-index

1–5 of 140

Venues

  1. European Journal of Operational Research

    7 publications · 529 citations

    7

    h-index

  2. Engineering Optimization

    4 publications · 150 citations

    4

    h-index

  3. Computers & Operations Research

    4 publications · 214 citations

    4

    h-index

  4. Management Science

    4 publications · 154 citations

    4

    h-index

  5. Omega

    3 publications · 330 citations

    3

    h-index

1–5