Multi-objective Quadratic Programming

Multi-Objective Quadratic Programming is a mathematical optimization framework that belongs to the class of multi-objective programming problems in which at least one objective function is quadratic, distinguished by its simultaneous minimization of multiple quadratic and/or linear objective functions subject to a set of linear or quadratic constraints.

44

Publications

2K

Citations

132

Authors

72

Institutions

Publications per year

2017–2026

19

Authors

132

  1. YY
    Yonghao Yue

    Columbia University, United States

    1 publications · 107 citations

    1

    h-index

  2. MH
    M.A.M. Hendrix

    Eindhoven University of Technology, Netherlands

    1 publications · 44 citations

    1

    h-index

  3. JL
    Jiang Liu

    Institute for Infocomm Research, Singapore

    1 publications · 18 citations

    1

    h-index

  4. SC
    Sungrae Cho

    Chung-Ang University, South Korea

    1 publications · 14 citations

    1

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  5. MD
    Marianna De Santis

    Sapienza University of Rome, Italy

    1 publications · 16 citations

    1

    h-index

1–5 of 132

Venues

  1. Computers & Operations Research

    3 publications · 132 citations

    3

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  2. IEEE Access

    2 publications · 32 citations

    2

    h-index

  3. International Journal of Production Research

    2 publications · 135 citations

    2

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  4. Medical Physics

    2 publications · 85 citations

    2

    h-index

  5. Physics in Medicine and Biology

    2 publications · 281 citations

    2

    h-index

1–5