Constrained Optimization

Constrained Optimization is a class of mathematical optimization problems in which an objective function is optimized with respect to decision variables that are required to satisfy a prescribed set of equality and/or inequality constraints.

17.9K

Publications

1.2M

Citations

24.2K

Authors

4.4K

Institutions

Publications per year

2017–2026

3.7K

Authors

24.2K

  1. BS
    Boris S. Mordukhovich

    Wayne State University, United States

    49 publications · 2.9K citations

    35

    h-index

  2. CK
    Christian Kanzow

    University of Würzburg, Germany

    44 publications · 2.8K citations

    32

    h-index

  3. PL
    Philippe L. Toint

    University of Namur, Belgium

    49 publications · 4.3K citations

    31

    h-index

  4. KD
    Kalyanmoy Deb

    Michigan State University, United States

    54 publications · 15.4K citations

    30

    h-index

  5. KL
    Kok Lay Teo

    Curtin University, Australia

    81 publications · 3.7K citations

    30

    h-index

1–5 of 24.2K

Venues

  1. Mathematical Programming

    621 publications · 56K citations

    120

    h-index

  2. SIAM Journal on Optimization

    677 publications · 65.5K citations

    111

    h-index

  3. IEEE Transactions on Signal Processing

    236 publications · 22.9K citations

    81

    h-index

  4. Journal of Optimization Theory and Applications

    688 publications · 32.1K citations

    79

    h-index

  5. European Journal of Operational Research

    390 publications · 25.5K citations

    78

    h-index

1–5