Local Optimization

Local Optimization is a nonlinear programming method that identifies an optimal solution within a neighboring region of the feasible space, distinguished from global optimization by its convergence to a local minimum or maximum rather than the overall best solution.

1.9K

Publications

125.8K

Citations

5K

Authors

1.5K

Institutions

Publications per year

2017–2026

528

Authors

5K

  1. YD
    Yaroslav D. Sergeyev

    University of Calabria, Italy

    10 publications · 698 citations

    10

    h-index

  2. AN
    Arnold Neumaier

    University of Vienna, Austria

    9 publications · 659 citations

    9

    h-index

  3. DS
    Dale Schuurmans

    University of Alberta, Canada

    7 publications · 500 citations

    7

    h-index

  4. CA
    Christodoulos A. Floudas

    Princeton University, United States

    7 publications · 470 citations

    7

    h-index

  5. RH
    Reiner Horst

    Universität Trier, Germany

    7 publications · 623 citations

    7

    h-index

1–5 of 5K

Venues

  1. SIAM Journal on Optimization

    33 publications · 7K citations

    26

    h-index

  2. Journal of Global Optimization

    53 publications · 3K citations

    25

    h-index

  3. Journal of Optimization Theory and Applications

    34 publications · 1.2K citations

    21

    h-index

  4. IEEE Access

    33 publications · 1.3K citations

    21

    h-index

  5. arXiv (Cornell University)

    Repository · 33 publications · 1.5K citations

    18

    h-index

1–5