Global Optimization

Global Optimization is an optimization problem-solving approach that seeks the absolute best solution across the entire feasible region, distinguishing itself from local optimization by guaranteeing optimality over all possible solutions rather than merely within a neighborhood of a point.

10.2K

Publications

741.2K

Citations

19.3K

Authors

3.8K

Institutions

Publications per year

2017–2026

3.6K

Authors

19.3K

  1. CA
    Christodoulos A. Floudas

    Princeton University, United States

    58 publications · 7.3K citations

    47

    h-index

  2. SM
    Seyedali Mirjalili

    Torrens University Australia, Australia

    42 publications · 12K citations

    34

    h-index

  3. LA
    Laith Abualigah

    Universiti Sains Malaysia, Malaysia

    47 publications · 3.2K citations

    31

    h-index

  4. YD
    Yaroslav D. Sergeyev

    University of Calabria, Italy

    37 publications · 2.1K citations

    30

    h-index

  5. PN
    Ponnuthurai Nagaratnam Suganthan

    Nanyang Technological University, Singapore

    33 publications · 17.2K citations

    27

    h-index

1–5 of 19.3K

Venues

  1. Applied Soft Computing

    221 publications · 16.5K citations

    72

    h-index

  2. Journal of Global Optimization

    281 publications · 17.3K citations

    67

    h-index

  3. Information Sciences

    157 publications · 24.7K citations

    66

    h-index

  4. SIAM Journal on Optimization

    163 publications · 24K citations

    65

    h-index

  5. Mathematical Programming

    138 publications · 25.8K citations

    64

    h-index

1–5