Grey Wolf Optimizer

Grey Wolf Optimizer is a population-based metaheuristic algorithm inspired by the social hierarchy and hunting behavior of grey wolves, which iteratively optimizes candidate solutions through mathematical models of encircling prey, hunting, and attacking dynamics.

1.9K

Publications

108.9K

Citations

5.7K

Authors

1.7K

Institutions

Publications per year

2017–2026

1.8K

Variants

Gwo

Authors

5.7K

  1. SM
    Seyedali Mirjalili

    Torrens University Australia, Australia

    33 publications · 6.2K citations

    27

    h-index

  2. SK
    Salah Kamel

    Aswan University, Egypt

    20 publications · 707 citations

    17

    h-index

  3. MA
    Mohammed Azmi Al‐Betar

    Al-Balqa Applied University, Jordan

    15 publications · 972 citations

    15

    h-index

  4. HM
    Hany M. Hasanien

    Ain Shams University, Egypt

    15 publications · 1.2K citations

    14

    h-index

  5. RP
    Radu‐Emil Precup

    Polytechnic University of Timişoara, Romania

    13 publications · 1.2K citations

    13

    h-index

1–5 of 5.7K

Venues

  1. IEEE Access

    144 publications · 9.1K citations

    56

    h-index

  2. Applied Soft Computing

    59 publications · 6.3K citations

    42

    h-index

  3. Expert Systems with Applications

    32 publications · 6.4K citations

    31

    h-index

  4. Scientific Reports

    36 publications · 2K citations

    28

    h-index

  5. Energies

    51 publications · 2.1K citations

    26

    h-index

1–5