Cuckoo Search

Cuckoo Search is a metaheuristic optimization algorithm that belongs to the class of nature-inspired stochastic search methods, distinguished by its use of Lévy flight-based search patterns and brood parasitism behavior of cuckoo birds to guide the exploration and exploitation of optimal solutions in complex search spaces.

1.9K

Publications

92.2K

Citations

4.6K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.3K

Authors

4.6K

  1. XY
    Xin‐She Yang

    Middlesex University, United Kingdom

    23 publications · 13.7K citations

    18

    h-index

  2. TT
    Thang Trung Nguyen

    Ton Duc Thang University, Vietnam

    28 publications · 996 citations

    16

    h-index

  3. GW
    Gai‐Ge Wang

    Ocean University of China, China

    14 publications · 1.3K citations

    14

    h-index

  4. DN
    Dieu Ngoc Vo

    Ho Chi Minh City University of Technology, Vietnam

    20 publications · 972 citations

    14

    h-index

  5. SD
    Suash Deb

    University of Macau, Macao SAR China

    11 publications · 10.4K citations

    11

    h-index

1–5 of 4.6K

Venues

  1. Applied Soft Computing

    43 publications · 3.4K citations

    34

    h-index

  2. IEEE Access

    55 publications · 2.2K citations

    31

    h-index

  3. Energies

    28 publications · 1.5K citations

    21

    h-index

  4. Expert Systems with Applications

    22 publications · 2K citations

    20

    h-index

  5. Neural Computing and Applications

    25 publications · 3.1K citations

    19

    h-index

1–5