Ant Colony Optimization

Ant Colony Optimization is a metaheuristic optimization algorithm that belongs to the class of swarm intelligence methods and is distinguished by its emulation of the foraging behavior of ants through the probabilistic construction of solutions guided by pheromone trail deposition and reinforcement.

7.6K

Publications

438.4K

Citations

17.5K

Authors

3.6K

Institutions

Publications per year

2017–2026

3K

Variants

Aco

Authors

17.5K

  1. MD
    Marco Dorigo

    Université Libre de Bruxelles, Belgium

    47 publications · 33.8K citations

    39

    h-index

  2. JZ
    Jun Zhang

    Sun Yat-sen University, China

    49 publications · 4.7K citations

    31

    h-index

  3. TS
    Thomas Stützle

    Université Libre de Bruxelles, Belgium

    38 publications · 12.1K citations

    28

    h-index

  4. DK
    Derviş Karaboğa

    Erciyes University, Türkiye

    28 publications · 22.4K citations

    26

    h-index

  5. LM
    Luca Maria Gambardella

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    27 publications · 13.3K citations

    22

    h-index

1–5 of 17.5K

Venues

  1. Applied Soft Computing

    209 publications · 23.2K citations

    79

    h-index

  2. Expert Systems with Applications

    149 publications · 12.6K citations

    62

    h-index

  3. IEEE Access

    228 publications · 11.9K citations

    59

    h-index

  4. Information Sciences

    77 publications · 7.7K citations

    48

    h-index

  5. 36

    h-index

1–5