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
Parents
7.6K
Joaquín Derrac, Salvador García, Daniel Molina et al. · Swarm and Evolutionary Computation · 2011 · 5.4K citations
Marco Dorigo, Mauro Birattari, Thomas Stützle · IEEE Computational Intelligence Magazine · 2006 · 5.2K citations
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Dalle Molle Institute for Artificial Intelligence Research, Switzerland
27 publications · 13.3K citations
22
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3.6K
Université Libre de Bruxelles
Brussels, Belgium
44 h-index
130 publications
61.5K citations

South China University of Technology
Guangzhou, China
41 h-index
193 publications
14.7K citations

Sun Yat-sen University
Guangzhou, China
39 h-index
169 publications
11.4K citations
Erciyes University
Kayseri, Türkiye
38 h-index
93 publications
42.9K citations

Iran University of Science and Technology
Tehran, Iran
36 h-index
132 publications
9.2K citations

Chinese Academy of Sciences
Beijing, China
33 h-index
207 publications
10.8K citations

Huazhong University of Science and Technology
Wuhan, China
32 h-index
131 publications
7.4K citations
Wuhan University
Wuhan, China
30 h-index
108 publications
5.5K citations
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209 publications · 23.2K citations
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149 publications · 12.6K citations
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228 publications · 11.9K citations
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77 publications · 7.7K citations
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50 publications · 2.8K citations
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