Geodesic
A concise overview of particle swarm optimization methods
Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 39 (2022) no. 2, pp. 150-174

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Particle Swarm Optimization (PSO) is a meta-heuristic method of global, inferred, proposed by Kennedy and Eberhart in 1995. It is currently one of the most commonly used search methods. This review provides a brief overview of PSO research in recent years – swarm and rate initialization methods in PSO, modifications, neighborhood topologies, hybridization, and an overview of various PSO applications.
Keywords: optimization, particle swarm optimization, meta-heuristic algorithm. 
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     author = {E. M. Kazakova},
     title = {A concise overview of particle swarm optimization methods},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
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     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2022_39_2_a10/}
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E. M. Kazakova. A concise overview of particle swarm optimization methods. Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 39 (2022) no. 2, pp. 150-174. http://geodesic.mathdoc.fr/item/VKAM_2022_39_2_a10/