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News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022 Issue 5, Pages 48–57 (Mi izkab503)

This article is cited in 5 papers

Information Technologies and Telecommunications

Application of particle swarm method in the optimization problems

E. M. Kazakova

Institute of Applied Mathematics and Automation – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 360000, Russia, Nalchik, 89 A Shortanov street

Abstract: Particle swarm optimization (PSO) is a heuristic global optimization method originally proposed by J. Kennedy and R.K. Eberhart in 1995. Today, PSO is one of the best known and widely used swarm intelligence algorithms due to its simplicity and ability to be used in a wide range of applications. This paper provides an overview of PSO applications in various fields: electrical engineering, automatic control systems, medicine, biology, chemistry, etc.

Keywords: optimization, metaheuristic algorithm, Particle Swarm Optimization.

UDC: 519.7

MSC: 68Т27

Received: 26.09.2022
Revised: 03.10.2022
Accepted: 10.10.2022

DOI: 10.35330/1991-6639-2022-5-109-48-57



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