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This article is cited in 2 scientific papers (total in 2 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.
Received: 26.09.2022 Revised: 03.10.2022 Accepted: 10.10.2022
Citation:
E. M. Kazakova, “Application of particle swarm method in the optimization problems”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 5, 48–57
Linking options:
https://www.mathnet.ru/eng/izkab503 https://www.mathnet.ru/eng/izkab/y2022/i5/p48
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Abstract page: | 76 | Full-text PDF : | 120 | References: | 18 |
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