Geodesic
Application of particle swarm method in the optimization problems
News of the Kabardin-Balkar scientific center of RAS, no. 5 (2022), pp. 48-57

Voir la notice de l'article provenant de la source Math-Net.Ru

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, Particle Swarm Optimization.
Mots-clés : metaheuristic algorithm 
@article{IZKAB_2022_5_a4,
     author = {E. M. Kazakova},
     title = {Application of particle swarm method in the optimization problems},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {48--57},
     publisher = {mathdoc},
     number = {5},
     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2022_5_a4/}
}
TY  - JOUR
AU  - E. M. Kazakova
TI  - Application of particle swarm method in the optimization problems
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2022
SP  - 48
EP  - 57
IS  - 5
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2022_5_a4/
LA  - ru
ID  - IZKAB_2022_5_a4
ER  - 
%0 Journal Article
%A E. M. Kazakova
%T Application of particle swarm method in the optimization problems
%J News of the Kabardin-Balkar scientific center of RAS
%D 2022
%P 48-57
%N 5
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2022_5_a4/
%G ru
%F IZKAB_2022_5_a4
E. M. Kazakova. Application of particle swarm method in the optimization problems. News of the Kabardin-Balkar scientific center of RAS, no. 5 (2022), pp. 48-57. http://geodesic.mathdoc.fr/item/IZKAB_2022_5_a4/