An Overview of Variants and Advancements of PSO Algorithm

Particle swarm optimization (PSO) is one of the most famous swarm-based optimization techniques inspired by nature. Due to its properties of flexibility and easy implementation, there is an enormous increase in the popularity of this nature-inspired technique. Particle swarm optimization (PSO) has g...

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Vydáno v:Applied sciences Ročník 12; číslo 17; s. 8392
Hlavní autoři: Jain, Meetu, Saihjpal, Vibha, Singh, Narinder, Singh, Satya Bir
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.09.2022
Témata:
advances in particle swarm optimization
Chemistry
Exploitation
Genetic algorithms
hybridization of particle swarm optimization
Optimization techniques
parameter tuning
particle swarm optimization (PSO)
Physics
Population
Success
Values
variants of particle swarm optimization
Velocity
ISSN:2076-3417, 2076-3417
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Shrnutí:Particle swarm optimization (PSO) is one of the most famous swarm-based optimization techniques inspired by nature. Due to its properties of flexibility and easy implementation, there is an enormous increase in the popularity of this nature-inspired technique. Particle swarm optimization (PSO) has gained prompt attention from every field of researchers. Since its origin in 1995 till now, researchers have improved the original Particle swarm optimization (PSO) in varying ways. They have derived new versions of it, such as the published theoretical studies on various parameters of PSO, proposed many variants of the algorithm and numerous other advances. In the present paper, an overview of the PSO algorithm is presented. On the one hand, the basic concepts and parameters of PSO are explained, on the other hand, various advances in relation to PSO, including its modifications, extensions, hybridization, theoretical analysis, are included.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app12178392