A conceptual and practical comparison of PSO-style optimization algorithms

Optimization algorithms are widely employed for finding optimal solutions in many applications. Stochastic optimization algorithms including nature-inspired optimization algorithms are simple and easy to implement, and this is the reason why there is a growing interest in this research area. Recentl...

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Vydané v:	Expert systems with applications Ročník 167; s. 114430
Hlavní autori:	Tharwat, Alaa, Schenck, Wolfram
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.04.2021 Elsevier BV
Predmet:	Algorithms Bat algorithm Gray wolf optimization (GWO) Nature-inspired optimization algorithms Optimization Optimization algorithms Particle swarm optimization (PSO) Sine–cosine algorithm (SCA) Swarm optimization algorithms Whale optimization algorithm (WOA) Bat algorithm Particle swarm optimization (PSO) Whale optimization algorithm (WOA) Nature-inspired optimization algorithms Gray wolf optimization (GWO) Swarm optimization algorithms Sine–cosine algorithm (SCA)
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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