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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Veröffentlicht in:	Expert systems with applications Jg. 167; S. 114430
Hauptverfasser:	Tharwat, Alaa, Schenck, Wolfram
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.04.2021 Elsevier BV
Schlagworte:	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
Online-Zugang:	Volltext
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