Particle Swarm Optimization: A Comprehensive Survey

Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good optimization performance, it still severely suffers from premature convergence. As a result, many researchers have been modifying it resulting in a la...

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Veröffentlicht in:	IEEE access Jg. 10; S. 10031 - 10061
Hauptverfasser:	Shami, Tareq M., El-Saleh, Ayman A., Alswaitti, Mohammed, Al-Tashi, Qasem, Summakieh, Mhd Amen, Mirjalili, Seyedali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applications of PSO binary PSO Birds Evolutionary algorithms Evolutionary computation Feature extraction feature selection Genetic algorithms Heuristic methods hybrid algorithms meta-heuristic algorithms Optimization Parameter modification Particle swarm optimization PSO variants Signal processing algorithms Statistics Topology
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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