Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of beluga whales, called beluga whale optimization (BWO), is presented to solve optimization problem. Three phases of exploration, exploitation and whale fall are established in BWO, corresponding to the behaviors...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Knowledge-based systems Jg. 251; S. 109215
Hauptverfasser:	Zhong, Changting, Li, Gang, Meng, Zeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 05.09.2022
Schlagworte:	Beluga whale optimization Metaheuristics Optimization Swarm intelligence Beluga whale optimization Swarm intelligence Metaheuristics Optimization
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!