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...

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Vydané v:	Knowledge-based systems Ročník 251; s. 109215
Hlavní autori:	Zhong, Changting, Li, Gang, Meng, Zeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 05.09.2022
Predmet:	Beluga whale optimization Metaheuristics Optimization Swarm intelligence Beluga whale optimization Swarm intelligence Metaheuristics Optimization
ISSN:	0950-7051, 1872-7409
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