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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Bibliographic Details

Published in:	Knowledge-based systems Vol. 251; p. 109215
Main Authors:	Zhong, Changting, Li, Gang, Meng, Zeng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 05.09.2022
Subjects:	Beluga whale optimization Metaheuristics Optimization Swarm intelligence Beluga whale optimization Swarm intelligence Metaheuristics Optimization
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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