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...

Full description

Saved in:
Bibliographic Details
Published inKnowledge-based systems Vol. 251; p. 109215
Main Authors Zhong, Changting, Li, Gang, Meng, Zeng
Format Journal Article
LanguageEnglish
Published Elsevier B.V 05.09.2022
Subjects
Online AccessGet full text

Cover

Loading…