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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Published in | Knowledge-based systems Vol. 251; p. 109215 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
05.09.2022
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Subjects | |
Online Access | Get full text |
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