Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Abstract Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and multimodal optimization problems. Ho...

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Bibliografische gegevens
Hoofdauteurs:	Jiaxu Huang, Haiqing Hu
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	SpringerOpen 2024-01-01
Reeks:	Journal of Big Data
Onderwerpen:	Beluga whale optimization Quasi-oppositional based learning The adaptive and spiral predation strategies Nelder-Mead simplex search Engineering design
Online toegang:	https://doi.org/10.1186/s40537-023-00864-8

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