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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Podrobná bibliografie
Hlavní autoři: Jiaxu Huang, Haiqing Hu
Médium: Článek
Jazyk:English
Vydáno: SpringerOpen 2024-01-01
Edice:Journal of Big Data
Témata:
Beluga whale optimization
Quasi-oppositional based learning
The adaptive and spiral predation strategies
Nelder-Mead simplex search
Engineering design
On-line přístup:https://doi.org/10.1186/s40537-023-00864-8

Internet

https://doi.org/10.1186/s40537-023-00864-8

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