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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Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Jiaxu Huang, Haiqing Hu
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: SpringerOpen 2024-01-01
Sraith:Journal of Big Data
Ábhair:
Beluga whale optimization
Quasi-oppositional based learning
The adaptive and spiral predation strategies
Nelder-Mead simplex search
Engineering design
Rochtain ar líne:https://doi.org/10.1186/s40537-023-00864-8

Ar líne

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

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