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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Jiaxu Huang, Haiqing Hu
स्वरूप:	लेख
भाषा:	English
प्रकाशित:	SpringerOpen 2024-01-01
श्रृंखला:	Journal of Big Data
विषय:	Beluga whale optimization Quasi-oppositional based learning The adaptive and spiral predation strategies Nelder-Mead simplex search Engineering design
ऑनलाइन पहुंच:	https://doi.org/10.1186/s40537-023-00864-8

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