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Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review

The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-free, conceptually simple, user-friendly, ada...

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Principais autores: Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Sofian Kassaymeh, Seyedali Mirjalili, Raed Abu Zitar
格式: Artigo
語言:Inglês
出版: IEEE 2024-01-01
叢編:IEEE Access
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在線閱讀:https://ieeexplore.ieee.org/document/10215385/
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