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Advances in Mountain Gazelle Optimizer: A Comprehensive Study on its Classification and Applications

Abstract The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems with an effective balance of exploration and exploitation. The MGO...

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Detaylı Bibliyografya
Asıl Yazarlar: Ferzat Anka, Farhad Soleimanian Gharehchopogh, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Springer 2025-10-01
Seri Bilgileri:International Journal of Computational Intelligence Systems
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Online Erişim:https://doi.org/10.1007/s44196-025-00968-4
Etiketler: Etiketle
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