Adaptive hybrid hyperparameter optimization with MRFO and Lévy flight for accurate melanoma classification

Abstract Hyperparameter optimization (HPO) is essential for deep learning in medical image classification, yet standard metaheuristics such as Manta Ray Foraging Optimization (MRFO) often suffer from premature convergence in high-dimensional search spaces. To address these limitations, an enhanced v...

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Autores principales:	Shamsuddeen Adamu, Hitham Alhussian, Said Jadid Abdulkadir, Ayed Alwadin, Sallam O. F. Khairy, Hussaini Mamman, Shamsu Abdullahi, Saidu Yahaya, Aliyu Garba, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Daniel Tonye Oyefidein
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2025-06-01
Colección:	Journal of King Saud University: Computer and Information Sciences
Materias:	Melanoma classification Hyperparameter optimization MRFO-LF Deep learning Medical imaging
Acceso en línea:	https://doi.org/10.1007/s44443-025-00078-3
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