Enhanced aquila optimizer for global optimization and data clustering

Enhanced aquila optimizer for global optimization and data clustering

Abstract The Aquila Optimizer (AO) is a newly proposed, highly capable metaheuristic algorithm based on the hunting and search behavior of the Aquila bird. However, the AO faces some challenges when dealing with high-dimensional optimization problems due to its narrow exploration capabilities and a...

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Bibliographic Details
Main Authors: Laith Abualigah, Saleh Ali Alomari, Mohammad H. Almomani, Raed Abu Zitar, Hazem Migdady, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Amir H. Gandomi
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Aquila optimizer
Meta-heuristics optimization algorithms
Opposition-based learning
Data clustering problems
Optimization problems
Online Access:https://doi.org/10.1038/s41598-025-95888-w
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https://doi.org/10.1038/s41598-025-95888-w

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