A comprehensive survey on aquila optimizer

B Sasmal, AG Hussien, A Das, KG Dhal - Archives of Computational …, 2023 - Springer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …

Spiral aquila optimizer based on dynamic gaussian mutation: applications in global optimization and engineering

L Zeng, M Li, J Shi, S Wang - Neural Processing Letters, 2023 - Springer
Aquila optimizer (AO) is a nascent meta-heuristic algorithm that draws its inspiration from the
four distinct hunting strategies employed by Aquila in nature. While prior research has …

Bayesian network structure learning with a new ensemble weights and edge constraints setting mechanism

K Liu, Y Zhou, H Huang - Complex & Intelligent Systems, 2024 - Springer
Bayesian networks (BNs) are highly effective in handling uncertain problems, which can
assist in decision-making by reasoning with limited and incomplete information. Learning a …

Hexagonal-Grid-Layout Image Segmentation Using Shock Filters: Computational Complexity Case Study for Microarray Image Analysis Related to Machine Learning …

A Baloi, C Costea, R Gutt, O Balacescu, F Turcu… - Sensors, 2023 - mdpi.com
Hexagonal grid layouts are advantageous in microarray technology; however, hexagonal
grids appear in many fields, especially given the rise of new nanostructures and …