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 …

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 …

Chaotic maps are sources of randomness formed by a set of rules and chaotic variables.
They have been incorporated into metaheuristics because they improve the balance of …

Abstract The Aquila Optimization (AO) algorithm is a newly established swarm-based
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …

The Aquila Optimizer (AO) is a new bio-inspired meta-heuristic algorithm inspired by
Aquila's hunting behavior. Adaptive Aquila Optimizer Combining Niche Thought with …

Young's modulus and Poisson's ratio are crucial parameters for reservoir characterization
and rock brittleness evaluation. Conventional methods often rely on indirect computation or …

In digital communication, channel equalization plays an important role in mitigating the
effects of inter-symbol interference, non-linearity and noise. In case of wireless channels, it …

Monitoring the condition of the grinding wheel in real-time during the grinding process is
crucial as it directly impacts the precision and quality of the workpiece. Deep learning …

Evolutionary algorithms (EAs) simulate the process of biological evolution in nature to solve
problems. EAs are a class of global optimization methods with high robustness, and have …

This blog explores the innovative intersection of evolutionary algorithms and machine
learning, shedding light on how the principles of natural selection and genetic evolution can …