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 …

The Aquila optimizer (AO) is a recently developed swarm algorithm that simulates the
hunting behavior of Aquila birds. In complex optimization problems, an AO may have slow …

This paper proposes a novel population-based optimization method, called Aquila Optimizer
(AO), which is inspired by the Aquila's behaviors in nature during the process of catching the …

Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly
developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of …

This paper proposes new versions of Harris Hawks Optimizer (HHO) incorporated the
survival-of-the-fittest principle of evolutionary algorithms. HHO is the recent swarm-based …

This paper introduces an improved hybrid Aquila Optimizer (AO) and Harris Hawks
Optimization (HHO) algorithm, namely IHAOHHO, to enhance the searching performance for …

This paper presents a new metaheuristic optimization algorithm, namely Bonobo optimizer
(BO). It is inspired from the social behaviour and reproductive strategies of Bonobos …

Aquila Optimizer (AO) and Artificial Rabbits Optimization (ARO) are two recently developed
meta-heuristic optimization algorithms. Although AO has powerful exploration capability, it …

This study constructs a reinforcement learning-based hybrid algorithm for Aquila Optimizer
(AO) and improved Arithmetic Optimization Algorithm (IAOA). The point of the hybrid …

Many new algorithms have been proposed to solve the mathematical equations formulated
to describe the real-world problems. But there still does not exist one algorithm that could …