Abstract Particle Swarm Optimization (PSO) is a key tool in Artificial Intelligence, is well-
known to the public for its effectiveness in addressing complex and diverse problems. It …

Metaheuristic algorithms have become increasingly significant in solving complex
optimization problems. To address the limitations of the original Aquila Optimizer (AO), such …

Medical image segmentation is an important technical tool, OTSU algorithm is a common
method in threshold segmentation, but with the increase of the number of threshold …

This study suggests an improved chaos sparrow search algorithm to overcome the problems
of slow convergence speed and trap** in local optima in UAV 3D complex environment …

The ultra-low-altitude penetration with complex three-dimensional terrain environment
usually requires the path planning algorithm to be computationally efficient to generate …

Coverage path planning describes the process of finding an effective path robots can take to
traverse a defined dynamic operating environment where there are static (fixed) and …

The original Harris hawks optimization (HHO) algorithm has the problems of unstable
optimization effect and easy to fall into stagnation. However, most of the improved HHO …

Signal coverage quality and intensity distribution in complex environments pose a critical
challenge, particularly evident in high-density personnel areas and specialized regions with …

Accurate parameters identification of photovoltaic (PV) models is essential for state
assessment of PV systems, as well as for supporting maximum power point tracking and …

In this paper, aiming at the problems of large randomness, low convergence accuracy, and
easy falling into local optimum in the application of sparrow search algorithm to UAV three …