With the continuous development of UAV technology and swarm intelligence technology, the
UAV formation cooperative mission has attracted wide attention because of its remarkable …

Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

The existing solutions for nonconvex optimization problems show satisfactory performance
in noise-free scenarios. However, they are prone to yield inaccurate results in the presence …

In science and engineering, many optimization tasks are difficult to solve, and the core
concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics …

Unmanned Aerial Vehicles (UAVs), a subset of aerial robots, play crucial roles in various
domains, such as disaster management, agriculture, and healthcare. Their application …

When unmanned aerial vehicles (UAVs) are carrying out missions, they are faced with
complex task environments. To enhance the adaptability of UAV applications, it is required …

In a highly challenging environment, it is difficult to ensure effective information exchange
between UAVs due to disruptions and limitations in communication. Aiming at the problem of …

In this study, an enhanced hybrid Grey Wolf Optimization algorithm (HI-GWO) is proposed to
address the challenges encountered in traditional swarm intelligence algorithms for mobile …

Optimal trajectory planning in a windy environment is a complex problem when airplane
performance characteristics are considered. This paper introduces a novel form of Legendre …

The increasing popularity of unmanned aerial vehicles (UAVs), commonly known as drones,
in various fields is primarily due to their agility, quick deployment, flexibility, and excellent …