Abstract Unmanned Aerial Vehicle (UAV) path planning is to plan an optimal path for its
flight in a specific environment. But it cannot get satisfactory results using ordinary …

Wildfires have long been one of the critical environmental disasters that require a careful
monitoring system. An intelligent system has the potential to both prevent/extinguish the fire …

This study focuses on the path-planning problem of rescue UAVs with regional detection
priority. Initially, we propose a mixed-integer programming model that integrates coverage …

In the problem of trajectory optimization for unmanned aerial vehicles (UAVs) passing
through multiple target points, continuous velocity and acceleration in the process of …

Ship path planning is the core problem of autonomous driving of smart ships and the basis
for avoiding obstacles and other ships reasonably. To achieve this goal, this study improved …

The recently introduced coati optimization algorithm suffers from drawbacks such as slow
search velocity and weak optimization precision. An enhanced coati optimization algorithm …

In recent decades, Rapidly-exploring Random Tree star (RRT*) has garnered significant
attention in the field of path planning due to its asymptotical optimality feature. However, the …

Deep reinforcement learning technology applied to three-dimensional Unmanned Aerial
Vehicle (UAV) air game maneuver decision-making often results in low utilization efficiency …

Forest fire is a significant global natural disaster, and unmanned aerial vehicles (UAVs)
have gained attention in wildfire prevention for their efficient and flexible monitoring …

In this paper, an innovative method is proposed to improve the global path planning of
Unmanned Surface Vehicles (USV) in complex sea areas, combining fluid mechanic …