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

The unmanned aerial vehicle (UAV) route planning problem mainly centralizes on the
process of calculating the best route between the departure point and target point as well as …

Unmanned aerial vehicles are applied extensively in various fields due to their advantages
of low-cost, high-maneuverability, and easy-operation. However, the path planning problem …

Optimized Path planning plays a significant role in enabling autonomous operation of
Unmanned Aerial Vehicles (UAVs). Finding the shortest path is one of many NP-hard …

In the Unmanned Aerial Vehicle (UAV) system, finding a flight planning path with low cost
and fast search speed is an important problem. However, in the complex three-dimensional …

In this paper, we propose a modified hybrid Salp Swarm Algorithm (SSA) and Aquila
Optimizer (AO) named IHSSAO for UAV path planning in complex terrain. The primary logic …

Automatic path planning problem is essential for efficient mission execution by unmanned
aerial vehicles (UAVs), which needs to access the optimal path rapidly in the complicated …

Aiming at the problems of low stability of path planning, inability to avoid dynamic obstacles,
and long path planning for multi unmanned aerial vehicles (UAV) in mountainous …

An improved chaos particle swarm optimization (CPSO) algorithm is proposed on path
planning for unmanned aerial vehicle (UAV) to overcome the inadequacy of particle swarm …

With the wave of artificial intelligence sweeping the world in recent years, UAVs is widely
used in various fields. UAV path planning has attracted much attention from scientists as an …