With the rapid development of the network and the informatization of society, how to improve
the accuracy of information is an urgent problem to be solved. The existing method is to use …

Unmanned Systems has been taking place of manned systems in several fields like aviation.
Unmanned Aerial Vehicle (UAV), one of the most popular and effective unmanned systems …

Unmanned aerial vehicle (UAV) path planning plays an important role in the flight process of
an UAV, which needs an effective algorithm to deal with UAV path planning problem. The …

With the wide application of Unmanned Aerial Vehicles (UAVs) in production and life, more
and more attention has been paid to the autonomous track planning of UAVs. When UAV …

Path planning is the essential aspect of autonomous flight system for unmanned aerial
vehicles (UAVs). An improved particle swarm optimization (PSO) algorithm, named GBPSO …

Recently unmanned aerial vehicle (UAV) has been widely applied in military and civil fields
due to its strong autonomic and adaptability. Compared with the manned vehicles, UAV has …

The unmanned aerial vehicle (UAV) path planning problem is primarily concerned with
avoiding collision with obstacles while determining the best flight path to the target position …

Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

Evolutionary Algorithms (EAs) based Unmanned Aerial Vehicle (UAV) path planners have
been extensively studied for their effectiveness and high concurrency. However, when there …

In order to solve the problems such as slow convergence speed, falling into local optimum
easily, unsmooth planning path and high cost of traditional genetic algorithm, an Unmanned …