The fast growth of computational-intelligence and computer vision-based approaches in the
field of robotics have initiated the development of novel unmanned aircraft vehicles (UAVs) …

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

The goal of Multi-Objective Path Planning (MOPP) is to find Pareto-optimal paths for
autonomous agents with respect to several optimization goals like minimizing risk, path …

Genetic Algorithm (GA) has made successful application in unmanned aerial vehicle (UAV)
path planning. However, for multi-target problem, additional function should be included to …

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 …

Military unmanned aerial vehicles (UAVs) are employed in highly dynamic environments
and must often adjust their trajectories based on the evolving situation. To operate …

Abstract Unmanned Aerial Vehicle (UAV) path planning problems can be treated as
constrained multi-objective optimization problems, which often have complicated constraints …

UAV works under a complex environment and features a high flight freedom in low altitude
flight, and path planning is a difficult point in guaranteeing economy and safety of flight. This …

In this paper, we present a parallel hybrid metaheuristic that combines the strengths of the
particle swarm optimization (PSO) and the genetic algorithm (GA) to produce an improved …

Due to recent booming of unmanned air vehicles (UAVs) technologies, these are being used
in many fields involving complex tasks. Some of them involve a high risk to the vehicle …