Disasters have caused significant losses to humans in the past decades. It is essential to
learn about the disaster situation so that rescue works can be conducted as soon as …

The path planning of Unmanned Aerial Vehicle (UAV) is a real-world optimization problem,
and even develops into a hard optimization problem with many objectives and constraints …

In this article, different state-of-the-art metaheuristic algorithms are analyzed to incorporate
the collision-free path-planning approach for UAVs in a disaster situation. The efficient path …

The present paper applies a heuristic and genetic algorithms approaches to the path
planning problem for Unmanned Aerial Vehicles (UAVs), during an emergency landing …

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 …

Autonomous navigation is significant to UAVs, especially in disaster scenarios. A Hybrid
GWO and Differential Evolution (HGWODE) algorithm is developed to solve UAV path …

CIPDE and JADE are two powerful and effective Differential Evolution (DE) algorithms with
strong exploration and exploitation capabilities. In order to take advantage of these two …

Search and Rescue Operations (SAR) take place in any emergency situation where people
are involved and their lives are at risk. These operations are nowadays carried out with the …

This paper formulates the global route planning problem for the unmanned aerial vehicles
(UAVs) as a constrained optimization problem in the three-dimensional environment and …

Automatic generation of optimized flyable path is a key technology and challenge for
autonomous unmanned aerial vehicle (UAV) formation system. Aiming to improve the …