Over the past decade, unmanned aerial vehicles (UAVs) have demonstrated increasing
promise. In this context, we provide a review on swarm intelligence algorithms that play an …

Unmanned aerial vehicles (UAVs) have recently been increasingly popular in various areas,
fields, and applications. Military, disaster management, rescue operations, public services …

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 …

The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path
that connects a start state and a goal state while meeting the required constraints …

Planning a practical three-dimensional (3-D) flight path for unmanned aerial vehicles (UAVs)
is a key challenge for the follow-up management and decision making in disaster …

Abstract Unmanned Aerial Vehicles path planning is one of the critical issues in terms of
guaranteeing good performance in real-world applications. Basically, it is responsible for …

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 …

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 …

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) …

In order to improve power generation efficiency and reduce land cost, many large-scale
photovoltaic (PV) farms are built on the mountain. The rugged terrain of the mountains leads …