Urban air mobility (UAM) has attracted the attention of aircraft manufacturers, air navigation
service providers and governments in recent years. Preventing the conflict among urban …

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …

Three-dimension path planning of uninhabited combat aerial vehicle (UCAV) is a
complicated optimal problem, which mainly focused on optimizing the flight route …

As an emerging technology, multi-UAV collaboration is widely used in military and civil
applications, including regional surveillance, remote sensing, target strike, etc. As a key step …

As a challenging high-dimensional multimodal optimization problem, path planning for
unmanned combat aerial vehicles (UCAVs) has evolved into a hard optimization problem …

A new approach to route planning for joint search and track missions by coordinated
unmanned aerial vehicles (UAVs) is presented. The cornerstone is a novel objective …

The unmanned aerial vehicle (UAV) has drawn increasing attention in recent years,
especially in executing tasks such as natural disaster rescue and detection, and battlefield …

Meta-heuristic algorithms have been known to solve complex problems which were once
considered difficult to solve. They produce an optimal or near optimal solution with reduced …

Path planning is an essential component of the unmanned combat aerial vehicle (UCAV)
system and is the precondition for achieving tasks such as aerial reconnaissance …

Unmanned aerial vehicle (UAV) path planning is crucial in UAV mission fulfillment, with the
aim of finding a satisfactory path within affordable time and moderate computation …