UAVs are increasingly incorporated in a wide range of domains such as disaster
management and rescue missions. UAV path planning deals with finding the most optimal or …

In the multiple fields covered by Artificial Intelligence (AI), path planning is undoubtedly one
of the issues that cover a wide range of research lines. To be able to find an optimal solution …

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 …

When using evolutionary algorithms to address constrained optimization problems, it is
important to balance not only the diversity and convergence but also the constraints and …

Under harsh geographical conditions where manned flight is not possible, the ability of the
unmanned aerial vehicle (UAV) to successfully carry out the payload hold–release mission …

Meta-heuristic algorithms have turned out to be good methods to address optimization
problems with complicated constraints, and those algorithms have been widely applied to …

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 …

A system that can fly off and touches down to execute particular tasks is a flying robot.
Nowadays, these flying robots are capable of flying without human control and make …

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 …

The complexity and diversity of the flight environment pose great challenges to unmanned
aerial vehicle route planning, which demands feasible flight strategies and efficient route …