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 fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a
special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been …

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 …

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 …

This paper considers the unmanned aerial vehicle (UAV) global path planning as an
optimization problem with multiple constraints and proposes an improved fireworks …

Unmanned aerial vehicle path planning is a high dimensional NP-hard problem. It is related
to optimizing the flight route subject to various constraints inside the battlefield environment …

Route planning is a research topic in artificial intelligence of paramount importance for a
plethora of applications related to transportation and mobility. Problems related to the …

The task of path planning in amphibious environments requires additional consideration due
to the complexity of the amphibious environments. This paper presents a path planning …

Unmanned Aerial Vehicles (UAVs) are ideally suited for many real-world applications
ranging from scientific to commercial, industrial, and military fields. Enhancing the efficiency …

The use of the unmanned aerial vehicles is rapidly growing in the ever more extensive
range of applications where the military is the oldest ones. One of the fundamental problems …