We attribute the gain in popularity of Unmanned Aerial Vehicles (UAV), Platforms and
Systems (UAS) to its ease of operation, versatility, and risk-free piloting. The primary UAV …

This paper presents a path planner for multiple unmanned aerial vehicles (UAVs) based on
evolutionary algorithms (EAs) for realistic scenarios. The paths returned by the algorithm …

Evolutionary algorithm-based unmanned aerial vehicle (UAV) path planners have been
extensively studied for their effectiveness and flexibility. However, they still suffer from a …

This paper proposes a novel Dynamic Adaptive Ant Lion Optimizer (DAALO) for route
planning of unmanned aerial vehicle. Ant Lion Optimizer (ALO) is a new intelligent algorithm …

Drones have become prevalent for the delivery of goods by many retail companies such as
Amazon and Dominos. Amazon has an issued patent that describes how drones scan and …

We study the multi-objective route planning problem of an unmanned air vehicle (UAV)
moving in a continuous terrain. In this problem, the UAV starts from a base, visits all targets …

Energy Efficiency Optimization in UAVs: A Review Page 1 Energy Efficiency Optimization in
UAVs: a review Eleftherios I. Amoiralis 1, a , Marina A. Tsili 2,b , Vassilios Spathopoulos 1,c and …

The big number of evolutionary planners for Unmanned Aerial Vehicles (UAVs) that have
been developed demonstrates the good acceptance that the evolutionary techniques enjoy …

Unmanned Aerial Vehicles (UAVs) have traditionally been used for short duration missions
involving surveillance or military operations. Advances in batteries, photovoltaics and …

The autonomous coordinated flying for groups of unmanned aerial vehicles that maximise
network coverage to mobile ground-based units by efficiently utilising the available on-board …