@inproceedings{e06b40d4dfd345f5aaac41b3067bcfca,
title = "Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles",
abstract = "A system to coordinate the movement of a group of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles with communication needs is presented. Using evolutionary algorithms, the system evolves flying manoeuvres that position the aerial vehicles by fulfilling two key requirements; i) they maximise net coverage and ii) they minimise the power consumption. Experimental results show that the proposed coordination system is able to offer a desirable level of adaptability with respect to the objectives set, providing useful feedback for future research directions.",
keywords = "Evolutionary algorithms, unmanned aerial vehicles, coordination strategies",
author = "Alexandros Giagkos and Wilson, {Myra Scott} and Elio Tuci and Charlesworth, {Philip B.}",
year = "2014",
language = "English",
isbn = "978-3-319-10400-3",
series = "LNCS",
publisher = "Springer Nature",
number = "8717",
pages = "48--57",
editor = "M. Mistry and A. Leonardis and M. Witkowski and C. Melhuish",
booktitle = "15th Towards Autonomous Robotic Systems (TAROS 2014)",
address = "Switzerland",
}