@inproceedings{ceb46b62c69149d3aaff19f3ac2c0462,
title = "Advancing Evolutionary Coordination for Fixed-Wing Communications UAVs",
abstract = "In this paper we present advances to our previously proposed coordination system for groups of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles. Evolutionary algorithms are employed in order to evolve flying manoeuvres that position the aerial vehicles. The updates to the system include obstacle pepresentation, a packing mechanism to permit efficient dynamic allocation of ground-based vehicles to their supporting aerial vehicles within large-scale environments, and changes to time synchronisation. The experimental results presented in this paper show that the system is able to adaptively form sparse formations that cover as many ground-based vehicles as possible, optimising the use of the available power.",
keywords = "Evolutionary algorithms, Unmanned Aerial Vehicles, Coordination strategies",
author = "Alexandros Giagkos and Elio Tuci and Myra Wilson",
year = "2015",
month = aug,
day = "30",
doi = "10.1007/978-3-319-22416-9 14",
language = "English",
isbn = "978-3-319-22415-2",
volume = "9287",
series = "Lecture Notes in Artificial Intelligence (LNAI)",
publisher = "Springer Nature",
pages = "124--135",
editor = "Clare Dixon and Karl Tuyls",
booktitle = "Towards Autonomous Robotic Systems",
address = "Switzerland",
note = "16th Annual Conference, TAROS 2015 ; Conference date: 08-09-2015 Through 10-09-2015",
}