Advancing Evolutionary Coordination for Fixed-Wing Communications UAVs

Alexandros Giagkos, Elio Tuci, Myra Wilson

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


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.
Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems
Subtitle of host publicationProceedings 16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015
EditorsClare Dixon, Karl Tuyls
Place of PublicationLiverpool, UK
PublisherSpringer Nature
Number of pages12
ISBN (Print)978-3-319-22415-2, 3319224158
Publication statusPublished - 30 Aug 2015
Event16th Annual Conference, TAROS 2015 - Liverpool, United Kingdom of Great Britain and Northern Ireland
Duration: 08 Sept 201510 Sept 2015

Publication series

NameLecture Notes in Artificial Intelligence (LNAI)
PublisherSpringer International Publishing


Conference16th Annual Conference, TAROS 2015
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
Period08 Sept 201510 Sept 2015


  • Evolutionary algorithms, Unmanned Aerial Vehicles, Coordination strategies


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