Advancing evolutionary coordination for fixed-wing communications UAVs
Giagkos, Alexandros, Tuci, Elio and Wilson, Myra S. (2015) Advancing evolutionary coordination for fixed-wing communications UAVs. Conference Towards Autonomous Robotic Systems, 9287 . pp. 124-135. ISSN 0302-9743 [Article] (doi:10.1007/978-3-319-22416-9_14)
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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 representation, 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.
Item Type: | Article |
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Research Areas: | A. > School of Science and Technology > Computer Science > Artificial Intelligence group |
Item ID: | 21940 |
Depositing User: | Elio Tuci |
Date Deposited: | 13 Jun 2017 14:27 |
Last Modified: | 29 Nov 2022 22:35 |
URI: | https://eprints.mdx.ac.uk/id/eprint/21940 |
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