A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms

Reference : A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/43997

Title :	A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms
Language :	English
Author, co-author :	Stolfi Rosso, Daniel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Brust, Matthias R. [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Danoy, Grégoire [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
Publication date :	2020
Main document title :	IEEE 17th Annual Consumer Communications & Networking Conference CCNC 2020, Las Vegas, NV, USA, January 10-13, 2020
Publisher :	IEEE
Pages :	1--6
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	17th Annual Consumer Communications & Networking Conference (CCNC 2020)
Event date :	from 10-01-2020 to 13-01-2020
Permalink :	http://hdl.handle.net/10993/43997
DOI :	10.1109/CCNC46108.2020.9045643
Other URL :	https://doi.org/10.1109/CCNC46108.2020.9045643

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