Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates

Reference : Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates


	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/10993/44001

Title :	Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates
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 :	2020 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, New Orleans, LA, USA, May 18-22, 2020
Publisher :	IEEE
Pages :	528--535
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	IEEE Workshop on Parallel / Distributed Combinatorics and Optimization (PDCO 2020)
Event date :	18-05-2020
Permalink :	http://hdl.handle.net/10993/44001
DOI :	10.1109/IPDPSW50202.2020.00094
Other URL :	https://doi.org/10.1109/IPDPSW50202.2020.00094

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	pdco2020.pdf		Author preprint	2.8 MB	Request a copy

All documents in ORBi^lu are protected by a user license.