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A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms
Stolfi Rosso, Daniel; Brust, Matthias R.; Danoy, Grégoire et al.
2020In IEEE 17th Annual Consumer Communications & Networking Conference CCNC 2020, Las Vegas, NV, USA, January 10-13, 2020
Peer reviewed
 

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Disciplines :
Computer science
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)
External co-authors :
no
Language :
English
Title :
A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms
Publication date :
2020
Event name :
17th Annual Consumer Communications & Networking Conference (CCNC 2020)
Event date :
from 10-01-2020 to 13-01-2020
Audience :
International
Main work 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 :
Peer reviewed
Available on ORBilu :
since 07 August 2020

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