Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Optimising pheromone communication in a UAV swarm
Stolfi, Daniel H.; Brust, Matthias R.; Danoy, Grégoire et al.
2021In GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021
Peer reviewed
 

Files


Full Text
gecco2021.pdf
Author postprint (647.94 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
Stolfi, Daniel H.
Brust, Matthias R. ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG
Danoy, Grégoire  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
Optimising pheromone communication in a UAV swarm
Publication date :
2021
Event name :
Genetic and Evolutionary Computation Conference (GECCO)
Event date :
July 10-14, 2021
Audience :
International
Main work title :
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021
Publisher :
ACM
Pages :
323--324
Peer reviewed :
Peer reviewed
Name of the research project :
HUNTED
Funders :
ONRG
Available on ORBilu :
since 16 December 2021

Statistics


Number of views
102 (22 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenCitations
 
0

Bibliography


Similar publications



Contact ORBilu