Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach
Duflo, Gabriel; Danoy, Grégoire; Talbi, El-Ghazali et al.
2020In GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Duflo, Gabriel ;  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)
Talbi, El-Ghazali ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; University of Lille, INRIA, France
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach
Publication date :
2020
Event name :
Genetic and Evolutionary Computation Conference (GECCO 2020)
Event date :
from 01-07-2020 to 12-07-2020
Audience :
International
Main work title :
GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020
Publisher :
ACM
Pages :
227--228
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 07 August 2020

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