Reference : Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/43999
Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach
English
Duflo, Gabriel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Danoy, Grégoire mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)]
Talbi, El-Ghazali mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) > ; University of Lille, INRIA, France]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
2020
GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020
ACM
227--228
Yes
No
International
Genetic and Evolutionary Computation Conference (GECCO 2020)
from 01-07-2020 to 12-07-2020
http://hdl.handle.net/10993/43999
10.1145/3377929.3390026
https://doi.org/10.1145/3377929.3390026

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