A Framework of Hyper-Heuristics based on Q-Learning

Reference : A Framework of Hyper-Heuristics based on Q-Learning


	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/10993/51246

Title :	A Framework of Hyper-Heuristics based on Q-Learning
Language :	English
Author, co-author :	Duflo, Gabriel [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) >]
	Talbi, El-Ghazali [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Publication date :	2022
Main document title :	International Conference in Optimization and Learning (OLA2022)
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	International Conference in Optimization and Learning (OLA2022)
Event date :	18-07-2022 to 20-07-2022
Permalink :	http://hdl.handle.net/10993/51246

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