Bayesian Optimization Approach of General Bi-level Problems

Reference : Bayesian Optimization Approach of General Bi-level Problems


	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/10993/32009

Title :	Bayesian Optimization Approach of General Bi-level Problems
Language :	English
Author, co-author :	Kieffer, Emmanuel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Danoy, Grégoire [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 Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Nagih, Anass [Université de Lorraine > UFR MIM]
Publication date :	2017
Main document title :	Proceedings of the Genetic and Evolutionary Computation Conference Companion
Publisher :	ACM
Pages :	1614-1621
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4503-4939-0
City :	New York
Country :	USA
Event name :	The Genetic and Evolutionary Computation Conference
Event date :	from 15-07-2017 to 19-07-2017
Event place (city) :	Berlin
Event country :	Germany
Permalink :	http://hdl.handle.net/10993/32009
DOI :	10.1145/3067695.3082537
Other URL :	http://doi.acm.org/10.1145/3067695.3082537

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