Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Bayesian Optimization Approach of General Bi-level Problems
Kieffer, Emmanuel; Danoy, Grégoire; Bouvry, Pascal et al.
2017In Proceedings of the Genetic and Evolutionary Computation Conference Companion
Peer reviewed
 

Files


Full Text
bayesian-optimization-approach.pdf
Author preprint (1.72 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
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
External co-authors :
yes
Language :
English
Title :
Bayesian Optimization Approach of General Bi-level Problems
Publication date :
2017
Event name :
The Genetic and Evolutionary Computation Conference
Event place :
Berlin, Germany
Event date :
from 15-07-2017 to 19-07-2017
Audience :
International
Main work title :
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Publisher :
ACM, New York, United States
ISBN/EAN :
978-1-4503-4939-0
Pages :
1614-1621
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 30 August 2017

Statistics


Number of views
225 (32 by Unilu)
Number of downloads
8 (7 by Unilu)

Scopus citations®
 
9
Scopus citations®
without self-citations
5
OpenCitations
 
5

Bibliography


Similar publications



Contact ORBilu