Article (Scientific journals)
Bayesian optimisation to select Rössler system parameters used in Chaotic Ant Colony Optimisation for Coverage
Rosalie, Martin; Kieffer, Emmanuel; Brust, Matthias R. et al.
2020In Journal of Computational Science, 41, p. 101047
Peer Reviewed verified by ORBi
 

Files


Full Text
opti_cacoc_revision.pdf
Author preprint (11.78 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
Rosalie, Martin
Kieffer, Emmanuel ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Brust, Matthias R. ;  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)
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Bayesian optimisation to select Rössler system parameters used in Chaotic Ant Colony Optimisation for Coverage
Publication date :
2020
Journal title :
Journal of Computational Science
ISSN :
1877-7503
Publisher :
Elsevier, Netherlands
Volume :
41
Pages :
101047
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 07 August 2020

Statistics


Number of views
172 (58 by Unilu)
Number of downloads
7 (7 by Unilu)

Scopus citations®
 
7
Scopus citations®
without self-citations
6
OpenCitations
 
5
WoS citations
 
7

Bibliography


Similar publications



Contact ORBilu