Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Combining machine learning and genetic algorithms to solve the independent tasks scheduling problem
Dorronsoro, Bernabé; Pinel, Frédéric
2017In 2017 3rd IEEE International Conference on Cybernetics (CYBCONF)
Peer reviewed
 

Files


Full Text
VScGA.pdf
Author preprint (510.33 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
Dorronsoro, Bernabé;  University of Càdiz > Escuela Superior de Ingeniería > Departamento de Ingeniería Informática
Pinel, Frédéric ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Combining machine learning and genetic algorithms to solve the independent tasks scheduling problem
Publication date :
2017
Event name :
3rd IEEE International Conference on Cybernetics (CYBCONF)
Event organizer :
IEEE
Event date :
from 21 to 23 June 2017
Audience :
International
Main work title :
2017 3rd IEEE International Conference on Cybernetics (CYBCONF)
Pages :
1--8
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 23 April 2020

Statistics


Number of views
50 (0 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
14
Scopus citations®
without self-citations
10
WoS citations
 
14

Bibliography


Similar publications



Contact ORBilu