Combining machine learning and genetic algorithms to solve the independent tasks scheduling problem

Reference : Combining machine learning and genetic algorithms to solve the independent tasks sche...


	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/10993/43010

Title :	Combining machine learning and genetic algorithms to solve the independent tasks scheduling problem
Language :	English
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)]
Publication date :	2017
Main document title :	2017 3rd IEEE International Conference on Cybernetics (CYBCONF)
Pages :	1--8
Peer reviewed :	Yes
Audience :	International
Event name :	3rd IEEE International Conference on Cybernetics (CYBCONF)
Event date :	from 21 to 23 June 2017
Event organizer :	IEEE
Permalink :	http://hdl.handle.net/10993/43010
DOI :	10.1109/CYBConf.2017.7985766

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	VScGA.pdf		Author preprint	498.37 kB	Request a copy

All documents in ORBi^lu are protected by a user license.