Optimal Design of Ad Hoc Injection Networks by Using Genetic Algorithms

Reference : Optimal Design of Ad Hoc Injection Networks by Using Genetic Algorithms


	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/10993/16659

Title :	Optimal Design of Ad Hoc Injection Networks by Using Genetic Algorithms
Language :	English
Author, co-author :	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) >]
	Brust, Matthias R. [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Alba, Enrique [> >]
Publication date :	2007
Main document title :	9th annual conference on Genetic and evolutionary computation (GECCO '07)
Publisher :	ACM Press
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-1-59593-697-4
Event name :	9th annual conference on Genetic and evolutionary computation (GECCO '07)
Event date :	2007
Permalink :	http://hdl.handle.net/10993/16659
Commentary :	1 9th annual conference on Genetic and evolutionary computation (GECCO '07)

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