Hybrid Cellular Genetic Algorithm for Global Trajectory Optimization Problem

Reference : Hybrid Cellular Genetic Algorithm for Global Trajectory Optimization Problem


	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/10993/16672

Title :	Hybrid Cellular Genetic Algorithm for Global Trajectory Optimization Problem
Language :	English
Author, co-author :	Danoy, Grégoire [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Gaspar Pinto, Frederico [> >]
	Dorronsoro, Bernabé [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2010
Main document title :	International Conference on Metaheuristics and Nature Inspired Computing
Pages :	1-2
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	International Conference on Metaheuristics and Nature Inspired Computing (META)
Event date :	form 27-10-2010 to 31-10-2010
Event place (city) :	Djerba
Event country :	Tunisia
Research centres :	University of Luxembourg: High Performance Computing - ULHPC
Permalink :	http://hdl.handle.net/10993/16672

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	Danoy.pdf		Author postprint	80.84 kB	Request a copy

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