Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution

Reference : Achieving super-linear performance in parallel multi-objective evolutionary algorithm...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/16730

Title :	Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution
Language :	English
Author, co-author :	Dorronsoro, Bernabé [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Danoy, Grégoire [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Nebro, Antonio J. [University of Malaga]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2013
Journal title :	Computers and Operations Research
Volume :	40
Issue/season :	6
Pages :	1552-1563
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	0305-0548
Research centres :	University of Luxembourg: High Performance Computing - ULHPC
Permalink :	http://hdl.handle.net/10993/16730

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