Multi-Objective Evolutionary Approach for the Satellite Payload Power Optimization Problem

Reference : Multi-Objective Evolutionary Approach for the Satellite Payload Power 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/10993/19547

Title :	Multi-Objective Evolutionary Approach for the Satellite Payload Power Optimization Problem
Language :	English
Author, co-author :	Kieffer, Emmanuel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Stathakis, Apostolos [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) >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Talbi, El-Ghazali [University of Lille, INRIA, CNRS, France]
	Morelli, Gianluigi [SES S.A.]
Publication date :	Dec-2014
Main document title :	IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014)
Peer reviewed :	Yes
Audience :	International
Event name :	IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014)
Event date :	from 8-12-2014 to 12-12-2014
Permalink :	http://hdl.handle.net/10993/19547

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