Tackling the IFP Problem with the Preference-Based Genetic Algorithm

Reference : Tackling the IFP Problem with the Preference-Based Genetic Algorithm


	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/10993/28197

Title :	Tackling the IFP Problem with the Preference-Based Genetic Algorithm
Language :	English
Author, co-author :	Nielsen, Sune Steinbjorn [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	Ferreira Torres, Christof [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	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)]
Publication date :	2016
Main document title :	Proceedings of the Genetic and Evolutionary Computation Conference 2016
Publisher :	ACM
Collection and collection volume :	GECCO '16
Pages :	965--972
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4503-4206-3
City :	New York, NY, USA
Event name :	Genetic and Evolutionary Computation Conference (GECCO)
Event date :	07-2016
Event country :	Denver, Colorado, USA
Keywords :	[en] genetic algorithm ; inverse folding problem ; protein design
Permalink :	http://hdl.handle.net/10993/28197
DOI :	10.1145/2908812.2908954
Other URL :	http://doi.acm.org/10.1145/2908812.2908954

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