A Novel Co-evolutionary Approach for Constrained Genetic Algorithms

Reference : A Novel Co-evolutionary Approach for Constrained 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/10993/28196

Title :	A Novel Co-evolutionary Approach for Constrained Genetic Algorithms
Language :	English
Author, co-author :	Kieffer, Emmanuel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Guzek, Mateusz [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)]
	Nagih, Anass [Université de Lorraine]
Publication date :	2016
Main document title :	Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
Publisher :	ACM
Collection and collection volume :	GECCO '16 Companion
Pages :	47--48
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4503-4323-7
City :	New York, NY, USA
Event name :	Genetic and Evolutionary Computation Conference (GECCO)
Event date :	07-2016
Event country :	Denver, Colorado, USA
Keywords :	[en] co-evolutionary algorithms ; constraints handling ; problem decomposition
Permalink :	http://hdl.handle.net/10993/28196
DOI :	10.1145/2908961.2908969
Other URL :	http://doi.acm.org/10.1145/2908961.2908969

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