A GP Hyper-Heuristic Approach for Generating TSP Heuristics

Reference : A GP Hyper-Heuristic Approach for Generating TSP Heuristics


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/39841

Title :	A GP Hyper-Heuristic Approach for Generating TSP Heuristics
Language :	English
Author, co-author :	Duflo, Gabriel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Kieffer, Emmanuel [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Brust, Matthias R. [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Danoy, Grégoire [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > 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 :	20-May-2019
Main document title :	33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2019)
Peer reviewed :	Yes
Audience :	International
Event name :	9th IEEE Workshop Parallel / Distributed Combinatorics and Optimization (PDCO 2019)
Event date :	20-05-2019
Event place (city) :	Rio de Janeiro
Event country :	Brazil
Permalink :	http://hdl.handle.net/10993/39841

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Limited access	PDCO2019.pdf		Author preprint	306.8 kB	Request a copy

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