Genetic-algorithm based search strategy for optimal scenarios of future dual-pair gravity satellite missions

Reference : Genetic-algorithm based search strategy for optimal scenarios of future dual-pair gra...


	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
	To cite this reference:	http://hdl.handle.net/10993/18193

Title :	Genetic-algorithm based search strategy for optimal scenarios of future dual-pair gravity satellite missions
Language :	English
Author, co-author :	Iran Pour, Siavash []
	Reubelt, Tilo []
	Weigelt, Matthias [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Murböck, Michael []
	Daras, Ilias []
	Tonetti, Stefania []
	Cornara, Stefano []
	Gruber, Thomas []
	van Dam, Tonie [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Pail, Roland []
	Sneeuw, Nico []
Publication date :	Jun-2014
Peer reviewed :	No
On invitation :	No
Audience :	International
Event name :	The 3rd International Gravity Field Service (IGFS) General Assembly
Event date :	June 30-July 6, 2014
Event place (city) :	Shanghai
Event country :	China
Permalink :	http://hdl.handle.net/10993/18193
Other URL :	http://202.127.29.4/meetings/igfs2014/

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Open access	IGFS2014_Poster_ESA_SC4MGV.pdf		Author postprint	881.26 kB	View/Open

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