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

Iran Pour, Siavash; Reubelt, Tilo; WEIGELT, Matthias; Murböck, Michael; Daras, Ilias; Tonetti, Stefania; Cornara, Stefano; Gruber, Thomas; VAN DAM, Tonie; Pail, Roland; Sneeuw, Nico

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Poster (Scientific congresses, symposiums and conference proceedings)

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

Iran Pour, Siavash; Reubelt, Tilo; WEIGELT, Matthias et al.

2014 • The 3rd International Gravity Field Service (IGFS) General Assembly

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https://hdl.handle.net/10993/18193

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Disciplines :

Earth sciences & physical geography

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

Language :

English

Title :

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

Publication date :

June 2014

Event name :

The 3rd International Gravity Field Service (IGFS) General Assembly

Event place :

Shanghai, China

Event date :

June 30-July 6, 2014

Audience :

International

Additional URL :

http://202.127.29.4/meetings/igfs2014/

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since 06 October 2014

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