Associating optical observations of space debris in GEO with an Elitist Genetic Algorithm

Zittersteijn, Michiel; Vananti, Alessandro; Schildknecht, Thomas; Dolado Perez, J.C.; Martinot, V. (2016). Associating optical observations of space debris in GEO with an Elitist Genetic Algorithm (Unpublished). In: Final Stardust Conference. Noordwijk, Netherlands. 31.10.-04.11.2016.

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This research aims to provide a method that can treat the association and initial orbit determination problems simultaneously. This problem is also known as the Multiple Target Tracking (MTT) problem. The complexity of the MTT problem is defined by its dimension S. The S>3 MTT problem is an NP-hard combinatorial optimization problem. In previous work an Elitist Genetic Algorithm (EGA) was proposed as a method to approximately solve this problem. It was shown that the EGA is able to find a good approximate solution in a reasonable computation time. In this work the algorithm is applied to observations taken at the Zimmerwald observatory.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Astronomy

UniBE Contributor:

Zittersteijn, Michiel; Vananti, Alessandro and Schildknecht, Thomas

Subjects:

500 Science > 520 Astronomy

Language:

English

Submitter:

Alessandro Vananti

Date Deposited:

14 Feb 2017 08:56

Last Modified:

14 Feb 2017 08:56

BORIS DOI:

10.7892/boris.91313

URI:

https://boris.unibe.ch/id/eprint/91313

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