Quantum Optimization Methods for Satellite Mission Planning

Satellite mission planning for Earth observation satellites is a combinatorial optimization problem that consists of selecting the optimal subset of imaging requests, subject to constraints, to be fulfilled during an orbit pass of a satellite. The ever-growing amount of satellites in orbit underscor...

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Veröffentlicht in:	IEEE access Jg. 12; S. 71808 - 71820
Hauptverfasser:	Makarov, Anton, Perez-Herradon, Carlos, Franceschetto, Giacomo, Taddei, Marcio M., Osaba, Eneko, del Barrio Cabello, Paloma, Villar-Rodriguez, Esther, Oregi, Izaskun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Annealing Approximation algorithms Cameras Combinatorial analysis Combinatorial optimization earth observation Fields (mathematics) Graph theory Mission planning Optimization Optimization methods Planning Quantum annealing quantum approximate optimization algorithm Quantum computers Quantum computing satellite mission planning Satellite observation Satellites
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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