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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Vydané v:	IEEE access Ročník 12; s. 71808 - 71820
Hlavní autori:	Makarov, Anton, Perez-Herradon, Carlos, Franceschetto, Giacomo, Taddei, Marcio M., Osaba, Eneko, del Barrio Cabello, Paloma, Villar-Rodriguez, Esther, Oregi, Izaskun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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