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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE access Vol. 12; pp. 71808 - 71820
Main Authors:	Makarov, Anton, Perez-Herradon, Carlos, Franceschetto, Giacomo, Taddei, Marcio M., Osaba, Eneko, del Barrio Cabello, Paloma, Villar-Rodriguez, Esther, Oregi, Izaskun
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!