QUBO formulation for aircraft load optimization

Gatti, Laura; Sotelo, Rafael; Orihuela, Juan; Gibert, Diego; D’ambrosio, Renzo; Fuidio, Federico

dc.rights.license	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.contributor.author	Gatti, Laura
dc.contributor.author	Sotelo, Rafael
dc.contributor.author	Orihuela, Juan
dc.contributor.author	Gibert, Diego
dc.contributor.author	D’ambrosio, Renzo
dc.contributor.author	Fuidio, Federico
dc.date.accessioned	2024-10-28T14:26:14Z
dc.date.available	2024-10-28T14:26:14Z
dc.date.issued	2024	es
dc.identifier.uri	https://hdl.handle.net/20.500.12806/2652
dc.format.mimetype	text/plain	es
dc.language	eng	es
dc.relation.ispartof	Quantum Inf Process, vol. 23, n°355, 1-25	es
dc.rights	Embargado	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	QUBO formulation for aircraft load optimization	es
dc.type	Artículo	es
dc.identifier.doi	https://doi.org/10.1007/s11128-024-04569-6	es
dc.type.version	Aceptada	es
dc.description.abstractenglish	In this article, we tackle the aircraft load optimization problem using classical optimization algorithms and optimization algorithms with QUBO (quadratic unconstrained binary optimization) formulation to run on quantum annealers. The problem is realistic based on plans of a certain aircraft model, the Airbus A330 200F, and can be adapted to other models from other manufacturers. We maximize a characteristic of the combination of containers (unit load device, ULD) to be transported, be it weight, volume, profit, or another, while complying with necessary parameters related to the flight such as the balance of the center of gravity as well as stress in the structure. Finally, examples of the results of different runs on QUBO in the D-Wave simulator are presented.	es
dc.subject.keyword	Aircraft load optimization	es
dc.subject.keyword	Quantum annealing	es
dc.subject.keyword	QUBO	es
dc.subject.keyword	Quantum computing	es

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