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QUBO formulation for aircraft load optimization

dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.contributor.authorGatti, Laura
dc.contributor.authorSotelo, Rafael
dc.contributor.authorOrihuela, Juan
dc.contributor.authorGibert, Diego
dc.contributor.authorD’ambrosio, Renzo
dc.contributor.authorFuidio, Federico
dc.date.accessioned2024-10-28T14:26:14Z
dc.date.available2024-10-28T14:26:14Z
dc.date.issued2024es
dc.identifier.urihttps://hdl.handle.net/20.500.12806/2652
dc.format.mimetypetext/plaines
dc.languageenges
dc.relation.ispartofQuantum Inf Process, vol. 23, n°355, 1-25es
dc.rightsEmbargadoes
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleQUBO formulation for aircraft load optimizationes
dc.typeArtículoes
dc.identifier.doihttps://doi.org/10.1007/s11128-024-04569-6es
dc.type.versionAceptadaes
dc.description.abstractenglishIn 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.keywordAircraft load optimizationes
dc.subject.keywordQuantum annealinges
dc.subject.keywordQUBOes
dc.subject.keywordQuantum computinges

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional