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dc.contributor.authorAuthorDurán, Claudia
dc.contributor.authorAuthorCarrasco, Raúl
dc.contributor.authorAuthorSoto, Ismael
dc.contributor.authorAuthorGaleas, Ignacio
dc.contributor.authorAuthorAzócar, José
dc.contributor.authorAuthorPeña, Victoria
dc.contributor.authorAuthorLara-Salazar, Sebastián
dc.contributor.authorAuthorGutiérrez, Sebastián
dc.date.accessionedDate Accessioned2024-09-03T19:17:38Z
dc.date.availableDate Available2024-09-03T19:17:38Z
dc.date.issuedDate Issued2023
dc.identifier.citationReferencia BibliográficaComplex and Intelligent Systems, 9(6), 20 p.
dc.identifier.issnISSN2199-4536
dc.identifier.uriURIhttp://repositorio.udla.cl/xmlui/handle/udla/1334
dc.identifier.uriURIhttps://link.springer.com/journal/40747
dc.description.abstractAbstractIn the field of data processing and IoT communication it is possible to develop more robust solutions by combining quantum algorithms with metaheuristics. Said solutions can be applied in the industry and be measured using metrics associated with complexity, efficiency, processing, and accuracy. An extensive bibliographical review is carried out to determine which is the most efficient and effective hybrid algorithm that can be applied to a real experimental case, which aims to improve communication to reduce occupational risks. Criteria, metrics, and experimental results were obtained, in which it is shown that the quantum genetic algorithm is better than the genetic algorithm. A detailed discussion on the objective function, the convergence to the global optimum, and the need to improve the obtained solutions is given. The conclusions raise new aspects that need investigation.
dc.format.extentdc.format.extent20 páginas
dc.format.extentdc.format.extent4.013Mb
dc.format.mimetypedc.format.mimetypePDF
dc.language.isoLanguage ISOeng
dc.publisherPublisherSpringer International Publishing
dc.sourceSourcesComplex and Intelligent Systems
dc.subjectSubjectQuantum genetic algorithms
dc.subjectSubjectCommunications
dc.subject.lcshdc.subject.lcshAplicaciones industriales
dc.titleTitleQuantum algorithms: applications, criteria and metrics
dc.typeDocument TypeArtículo
dc.udla.catalogadordc.udla.catalogadorCBM
dc.udla.indexdc.udla.indexWoS
dc.udla.indexdc.udla.indexScopus
dc.udla.indexdc.udla.indexScience Citation Index Expanded
dc.udla.indexdc.udla.indexDOAJ
dc.udla.indexdc.udla.indexAdvanced Technologies & Aerospace Database
dc.udla.indexdc.udla.indexINSPEC
dc.identifier.doidc.identifier.doi10.1007/s40747-023-01073-9
dc.facultaddc.facultadFacultad de Ingeniería y Negocios


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