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Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data

dc.contributor.authorSánchez Ramos, Luciano 
dc.contributor.authorLuque Rodríguez, Pablo 
dc.contributor.authorÁlvarez Mántaras, Daniel 
dc.date.accessioned2022-03-08T08:31:27Z
dc.date.available2022-03-08T08:31:27Z
dc.date.issued2021
dc.identifier.citationEngineering Applications of Artificial Intelligence, 105 (2021); doi:10.1016/j.engappai.2021.104405
dc.identifier.issn0952-1976
dc.identifier.urihttp://hdl.handle.net/10651/62056
dc.description.sponsorshipThis work has been partially supported by the Ministry of Economy, Industry and Competitiveness (‘‘Ministerio de Economía, Industria y Competitividad’’) from Spain/FEDER under grants TIN2017-84804-R and PID2020-112726RB-I00 and by the Regional Ministry of the Principality of Asturias (‘‘Consejería de Empleo, Industria y Turismo del Principado de Asturias’’), Spain under grant GRUPIN18-226.spa
dc.language.isoengspa
dc.relation.ispartofEngineering Applications of Artificial Intelligence, 105spa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights© 2021 The authors. Published by Elsevier Ltd.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAssessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational dataspa
dc.typejournal articlespa
dc.identifier.doi10.1016/j.engappai.2021.104405
dc.local.notesOA ATUO21
dc.relation.projectIDMINECO/FEDER/TIN2017-84804-Rspa
dc.relation.projectIDMINECO/FEDER/PID2020-112726RB-I00spa
dc.relation.projectIDGRUPIN18-226spa
dc.relation.publisherversionhttps://doi.org/10.1016/j.engappai.2021.104405spa
dc.rights.accessRightsopen accessspa
dc.type.hasVersionVoR


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