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

Sánchez Ramos, Luciano; Luque Rodríguez, Pablo; Álvarez Mántaras, Daniel

doi:10.1016/j.engappai.2021.104405

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

dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Luque Rodríguez, Pablo
dc.contributor.author	Álvarez Mántaras, Daniel
dc.date.accessioned	2022-03-08T08:31:27Z
dc.date.available	2022-03-08T08:31:27Z
dc.date.issued	2021
dc.identifier.citation	Engineering Applications of Artificial Intelligence, 105 (2021); doi:10.1016/j.engappai.2021.104405
dc.identifier.issn	0952-1976
dc.identifier.uri	http://hdl.handle.net/10651/62056
dc.description.sponsorship	This 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.iso	eng	spa
dc.relation.ispartof	Engineering Applications of Artificial Intelligence, 105	spa
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights	© 2021 The authors. Published by Elsevier Ltd.
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data	spa
dc.type	journal article	spa
dc.identifier.doi	10.1016/j.engappai.2021.104405
dc.local.notes	OA ATUO21
dc.relation.projectID	MINECO/FEDER/TIN2017-84804-R	spa
dc.relation.projectID	MINECO/FEDER/PID2020-112726RB-I00	spa
dc.relation.projectID	GRUPIN18-226	spa
dc.relation.publisherversion	https://doi.org/10.1016/j.engappai.2021.104405	spa
dc.rights.accessRights	open access	spa
dc.type.hasVersion	VoR

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