Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data
Publication date:
2021
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Citación:
Engineering Applications of Artificial Intelligence, 105 (2021); doi:10.1016/j.engappai.2021.104405
ISSN:
Local Notes:
OA ATUO21
Patrocinado por:
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.
Id. Proyecto:
MINECO/FEDER/TIN2017-84804-R
MINECO/FEDER/PID2020-112726RB-I00
GRUPIN18-226
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