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Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments

dc.contributor.authorGarcía González, Enol 
dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.contributor.authorSánchez Ramos, Luciano 
dc.contributor.authorSedano, Javier
dc.date.accessioned2024-02-05T12:10:06Z
dc.date.available2024-02-05T12:10:06Z
dc.date.issued2023
dc.identifier.citationGarcía González, E., R. Villar, J., Chira, C., de la Cal, E., Sánchez, L., Sedano, J. (2023). Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments. En García Bringas, P., et al. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). SOCO 2023. Lecture Notes in Networks and Systems, vol 750. Cham : Springer
dc.identifier.isbn978-3-031-42535-6
dc.identifier.urihttps://hdl.handle.net/10651/71160
dc.descriptionInternational Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) (18th. 2023. Salamanca, Sapin)spa
dc.description.sponsorshipThis research has been funded by the Spanish Ministry of Economics and Industry, grant PID2020-112726RB-I00, by CDTI projects CER-20211003 and CER-20211022, by Missions Science and Innovation project MIG-20211008 (INMERBOT), and by ICE (Junta de Castilla y León) under project CCTT3/20/BU/0003. Also, by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994.
dc.language.isoengspa
dc.publisherSpringerspa
dc.relation.ispartof18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)spa
dc.rights© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.rightsCC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleMulti-objective Optimization for Multi-Robot Path Planning on Warehouse Environmentsspa
dc.typebook partspa
dc.identifier.doi10.1007/978-3-031-42536-3_27
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112726RB-I00/ES/INTELIGENCIA COMPUTACIONAL PARA LA MITIGACION DE EMISIONES: NUEVAS METODOLOGIAS DE APRENDIZAJE CON DATOS INCOMPLETOS/
dc.relation.projectIDCER-20211003
dc.relation.projectIDCER-20211022
dc.relation.projectIDMIG-20211008
dc.relation.projectIDSV-PA-21-AYUD/2021/50994
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-031-42536-3_27spa
dc.rights.accessRightsopen acces
dc.type.hasVersionAM


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