Mostrar el registro sencillo del ítem
dc.contributor.author | Ammouriova, Majsa | es_ES |
dc.contributor.author | Herrera, Erika M. | es_ES |
dc.contributor.author | Neroni, Mattia | es_ES |
dc.contributor.author | Juan, Angel A. | es_ES |
dc.contributor.author | Faulin, Javier | es_ES |
dc.date.accessioned | 2024-04-17T18:14:06Z | |
dc.date.available | 2024-04-17T18:14:06Z | |
dc.date.issued | 2023-01 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/203550 | |
dc.description.abstract | [EN] Many real-life applications of the vehicle routing problem (VRP) occur in scenarios subject to uncertainty or dynamic conditions. Thus, for instance, traveling times or customers' demands might be better modeled as random variables than as deterministic values. Likewise, traffic conditions could evolve over time, synchronization issues should need to be considered, or a real-time re-optimization of the routing plan can be required as new data become available in a highly dynamic environment. Clearly, different solving approaches are needed to efficiently cope with such a diversity of scenarios. After providing an overview of current trends in VRPs, this paper reviews a set of heuristic-based algorithms that have been designed and employed to solve VRPs with the aforementioned properties. These include simheuristics for stochastic VRPs, learnheuristics and discrete-event heuristics for dynamic VRPs, and agile optimization heuristics for VRPs with real-time requirements. | es_ES |
dc.description.sponsorship | This work was partially funded by the Spanish Ministry of Science, Innovation, and Universities (PID2019-111100RB-C21-C22/AEI/10.13039/501100011033), the SEPIE Erasmus+ Program (2019-I-ES01-KA103-062602), the Barcelona City Council and Fundacio "la Caixa" under the framework of the Barcelona Science Plan 2020-2023 (21S09355-001), and the Generalitat Valenciana (PROMETEO/2021/065). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Applied Sciences | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Vehicle routing problem | es_ES |
dc.subject | Heuristics | es_ES |
dc.subject | Uncertainty | es_ES |
dc.subject | Dynamic environments | es_ES |
dc.subject | Real-time optimization | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Solving Vehicle Routing Problems under Uncertainty and in Dynamic Scenarios: From Simheuristics to Agile Optimization | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/app13010101 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C21/ES/ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C22/ES/MODELOS SOSTENIBLES Y ANALITICA DEL TRASPORTE EN CIUDADES INTELIGENTES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC//2019-I-ES01-KA103-062602/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona//21S09355-001/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CIUCSD//PROMETEO%2F2021%2F065//"Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT) / | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi | es_ES |
dc.description.bibliographicCitation | Ammouriova, M.; Herrera, EM.; Neroni, M.; Juan, AA.; Faulin, J. (2023). Solving Vehicle Routing Problems under Uncertainty and in Dynamic Scenarios: From Simheuristics to Agile Optimization. Applied Sciences. 13(1). https://doi.org/10.3390/app13010101 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/app13010101 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 13 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 2076-3417 | es_ES |
dc.relation.pasarela | S\509498 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona | es_ES |
dc.contributor.funder | Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana | es_ES |