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dc.contributor.author | Castaneda, Juliana | es_ES |
dc.contributor.author | Ghorbani, Elnaz | es_ES |
dc.contributor.author | Ammouriova, Majsa | es_ES |
dc.contributor.author | Panadero, Javier | es_ES |
dc.contributor.author | Juan, Angel A. | es_ES |
dc.date.accessioned | 2023-11-08T19:01:47Z | |
dc.date.available | 2023-11-08T19:01:47Z | |
dc.date.issued | 2022-09 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/199465 | |
dc.description.abstract | [EN] Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real-life transportation and logistics activities. Generally, the analysis of complex systems in these non-deterministic environments is approached with simulation techniques. However, simulation is not an optimization tool. Hence, it must be combined with optimization methods when our goal is to: (i) minimize operating costs while guaranteeing a given quality of service; or (ii) maximize system performance using limited resources. When solving NP-hard optimization problems, the use of metaheuristics allows us to deal with large-scale instances in reasonable computation times. By adding a simulation layer to the metaheuristics, the methodology becomes a simheuristic, which allows the optimization element to solve scenarios under uncertainty. Methods: This paper reviews the indexed documents in Elsevier Scopus database of both initial as well as recent applications of simheuristics in the logistics and transportation field. The paper also discusses open research lines in this knowledge area. Results: The simheuristics approaches to solving NP-hard and large-scale combinatorial optimization problems under uncertainty scenarios are discussed, as they frequently appear in real-life applications in logistics and transportation activities. Conclusions: The way in which the different simheuristic components interact puts a special emphasis in the different stages that can contribute to make the approach more efficient from a computational perspective. There are several lines of research that are still open in the field of simheuristics. | es_ES |
dc.description.sponsorship | This work has been partially funded by the Spanish Ministry of Science (PID2019-111100RBC21-C22/AEI/10.13039/501100011033), the Barcelona City Council and Fundacio "la Caixa" under the framework of the Barcelona Science Plan 2020-2023 (grant 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 | Logistics | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Simheuristics | es_ES |
dc.subject | Transportation | es_ES |
dc.subject | Logistics | es_ES |
dc.subject | Optimization | es_ES |
dc.subject | Uncertainty | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/logistics6030042 | 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/ //21S09355-001C//Optimizing Carsharing and Ridesharing Mobility in Smart Sustainable Cities/ | 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/Generalitat Valenciana//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 | Castaneda, J.; Ghorbani, E.; Ammouriova, M.; Panadero, J.; Juan, AA. (2022). Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends. Logistics. 6(3):1-15. https://doi.org/10.3390/logistics6030042 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/logistics6030042 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 15 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 6 | es_ES |
dc.description.issue | 3 | es_ES |
dc.identifier.eissn | 2305-6290 | es_ES |
dc.relation.pasarela | S\501035 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | AJUNTAMENT DE BARCELONA | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |