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Time-Dependency of Guided Local Search to Solve the Capacitated Vehicle Routing Problem with Time Windows

dc.contributor.authorSilva, Adriano S.
dc.contributor.authorLima, José
dc.contributor.authorSilva, Adrián
dc.contributor.authorGomes, Helder
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2024-10-07T15:35:27Z
dc.date.available2024-10-07T15:35:27Z
dc.date.issued2024
dc.description.abstractResearch have been driven by the increased demand for delivery and pick-up services to develop new formulations and algorithms for solving Vehicle Routing Problems (VRP). The main objective is to create algorithms that can identify paths considering execution time in real-world scenarios. This study focused on using the Guided Local Search (GLS) metaheuristic available in OR-Tools to solve the Capacitated Vehicle Routing Problem with Time Windows using the Solomons instances. The execution time was used as a stop criterion, with short runs ranging from 1 to 10 s and a long run of 360 s for comparison. The results showed that the GLS metaheuristic from OR-Tools is applicable for achieving high performance in finding the shortest path and optimizing routes within constrained execution times. It outperformed the best-known solutions from the literature in longer execution times and even provided a close-to-optimal solution within 10 s. These findings suggest the potential application of this tool for dynamic VRP scenarios that require faster algorithms.pt_PT
dc.description.sponsorshipThis work has been supported by FCT - Funda¸c˜ao para a Ciˆencia e Tecnologia within the R&D Units Project Scope: UIDB/05757/2020, UIDP/05757/2020, UIDB/00690/2020, UIDB/50 020/2020, and UIDB/00319/2020. Adriano Silva was supported by Doctoral Grant SFRH/BD/151346/2021 financed by the Portuguese Foundation for Science and Technology (FCT), and with funds from NORTE 2020, under MIT Portugal Program. The authors are grateful to Sociedade Ponto Verde for the finantial support through the project “A digitalização como ferramenta para melhorar a sustentabilidade do processo de recolha seletiva”.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, Adriano S.; Lima, José; Silva, Adrián M. T.; Gomes, Helder T.; Pereira, Ana I. (2024). Time-Dependency of Guided Local Search to Solve the Capacitated Vehicle Routing Problem with Time Windows. In 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023). Cham: Springer Nature, Vol. 1, p. 93–108. ISBN 978-3-031-53024-1.pt_PT
dc.identifier.doi10.1007/978-3-031-53025-8_7pt_PT
dc.identifier.isbn978-3-031-53024-1
dc.identifier.isbn978-3-031-53025-8
dc.identifier.urihttp://hdl.handle.net/10198/30332
dc.language.isoengpt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationMountain Research Center
dc.relationLaboratory of Separation and Reaction Engineering - Laboratory of Catalysis and Materials
dc.relationALGORITMI Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVVRPpt_PT
dc.subjectMetaheuristicpt_PT
dc.subjectScheduling Problemspt_PT
dc.titleTime-Dependency of Guided Local Search to Solve the Capacitated Vehicle Routing Problem with Time Windowspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleMountain Research Center
oaire.awardTitleLaboratory of Separation and Reaction Engineering - Laboratory of Catalysis and Materials
oaire.awardTitleALGORITMI Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
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oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50020%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F151346%2F2021/PT
oaire.citation.endPage108pt_PT
oaire.citation.startPage93pt_PT
oaire.citation.title3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSilva
person.familyNameLima
person.familyNameGomes
person.familyNamePereira
person.givenNameAdriano S.
person.givenNameJosé
person.givenNameHelder
person.givenNameAna I.
person.identifierR-000-8GD
person.identifier.ciencia-id3E14-5049-B09D
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id6218-1E19-13EE
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-6795-2335
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0001-6898-2408
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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