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Execution time experiments to solve capacitated vehicle routing problem

dc.contributor.authorSilva, Adriano S.
dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.contributor.authorSilva, Adrián
dc.contributor.authorGomes, Helder
dc.date.accessioned2024-02-20T14:39:53Z
dc.date.available2024-02-20T14:39:53Z
dc.date.issued2023
dc.description.abstractStudies dealing with route optimization have received considerable attention in recent years due to the increased demand for transportation services. For decades, scholars have developed robust algorithms designed to solve various Vehicle Routing Problems (VRP). In most cases, the focus is to present an algorithm that can overcome the shortest distances reported in other studies. On the other hand, execution time is also an important parameter that may limit the feasibility of the utilization in real scenarios for some applications. For this reason, in this work, a Guided Local Search (GLS) metaheuristic available in open-source OR-Tools will be tested to solve the Augerat instances of Capacitated Vehicle Routing Problems (CVRP). The stop criterion used here is the execution time, going from 1 s (standard) to 10 s, with a last run of 360 s. The numerical results demonstrate that increasing the execution time returns significant improvement in distance optimization. However, the optimization found considering high execution times can be expensive in terms of time, and not feasible for situations demanding faster algorithms, such as in Dynamic Vehicle Routing Problems (DVRP). Nonetheless, the GLS has proven to be a versatile algorithm for use where distance optimization is the main priority (high execution times) and in cases where faster algorithms are required (low execution times).pt_PT
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/05757/2020, UIDP/05757/2020, UIDB/00690/2020, UIDB/50020/2020, 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, Adriano S.; Lima, José; Pereira, Ana I.; Silva, Adrián; Gomes, Helder (2023). Execution time experiments to solve capacitated vehicle routing problem. In 23rd International Conference on Computational Science and Its Applications (ICCSA). ISSN 0302-9743. 14111, p. 273-289pt_PT
dc.identifier.doi10.1007/978-3-031-37126-4_19pt_PT
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10198/29558
dc.language.isoengpt_PT
dc.peerreviewedyespt_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.relationOptimization of municipal solid waste management systems towards sustainability
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOpen-sourcept_PT
dc.subjectRoute planningpt_PT
dc.subjectVersatile algorithmpt_PT
dc.titleExecution time experiments to solve capacitated vehicle routing problempt_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.awardTitleOptimization of municipal solid waste management systems towards sustainability
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%2F00319%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F151346%2F2021/PT
oaire.citation.endPage289pt_PT
oaire.citation.startPage273pt_PT
oaire.citation.title23rd International Conference on Computational Science and Its Applications (ICCSA)pt_PT
oaire.citation.volume14111pt_PT
oaire.fundingStream6817 - DCRRNI ID
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oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
person.familyNameSilva
person.familyNameLima
person.familyNamePereira
person.familyNameGomes
person.givenNameAdriano S.
person.givenNameJosé
person.givenNameAna I.
person.givenNameHelder
person.identifierR-000-8GD
person.identifier.ciencia-id3E14-5049-B09D
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6218-1E19-13EE
person.identifier.orcid0000-0002-6795-2335
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-6898-2408
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
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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
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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