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Unveiling Key Parameters: Time Windows and Travel Times in Capacitated Waste Collection

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dc.contributor.authorSilva, Adriano S.
dc.contributor.authorLima, José
dc.contributor.authorSilva, Adrián
dc.contributor.authorGomes, Helder
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2025-02-12T16:54:42Z
dc.date.available2025-02-12T16:54:42Z
dc.date.issued2024
dc.description.abstractNumerous studies in waste management propose solutions to the Waste Collection Problem, often focusing on constraints such as time windows and truck capacity. Travel times between points play a vital role in optimizing waste collection. However, the methods for determin- AQ1 ing them are frequently omitted. Another parameter that has a great influence on waste collection is the time window. Here, the impact of time windows and travel times on the capacitated waste collection problem with time windows solution was assessed for collecting three waste types. Surprisingly, travel times were found to have minimal influence on route optimization, while time windows significantly affected the algorithm’s ability to identify the most efficient collection route. Addressing AQ2 these considerations is crucial for practical application and improving the performance of waste collection algorithms in real-world contexts.pt_PT
dc.description.sponsorshipThis work was supported by national funds through FCT/MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (DOI: 10.54499/UIDB/05757/2020) and UIDP/05757/2020 (DOI: 10.54499/UIDB/05757/2020); CIMO, UIDB/00690/2020 (DOI: 10.54499/UIDB/00690/2020) and UIDP/00690/2020 (DOI: 10.54499/UIDP/00690/2020); SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020), LSRE-LCM, UIDB/50020/2020 (DOI: 10.54499/UIDB/50020/2020) and UIDP/50020/2020 (DOI: 10.54499/UIDP/50020/2020); and ALiCE, LA/P/0045/2020 (DOI: 10.54499/LA/P/0045/2020). 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 financial 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, A. S.; Lima, J.; Silva, A. M. T.; Gomes, H. T.; Pereira, A. I. (2024). Unveiling Key Parameters: Time Windows and Travel Times in Capacitated Waste Collection. In 24th International Conference on Computational Science and Its Applications (ICCSA 2024). Cham: Springer Nature, p. 355-369. ISBN 978-3-031-65222-6.pt_PT
dc.identifier.doi10.1007/978-3-031-65223-3_24pt_PT
dc.identifier.isbn978-3-031-65222-6
dc.identifier.urihttp://hdl.handle.net/10198/31184
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 - UIDB/00690/2020
dc.relationMountain Research Center - UIDP/00690/2020
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.relationLaboratory of Separation and Reaction Engineering - Laboratory of Catalysis and Materials
dc.relationLaboratory of Separation and Reaction Engineering - Laboratory of Catalysis and Materials
dc.relationALICE - Associate Laboratory in Chemical Engineering
dc.relationOptimization of municipal solid waste management systems towards sustainability - SFRH/BD/151346/2021
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVehile routing problempt_PT
dc.subjectMetaheuristicspt_PT
dc.subjectRecyclingpt_PT
dc.titleUnveiling Key Parameters: Time Windows and Travel Times in Capacitated Waste Collectionpt_PT
dc.typeconference paper
dspace.entity.typePublication
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oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
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oaire.awardTitleMountain Research Center - UIDP/00690/2020
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
oaire.awardTitleLaboratory of Separation and Reaction Engineering - Laboratory of Catalysis and Materials
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oaire.citation.endPage369pt_PT
oaire.citation.startPage355pt_PT
oaire.citation.title24th International Conference on Computational Science and Its Applications (ICCSA 2024)pt_PT
oaire.citation.volume14816pt_PT
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