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dc.contributor.authorPérez Carabaza, Sara 
dc.contributor.authorGálvez Tomida, Akemi 
dc.contributor.authorIglesias Prieto, Andrés 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-04-29T15:06:56Z
dc.date.available2025-04-29T15:06:56Z
dc.date.issued2024
dc.identifier.isbn979-8-3503-0836-5
dc.identifier.isbn979-8-3503-0837-2
dc.identifier.otherPID2021-127073OBI00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/36303
dc.description.abstractThis paper introduces a novel approach to solving the Multi-Depot Multiple Traveling Salesman Problem (MDMTSP), an extension of the classic Traveling Salesman Problem (TSP) characterized by multiple salesmen operating from various depots. The MDMTSP is particularly relevant in practical scenarios such as logistics and distribution, where efficient routing is crucial. Our approach integrates the Ant Colony System (ACS) with dynamically updated Voronoi regions, offering an innovative method to efficiently organize the assign-ment and routing of salesmen. This method not only optimizes the salesmen's routes but also ensures an efficient distribution of workload among them, leading to overall reduced travel distances. Experimental results demonstrate the effectiveness of our approach, highlighting significant improvements in route optimization compared to other existing methods.es_ES
dc.description.sponsorshipThis research work has been supported by the project PID2021-127073OBI00 of the MCIN/AEI/10.13039/501100011033/FEDER,EU, Spanish Ministry of Science and Innovation.es_ES
dc.format.extent8 p.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers, Inc.es_ES
dc.rights© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.es_ES
dc.sourceIEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, 1721-1728es_ES
dc.subject.otherMultiple traveling salesman problemes_ES
dc.subject.otherAnt colony optimizationes_ES
dc.subject.otherVoronoi regionses_ES
dc.titleAnt colony based dynamic voronoi method for the multi-depot multiple TSPes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttps://doi.org/10.1109/CEC60901.2024.10612048es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127073OB-I00/ES/INTELIGENCIA ARTIFICIAL Y EVOLUTIVA PARA GRAFICOS Y ANIMACION POR COMPUTADOR, PROCESAMIENTO DE IMAGENES, MEDICINA Y ROBOTICA/es_ES
dc.identifier.DOI10.1109/CEC60901.2024.10612048
dc.type.versionacceptedVersiones_ES


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