Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW
Resumen:
This paper proposes new applications of statistical and data mining techniques for the assignment problem in the Multi-Depot Vehicle Routing Problem with Time Windows (MDVRPTW). Given the intrinsic difficulty of this problem class, approximation methods of the type "cluster first, route second" (two step approaches) seem to be the most promising for practical size problems. After describing five assignment algorithms designed specially for assignment of customers to depots (the cluster phase), the adapted clustering algorithms for the assignment problem are introduced and a preliminary computational study of their performance is presented. Concluding as expected, that the they can be adapted to solve this type problem and many times give very good results (in terms of the routing results), but are still far from some of the other algorithms when it comes to execution times.
| 2004 | |
|
Multi-depot Vehicle Routing Problem Clustering Assignment Time Windows |
|
| Universidad de la República | |
| COLIBRI | |
| http://hdl.handle.net/20.500.12008/3511 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
| _version_ | 1807522944047382528 |
|---|---|
| author | Viera, Omar |
| author2 | Tansini, Libertad |
| author2_role | author |
| author_facet | Viera, Omar Tansini, Libertad |
| author_role | author |
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| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 MD5 |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Viera, Omar Tansini, Libertad |
| dc.date.accessioned.none.fl_str_mv | 2014-12-02T16:07:13Z |
| dc.date.available.none.fl_str_mv | 2014-12-02T16:07:13Z |
| dc.date.issued.es.fl_str_mv | 2004 |
| dc.date.submitted.es.fl_str_mv | 20141202 |
| dc.description.abstract.none.fl_txt_mv | This paper proposes new applications of statistical and data mining techniques for the assignment problem in the Multi-Depot Vehicle Routing Problem with Time Windows (MDVRPTW). Given the intrinsic difficulty of this problem class, approximation methods of the type "cluster first, route second" (two step approaches) seem to be the most promising for practical size problems. After describing five assignment algorithms designed specially for assignment of customers to depots (the cluster phase), the adapted clustering algorithms for the assignment problem are introduced and a preliminary computational study of their performance is presented. Concluding as expected, that the they can be adapted to solve this type problem and many times give very good results (in terms of the routing results), but are still far from some of the other algorithms when it comes to execution times. |
| dc.format.extent.es.fl_str_mv | 32 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | VIERA, O., TANSINI, L. "Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW". Reportes Técnicos 04-13. UR. FI – INCO, 2004. |
| dc.identifier.issn.es.fl_str_mv | 0797-6410 |
| dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/20.500.12008/3511 |
| dc.language.iso.none.fl_str_mv | in |
| dc.publisher.es.fl_str_mv | UR. FI – INCO. |
| dc.relation.ispartof.es.fl_str_mv | Reportes Técnicos 04-13 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Multi-depot Vehicle Routing Problem Clustering Assignment Time Windows |
| dc.title.none.fl_str_mv | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW |
| dc.type.es.fl_str_mv | Reporte técnico |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/report |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | This paper proposes new applications of statistical and data mining techniques for the assignment problem in the Multi-Depot Vehicle Routing Problem with Time Windows (MDVRPTW). Given the intrinsic difficulty of this problem class, approximation methods of the type "cluster first, route second" (two step approaches) seem to be the most promising for practical size problems. After describing five assignment algorithms designed specially for assignment of customers to depots (the cluster phase), the adapted clustering algorithms for the assignment problem are introduced and a preliminary computational study of their performance is presented. Concluding as expected, that the they can be adapted to solve this type problem and many times give very good results (in terms of the routing results), but are still far from some of the other algorithms when it comes to execution times. |
| eu_rights_str_mv | openAccess |
| format | report |
| id | COLIBRI_fc0fe081d92b24b354d8c06d5a2d6a97 |
| identifier_str_mv | VIERA, O., TANSINI, L. "Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW". Reportes Técnicos 04-13. UR. FI – INCO, 2004. 0797-6410 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language_invalid_str_mv | in |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/3511 |
| publishDate | 2004 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
| spelling | 2014-12-02T16:07:13Z2014-12-02T16:07:13Z200420141202VIERA, O., TANSINI, L. "Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW". Reportes Técnicos 04-13. UR. FI – INCO, 2004.0797-6410http://hdl.handle.net/20.500.12008/3511This paper proposes new applications of statistical and data mining techniques for the assignment problem in the Multi-Depot Vehicle Routing Problem with Time Windows (MDVRPTW). Given the intrinsic difficulty of this problem class, approximation methods of the type "cluster first, route second" (two step approaches) seem to be the most promising for practical size problems. After describing five assignment algorithms designed specially for assignment of customers to depots (the cluster phase), the adapted clustering algorithms for the assignment problem are introduced and a preliminary computational study of their performance is presented. Concluding as expected, that the they can be adapted to solve this type problem and many times give very good results (in terms of the routing results), but are still far from some of the other algorithms when it comes to execution times.Made available in DSpace on 2014-12-02T16:07:13Z (GMT). No. of bitstreams: 5 TR0413.pdf: 286618 bytes, checksum: d2b13ea1bd32b118d0030cb4d589efb9 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 200432 p.application/pdfinUR. FI – INCO.Reportes Técnicos 04-13Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)Multi-depot Vehicle Routing ProblemClusteringAssignmentTime WindowsAdapted Clustering Algorithms for the Assignment Problem in the MDVRPTWReporte técnicoinfo:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaViera, OmarTansini, 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- Universidad de la Repúblicafalse |
| spellingShingle | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW Viera, Omar Multi-depot Vehicle Routing Problem Clustering Assignment Time Windows |
| status_str | publishedVersion |
| title | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW |
| title_full | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW |
| title_fullStr | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW |
| title_full_unstemmed | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW |
| title_short | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW |
| title_sort | Adapted Clustering Algorithms for the Assignment Problem in the MDVRPTW |
| topic | Multi-depot Vehicle Routing Problem Clustering Assignment Time Windows |
| url | http://hdl.handle.net/20.500.12008/3511 |
