Arc routing with trip-balancing and attractiveness measures : A waste collection case study
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/27972 |
Resumo: | This work focuses on a household (or door to door) waste collection problem in the Portuguese municipality of Seixal, which is modelled as a generalisation of a mixed capacitated arc routing problem (MCARP). The MCARP is known to be NP-hard. The proposed methodology uses: i) a GIS (geographic information system), for input/output and to reduce problem dimensions; ii) a matheuristic that iteratively solves a new hybrid model; and iii) two versions of a two-phase matheuristic. The latter pursues the generation of connected and compacted trips. During the first phase, called initial assignment, some links requiring service are assigned to vehicle services. In the second phase, the hybrid model finishes the assignment and generates a feasible set of trips. The quality of the generated solutions is assessed through the total time, as well as by some attractiveness measures. These measures evaluate the adequacy of the solutions for the real case-study, a crucial aspect for trips that need to be accepted by practitioners. With this purpose, a new attractiveness measure that introduces space dependent penalisation of overlaps, named weighted hull overlap, is also proposed. Computational results with 18 Seixal instances, with 265–1223 nodes and 492–2254 links, point to the good performance of the proposed. |
id |
RCAP_dba785efc89f2df05cc96632ef20268f |
---|---|
oai_identifier_str |
oai:www.repository.utl.pt:10400.5/27972 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Arc routing with trip-balancing and attractiveness measures : A waste collection case studyMixed Capacitated Arc RoutingMatheuristicsMixed Integer Linear ModelGISAttractiveness MeasureThis work focuses on a household (or door to door) waste collection problem in the Portuguese municipality of Seixal, which is modelled as a generalisation of a mixed capacitated arc routing problem (MCARP). The MCARP is known to be NP-hard. The proposed methodology uses: i) a GIS (geographic information system), for input/output and to reduce problem dimensions; ii) a matheuristic that iteratively solves a new hybrid model; and iii) two versions of a two-phase matheuristic. The latter pursues the generation of connected and compacted trips. During the first phase, called initial assignment, some links requiring service are assigned to vehicle services. In the second phase, the hybrid model finishes the assignment and generates a feasible set of trips. The quality of the generated solutions is assessed through the total time, as well as by some attractiveness measures. These measures evaluate the adequacy of the solutions for the real case-study, a crucial aspect for trips that need to be accepted by practitioners. With this purpose, a new attractiveness measure that introduces space dependent penalisation of overlaps, named weighted hull overlap, is also proposed. Computational results with 18 Seixal instances, with 265–1223 nodes and 492–2254 links, point to the good performance of the proposed.ElsevierRepositório da Universidade de LisboaJanela, JoãoMourão, M. CândidaPinto, Leonor S.2023-07-04T09:14:23Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/27972engJanela, João; M. Cândida Mourão and Leonor S. Pinto .(2022). “Arc routing with trip-balancing and attractiveness measures : A waste collection case study”. Computers & Operations Research, Volume 147, Nov. 2022: 105934. (Search PDF in 2023).0305-054810.1016/j.cor.2022.105934info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-09T01:30:27Zoai:www.repository.utl.pt:10400.5/27972Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:02:51.738465Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study |
title |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study |
spellingShingle |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study Janela, João Mixed Capacitated Arc Routing Matheuristics Mixed Integer Linear Model GIS Attractiveness Measure |
title_short |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study |
title_full |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study |
title_fullStr |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study |
title_full_unstemmed |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study |
title_sort |
Arc routing with trip-balancing and attractiveness measures : A waste collection case study |
author |
Janela, João |
author_facet |
Janela, João Mourão, M. Cândida Pinto, Leonor S. |
author_role |
author |
author2 |
Mourão, M. Cândida Pinto, Leonor S. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Janela, João Mourão, M. Cândida Pinto, Leonor S. |
dc.subject.por.fl_str_mv |
Mixed Capacitated Arc Routing Matheuristics Mixed Integer Linear Model GIS Attractiveness Measure |
topic |
Mixed Capacitated Arc Routing Matheuristics Mixed Integer Linear Model GIS Attractiveness Measure |
description |
This work focuses on a household (or door to door) waste collection problem in the Portuguese municipality of Seixal, which is modelled as a generalisation of a mixed capacitated arc routing problem (MCARP). The MCARP is known to be NP-hard. The proposed methodology uses: i) a GIS (geographic information system), for input/output and to reduce problem dimensions; ii) a matheuristic that iteratively solves a new hybrid model; and iii) two versions of a two-phase matheuristic. The latter pursues the generation of connected and compacted trips. During the first phase, called initial assignment, some links requiring service are assigned to vehicle services. In the second phase, the hybrid model finishes the assignment and generates a feasible set of trips. The quality of the generated solutions is assessed through the total time, as well as by some attractiveness measures. These measures evaluate the adequacy of the solutions for the real case-study, a crucial aspect for trips that need to be accepted by practitioners. With this purpose, a new attractiveness measure that introduces space dependent penalisation of overlaps, named weighted hull overlap, is also proposed. Computational results with 18 Seixal instances, with 265–1223 nodes and 492–2254 links, point to the good performance of the proposed. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z 2023-07-04T09:14:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/27972 |
url |
http://hdl.handle.net/10400.5/27972 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Janela, João; M. Cândida Mourão and Leonor S. Pinto .(2022). “Arc routing with trip-balancing and attractiveness measures : A waste collection case study”. Computers & Operations Research, Volume 147, Nov. 2022: 105934. (Search PDF in 2023). 0305-0548 10.1016/j.cor.2022.105934 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799131694167490560 |