Solving the dial-a-ride problem using iterated local serach
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Trabalho de conclusão de curso |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/151017 |
Resumo: | The Dial-a-Ride Problem (DARP) is an NP-hard combinatorial problem. The DARP is a variant of the Vehicle Routing Problem (VRP), focusing in the transportation of passengers. It consists in, given a set of requests for pick-up and delivery requested by users and a set of homogeneous vehicle, optimize the assignment of requests to vehicles in order to serve all requests, providing optimal routes and respecting problem constraints such as route duration, vehicle capacity, passenger ride time, departure and arrival time windows. This work presents an approach to DARP using the Iterated Local Search (ILS) metaheuristic, which has been successfully applied in solving other variants of the VRP. The goal of this work was to evaluate the suitability of ILS in the context of DARP. For that, a comparison between obtained results and the ones found in the literature was presented and indicated promising results. |
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Medeiros, Pedro Gabriel de Souza VerezaBuriol, Luciana Salete2017-01-19T02:29:58Z2016http://hdl.handle.net/10183/151017001009869The Dial-a-Ride Problem (DARP) is an NP-hard combinatorial problem. The DARP is a variant of the Vehicle Routing Problem (VRP), focusing in the transportation of passengers. It consists in, given a set of requests for pick-up and delivery requested by users and a set of homogeneous vehicle, optimize the assignment of requests to vehicles in order to serve all requests, providing optimal routes and respecting problem constraints such as route duration, vehicle capacity, passenger ride time, departure and arrival time windows. This work presents an approach to DARP using the Iterated Local Search (ILS) metaheuristic, which has been successfully applied in solving other variants of the VRP. The goal of this work was to evaluate the suitability of ILS in the context of DARP. For that, a comparison between obtained results and the ones found in the literature was presented and indicated promising results.O Dial-a-Ride Problem (DARP) é um problema combinacional NP-difícil. O DARP é uma variante do Vehicle Routing Problem (VRP), focando no transporte de passageiros. O problema consiste em, dado um conjunto de requisições de coleta e entrega feitas por usuários e um conjunto de veículos idênticos, otimizar a atribuição de requisições a veículos com objetivo de atender todas as requisições, produzindo rotas ótimas e respeitando limitações impostas pelo problema, como capacidade máxima dos veículos, tempo máximo de rota de um passageiro e janelas de tempo no embarque e desembarque. Este trabalho apresenta uma abordagem para o DARP utilizando a metaheurística Iterated Local Search (ILS), que tem sido aplicada com sucesso na resolução de outras variantes do VRP. O objetivo desse trabalho foi avaliar a adequação do ILS ao contexto do DARP. Para isso, comparações entre resultados obtidos e resultados disponíveis na literatura foram realizadas e indicaram resultados promissores.application/pdfengInformatica : TransportesTransporte de passageiroMetaheuristicasDial-a-ride problemIterated local searchVehicle routingSolving the dial-a-ride problem using iterated local serachinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisUniversidade Federal do Rio Grande do SulInstituto de InformáticaPorto Alegre, BR-RS2016Ciência da Computação: Ênfase em Ciência da Computação: Bachareladograduaçãoinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL001009869.pdf001009869.pdfTexto completo (inglês)application/pdf316794http://www.lume.ufrgs.br/bitstream/10183/151017/1/001009869.pdf8d932a79cd72f7188ced8b0661eaba95MD51TEXT001009869.pdf.txt001009869.pdf.txtExtracted Texttext/plain64056http://www.lume.ufrgs.br/bitstream/10183/151017/2/001009869.pdf.txtbc460730112f136e196ed5ebddcc901fMD52THUMBNAIL001009869.pdf.jpg001009869.pdf.jpgGenerated Thumbnailimage/jpeg1068http://www.lume.ufrgs.br/bitstream/10183/151017/3/001009869.pdf.jpg0c39b5b861c6a011af3f72295f715b10MD5310183/1510172024-10-26 06:57:17.259412oai:www.lume.ufrgs.br:10183/151017Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-10-26T09:57:17Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Solving the dial-a-ride problem using iterated local serach |
title |
Solving the dial-a-ride problem using iterated local serach |
spellingShingle |
Solving the dial-a-ride problem using iterated local serach Medeiros, Pedro Gabriel de Souza Vereza Informatica : Transportes Transporte de passageiro Metaheuristicas Dial-a-ride problem Iterated local search Vehicle routing |
title_short |
Solving the dial-a-ride problem using iterated local serach |
title_full |
Solving the dial-a-ride problem using iterated local serach |
title_fullStr |
Solving the dial-a-ride problem using iterated local serach |
title_full_unstemmed |
Solving the dial-a-ride problem using iterated local serach |
title_sort |
Solving the dial-a-ride problem using iterated local serach |
author |
Medeiros, Pedro Gabriel de Souza Vereza |
author_facet |
Medeiros, Pedro Gabriel de Souza Vereza |
author_role |
author |
dc.contributor.author.fl_str_mv |
Medeiros, Pedro Gabriel de Souza Vereza |
dc.contributor.advisor1.fl_str_mv |
Buriol, Luciana Salete |
contributor_str_mv |
Buriol, Luciana Salete |
dc.subject.por.fl_str_mv |
Informatica : Transportes Transporte de passageiro Metaheuristicas |
topic |
Informatica : Transportes Transporte de passageiro Metaheuristicas Dial-a-ride problem Iterated local search Vehicle routing |
dc.subject.eng.fl_str_mv |
Dial-a-ride problem Iterated local search Vehicle routing |
description |
The Dial-a-Ride Problem (DARP) is an NP-hard combinatorial problem. The DARP is a variant of the Vehicle Routing Problem (VRP), focusing in the transportation of passengers. It consists in, given a set of requests for pick-up and delivery requested by users and a set of homogeneous vehicle, optimize the assignment of requests to vehicles in order to serve all requests, providing optimal routes and respecting problem constraints such as route duration, vehicle capacity, passenger ride time, departure and arrival time windows. This work presents an approach to DARP using the Iterated Local Search (ILS) metaheuristic, which has been successfully applied in solving other variants of the VRP. The goal of this work was to evaluate the suitability of ILS in the context of DARP. For that, a comparison between obtained results and the ones found in the literature was presented and indicated promising results. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2017-01-19T02:29:58Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/bachelorThesis |
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bachelorThesis |
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publishedVersion |
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http://hdl.handle.net/10183/151017 |
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001009869 |
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