dc.contributorGoldbarg, Marco Cesar
dc.contributor
dc.contributor
dc.contributorGoldbarg, Elizabeth Ferreira Gouvea
dc.contributor
dc.contributorMaia, Silvia Maria Diniz Monteiro
dc.contributor
dc.contributorSouza, Thatiana Cunha Navarro de
dc.contributor
dc.creatorMedeiros, Ygor Alcântara de
dc.date.accessioned2019-09-04T23:23:17Z
dc.date.accessioned2022-10-06T13:19:19Z
dc.date.available2019-09-04T23:23:17Z
dc.date.available2022-10-06T13:19:19Z
dc.date.created2019-09-04T23:23:17Z
dc.date.issued2019-07-01
dc.identifierMEDEIROS, Ygor Alcântara de. Caixeiro viajante com coleta de prêmios e passageiros. 2019. 93f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2019.
dc.identifierhttps://repositorio.ufrn.br/jspui/handle/123456789/27640
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3967044
dc.description.abstractThe Prize Collect Traveling Salesman Problem with Ridesharing is a model that merge elements of the classic problem PCTSP with ridesharing. The costs of the driver journey are reduced through the apportionment of expenses due to the sharing of accents in the vehicle used in the task of collecting prizes. The tasks in the route are selected according to the routing model with collection of prizes, therefore considering penalties for the non-attendance of existing task and additionally determining the fulfillment of a minimum demand of tasks. The demand for collaborative transport is protected by restrictions that ensure passengers are transported to their destination. Likewise, the apportionment costs will be less than or equal to the tariff limits established by the passengers. The present work presents the mathematical formulation for the problem, validates the model in an exact solution process and examines the performance of two algorithms that execute construction steps with exact criteria and six with heuristic criteria. Accurate step-by-step algorithms aim to create anchoring results to evaluate algorithm performance with heuristic decisions. Three instance groups are also proposed for the problem in order to allow future experimentation of new algorithms. Finally, it is concluded that the algorithms of heuristic steps achieve promising performance for the problem examined.
dc.publisherBrasil
dc.publisherUFRN
dc.publisherPROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO
dc.rightsAcesso Aberto
dc.subjectCaixeiro viajante
dc.subjectPassageiros
dc.subjectRidesharing
dc.subjectMeta-heurísticas
dc.titleCaixeiro viajante com coleta de prêmios e passageiros
dc.typemasterThesis


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