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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/137162
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dc.contributor.authorObal, Thalita Monteiro-
dc.contributor.authorSilva, Helenice de Oliveira Florentino-
dc.contributor.authorGevert, Vânia Gryczak-
dc.contributor.authorJones, Dylan F.-
dc.contributor.authorOuelhadj, Djamila-
dc.contributor.authorVolpi, Neida Maria Patias-
dc.contributor.authorWilhelm, Volmir Eugênio-
dc.date.accessioned2016-04-01T18:44:27Z-
dc.date.accessioned2016-10-25T21:36:43Z-
dc.date.available2016-04-01T18:44:27Z-
dc.date.available2016-10-25T21:36:43Z-
dc.date.issued2015-
dc.identifierhttp://dx.doi.org/10.1088/1742-6596/616/1/012012-
dc.identifier.citationJournal of Physics. Conference Series, v. 616, p. 1-10, 2015.-
dc.identifier.issn1742-6588-
dc.identifier.urihttp://hdl.handle.net/11449/137162-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/137162-
dc.description.abstractIn this paper a matheuristic using a combined Genetic Algorithm (GA) and exact method approach is proposed for selecting the position of the beams and dose distribution in Intensity Modulated Radiotherapy Planning (IMRT). GA selects a set of beams, for which the dose distribution is determined in the process of the GA’s evaluation, using an optimisation model that is solved by an Interior Point method. Two instances are used to evaluate the performance of the matheuristic, comparing to the optimum solution, in terms of solution and computation time, found using the exact methodology of Branch and Bound. The results show that the matheuristic is appropriate to this problem in the case study proposed, as it is extremely faster than the exact method and also have reached the optimum solution in several experiments done.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.format.extent1-10-
dc.language.isoeng-
dc.sourceCurrículo Lattes-
dc.titleA matheuristic for the selection of beam directions and dose distribution in radiotherapy planningen
dc.typeoutro-
dc.contributor.institutionUniversidade Federal do Paraná (UFPR)-
dc.contributor.institutionUniversidade Tecnológica Federal do Paraná (UTFPR)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversity of Portsmouth-
dc.description.affiliationUniversidade Federal do Paraná (UFPR), Curitiba, PR, Brasil-
dc.description.affiliationUniversidade Tecnológica Federal do Paraná (UTFPR), Guarapuava, PR, Brasil-
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Bioestatística, Botucatu, SP, Brasil-
dc.description.affiliationUniversity of Portsmouth, Portsmouth, UK-
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Instituto de Biociências Botucatu (IBB), Departamento de Bioestatística, Botucatu, SP, Brasil-
dc.identifier.doi10.1088/1742-6596/616/1/012012-
dc.rights.accessRightsAcesso aberto-
dc.identifier.fileISSN1742-6588-2015-616-01-10.pdf-
dc.relation.ispartofJournal of Physics. Conference Series-
dc.identifier.lattes4637003229684941-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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