A GPU-based implementation of the firefly algorithm for variable selection in multivariate calibration problems

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dc.creatorPaula, Lauro Cássio Martins de
dc.creatorSoares, Anderson da Silva
dc.creatorLima, Telma Woerle de
dc.creatorDelbem, Alexandre Cláudio Botazzo
dc.creatorCoelho, Clarimar José
dc.creatorGalvão Filho, Arlindo Rodrigues
dc.date.accessioned2019-08-27T12:49:36Z
dc.date.available2019-08-27T12:49:36Z
dc.date.issued2014-12
dc.description.abstractSeveral variable selection algorithms in multivariate calibration can be accelerated using Graphics Processing Units (GPU). Among these algorithms, the Firefly Algorithm (FA) is a recent proposed metaheuristic that may be used for variable selection. This paper presents a GPU-based FA (FA-MLR) with multiobjective formulation for variable selection in multivariate calibration problems and compares it with some traditional sequential algorithms in the literature. The advantage of the proposed implementation is demonstrated in an example involving a relatively large number of variables. The results showed that the FA-MLR, in comparison with the traditional algorithms is a more suitable choice and a relevant contribution for the variable selection problem. Additionally, the results also demonstrated that the FAMLR performed in a GPU can be five times faster than its sequential implementation.pt_BR
dc.identifier.citationPAULA, Lauro C. M. de; SOARES, Anderson S.; LIMA, Telma W.; DELBEM, Alexandre C. B.; COELHO, Clarimar J.; GALVÃO FILHO, Arlindo R. A GPU-based implementation of the firefly algorithm for variable selection in multivariate calibration problems. Plos One, San Francisco, v. 9, n. 12, p. e114145, Dec. 2014.pt_BR
dc.identifier.doi10.1371/journal.pone.0114145
dc.identifier.issne- 1932-6203
dc.identifier.urihttp://repositorio.bc.ufg.br/handle/ri/18017
dc.language.isoengpt_BR
dc.publisher.countryEstados unidospt_BR
dc.publisher.departmentInstituto de Informática - INF (RG)pt_BR
dc.rightsAcesso Abertopt_BR
dc.titleA GPU-based implementation of the firefly algorithm for variable selection in multivariate calibration problemspt_BR
dc.typeArtigopt_BR

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