Fitting PAC spectra with a hybrid algorithm

dc.contributorInstituto de Aeronáutica e Espaço
dc.contributorFaculdade de Engenharia de Guaratinguetá
dc.contributorInstituto de Pesquisas Energéticas e Nucleares
dc.date.accessioned2022-04-28T18:55:48Z
dc.date.accessioned2022-12-20T00:48:07Z
dc.date.available2022-04-28T18:55:48Z
dc.date.available2022-12-20T00:48:07Z
dc.date.created2022-04-28T18:55:48Z
dc.date.issued2008-01-01
dc.identifierHyperfine Interactions, v. 181, n. 1-3, p. 127-130, 2008.
dc.identifier0304-3843
dc.identifierhttp://hdl.handle.net/11449/219483
dc.identifier10.1007/s10751-008-9703-z
dc.identifier2-s2.0-54849404111
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5399612
dc.description.abstractA hybrid algorithm (HA) that blends features of genetic algorithms (GA) and simulated annealing (SA) was implemented for simultaneous fits of perturbed angular correlation (PAC) spectra. The main characteristic of the HA is the incorporation of a selection criterion based on SA into the basic structure of GA. The results obtained with the HA compare favorably with fits performed with conventional methods. © 2008 Springer Science+Business Media B.V.
dc.languageeng
dc.relationHyperfine Interactions
dc.sourceScopus
dc.subjectData fitting
dc.subjectGenetic algorithms
dc.subjectPerturbed angular correlation
dc.subjectSimulated annealing
dc.titleFitting PAC spectra with a hybrid algorithm
dc.typeArtículos de revistas


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