Fitting PAC spectra with a hybrid algorithm

Artículos de revistas

Fecha

2008-01-01

Registro en:

Hyperfine Interactions, v. 181, n. 1-3, p. 127-130, 2008.

0304-3843

http://hdl.handle.net/11449/219483

10.1007/s10751-008-9703-z

2-s2.0-54849404111

https://repositorioslatinoamericanos.uchile.cl/handle/2250/5399612

Autor

Instituto de Aeronáutica e Espaço

Faculdade de Engenharia de Guaratinguetá

Instituto de Pesquisas Energéticas e Nucleares

Institución

Universidade Estadual Paulista (Brasil)

Resumen

A 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.

Materias

Data fitting

Genetic algorithms

Perturbed angular correlation

Simulated annealing

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