Fitting PAC spectra with a hybrid algorithm

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Data

2008-01-01

Autores

Alves, M. A.
Carbonari, A. W.

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Resumo

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.

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Data fitting, Genetic algorithms, Perturbed angular correlation, Simulated annealing

Como citar

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

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