Thermoluminescence curves simulation using genetic algorithm with factorial design / Popko E.A., Weinstein I.A. // Modern Physics Letters B. - 2016. - V. 30, l. 13.

ISSN:

02179849

Type:

Article

Abstract:

The evolutionary approach is an effective optimization tool for numeric analysis of thermoluminescence (TL) processes to assess the microparameters of kinetic models and to determine its effects on the shape of TL peaks. In this paper, the procedure for tuning of genetic algorithm (GA) is presented. This approach is based on multifactorial experiment and allows choosing intrinsic mechanisms of evolutionary operators which provide the most efficient algorithm performance. The proposed method is tested by considering the "one trap-one recombination center" (OTOR) model as an example and advantages for approximation of experimental TL curves are shown. © 2016 World Scientific Publishing Company.

Author keywords:

FOM criterion; genetic algorithm; multifactorial experiment; OTOR model; TL kinetics

Index keywords:

нет данных

DOI:

10.1142/S021798491650144X

Смотреть в Scopus:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966738892&doi=10.1142%2fS021798491650144X&partnerID=40&md5=d82c8ded80b085314b6cfe8b9bbc08bf

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Другие поля

Поле	Значение
Art. No.	1650144
Link	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966738892&doi=10.1142%2fS021798491650144X&partnerID=40&md5=d82c8ded80b085314b6cfe8b9bbc08bf
Affiliations	NANOTECH Centre, Ural Federal University, 19 Mira Street, Yekaterinburg, Russian Federation
Author Keywords	FOM criterion; genetic algorithm; multifactorial experiment; OTOR model; TL kinetics
References	Gwizdalla, T.M., (2005) Mod. Phys. Lett. B, 19, p. 169; Li, S., Liu, Y., (2005) Mod. Phys. Lett. B, 19, p. 1727; Delice, S., Gasanly, N.M., (2014) Mod. Phys. Lett. B, 28, p. 1450133; Gonsales, P.R., Furetta, C., Cruz-Zaragoza, E., Azorin, J., (2010) Mod. Phys. Lett. B, 24, p. 717; Kitis, G., Furetta, C., Pagonis, V., (2009) Mod. Phys. Lett. B, 23, p. 3191; Adamiec, G., Bluszcz, A., Bailey, R., Garcia-Talavera, M., (2006) Radiat. Meas., 41, p. 897; Weinstein, I.A., Popko, E.A., (2007) Radiat. Meas., 42, p. 735; Weinstein, I.A., Popko, E.A., (2008) Radiat. Meas., 43, p. 218; Mitchell, M., (1999) An Introduction to Genetic Algorithms, , (MIT Press, Cambridge); Ashlock, D., (2003) Evolutionary Computation for Modeling and Optimization, , (Springer, New York); Montgomery, D., (2003) Design and Analysis of Experiments, , (John Wiley & Sons, New York); Sunta, C.M., Ayta, W.E.F., Piters, T.M., Watanabe, S., (1999) Radiat. Meas., 30, p. 197; Sunta, C.M., Ayta, W.E.F., Chubaci, J.F.D., Watanabe, S., (2002) Radiat. Meas., 35, p. 47; Herrera, F., (1998) Artif. Intell. Rev., 12, p. 265; Michalevicz, Z., (1992) Genetic Algorithms + Data Structures = Evolution Programs, , (Springer-Verlag, Berlin); Berkane-Krachai, A., Iacconi, P., Bindi, R., Vinceller, S., (2002) J. Phys. D: Appl. Phys., 25, p. 1895; Weinstein, I.A., Popko, E.A., (2007) J. Luminescence, 122, p. 377
Correspondence Address	Popko, E.A.; NANOTECH Centre, Ural Federal University, 19 Mira Street, Russian Federation; email: e.a.popko@urfu.ru
Publisher	World Scientific Publishing Co. Pte Ltd
CODEN	MPLBE
Language of Original Document	English
Abbreviated Source Title	Mod. Phys. Lett. B
Source	Scopus