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A Fast and precise genetic algorithm for a non-linear fitting problem

Brunetti, Antonio (2000) A Fast and precise genetic algorithm for a non-linear fitting problem. Computer Physics Communications, Vol. 124 (2-3), p. 204-211. ISSN 0010-4655. Article.

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DOI: 10.1016/S0010-4655(99)00454-3

Abstract

Fitting procedures are currently used in a large set of computational problems and several algorithms have been developed. However, a complication appears when the fitting function is non-linear and non-lineariable. In this case, a Marquardt–Levenberg procedure is generally used, but it often requires interactions with the user. Here a new method is proposed which is based on a genetic algorithm technique. This kind of algorithm allows fitting in a completely automatic mode, without any manipulation over the fitting function. The algorithm developed is generally faster and more precise than traditional genetic algorithms reported in the literature. Its performances are comparable to those in the Marquardt–Levenberg algorithm technique. It has been developed as fitting method for measurements of X-ray tube response. Fitting this response is very important to avoid any patient injuries. The results obtained are reported here and compared to other genetic algorithm implementations, as well as a Marquardt–Levenberg procedure.

Item Type:Article
ID Code:5207
Status:Published
Refereed:Yes
Uncontrolled Keywords:X-ray, fit procedure, radiographic measurements
Subjects:Area 02 - Scienze fisiche > FIS/07 Fisica applicata (a beni culturali, ambientali, biologia e medicina)
Divisions:001 Università di Sassari > 03 Istituti > Matematica e fisica
Publisher:North Holland
ISSN:0010-4655
Copyright Holders:© 2000 Elsevier Science
Deposited On:09 Dec 2010 13:48

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