A fast and precise genetic algorithm for a nonlinear fitting problem
type: Item
instance of: scholarly article
title: A fast and precise genetic algorithm for a nonlinear fitting problem
zbMATH Open document ID: 0946.65003
DOI: 10.1016/S0010-4655(99)00454-3
author: A. Brunetti
published in: Computer Physics Communications
publication date: 2000-10-10T00:00:00Z
review text: A new method based on a genetic algorithm technique is proposed to solve a nonlinear and nonlineariable fitting problem. Experimental results indicate that the new method show similar performance compared to the Marquardt-Levenberg method, but does not require user interactions.
Mathematics Subject Classification ID: 65D10
Mathematics Subject Classification ID: 65Y20
zbMATH DE Number: 1422850
zbMATH Keywords: fit procedure
zbMATH Keywords: radiographic measurements
zbMATH Keywords: numerical examples
zbMATH Keywords: comparison of methods
zbMATH Keywords: genetic algorithm
zbMATH Keywords: performance
zbMATH Keywords: Marquardt-Levenberg method
MaRDI profile type: Publication
full work available at URL: s0010-4655(99)00454-3
OpenAlex ID: W2075432049
description: scientific article; zbMATH DE number 1422850