Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm

The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. Both methods were employed for determining the model parameters of the modified version of Gonzalez-Tello model. To estimate and validat...

Full description

Bibliographic Details
Main Authors: Rashid, Roslina, Jamaluddin, Hishamuddin, Saidina Amin, Nor Aishah
Format: Article
Language:English
Published: The Institution of Engineers, Malaysia 2005
Subjects:
Online Access:http://eprints.utm.my/5585/
http://eprints.utm.my/5585/3/RoslinaRashid2005_ParameterEstimationofTapiocaStarch.pdf
_version_ 1848891088905961472
author Rashid, Roslina
Jamaluddin, Hishamuddin
Saidina Amin, Nor Aishah
author_facet Rashid, Roslina
Jamaluddin, Hishamuddin
Saidina Amin, Nor Aishah
author_sort Rashid, Roslina
building UTeM Institutional Repository
collection Online Access
description The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. Both methods were employed for determining the model parameters of the modified version of Gonzalez-Tello model. To estimate and validate the model parameters, experimental works involving hydrolysing tapioca starch were conducted. The model was then used to predict glucose concentration profile for a given initial condition of the tapioca hydrolysis process. In terms of error index values, both methods produced good results. This study showed that the impact of user defined parameters of the GA was insignificant as compared with the influence of the initial parameters of Gauss-Newton method on the predictive performance. Futhermore, the GA approach requires no guessing of the initial values and is able to produce reasonable solutions for the estimated parameters.
first_indexed 2025-11-15T20:52:25Z
format Article
id utm-5585
institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:52:25Z
publishDate 2005
publisher The Institution of Engineers, Malaysia
recordtype eprints
repository_type Digital Repository
spelling utm-55852010-12-17T09:03:19Z http://eprints.utm.my/5585/ Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm Rashid, Roslina Jamaluddin, Hishamuddin Saidina Amin, Nor Aishah T Technology (General) The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. Both methods were employed for determining the model parameters of the modified version of Gonzalez-Tello model. To estimate and validate the model parameters, experimental works involving hydrolysing tapioca starch were conducted. The model was then used to predict glucose concentration profile for a given initial condition of the tapioca hydrolysis process. In terms of error index values, both methods produced good results. This study showed that the impact of user defined parameters of the GA was insignificant as compared with the influence of the initial parameters of Gauss-Newton method on the predictive performance. Futhermore, the GA approach requires no guessing of the initial values and is able to produce reasonable solutions for the estimated parameters. The Institution of Engineers, Malaysia 2005-09 Article PeerReviewed application/pdf en http://eprints.utm.my/5585/3/RoslinaRashid2005_ParameterEstimationofTapiocaStarch.pdf Rashid, Roslina and Jamaluddin, Hishamuddin and Saidina Amin, Nor Aishah (2005) Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm. The Journal of The Institution of Engineers, Malaysia, 66 (3). pp. 51-60. ISSN 0126-513X http://www.myiem.org.my/content/journal-122.aspx
spellingShingle T Technology (General)
Rashid, Roslina
Jamaluddin, Hishamuddin
Saidina Amin, Nor Aishah
Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
title Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
title_full Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
title_fullStr Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
title_full_unstemmed Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
title_short Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
title_sort parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
topic T Technology (General)
url http://eprints.utm.my/5585/
http://eprints.utm.my/5585/
http://eprints.utm.my/5585/3/RoslinaRashid2005_ParameterEstimationofTapiocaStarch.pdf