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Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure

System identification is a field of study involving the derivation of a mathematical model to explain the dynamical behaviour of a system. One of the steps in system identification is model structure selection which involves the selection of variables and terms of a model. Several important criteri...

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Main Author: Md Fahmi, Abd Samad
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/17003/2/jeas_0416_4078%20DMA%20vs%20FSP.pdf
http://eprints.utem.edu.my/id/eprint/17003/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4078.pdf
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spelling my.utem.eprints.170032021-09-07T17:20:19Z http://eprints.utem.edu.my/id/eprint/17003/ Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure Md Fahmi, Abd Samad T Technology (General) System identification is a field of study involving the derivation of a mathematical model to explain the dynamical behaviour of a system. One of the steps in system identification is model structure selection which involves the selection of variables and terms of a model. Several important criteria for a desirable model structure include its accuracy in future prediction and model parsimony. A parsimonious model structure is desirable in enabling easy control design. Two methods of model structure selection are closely looked into and these are deterministic mutation algorithm (DMA) and forward selection procedure (FSP). The DMA is known to be originated from evolutionary computation whereas FSP may be listed under the study of regression. They have close similarities in characteristics, more specifically known as forward search in model structure selection. However, both also function in a population-based optimization and statistical approaches, respectively. Due to the closeness, this research attempts to clarify the advantages and disadvantages of both methods through model structure selection of difference equation model in system identification. Simulated and real data were used. To allow for fair comparison, DMA was altered so as to equalize its strength, where applicable, to that of FSP. In the real data simulation, both methods obtained the same model structure whereas in simulated data modelling, only DMA was able to select the correct model structure. This concludes that DMA not only has the advantage of simpler procedure but it also superseded the performance of FSP, even with a handicapped alteration. Asian Research Publishing Network (ARPN) 2016-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/17003/2/jeas_0416_4078%20DMA%20vs%20FSP.pdf Md Fahmi, Abd Samad (2016) Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure. ARPN Journal Of Engineering And Applied Sciences, 11 (8). pp. 5114-5119. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4078.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Md Fahmi, Abd Samad
Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure
description System identification is a field of study involving the derivation of a mathematical model to explain the dynamical behaviour of a system. One of the steps in system identification is model structure selection which involves the selection of variables and terms of a model. Several important criteria for a desirable model structure include its accuracy in future prediction and model parsimony. A parsimonious model structure is desirable in enabling easy control design. Two methods of model structure selection are closely looked into and these are deterministic mutation algorithm (DMA) and forward selection procedure (FSP). The DMA is known to be originated from evolutionary computation whereas FSP may be listed under the study of regression. They have close similarities in characteristics, more specifically known as forward search in model structure selection. However, both also function in a population-based optimization and statistical approaches, respectively. Due to the closeness, this research attempts to clarify the advantages and disadvantages of both methods through model structure selection of difference equation model in system identification. Simulated and real data were used. To allow for fair comparison, DMA was altered so as to equalize its strength, where applicable, to that of FSP. In the real data simulation, both methods obtained the same model structure whereas in simulated data modelling, only DMA was able to select the correct model structure. This concludes that DMA not only has the advantage of simpler procedure but it also superseded the performance of FSP, even with a handicapped alteration.
format Article
author Md Fahmi, Abd Samad
author_facet Md Fahmi, Abd Samad
author_sort Md Fahmi, Abd Samad
title Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure
title_short Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure
title_full Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure
title_fullStr Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure
title_full_unstemmed Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure
title_sort deterministic mutation algorithm as a winner over forward selection procedure
publisher Asian Research Publishing Network (ARPN)
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/17003/2/jeas_0416_4078%20DMA%20vs%20FSP.pdf
http://eprints.utem.edu.my/id/eprint/17003/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4078.pdf
_version_ 1710679411869614080
score 13.211869

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