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Computational approach for multi performances optimization of EDM

This paper proposes a new computational approach employed in obtaining optimal parameters of multi performances EDM. Regression and artificial neural network (ANN) are used as the modeling techniques meanwhile multi objective genetic algorithm (multiGA) is used as the optimization technique. Orthogo...

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Main Authors: Yusoff, Yusliza, Mohd. Zain, Azlan, Ngadiman, Mohd. Salihin
Format: Conference or Workshop Item
Published: EDP SCIENCES 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/66694/
https://doi.org/10.1051/matecconf/20167801014
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spelling my.utm.666942017-11-22T00:45:05Z http://eprints.utm.my/id/eprint/66694/ Computational approach for multi performances optimization of EDM Yusoff, Yusliza Mohd. Zain, Azlan Ngadiman, Mohd. Salihin QA75 Electronic computers. Computer science This paper proposes a new computational approach employed in obtaining optimal parameters of multi performances EDM. Regression and artificial neural network (ANN) are used as the modeling techniques meanwhile multi objective genetic algorithm (multiGA) is used as the optimization technique. Orthogonal array L256 is implemented in the procedure of network function and network architecture selection. Experimental studies are carried out to verify the machining performances suggested by this approach. The highest MRR value obtained from OrthoANN – MPR – MultiGA is 205.619 mg/mi n and the lowest Ra value is 0.0223µm. EDP SCIENCES 2016-01-10 Conference or Workshop Item PeerReviewed Yusoff, Yusliza and Mohd. Zain, Azlan and Ngadiman, Mohd. Salihin (2016) Computational approach for multi performances optimization of EDM. In: 2nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016), 2016. https://doi.org/10.1051/matecconf/20167801014
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Yusoff, Yusliza
Mohd. Zain, Azlan
Ngadiman, Mohd. Salihin
Computational approach for multi performances optimization of EDM
description This paper proposes a new computational approach employed in obtaining optimal parameters of multi performances EDM. Regression and artificial neural network (ANN) are used as the modeling techniques meanwhile multi objective genetic algorithm (multiGA) is used as the optimization technique. Orthogonal array L256 is implemented in the procedure of network function and network architecture selection. Experimental studies are carried out to verify the machining performances suggested by this approach. The highest MRR value obtained from OrthoANN – MPR – MultiGA is 205.619 mg/mi n and the lowest Ra value is 0.0223µm.
format Conference or Workshop Item
author Yusoff, Yusliza
Mohd. Zain, Azlan
Ngadiman, Mohd. Salihin
author_facet Yusoff, Yusliza
Mohd. Zain, Azlan
Ngadiman, Mohd. Salihin
author_sort Yusoff, Yusliza
title Computational approach for multi performances optimization of EDM
title_short Computational approach for multi performances optimization of EDM
title_full Computational approach for multi performances optimization of EDM
title_fullStr Computational approach for multi performances optimization of EDM
title_full_unstemmed Computational approach for multi performances optimization of EDM
title_sort computational approach for multi performances optimization of edm
publisher EDP SCIENCES
publishDate 2016
url http://eprints.utm.my/id/eprint/66694/
https://doi.org/10.1051/matecconf/20167801014
_version_ 1643655837577641984
score 13.214268

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