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Dual-head marking performance optimisation via evolutionary solutions

This paper presents a new approach to optimise the performance of a multi-head marking system in terms of its marking speed This processing method named as MMA (Molecular Marking Optimisation algorithm) will adopt the use of Genetic Algorithm. The advantage of the 'self-evolving' nature of...

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Main Authors: Koh, J., Tiong, S.K., Aris, I.B., Mahmoud, S.
Format: Conference Paper
Language:en_US
Published: 2017
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spelling my.uniten.dspace-58572018-01-14T23:34:14Z Dual-head marking performance optimisation via evolutionary solutions Koh, J. Tiong, S.K. Aris, I.B. Mahmoud, S. This paper presents a new approach to optimise the performance of a multi-head marking system in terms of its marking speed This processing method named as MMA (Molecular Marking Optimisation algorithm) will adopt the use of Genetic Algorithm. The advantage of the 'self-evolving' nature of the Genetic Algorithm has been considered to discover the most relevant combination of features for each diagnosis considered. The knowledge acquired by the process is interpreted and mapped into vectors, which are kept in the database and used by the system to guide its reasoning process. The representation approach has been implemented via computer program in order to achieve optimised marking performance. Also, the performance of the new operators for evolutionary approaches to the time-based problem has been discussed in the paper. © 2005 IEEE. 2017-12-08T07:26:45Z 2017-12-08T07:26:45Z 2006 Conference Paper 10.1109/DELTA.2006.39 en_US Proceedings - Third IEEE International Workshop on Electronic Design, Test and Applications, DELTA 2006 Volume 2006, 2006, Article number 1581192, Pages 85-88
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language en_US
description This paper presents a new approach to optimise the performance of a multi-head marking system in terms of its marking speed This processing method named as MMA (Molecular Marking Optimisation algorithm) will adopt the use of Genetic Algorithm. The advantage of the 'self-evolving' nature of the Genetic Algorithm has been considered to discover the most relevant combination of features for each diagnosis considered. The knowledge acquired by the process is interpreted and mapped into vectors, which are kept in the database and used by the system to guide its reasoning process. The representation approach has been implemented via computer program in order to achieve optimised marking performance. Also, the performance of the new operators for evolutionary approaches to the time-based problem has been discussed in the paper. © 2005 IEEE.
format Conference Paper
author Koh, J.
Tiong, S.K.
Aris, I.B.
Mahmoud, S.
spellingShingle Koh, J.
Tiong, S.K.
Aris, I.B.
Mahmoud, S.
Dual-head marking performance optimisation via evolutionary solutions
author_facet Koh, J.
Tiong, S.K.
Aris, I.B.
Mahmoud, S.
author_sort Koh, J.
title Dual-head marking performance optimisation via evolutionary solutions
title_short Dual-head marking performance optimisation via evolutionary solutions
title_full Dual-head marking performance optimisation via evolutionary solutions
title_fullStr Dual-head marking performance optimisation via evolutionary solutions
title_full_unstemmed Dual-head marking performance optimisation via evolutionary solutions
title_sort dual-head marking performance optimisation via evolutionary solutions
publishDate 2017
_version_ 1644493792043073536
score 13.160551

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