Dual-Head Marking Performance Optimisation via Evolutionary Solutions

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Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06)

Kuala Lumpur, Malaysia

January 17-January 19

ISBN: 0-7695-2500-8

	ASCII Text	x
	Johnny Koh, Tiong Sieh Kiong, I.B. Aris, Senan Mahmoud, "Dual-Head Marking Performance Optimisation via Evolutionary Solutions," Electronic Design, Test and Applications, IEEE International Workshop on, pp. 85-88, Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06), 2006.

	BibTex	x
	@article{ 10.1109/DELTA.2006.39, author = {Johnny Koh and Tiong Sieh Kiong and I.B. Aris and Senan Mahmoud}, title = {Dual-Head Marking Performance Optimisation via Evolutionary Solutions}, journal ={Electronic Design, Test and Applications, IEEE International Workshop on}, volume = {0}, year = {2006}, isbn = {0-7695-2500-8}, pages = {85-88}, doi = {http://doi.ieeecomputersociety.org/10.1109/DELTA.2006.39}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Electronic Design, Test and Applications, IEEE International Workshop on TI - Dual-Head Marking Performance Optimisation via Evolutionary Solutions SN - 0-7695-2500-8 SP85 EP88 A1 - Johnny Koh, A1 - Tiong Sieh Kiong, A1 - I.B. Aris, A1 - Senan Mahmoud, PY - 2006 KW - null VL - 0 JA - Electronic Design, Test and Applications, IEEE International Workshop on ER -

Johnny Koh, Universiti Tenaga Malaysia (UNITEN), Malaysia

Tiong Sieh Kiong, Universiti Tenaga Malaysia (UNITEN), Malaysia

I.B. Aris, Universiti Putra Malaysia (UPM), Malaysia

Senan Mahmoud, Universiti Putra Malaysia (UPM), Malaysia

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DELTA.2006.39

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.

Citation:

Johnny Koh, Tiong Sieh Kiong, I.B. Aris, Senan Mahmoud, "Dual-Head Marking Performance Optimisation via Evolutionary Solutions," delta, pp.85-88, Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06), 2006

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