Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/5843
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dc.contributor.authorChen, C.P.en_US
dc.contributor.authorKoh, S.P.en_US
dc.contributor.authorAris, I.B.en_US
dc.contributor.authorAlbert, F.Y.C.en_US
dc.contributor.authorTiong, S.K.en_US
dc.date.accessioned2017-12-08T07:26:39Z-
dc.date.available2017-12-08T07:26:39Z-
dc.date.issued2008-
dc.description.abstractLaser marking is superior in quality and flexibility to conventional marking techniques such as ink stamping marking. The beam deflected scanning has been commonly applied in the industries. In this paper, the genetic algorithm (GA) has been proposed to optimize the scanning sequence, thus shortening the required laser scanning path. The GA would base on the real-number representation, namely Real-Coded Genetic Algorithm (RCGA). It employs the Dynamic Variable Length Two Point Crossover (DVL-2PC). The simulation results indicating that the proposed algorithm has good convergent speed and manage to solve the sequencing problem efficiently. © 2008 IEEE.en_US
dc.language.isoen_USen_US
dc.relation.ispartofProceedings - International Symposium on Information Technology 2008, ITSim Volume 4, 2008, Article number 4632037en_US
dc.titlePath optimization using genetic algorithm in laser scanning systemen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ITSIM.2008.4632037-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeConference Paper-
Appears in Collections:COE Scholarly Publication
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