Publication:
Path optimization using genetic algorithm in laser scanning system

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dc.citedby1
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.contributor.authorid25824552100en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid6603306751en_US
dc.contributor.authorid56572305600en_US
dc.contributor.authorid15128307800en_US
dc.date.accessioned2023-12-28T07:41:47Z
dc.date.available2023-12-28T07:41:47Z
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.description.natureFinalen_US
dc.identifier.ArtNo4632037
dc.identifier.doi10.1109/ITSIM.2008.4632037
dc.identifier.scopus2-s2.0-57349152411
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-57349152411&doi=10.1109%2fITSIM.2008.4632037&partnerID=40&md5=6a4dd243cc64e31b1b9be89e43abf500
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29719
dc.identifier.volume4
dc.relation.ispartofAll Open Access; Green Open Access
dc.sourceScopus
dc.sourcetitleProceedings - International Symposium on Information Technology 2008, ITSim
dc.subjectDiesel engines
dc.subjectGenetic algorithms
dc.subjectInformation technology
dc.subjectLaser applications
dc.subjectLasers
dc.subjectConvergent speeds
dc.subjectCross overs
dc.subjectDynamic variables
dc.subjectLaser markings
dc.subjectNumber representations
dc.subjectPath optimizations
dc.subjectReal-coded genetic algorithms
dc.subjectScanning paths
dc.subjectScanning systems
dc.subjectSequencing problems
dc.subjectSimulation results
dc.subjectTwo points
dc.subjectScanning
dc.titlePath optimization using genetic algorithm in laser scanning systemen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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