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Path optimization using genetic algorithm in laser scanning system

Laser 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 shortenin...

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Main Authors: Chen, Chai Phing, Koh, Johnny Siaw Paw, Aris, Ishak, Fong, Albert Yu Chooi, Tiong, Sieh Kiong
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/69252/1/Path%20optimization%20using%20genetic%20algorithm%20in%20laser%20scanning%20system.pdf
http://psasir.upm.edu.my/id/eprint/69252/
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spelling my.upm.eprints.692522019-06-12T07:39:08Z http://psasir.upm.edu.my/id/eprint/69252/ Path optimization using genetic algorithm in laser scanning system Chen, Chai Phing Koh, Johnny Siaw Paw Aris, Ishak Fong, Albert Yu Chooi Tiong, Sieh Kiong Laser 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. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69252/1/Path%20optimization%20using%20genetic%20algorithm%20in%20laser%20scanning%20system.pdf Chen, Chai Phing and Koh, Johnny Siaw Paw and Aris, Ishak and Fong, Albert Yu Chooi and Tiong, Sieh Kiong (2008) Path optimization using genetic algorithm in laser scanning system. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4632037
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Laser 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.
format Conference or Workshop Item
author Chen, Chai Phing
Koh, Johnny Siaw Paw
Aris, Ishak
Fong, Albert Yu Chooi
Tiong, Sieh Kiong
spellingShingle Chen, Chai Phing
Koh, Johnny Siaw Paw
Aris, Ishak
Fong, Albert Yu Chooi
Tiong, Sieh Kiong
Path optimization using genetic algorithm in laser scanning system
author_facet Chen, Chai Phing
Koh, Johnny Siaw Paw
Aris, Ishak
Fong, Albert Yu Chooi
Tiong, Sieh Kiong
author_sort Chen, Chai Phing
title Path optimization using genetic algorithm in laser scanning system
title_short Path optimization using genetic algorithm in laser scanning system
title_full Path optimization using genetic algorithm in laser scanning system
title_fullStr Path optimization using genetic algorithm in laser scanning system
title_full_unstemmed Path optimization using genetic algorithm in laser scanning system
title_sort path optimization using genetic algorithm in laser scanning system
publisher IEEE
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/69252/1/Path%20optimization%20using%20genetic%20algorithm%20in%20laser%20scanning%20system.pdf
http://psasir.upm.edu.my/id/eprint/69252/
_version_ 1643839439926984704
score 13.211869

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