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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, C.P., Koh, S.P., Aris, I.B., Albert, F.Y.C., Tiong, S.K.
Format: Conference Paper
Language:en_US
Published: 2017
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spelling my.uniten.dspace-58432018-01-08T03:52:27Z Path optimization using genetic algorithm in laser scanning system Chen, C.P. Koh, S.P. Aris, I.B. Albert, F.Y.C. Tiong, S.K. 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. © 2008 IEEE. 2017-12-08T07:26:39Z 2017-12-08T07:26:39Z 2008 Conference Paper 10.1109/ITSIM.2008.4632037 en_US Proceedings - International Symposium on Information Technology 2008, ITSim Volume 4, 2008, Article number 4632037
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 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. © 2008 IEEE.
format Conference Paper
author Chen, C.P.
Koh, S.P.
Aris, I.B.
Albert, F.Y.C.
Tiong, S.K.
spellingShingle Chen, C.P.
Koh, S.P.
Aris, I.B.
Albert, F.Y.C.
Tiong, S.K.
Path optimization using genetic algorithm in laser scanning system
author_facet Chen, C.P.
Koh, S.P.
Aris, I.B.
Albert, F.Y.C.
Tiong, S.K.
author_sort Chen, C.P.
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
publishDate 2017
_version_ 1644493788847013888
score 13.214268

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