Path optimization using genetic algorithm in laser scanning system

Citation

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. .

Abstract

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ITSIM.2008.4632037
Publisher:	IEEE
Keywords:	Genetic algorithm; Scanning sequence
Depositing User:	Nabilah Mustapa
Date Deposited:	12 Jun 2019 07:39
Last Modified:	12 Jun 2019 07:39
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ITSIM.2008.4632037
URI:	http://psasir.upm.edu.my/id/eprint/69252
Statistic Details:	View Download Statistic

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