Path optimization using genetic algorithm in laser scanning system

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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Bibliographic Details
Main Authors: Chen C.P., Koh S.P., Aris I.B., Albert F.Y.C., Tiong S.K.
Other Authors: 25824552100
Format: Conference paper
Published: 2023
Subjects:
Diesel engines
Genetic algorithms
Information technology
Laser applications
Lasers
Convergent speeds
Cross overs
Dynamic variables
Laser markings
Number representations
Path optimizations
Real-coded genetic algorithms
Scanning paths
Scanning systems
Sequencing problems
Simulation results
Two points
Scanning
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Institution: Universiti Tenaga Nasional
Description
Summary: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.

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