METHOD FOR COLOR LASER MARKING PROCESS OPTIMIZATION WITH THE USE OF GENETIC ALGORITHMS

Authors

  • Pavels Narica Rezekne Academy of Technologies
  • Lyubomir Lazov Rezekne Academy of Technologies
  • Artis Teilans Rezekne Academy of Technologies
  • Peteris Grabusts Rezekne Academy of Technologies
  • Edmunds Teirumnieks Rezekne Academy of Technologies
  • Pavels Cacivkins Rezekne Academy of Technologies

DOI:

https://doi.org/10.17770/etr2017vol2.2607

Keywords:

color laser marking, combinatorial optimization problem, genetic algorithms, machine learning

Abstract

Optimization of color laser marking process mostly depends on effective identification of optimal values of laser marking parameters. This is a difficult combinatorial optimization problem, which is still essential for companies that use laser marking systems. The study proposes a new approach to the process optimization through the use of genetic algorithms, carrying out preliminary experimental investigation, analyzing the laser marking results, and presenting possible improvements to the current implementation of genetic algorithms. >

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References

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Published

2017-06-15

How to Cite

[1]
P. Narica, L. Lazov, A. Teilans, P. Grabusts, E. Teirumnieks, and P. Cacivkins, “METHOD FOR COLOR LASER MARKING PROCESS OPTIMIZATION WITH THE USE OF GENETIC ALGORITHMS”, ETR, vol. 2, pp. 101–106, Jun. 2017, doi: 10.17770/etr2017vol2.2607.