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

    Pavels Narica, Lyubomir Lazov, Artis Teilans, Peteris Grabusts, Edmunds Teirumnieks, Pavels Cacivkins


    ##manager.scheduler.building##: Atbrivosanas aleja 115
    ##manager.scheduler.room##: Assembly Hall (222)
    Last modified: 05.06.2017

    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.

    Keywords


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

    References


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    [5]     A. J. Antonczak, B. Stepak, P. E. Kozioł, K. M. Abramski, “The influence of process parameters on the laser-induced coloring of titanium”, Applied Physics A, 2014.

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