Using of genetic programming in engineering

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@Article{babic:2014:etv,
  author =       "Matej Babic and Peter Kokol and Igor Belic and 
                 Peter Panjan and Miha Kovacic and Joze Balic",
  title =        "Using of genetic programming in engineering",
  journal =      "Elektrotehniski vestnik",
  year =         "2014",
  volume =       "81",
  number =       "3",
  pages =        "143--147",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming, engineering,
                 complex geometry structure",
  ISSN =         "0013-5852",
  URL =          "http://ev.fe.uni-lj.si/3-2014/Babic.pdf",
  size =         "5 pages",
  abstract =     "Intelligent systems are process coupled with robotics
                 in industrial usually settings, though they may be used
                 as diagnostic systems connected only to passive
                 sensors. In this paper we use a new method which
                 combines an intelligent genetic algorithm and multiple
                 regression to predict the hardness of hardened
                 specimens. The hardness of a material is an important
                 mechanical property affecting mechanical properties of
                 materials. The Microstructures of the hardened
                 specimens are very complex and cannot be described them
                 with the classical Euclidian geometry. Thus, we use a
                 new method, i.e. fractal geometry. By using the method
                 intelligent-system, genetic programming and multiple
                 regression, improved production the process
                 laser-hardening increases because of the decreased time
                 of the process and, the improved increased
                 topographical property of the used materials. The
                 genetic-programming modelling results show a good
                 agreement with the measured hardness of the hardened
                 specimens.",
  notes =        "http://ev.fe.uni-lj.si/online.html Journal of
                 Electrical Engineering and Computer Science",
}

Genetic Programming entries for Matej Babic Peter Kokol Igor Belic Peter Panjan Miha Kovacic Joze Balic

Citations