Evolutionary method for surface quality prediction

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@InCollection{Kovacic:2003:DAAAM,
  author =       "Miha Kovacic and Miran Brezocnik",
  title =        "Evolutionary method for surface quality prediction",
  booktitle =    "DAAAM International Scientific Book 2003",
  publisher =    "DAAAM International Vienna",
  year =         "2003",
  editor =       "B. Katalinic",
  volume =       "2",
  pages =        "331--338",
  address =      "Vienna",
  month =        "Juli",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-901509-36-4",
  abstract =     "In this paper the genetic algorithm based method which
                 we named genetic approximation is used to optimise
                 floating-point constants of the presumed mathematical
                 model for surface quality prediction. In addition, a
                 practical example of the use of genetic approximation
                 method for predicting surface quality of Monel alloy is
                 presented. Cutting depth, feeding, and cutting speed
                 were parameters monitored during cutting process. For
                 each combination of cutting parameters average
                 roughness of the machined surface was measured. Two
                 sets of experimental data were used: first set of 8
                 experimental data to determine prediction model and
                 second set of 10 experimental measurements to verify
                 the model. Research shows that developed model fits to
                 experimental data.",
  notes =        "publication@daaam.com Broken Jan 2013
                 http://www.daaam.com/daaam/Sc_Book/DAAAM_International_Scientific_Book_2006.htm",
}

Genetic Programming entries for Miha Kovacic Miran Brezocnik

Citations