Genetic programming approach for surface quality prediction

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@Article{Kovacic:2003:TR,
  author =       "Miha Kovacic and Miran Brezocnik",
  title =        "Genetic programming approach for surface quality
                 prediction",
  journal =      "Tehnicki vjesnik",
  year =         "2003",
  volume =       "10",
  number =       "1",
  pages =        "19--24",
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "The evolutionary computation is a common name for the
                 optimisation methods imitating Darwinian findings about
                 evolution of the biological species and the survival of
                 the fittest. The common characteristic of the
                 evolutionary computation is that the optimum or near
                 optimum solution of the problem is formed gradually,
                 from generation to generation, similarly as nature acts
                 during the improvement and evolution of living beings.
                 We use genetic programming to predict the surface
                 quality of aluminium alloy. Two sets of experimental
                 data were used: first set to determine prediction model
                 by genetic programming for surface roughness and second
                 set to verify the model. The researches show very good
                 agreement between the experimental data and the
                 predicted values obtained by the model developed
                 genetically.",
  notes =        "http://www.gradst.hr/library/journals/catalogue_T/teh-vjes.htm
                 TECHNICAL GAZETTE Scientific-professional journal of
                 technical faculties of the University of Osijek",
}

Genetic Programming entries for Miha Kovacic Miran Brezocnik

Citations