Programming CNC measuring machines by genetic algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Miran Brezocnik and Miha Kovacic and Joze Balic and 
                 Bogdan Sovilj",
  title =        "Programming CNC measuring machines by genetic
  journal =      "Academic Journal of Manufacturing Engineering",
  year =         "2004",
  volume =       "2",
  number =       "4",
  pages =        "15--20",
  keywords =     "genetic algorithms, genetic programming, optimisation,
                 coordinate measuring machines, computer aided quality
                 control, evolutionary computation",
  ISSN =         "1583-7904",
  URL =          "",
  size =         "6 pages",
  abstract =     "The need for efficient and reliable tools for
                 programming of CNC coordinate measuring machine is
                 rapidly increasing in modern production. The proposed
                 concept based on genetic algorithms assures generation
                 and optimization of NC programs for measuring machine.
                 Therefore the structure, undergoing simulated
                 evolution, is the population of NC programs. The NC
                 programs control the tactile probe which performs
                 simple elementary motions in the discretized measuring
                 area. During the simulated evolution the probe movement
                 becomes more and more optimized and intelligent
                 solutions emerge gradually as a result of the low level
                 interaction between the simple probe movements and the
                 measuring environment. Example of CNC programming of
                 measuring machine is given. Results show universality
                 and inventiveness of the approach",
  notes =        "

Genetic Programming entries for Miran Brezocnik Miha Kovacic Joze Balic Bogdan Sovilj