Intelligent systems for next-generation manufacturing

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

  author =       "Miran Brezocnik and Miha Kovacic and Mirko Ficko",
  title =        "Intelligent systems for next-generation
  journal =      "Academic Journal of Manufacturing Engineering",
  year =         "2004",
  volume =       "2",
  number =       "1",
  pages =        "34--37",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1583-7904",
  URL =          "",
  abstract =     "In this paper we propose a fundamental shift from the
                 present manufacturing paradigm favouring particularly
                 determinism, rationalism, and top-down organizational
                 principles towards intelligent systems in
                 next-generation manufacturing involving phenomena such
                 as non-determinism, emergence, learning, complexity,
                 self-organization, and bottom-up organization. The
                 problem types and different intelligent systems for
                 solving of problems were studied. Two examples of the
                 intelligent systems from the areas of metal forming
                 industry and autonomous intelligent vehicles are given.
                 Both systems are based on learning and imitate some
                 excellent properties of the living systems. Genetic
                 programming and genetic algorithms were used. The
                 stable global order (i.e., solution) of each presented
                 system gradually emerges as a result of interactions
                 between entities of which the system consists and the
  notes =        "

                 Feb 2014 journal_vol_2_2004_no_1.html gives a number of
                 alternative titles...


Genetic Programming entries for Miran Brezocnik Miha Kovacic Mirko Ficko