MODELING OF TECHNOLOGICAL SYSTEMS BY THE USE OF GENETIC METHODS

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@PhdThesis{Brezocnik:thesis,
  author =       "Miran Brezocnik",
  title =        "MODELING OF TECHNOLOGICAL SYSTEMS BY THE USE OF
                 GENETIC METHODS",
  school =       "University of Maribor, Faculty of Mechanical
                 Engineering",
  year =         "1998",
  type =         "phdthesis",
  address =      "Smetanova ulica 17, SI-2000 Maribor, Slovenia",
  email =        "mbrezocnik@uni-mb.si",
  keywords =     "genetic algorithms, genetic programming, intelligent
                 manufacturing systems, technological system, forming,
                 assembly, robots, self-organisation, genetic methods,
                 modelling, optimisation",
  size =         "129 pages",
  abstract =     "In this work we propose modelling of different
                 technological systems by a general approach. The
                 research starts with searching for common
                 characteristics of the technological systems. After
                 they have been found out, they are synthesised into
                 uniform principle serving for conceiving a general
                 method for their modeling. The method imitates
                 associating of living cells into tissues, organs and
                 organisms. The disturbances resulting from limited
                 human knowledge, unpredictability of technological
                 systems, and unexpected events in production
                 environment are automatically eliminated during the
                 evolutionary process. More and more intelligent
                 behaviour of the individual technological system, which
                 is expressed as an increasingly successful
                 synchronisation of the material, energy and
                 information, is obtained gradually with
                 self-organization and without centralised
                 instruction.

                 In order to support the theoretical researches a system
                 for genetic programming is developed. It is
                 successfully used for genetic modeling of: 1. forming
                 efficiency, 2. assembly and classification, and 3.
                 trajectories of robots in the production environment.
                 The results of modeling of forming efficiency show
                 excellent correspondence between analytically obtained
                 models, experimental results, and genetically developed
                 models. In case of genetic modeling of assembly the
                 basic components are integrated into the final product
                 in a self-organising manner. Genetic modelling the
                 trajectory of the robot, striving to arrive at the aim
                 through a dynamic production environment, discovers the
                 intelligent robot navigation formed during the
                 evolutionary process.",
}

Genetic Programming entries for Miran Brezocnik

Citations