• DocumentCode
    2325741
  • Title

    Evolution of the evaluated conservation structures

  • Author

    Csukás, B. ; Lakner, R. ; Varga, K.

  • Author_Institution
    Lab. of Syst. Eng., Veszprem Univ., Hungary
  • fYear
    1994
  • fDate
    27-29 Jun 1994
  • Firstpage
    176
  • Abstract
    An evolutionary computing model of the engineering synthesis and design has been proposed with a twofold evaluation feedback, characterized by: synthesizing various genetic codes from the evaluated genetic elements; generating the detailed conservation models and structure based neural networks for tuning themselves; and evaluating the genetic elements by the results of the dynamic simulation, according to the optionally multiple goals. The evaluated genetic model can be formalized by a family of evaluated structures, where the vehicle structure is a semiring and optionally multiple value distribution functions are associated with its generating elements
  • Keywords
    biocybernetics; genetic algorithms; neural nets; optimisation; cybernetics; detailed conservation models; dynamic simulation; engineering design; engineering synthesis; evaluated conservation structures; evaluated genetic model; evolution; evolutionary computing model; genetic algorithm; genetic code synthesis; multiple value distribution functions; neural network; prolog; structural modeling; structure based neural networks; tuning; uncertainty; Character generation; Computer networks; Design engineering; Distribution functions; Genetic engineering; Network synthesis; Neural networks; Neurofeedback; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1899-4
  • Type

    conf

  • DOI
    10.1109/ICEC.1994.350020
  • Filename
    350020