• DocumentCode
    2831830
  • Title

    Evolutionary Synthesis of Complex Structures

  • Author

    Ivan, Zelinka ; Roman, Senkerik ; Zuzana, Oplatkova

  • Author_Institution
    Fac. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin
  • fYear
    2008
  • fDate
    1-5 Sept. 2008
  • Firstpage
    537
  • Lastpage
    543
  • Abstract
    Synthesis, identification and control of the complex systems is usually extremely complicated. When classics methods are used, also some simplifications are done which leads to idealized solutions that are far away of reality. In the contrary, class of method based on evolutionary principles, is successfully used to solve this kind of problems with high level of precision. In this participation is discussed novelty method which has been successfully proved in the many of simulations. Typical examples like identification and synthesis of selected dynamical systems are discussed here.
  • Keywords
    evolutionary computation; identification; large-scale systems; time-varying systems; complex structures; complex systems control; complex systems identification; dynamical systems; evolutionary synthesis; Artificial immune systems; Computer languages; Control system synthesis; Databases; Evolutionary computation; Expert systems; Genetic programming; Humans; Informatics; Probability distribution; dynamical systems; evolutionary algorithms; symbolic regression; synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-3299-8
  • Type

    conf

  • DOI
    10.1109/DEXA.2008.85
  • Filename
    4624772