• DocumentCode
    1063378
  • Title

    Hierarchical distributed genetic algorithms: a fuzzy logic controller design application

  • Author

    Kim, Jinwoo ; Zeigler, Bernard P.

  • Author_Institution
    Arizona Univ., Tucson, AZ, USA
  • Volume
    11
  • Issue
    3
  • fYear
    1996
  • fDate
    6/1/1996 12:00:00 AM
  • Firstpage
    76
  • Lastpage
    84
  • Abstract
    Unlike conventional genetic algorithms, HDGAs use a multiresolutional search scheme and change structure to achieve a goal. In this application, an HDGA investigates various configurations dynamically to find the optimal design of a fuzzy logic controller for a complex, unmanned, space-based plant
  • Keywords
    aerospace control; aerospace expert systems; artificial satellites; control system CAD; distributed algorithms; fuzzy control; fuzzy logic; genetic algorithms; intelligent control; intelligent design assistants; neurocontrollers; search problems; complex unmanned space-based plant; dynamic configuration investigation; fuzzy logic controller design application; hierarchical distributed genetic algorithms; multiresolutional search scheme; optimal design; Algorithm design and analysis; Artificial intelligence; Computational intelligence; Computer architecture; Distributed computing; Fuzzy logic; Genetic algorithms; Machine intelligence; Nonhomogeneous media; Optimal control;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.506756
  • Filename
    506756
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1063378