• DocumentCode
    2605387
  • Title

    Modeling hierarchical genetic strategy as a Lindenmayer system

  • Author

    Kolodziej, Joanna

  • Author_Institution
    Inst. of Math., Univ. of Bielsko-Biala, Poland
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    409
  • Lastpage
    414
  • Abstract
    A hierarchical genetic strategy is an effective tool in solving ill posed global optimization problems. We use a context-sensitive stochastic Lindenmayer system to describe the structure of HGS. The results of simple numerical experiments are reported. We try to use this strategy in robot motion planning.
  • Keywords
    context-sensitive grammars; genetic algorithms; mobile robots; path planning; L systems; context-sensitive stochastic Lindenmayer system; genetic algorithms; grammar; hierarchical genetic strategy modeling; ill posed global optimization problems; numerical experiments; robot motion planning; Algorithm design and analysis; Genetic algorithms; Mathematical model; Mathematics; Motion planning; Optimization methods; Robot motion; Stochastic systems; Strategic planning; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Computing in Electrical Engineering, 2002. PARELEC '02. Proceedings. International Conference on
  • Print_ISBN
    0-7695-1730-7
  • Type

    conf

  • DOI
    10.1109/PCEE.2002.1115312
  • Filename
    1115312
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2605387