• DocumentCode
    2029084
  • Title

    An Automatic Technique to Synthesize Avionics Architecture

  • Author

    Chau, Savio ; Van Dang ; Xu, Joseph ; Lu, James

  • Author_Institution
    Jet Propulsion Lab.
  • fYear
    2006
  • fDate
    15-18 June 2006
  • Firstpage
    313
  • Lastpage
    316
  • Abstract
    In conventional avionics system design process, changing the avionics system architecture involves a large team of engineers and requires months to years of redesign time. This paper describes the avionics architecture tool (AST) developed by JPL that can automatically synthesize architecture for the avionics-system-on-a-chip. As the synthesis is based on genetic algorithm and driven by requirements that are imposed by the environment, the synthesized architecture can quickly adapt to environmental changes. Furthermore, the AST can also guarantee that the synthesized architecture is viable and workable through the use of viability tree
  • Keywords
    aerospace computing; avionics; genetic algorithms; high level synthesis; system-on-chip; avionics architecture tool; avionics-system-on-a-chip; genetic algorithm; system design; Aerospace electronics; Biological cells; Cost function; Design engineering; Encoding; Genetic algorithms; Laboratories; NASA; Propulsion; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems, 2006. AHS 2006. First NASA/ESA Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    0-7695-2614-4
  • Type

    conf

  • DOI
    10.1109/AHS.2006.19
  • Filename
    1638178