• DocumentCode
    2794635
  • Title

    Evolutionary computation technologies for space systems

  • Author

    Terrile, Richard J. ; Adami, Christoph ; Aghazarian, Hrand ; Chau, Savio N. ; Dang, V.T. ; Ferguson, Michael I. ; Fink, Wolfgang ; Huntsberger, Terrance L. ; Klimeck, Gerhard ; Kordon, Mark A. ; Lee, Seungwon ; Allmen, Paul Von ; Xu, Joseph

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA
  • fYear
    2005
  • fDate
    5-12 March 2005
  • Firstpage
    4284
  • Lastpage
    4295
  • Abstract
    The Evolvable Computation Group, at NASA´s Jet Propulsion Laboratory, is tasked with demonstrating the utility of computational engineering and computer optimized design for complex space systems. The group is comprised of researchers over a broad range of disciplines including biology, genetics, robotics, physics, computer science and system design, and employs biologically inspired evolutionary computational techniques to design and optimize complex systems. Over the past two years we have developed tools using genetic algorithms, simulated annealing and other optimizers to improve on human design of space systems. We have further demonstrated that the same tools used for computer-aided design and design evaluation can be used for automated innovation and design. These powerful techniques also serve to reduce redesign costs and schedules
  • Keywords
    CAD; aerospace simulation; genetic algorithms; simulated annealing; Evolvable Computation Group; NASA; biology; complex space systems; computational engineering; computer optimized design; computer science; computer-aided design; evolutionary computation technologies; genetic algorithms; genetics; physics; robotics; simulated annealing; system design; Biology computing; Computational systems biology; Design engineering; Design optimization; Evolution (biology); Evolutionary computation; Genetics; Laboratories; Propulsion; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2005 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    0-7803-8870-4
  • Type

    conf

  • DOI
    10.1109/AERO.2005.1559733
  • Filename
    1559733