Automated synthesis of mechanical vibration absorbers using genetic programming

نویسندگان

  • Jianjun Hu
  • Erik D. Goodman
  • Shaobo Li
  • Ronald C. Rosenberg
چکیده

Conceptual innovation in mechanical engineering design has been extremely challenging compared to the wide applications of automated design systems in digital circuits. This paper presents an automated methodology for open-ended synthesis of mechanical vibration absorbers based on genetic programming (GP) and bond graphs (GPBG). It is shown that our automated design system can automatically evolve passive vibration absorbers that are close to, equal, or much better than the standard passive vibration absorbers invented in 1912. A variety of other vibration absorbers with competitive performance are also evolved automatically using a desktop PC in less than 10 hours.

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عنوان ژورنال:
  • AI EDAM

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2008