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Automated synthesis of mechanical vibration absorbers using genetic programming

Published online by Cambridge University Press:  12 June 2008

Jianjun Hu ,
Erik D. Goodman ,
Shaobo Li  and
Ronald Rosenberg
Jianjun Hu
Affiliation:
Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina, USA
Erik D. Goodman
Affiliation:
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
Shaobo Li
Affiliation:
Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Caijiaguan, Guiyang, People's Republic of China
Ronald Rosenberg
Affiliation:
Department of Mechanical Engineering, Michigan State University, East Lansing, Michigan, USA
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Abstract

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 and bond graphs. It is shown that our automated design system can automatically evolve passive vibration absorbers that have performance equal to or better than the standard passive vibration absorbers invented in 1911. A variety of other vibration absorbers with competitive performance are also evolved automatically using a desktop PC in less than 10 h.

Keywords

Automated DesignBond GraphsConceptual DesignEvolutionary DesignGenetic Programming
Type
Research Article
Information
AI EDAM , Volume 22 , Issue 3 , August 2008 , pp. 207 - 217
Copyright
Copyright © Cambridge University Press 2008

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