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    Papakonstantinou, Nikolaos Sierla, Seppo Charitoudi, Konstantinia O'Halloran, Bryan Karhela, Tommi Vyatkin, Valeriy and Turner, Irem 2014. Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). p. 1.

  • Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Volume 25, Issue 1
  • February 2011, pp. 41-55

Hierarchical component-based representations for evolving microelectromechanical systems designs

  • Ying Zhang (a1) and Alice M. Agogino (a2)
  • DOI:
  • Published online: 07 October 2010

In this paper we present a genotype representation method for improving the performance of genetic-algorithm-based optimal design and synthesis of microelectromechanical systems. The genetic algorithm uses a hierarchical component-based genotype representation, which incorporates specific engineering knowledge into the design optimization process. Each microelectromechanical system component is represented by a gene with its own parameters defining its geometry and the way it can be modified from one generation to the next. The object-oriented genotype structures efficiently describe the hierarchical nature typical of engineering designs. They also encode knowledge-based constraints that prevent the genetic algorithm from wasting time exploring inappropriate regions of the search space. The efficiency of the hierarchical component-based genotype representation is demonstrated with surface-micromachined resonator designs.

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Z. Fan , J. Wang , S. Achiche , E. Goodman , & R. Rosenberg (2008). Structured synthesis of MEMS using evolutionary approaches. Applied Soft Computing Journal 8(1), 579589.

B. Lee , & K. Saitou (2007). Assembly synthesis with subassembly partitioning for optimal in-process dimensional adjustability. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21(1), 3143.

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S. Narayanan , & S. Azarm (1999). On improving multiobjective genetic algorithms for design optimization. Structural Optimization 18, 146155.

M. Peysakhov , & W.C. Regli (2003). Using assembly representations to enable evolutionary design of lego structures. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 17(2), 155168.

N. Srinivas , & K. Deb (1995). Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation 2(3), 221248.

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  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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