Hierarchical Evolutionary Synthesis of MEMS

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@InProceedings{fan:2004:hesom,
  title =        "Hierarchical Evolutionary Synthesis of MEMS",
  author =       "Zhun Fan and Erik Goodman and Jiachuan Wang and 
                 Ronald Rosenberg and Kisung Seo and Jianjun Hu",
  pages =        "2320--2327",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
                 Computation",
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 design \& evolvable hardware, Real-world applications",
  DOI =          "doi:10.1109/CEC.2004.1331187",
  abstract =     "In this paper, we discuss the hierarchy that is
                 involved in a typical MEMS design and how evolutionary
                 approaches can be used to automate the hierarchical
                 design and synthesis process for MEMS. At the system
                 level, the approach combining bond graphs and genetic
                 programming can lead to satisfactory design candidates
                 of system level models that meet the predefined
                 behavioral specifications for designers to tradeoff. At
                 the physical layout synthesis level, the selection of
                 geometric parameters for component devices is
                 formulated as a constrained optimization problem and
                 addressed using a constrained GA approach. A
                 multiple-resonator microsystem design is used to
                 illustrate the integrated design automation idea using
                 evolutionary approaches.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for Zhun Fan Erik Goodman Jiachuan Wang Ronald C Rosenberg Kisung Seo Jianjun Hu

Citations