Structured synthesis of MEMS using evolutionary approaches

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  author =       "Zhun Fan and Jiachuan Wang and Sofiane Achiche and 
                 Erik Goodman and Ronald Rosenberg",
  title =        "Structured synthesis of MEMS using evolutionary
  journal =      "Applied Soft Computing",
  volume =       "8",
  number =       "1",
  pages =        "579--589",
  year =         "2008",
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2007.04.001",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, MEMS
                 synthesis, Genetic programming, Bond graphs, Genetic
  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
                 synthesis process for MEMS. The paper first introduces
                 the flow of a structured MEMS design process and
                 emphasizes that system-level lumped-parameter model
                 synthesis is the first step of the MEMS synthesis
                 process. At the system level, an approach combining
                 bond graphs and genetic programming can lead to
                 satisfactory design candidates as system-level models
                 that meet the predefined behavioral specifications for
                 designers to trade off. Then at the physical layout
                 synthesis level, the selection of geometric parameters
                 for component devices and other design variables is
                 formulated as a constrained optimization problem and
                 addressed using a constrained genetic algorithm
                 approach. A multiple-resonator microsystem design is
                 used to illustrate the integrated design automation
                 idea using these evolutionary approaches.",

Genetic Programming entries for Zhun Fan Jiachuan Wang Sofiane Achiche Erik Goodman Ronald C Rosenberg