Structured synthesis of MEMS using evolutionary approaches
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- @Article{Fan2008579,
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author = "Zhun Fan and Jiachuan Wang and Sofiane Achiche and
Erik Goodman and Ronald Rosenberg",
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title = "Structured synthesis of {MEMS} using evolutionary
approaches",
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journal = "Applied Soft Computing",
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volume = "8",
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number = "1",
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pages = "579--589",
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year = "2008",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2007.04.001",
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URL = "http://www.sciencedirect.com/science/article/B6W86-4NWCGRR-6/2/6d147c9eb8cc9af8eec68e592dfd22f",
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keywords = "genetic algorithms, genetic programming, MEMS
synthesis, Genetic programming, Bond graphs, Genetic
algorithm",
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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
Citations