System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{fan:2003:gecco,
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author = "Zhun Fan and Kisung Seo and Jianjun Hu and
Ronald C. Rosenberg and Erik D. Goodman",
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title = "System-Level Synthesis of {MEMS} via Genetic
Programming and Bond Graphs",
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booktitle = "Genetic and Evolutionary Computation -- GECCO-2003",
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editor = "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and
D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and
R. Standish and G. Kendall and S. Wilson and
M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and
A. C. Schultz and K. Dowsland and N. Jonoska and
J. Miller",
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year = "2003",
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pages = "2058--2071",
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address = "Chicago",
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publisher_address = "Berlin",
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month = "12-16 " # jul,
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volume = "2724",
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series = "LNCS",
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ISBN = "3-540-40603-4",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Real World
Applications",
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DOI = "doi:10.1007/3-540-45110-2_103",
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abstract = "Initial results have been achieved for automatic
synthesis of MEMS system-level lumped parameter models
using genetic programming and bond graphs. This paper
first discusses the necessity of narrowing the problem
of MEMS synthesis into a certain specific application
domain, e.g., RF MEM devices. Then the paper briefly
introduces the flow of a structured MEMS design process
and points out that system-level lumped-parameter model
synthesis is the first step of the MEMS synthesis
process. Bond graphs can be used to represent a
system-level model of a MEM system. As an example,
building blocks of RF MEM devices are selected
carefully and their bond graph representations are
obtained. After a proper and realizable function set to
operate on that category of building blocks is defined,
genetic programming can evolve both the topologies and
parameters of corresponding RF MEM devices to meet
predefined design specifications. Adaptive fitness
definition is used to better direct the search process
of genetic programming. Experimental results
demonstrate the feasibility of the approach as a first
step of an automated MEMS synthesis process. Some
methods to extend the approach are also discussed.",
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notes = "GECCO-2003. A joint meeting of the twelfth
International Conference on Genetic Algorithms
(ICGA-2003) and the eighth Annual Genetic Programming
Conference (GP-2003)",
- }
Genetic Programming entries for
Zhun Fan
Kisung Seo
Jianjun Hu
Ronald C Rosenberg
Erik Goodman
Citations