System-Level Synthesis of MEMS via Genetic
Programming and Bond Graphs
Z. Fan, K. Seo, J. Hu, R. Rosenberg, and E. Goodman. Genetic and Evolutionary Computation -- GECCO-2003, volume 2724 of LNCS, page 2058--2071. Chicago, Springer-Verlag, (12-16 July 2003)
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.
Genetic and Evolutionary Computation -- GECCO-2003
year
2003
month
12-16 July
pages
2058--2071
publisher
Springer-Verlag
series
LNCS
volume
2724
publisher_address
Berlin
isbn
3-540-40603-4
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)
%0 Conference Paper
%1 fan:2003:gecco
%A Fan, Zhun
%A Seo, Kisung
%A Hu, Jianjun
%A Rosenberg, Ronald C.
%A Goodman, Erik D.
%B Genetic and Evolutionary Computation -- GECCO-2003
%C Chicago
%D 2003
%E Cantú-Paz, E.
%E Foster, J. A.
%E Deb, K.
%E Davis, D.
%E Roy, R.
%E O'Reilly, U.-M.
%E Beyer, H.-G.
%E Standish, R.
%E Kendall, G.
%E Wilson, S.
%E Harman, M.
%E Wegener, J.
%E Dasgupta, D.
%E Potter, M. A.
%E Schultz, A. C.
%E Dowsland, K.
%E Jonoska, N.
%E Miller, J.
%I Springer-Verlag
%K Applications Real World algorithms, genetic programming,
%P 2058--2071
%T System-Level Synthesis of MEMS via Genetic
Programming and Bond Graphs
%V 2724
%X 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.
%@ 3-540-40603-4
@inproceedings{fan:2003:gecco,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Chicago},
author = {Fan, Zhun and Seo, Kisung and Hu, Jianjun and Rosenberg, Ronald C. and Goodman, Erik D.},
biburl = {https://www.bibsonomy.org/bibtex/2043627e09f0778febbff75ae0503e908/brazovayeye},
booktitle = {Genetic and Evolutionary Computation -- GECCO-2003},
editor = {Cant{\'u}-Paz, E. and Foster, J. A. and Deb, K. and Davis, D. and Roy, R. and O'Reilly, U.-M. and Beyer, H.-G. and Standish, R. and Kendall, G. and Wilson, S. and Harman, M. and Wegener, J. and Dasgupta, D. and Potter, M. A. and Schultz, A. C. and Dowsland, K. and Jonoska, N. and Miller, J.},
interhash = {781013f8933b2ad3d35ee6c5f395bc21},
intrahash = {043627e09f0778febbff75ae0503e908},
isbn = {3-540-40603-4},
keywords = {Applications Real World algorithms, genetic programming,},
month = {12-16 July},
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)},
pages = {2058--2071},
publisher = {Springer-Verlag},
publisher_address = {Berlin},
series = {LNCS},
timestamp = {2008-06-19T17:39:25.000+0200},
title = {System-Level Synthesis of {MEMS} via Genetic
Programming and Bond Graphs},
volume = 2724,
year = 2003
}