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Evolutionary computation applied to the tuning of MEMS gyroscopes
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Authors:
Didier Keymeulen
California Institute of Technology, Pasadena, CA
Wolfgang Fink
California Institute of Technology, Pasadena, CA
Michael I. Ferguson
California Institute of Technology, Pasadena, CA
Chris Peay
California Institute of Technology, Pasadena, CA
Boris Oks
California Institute of Technology, Pasadena, CA
Richard Terrile
California Institute of Technology, Pasadena, CA
Karl Yee
California Institute of Technology, Pasadena, CA
2005 Article
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· Downloads (6 Weeks): 4
· Downloads (12 Months): 26
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Published in:
· Proceeding
GECCO '05 Proceedings of the 2005 conference on Genetic and evolutionary computation
ACM
New York, NY
, USA
©2005
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ISBN:1-59593-010-8
doi>
10.1145/1068009.1068168
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GECCO '12
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Tags:
algorithms
design aids
dynamic hill climbing
evolvable hardware
genetic algorithms
gyroscope
mems
simulated annealing
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