Hierarchical Evolutionary Synthesis of MEMS
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{fan:2004:hesom,
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title = "Hierarchical Evolutionary Synthesis of MEMS",
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author = "Zhun Fan and Erik Goodman and Jiachuan Wang and
Ronald Rosenberg and Kisung Seo and Jianjun Hu",
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pages = "2320--2327",
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booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary
Computation",
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year = "2004",
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publisher = "IEEE Press",
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month = "20-23 " # jun,
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address = "Portland, Oregon",
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ISBN = "0-7803-8515-2",
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keywords = "genetic algorithms, genetic programming, Evolutionary
design \& evolvable hardware, Real-world applications",
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DOI = "doi:10.1109/CEC.2004.1331187",
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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
design and synthesis process for MEMS. At the system
level, the approach combining bond graphs and genetic
programming can lead to satisfactory design candidates
of system level models that meet the predefined
behavioral specifications for designers to tradeoff. At
the physical layout synthesis level, the selection of
geometric parameters for component devices is
formulated as a constrained optimization problem and
addressed using a constrained GA approach. A
multiple-resonator microsystem design is used to
illustrate the integrated design automation idea using
evolutionary approaches.",
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notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and
the IEE.",
- }
Genetic Programming entries for
Zhun Fan
Erik Goodman
Jiachuan Wang
Ronald C Rosenberg
Kisung Seo
Jianjun Hu
Citations