Application of an evolutionary algorithm in the optimal design of micro-sensor

This paper introduces an automatic bond graph design method based on genetic programming for the evolutionary design of micro-resonator. First, the system-level behavioral model is discussed, which based on genetic programming and bond graph. Then, the geometry parameters of components are automatic...

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Published inBio-medical materials and engineering Vol. 26 Suppl 1; no. s1; pp. S1711 - S1719
Main Authors Lu, Qibing, Wang, Pan, Guo, Sihai, Sheng, Buyun, Liu, Xingxing, Fan, Zhun
Format Journal Article
LanguageEnglish
Published Netherlands 01.01.2015
Subjects
Algorithms
Biosensing Techniques - instrumentation
Computer-Aided Design
Conductometry - instrumentation
Equipment Design
Equipment Failure Analysis
Evolution, Molecular
Immunoassay - instrumentation
Micro-Electrical-Mechanical Systems - instrumentation
Models, Genetic
Reproducibility of Results
Sensitivity and Specificity
evolutionary computation
bond graph (BG)
micro-resonator
Genetic programming (GP)
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Summary:This paper introduces an automatic bond graph design method based on genetic programming for the evolutionary design of micro-resonator. First, the system-level behavioral model is discussed, which based on genetic programming and bond graph. Then, the geometry parameters of components are automatically optimized, by using the genetic algorithm with constraints. To illustrate this approach, a typical device micro-resonator is designed as an example in biomedicine. This paper provides a new idea for the automatic optimization design of biomedical sensors by evolutionary calculation.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0959-2989
1878-3619
DOI:10.3233/BME-151471