title: Application of an evolutionary algorithm in the optimal design of micro-sensor.
abstract: 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.
authors.affiliation: Hubei Digital Manufacturing Key Laboratory, School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China.
authors.forename: Qibing
authors.initials: Q
authors.lastname: Lu
authors.affiliation: Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China.
authors.forename: Pan
authors.initials: P
authors.lastname: Wang
authors.affiliation: Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China.
authors.forename: Sihai
authors.initials: S
authors.lastname: Guo
authors.affiliation: Hubei Digital Manufacturing Key Laboratory, School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China.
authors.forename: Buyun
authors.initials: B
authors.lastname: Sheng
authors.affiliation: Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China.
authors.forename: Xingxing
authors.initials: X
authors.lastname: Liu
authors.affiliation: Hubei Digital Manufacturing Key Laboratory, School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China.|School of Engineering, Shantou University, Shantou, China.
authors.forename: Zhun
authors.initials: Z
authors.lastname: Fan
mesh_terms: D000465:Algorithms; D015374:Biosensing Techniques / Q000295:instrumentation*; D017076:Computer-Aided Design; D003217:Conductometry / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D019143:Evolution, Molecular; D007118:Immunoassay / Q000295:instrumentation*; D055617:Micro-Electrical-Mechanical Systems / Q000295:instrumentation*; D008957:Models, Genetic; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Genetic programming (GP); bond graph (BG); evolutionary computation; micro-resonator