Application of an evolutionary algorithm in the optimal design of micro-sensor
Source abstract
Abstract
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.
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Research context
OpenAlex topics: Advanced MEMS and NEMS Technologies · Evolutionary Algorithms and Applications · Sensor Technology and Measurement Systems
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Affiliations
Hubei Digital Manufacturing Key Laboratory, School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China
Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China
School of Engineering, Shantou University, Shantou, China
References
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