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

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Lu, Qibing^{a; *} | Wang, Pan^{b; *} | Guo, Sihai^{b; *} | Sheng, Buyun^a | Liu, Xingxing^b | Fan, Zhun^{a; c}

Affiliations: [a] Hubei Digital Manufacturing Key Laboratory, School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China | [b] Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China | [c] School of Engineering, Shantou University, Shantou, China

Correspondence: [*] Address for correspondence: Qibing Lu, Hubei Digital Manufacturing Key Laboratory, School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China. Tel.: +86 13429816020; Fax: +86-27-87859049; E-mail: [email protected]. Pan Wang, Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China. Tel.: +86-27-87858435; Fax: +86-27-87859049; E-mail: [email protected]. Sihai Guo, Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China. Tel.: +86-27-87858435; Fax: +86-27-87859049; E-mail: [email protected].

Note: [1] This study was supported by National Natural Science Foundation of China (No. 71371148, 61175073).

Keywords: Genetic programming (GP), bond graph (BG), micro-resonator, evolutionary computation

DOI: 10.3233/BME-151471

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1711-S1719, 2015