System identification using DNA computing approach

Authors:
Ching-Huei Huang;Horn-Yong Jan;Chun-Liang Lin
Affiliations:
Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, R.O.C.;Graduate Institute of Electrical and Communications Engineering, Feng Chia University, Taichung, Taiwan, R.O.C.;Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, R.O.C.
Venue:
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2008

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Abstract

A DNA computing algorithm (DNACA) with an electron-ion interaction potential (EIIP) decoding scheme is proposed to identify a class of transfer functions. The DNACA includes enzyme and virus operators which provides a highly modular, flexible, and accurate self-organizing structure environment. Simulation study based on the De Jong's test functions show its superior performance when compared with the improved and standard genetic algorithms (GA).