title: System identification: DNA computing approach.
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 provide a highly modular, flexible, and accurate self-organizing structure environment. Simulation study based on De Jong's test functions show its superior performance when compared with the improved and standard genetic algorithms (GAs).
authors.affiliation: Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, ROC.
authors.forename: Ching-Huei
authors.initials: CH
authors.lastname: Huang
authors.forename: Horn-Yong
authors.initials: HY
authors.lastname: Jan
authors.forename: Chun-Liang
authors.initials: CL
authors.lastname: Lin
authors.forename: Chia-Soon
authors.initials: CS
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D032701:Biomimetics / Q000379:methods*; D003198:Computer Simulation; D039301:Computers, Molecular; D004247:DNA / Q000235:genetics*; D019143:Evolution, Molecular; D008957:Models, Genetic
chemical_list: D004247:DNA