System identification: DNA computing approach

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. Simul...

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Bibliographic Details
Published in:ISA transactions 2009-07, Vol.48 (3), p.254-263
Main Authors: Huang, Ching-Huei, Jan, Horn-Yong, Lin, Chun-Liang, Lee, Chia-Soon
Format: Article
Language:English
Subjects:
Algorithmics. Computability. Computer arithmetics
Algorithms
Applied sciences
Biomimetics - methods
Computer science
control theory
systems
Computer Simulation
Computers, Molecular
Control theory. Systems
DNA - genetics
DNA computing algorithm (DNACA)
Electron–ion interaction potential (EIIP)
Evolution, Molecular
Exact sciences and technology
Modelling and identification
Models, Genetic
Systems identification
Theoretical computing
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Description
Summary: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).
ISSN:0019-0578
1879-2022
DOI:10.1016/j.isatra.2009.01.006