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).
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