Huang Ching-Huei, Jan Horn-Yong, Lin Chun-Liang, Lee Chia-Soon
Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, ROC.
ISA Trans. 2009 Jul;48(3):254-63. doi: 10.1016/j.isatra.2009.01.006. Epub 2009 Feb 27.
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).
提出了一种具有电子 - 离子相互作用势（EIIP）解码方案的DNA计算算法（DNACA）来识别一类传递函数。DNACA包括酶和病毒算子，它们提供了一个高度模块化、灵活且准确的自组织结构环境。基于德容测试函数的仿真研究表明，与改进的和标准的遗传算法（GA）相比，它具有优越的性能。
