Adaptive hardware evolution under unpredictable environmental changes

J. W. Wee, T. Park, Chong-Ho Lee
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引用次数: 2

Abstract

This paper suggests new methods for hardware evolution (evolvable hardware, EHW) where the hardware structure is adaptable to the environment. The hardware structure is evolved in real-time by genetic algorithm to obtain a desired function of the digital circuit. In order to operate the EHW efficiently by using genetic algorithm processor (GAP), an encoding technique is employed. Proposed encoding technique shortens the chromosome length and increases the processing speed, as well. Some combinational circuits have been evolved successfully on XC6216 FPGA intrinsically.
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不可预测环境变化下的自适应硬件进化
本文提出了一种新的硬件进化方法(可进化硬件,EHW),即硬件结构能够适应环境。采用遗传算法对硬件结构进行实时演化,得到数字电路的理想功能。为了利用遗传算法处理器(GAP)对EHW进行高效操作,采用了一种编码技术。所提出的编码技术缩短了染色体长度,提高了处理速度。在XC6216 FPGA上成功地实现了部分组合电路。
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