Notice of RetractionSearch for the best polarity of fixed polarity Reed Muller expression base on QGA

Wenjin Wu, Pengjun Wang, Xiao-ying Zhang, Lingli Wang
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引用次数: 1

Abstract

Based on the investigation of the fixed polarity Reed Muller (FPRM) expression, the propagation algorithm of signal probability, decomposition algorithm of multi-input AND/XOR gate of RM circuits and quantum genetic algorithm (QGA), this paper proposes a new algorithm based on QGA to search for the best polarity of RM circuits in terms of the power and area. Experimental results of eight large circuits from MCNC benchmark show that the best polarity obtained by the proposed algorithm can achieve average power and area savings by 86.2% and 66.8% respectively, compared with polarity 0.
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搜索基于QGA的固定极性Reed Muller表达式的最佳极性
在研究固定极性Reed Muller (FPRM)表达式、信号概率传播算法、RM电路多输入AND/XOR门分解算法和量子遗传算法(QGA)的基础上,提出了一种基于QGA的从功率和面积两方面搜索RM电路最佳极性的新算法。MCNC基准8个大型电路的实验结果表明,该算法获得的最佳极性与极性0相比,平均功耗和面积分别节省86.2%和66.8%。
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