首页|POA-FPRMs: Power Optimization Approach of Fixed Polarity Reed-Muller Expressions for Incompletely Specified Boolean Functions

POA-FPRMs: Power Optimization Approach of Fixed Polarity Reed-Muller Expressions for Incompletely Specified Boolean Functions

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Fixed polarity Reed-Muller (RM) expression (FPRM) has several practical applications due to its multitude of properties.In order to generate an FPRM with minimum power,based on a genetic algorithm,we propose a Power optimization approach (POA-FPRMs) of Fixed Polarity RM expressions for incompletely specified Boolean functions.Simulation results on MCNC benchmark circuits show that POA-FPRMs can effectively reduce power,compared with the traditional polarity optimization approach,where the don't care terms are neglected.

Fixed polarity Reed-Muller (RM) expression (FPRM)Genetic algorithmPower optimizationBoolean functions

HE Zhenxue、XIAO Limin、HUO Zhisheng、WANG Chao、LIU Jia、WANG Xiang

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School of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China

School of Computer Science and Engineering, Beihang University, Beijing 100191, China

School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

This work is supported by the Introducing Talent Research Project of Hebei Agricultural UniversityHebei Youth Talents Support ProjectNational Science Foundation of ChinaNational Science Foundation of ChinaNational Science Foundation of ChinaNational Science Foundation of ChinaNational Science Foundation of ChinaChina Postdoctoral Science FoundationScientific Science and Technology Research Projects of Universities in HebeiProject of Hebei Natural Science Foundation

YJ201829BJ201900861772053No.60973106No.61232009No.81571142No.318017822018M641154BJ2018012G201804093

2019

10.1049/cje.2019.07.009

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(6)
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