An Effective Power Optimization Approach Based on Whale Optimization Algorithm with Two-Populations and Mutation Strategies

扫码查看

原文链接

万方数据

外文摘要：Power is an issue that must be considered in the design of logic circuits.Power optimization is a com-binatorial optimization problem,since it is necessary to search for a logical expression that consumes the least amount of power from a large number of Reed-Muller(RM)logical expressions.The existing approach for optimizing the power of multi-output mixed polarity RM(MPRM)logic circuits suffer from poor optimization results.To solve this problem,a whale optimization algorithm with two-populations strategy and mutation strategy(TMWOA)is proposed in this paper.The two-populations strategy speeds up the convergence of the algorithm by exchanging in-formation about the two-populations.The mutation strategy enhances the ability of the algorithm to jump out of the local optimal solutions by using the information of the current optimal solution.Based on the TMWOA,we propose a multi-output MPRM logic circuits power optimization approach(TMMPOA).Experiments based on the benchmark circuits of the Microelectronics Center of North Carolina(MCNC)validate the effectiveness and superiority of the proposed TMMPOA.

外文关键词：

Multi-output mixed polarity Reed-MullerPower optimizationCombinatorial optimization prob-lemWhale optimization algorithmTwo-populations strategyMutation strategy

作者：

Juncai HE、Zhenxue HE、Jia LIU、Yan ZHANG、Fan ZHANG、Fangfang LIANG、Tao WANG、Limin XIAO、Xiang WANG

展开 >

作者单位：

Hebei Agricultural University,Baoding 071001,China

Beijing Information Science and Technology University,Beijing 100192,China

School of Computer Science and Engineering,Beihang University,Beijing 100091,China

School of Electronic and Information Engineering,Beihang University,Beijing 100091,China

展开 >

基金：

National Natural Science Foundation of ChinaCentral Government Guides Local Science and Technology Development Fund ProjectNatural Science Foundation of Hebei ProvinceHebei Youth Talents Support ProjectScience and Technology Research Projects of Higher Education Institutions in Hebei ProvinceBasic Scientific Research Funds Research Project of Hebei Provincial Colleges and UniversitiesKey R&D Program of Hebei Province

项目编号：

62102130226Z0201GF2020204003BJ2019008QN2022095KY202207321327407D

出版年：

2024

DOI：

10.23919/cje.2022.00.358

电子学报(英文)

CSTPCDEI

ISSN：1022-4653

年,卷(期)：2024.33(2)

参考文献量33