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

作　　者：Juncai HE Zhenxue HE Jia LIU Yan ZHANG Fan ZHANG Fangfang LIANG Tao WANG Limin XIAO Xiang WANG 

机构地区：[1]Hebei Agricultural University,Baoding 071001,China [2]Beijing Information Science and Technology University,Beijing 100192,China [3]School of Computer Science and Engineering,Beihang University,Beijing 100091,China [4]School of Electronic and Information Engineering,Beihang University,Beijing 100091,China

出　　处：《Chinese Journal of Electronics》2024年第2期423-435,共13页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.62102130);the Central Government Guides Local Science and Technology Development Fund Project(Grant No.226Z0201G);the Natural Science Foundation of Hebei Province(Grant No.F2020204003);the Hebei Youth Talents Support Project(Grant No.BJ2019008);the Science and Technology Research Projects of Higher Education Institutions in Hebei Province(Grant No.QN2022095);the Basic Scientific Research Funds Research Project of Hebei Provincial Colleges and Universities(Grant No.KY2022073);the Key R&D Program of Hebei Province(Grant No.21327407D).

摘　　要：Power is an issue that must be considered in the design of logic circuits.Power optimization is a combinatorial 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 information 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.

关 键 词：Multi-output mixed polarity Reed-Muller Power optimization Combinatorial optimization problem Whale optimization algorithm Two-populations strategy Mutation strategy. 

分 类 号：TN791[电子电信—电路与系统] TP18[自动化与计算机技术—控制理论与控制工程]