%0 Journal Article
%T Discrete ternary particle swarm optimization for area optimization of MPRM circuits<br>基于离散三值粒子群算法的MPRM电路面积优化
%A Yu Haizhen
%A Wang Pengjun
%A Wang Disheng
%A Zhang Huihong
%A <br>俞海珍
%A 汪鹏君
%A 汪迪生
%A 张会红
%J 半导体学报
%D 2013
%I 
%X Having the advantage of simplicity, robustness and low computational costs, the particle swarm optimization (PSO) algorithm is a powerful evolutionary computation tool for synthesis and optimization of Reed-Muller logic based circuits. Exploring discrete PSO and probabilistic transition rules, the discrete ternary particle swarm optimization (DTPSO) is proposed for mixed polarity Reed-Muller (MPRM) circuits. According to the characteristics of mixed polarity OR/XNOR expression, a tabular technique is improved, and it is applied in the polarity conversion of MPRM functions. DTPSO is introduced to search the best polarity for an area of MPRM circuits by building parameter mapping relationships between particles and polarities. The computational results show that the proposed DTPSO outperforms the reported method using maxterm conversion starting from POS Boolean functions. The average saving in the number of terms is about 11.5%; the algorithm is quite efficient in terms of CPU time and achieves 12.2% improvement on average.
%K area optimization
%K DTPSO algorithm
%K MPRM circuits
%K polarity conversion<br>面积优化
%K DTPSO算法
%K MPRM电路
%K 极性转换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=025C8057C4D37C4BA0041DC7DE7C758F&aid=4D6BB6A422263A45A225B310C27F544C&yid=FF7AA908D58E97FA&vid=339D79302DF62549&iid=0B39A22176CE99FB&sid=8A9694802F6DD21A&eid=B31275AF3241DB2D&journal_id=1674-4926&journal_name=半导体学报&referenced_num=0&reference_num=18