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EMA-FPRMs: An efficient minimization algorithm for fixed polarity reed-muller expressions

  • Beihang University
  • Chinese Academy of Sciences
  • National Engineering Research Center for Science

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Fixed polarity Reed-Muller expressions (FPRMs) are well-suited for many practical applications due to they have many excellent properties. In order to obtain an optimal FPRM with fewest product terms, we propose an efficient minimization algorithm (EMA-FPRMs) for FPRMs. The main idea behind the EMA-FPRMs is that, firstly, the incompletely specified Boolean function is transformed into the zero polarity incompletely specified fixed polarity RM expression (ISFPRM) by using the proposed ISFPRM acquisition algorithm; secondly, the polarity and allocation of don't care terms of ISFPRM is encoded as chromosome; lastly, the optimal FPRM with fewest product terms is obtained by using genetic algorithm (GA), in which the FPRM that corresponds to the given chromosome is obtained by using the proposed chromosome conversion algorithm. The experimental results on MCNC benchmark circuits show that compared with the traditional polarity optimization approach which neglects the don't care terms, the EMA-FPRMs is highly effective in minimizing the number of product terms of FPRMs. Moreover, the EMA-FPRMs is faster than the GA based minimization algorithm which also considers the don't care terms.

源语言英语
主期刊名Proceedings of the 2016 International Conference on Field-Programmable Technology, FPT 2016
编辑Junbao Li, Yuchen Song, Yu Peng, Brent Nelson, Shaojun Wang
出版商Institute of Electrical and Electronics Engineers Inc.
253-256
页数4
ISBN(电子版)9781509056026
DOI
出版状态已出版 - 15 5月 2017
活动15th International Conference on Field-Programmable Technology, FPT 2016 - Xi'an, 中国
期限: 7 12月 20169 12月 2016

出版系列

姓名Proceedings of the 2016 International Conference on Field-Programmable Technology, FPT 2016

会议

会议15th International Conference on Field-Programmable Technology, FPT 2016
国家/地区中国
Xi'an
时期7/12/169/12/16

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