期刊文献+

基于M-GEP的可逆逻辑综合方法研究

Reversible Logic Synthesis Method Based on Gene Expression Programming of Multilayer Chromosomes
下载PDF
导出
摘要 可逆逻辑综合是设计和实现可逆逻辑电路的基础和难点。将改进的基于多层染色体基因表达式编程算法应用到可逆逻辑电路的综合与优化中,利用多层染色体构建的调用模型对个体进行表达,可根据预期的逻辑功能,自动求取便于构造可逆逻辑网络的最简"积之异或和"表达式。经初步验证,在解决可逆逻辑电路的多输入单输出的问题上,比现有的综合方法更有效。 Reversible logic synthesis is the basis and difficulty of design and implementation of reversible logic circuits. An improved algorithm based on gene expression programming of multilayer chromosomes is applied to synthesis and optimization of reversible logic circuits. Individuals are expressed by multi-layer chromosome construction call model,it can automatically obtain the most simple " exclusive-OR sum" expression of the reversible logic network according to the anticipated logic function. After preliminary verification,in solving the problem of multiple-input single-output of the reversible logic circuit,of the integrated approach more effective.
出处 《电子科技》 2017年第11期4-8,共5页 Electronic Science and Technology
基金 国家自然科学基金(61272224) 上海市教委科研创新重点项目(14ZZ068)
关键词 多层染色体基因表达式编程 可逆逻辑综合 积之异或和 C语言编程实现 multilayer chromosome gene expression programming XOR sum of reversible logic synthesis product C language programming
  • 相关文献

参考文献3

二级参考文献26

  • 1彭京,唐常杰,李川,陈安龙,胡建军.一种基于UD-Tree的分布式数据库新型复制架构[J].小型微型计算机系统,2004,25(12):2065-2069. 被引量:5
  • 2彭京,唐常杰,胡建军,陈安龙,李川.DIRM:基于动态信息路由的数据检索模型[J].四川大学学报(工程科学版),2005,37(1):108-115. 被引量:9
  • 3[日]玄光男 程润伟 等.遗传算法与工程设计[M].北京:科学出版社,2000..
  • 4Ferreira C.. Discovery of the Boolean functions to the best density-classification rules using gene expression programming. In:Lutton E. et al. eds.. Proceedings of the 4th European Conference on Genetic Programming. Lecture Notes in Computer Science 2278. Berlin: Springer-Verlag, 2002, 51~60.
  • 5Ferreira C.. Analyzing the founder effect in simulated evolutionary processes using gene expression programming. In: Abraham A., Ruiz-del-Solar J., Kpen M. eds.. Soft Computing Systems: Design, Management and Applications. Netherlands: IOS Press, 2002,153~162.
  • 6Ferreira C.. Function finding and the creation of numerical constants in gene expression programming. In: Benitez J.M. et al. eds.. Advances in Soft Computing: Engineering Design and Maufacturing. Springer-Verlag, 2003, 257~266.
  • 7Zuo Jie, Tang Chang-Jie, Zhang Tian-Qing. Mining predicate association rule by gene expression programming. In: Meng Xiao-Feng, Su Jian-Wen, Wang Yu-Jun eds.. Proceedings of the International Conference for Web Information Age 2002. Lecture Notes in Computer Science 2419. Berling Heidelberg: Springer-Verlag, 2002, 92~103.
  • 8De Garis H. Evolvable hardware: The genetic programming of Darwin machines. In: Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, Innsbruck, Austria, 1993, 441~449.
  • 9Ferreira C.. Gene expression programming: A new adaptive algorithm for solving problems. Complex Systems, 2001, 13 (2): 87~129.
  • 10Ferreira C.. Gene Expression Programming.First Edition. Portugal: Angra do Heroismo, 2002.

共引文献255

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部