

浏览全部资源
扫码关注微信
宁波大学信息科学与工程学院,浙江,宁波,315211
Published Online:25 May 2018,
Published:2018
移动端阅览
A Novel Method For Large ISPFRM Function Optimization[J]. Acta Electronica Sinica, 2018, 46(5): 1101-1106.
A Novel Method For Large ISPFRM Function Optimization[J]. Acta Electronica Sinica, 2018, 46(5): 1101-1106. DOI: 10.3969/j.issn.0372-2112.2018.05.012.
针对以往在ISFPRM优化过程中只能处理小规模电路的不足,提出了一种新的乘积项十进制表示和处理方法来实现大电路ISFPRM面积优化.具体包括:ISFPRM多位变量的十进制数表示,基于二进制插值的极性转换方法,以及基于整数的位运算遗传算法实现ISFPRM面积优化.提出的算法能有效地避免以往算法在处理输入较多的函数时效率低下甚至无法工作的情况,算法的性能用MCNC标准电路作为测试.实验结果表明,提出的算法可以处理输入变量个数为199个的大电路,算法的速度对待处理电路的变量数不敏感特点,引入不确定项后,电路面积优化明显.
In view of the problems of the published methods of the ISPFRM functions optimization which couldn't deal with large functions
a novel method for large ISPFRM function optimization was proposed which consists of the representation of product term in integer form
the polarity conversion method using the binary interpolation
and the circuit area optimization of ISFPRM using the bit-wise operation and the genetic algorithm.The proposed algorithm could deal with those functions with large inputs effectively
and has been implemented in C and tested under MCNC benchmarks.The experimental results show that it can deal with the large function with 199 inputs
and the speed of the algorithm is not sensitive to the functions' polarity.After the introduction of DC terms
the circuit area is further optimized.
0
Views
142
下载量
2
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621