A genetic algorithm for the minimization of OPKFDDs

被引:0
|
作者
Jung, M [1 ]
Lee, G
Park, S
Drechsler, R
机构
[1] Chonnam Natl Univ, Dept Comp Sci, Kwangju, South Korea
[2] Chonnam Natl Univ, Informat & Telecommun Res Inst, Kwangju, South Korea
[3] Hanyang Univ, Sch Elect Engn & Comp Sci, Ansan, South Korea
[4] Siemens AG, Corp Technol, D-81730 Munich, Germany
关键词
OBDD; OPKFDD; GA; variable ordering; decomposition;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
OPKFDDs (Ordered Pseudo-Kronecker Functional Decision Diagrams) are a data structure that provides compact representation of Boolean functions. The size of OPKFDDs depends on a variable ordering and on decomposition type choices. Finding an optimal representation is very hard and the size of the search space is n! (.) 3(2n-1), where n is the number of input variables. To overcome the huge search space of the problem, a genetic algorithm is proposed for the generation of OPKFDDs with minimal number of nodes.
引用
收藏
页码:2943 / 2945
页数:3
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