DocumentCode :
3511846
Title :
Minimization of OPKFDDs using genetic algorithms
Author :
Jung, M. ; Lee, G. ; Park, S. ; Drechsler, R.
Author_Institution :
Dept. of Comput. Sci., Chonnam Nat. Univ., Kwangju, South Korea
fYear :
2001
fDate :
2001
Firstpage :
72
Lastpage :
78
Abstract :
OPKFDDs (Ordered Pseudo-Kronecker Functional Decision Diagrams) are one of ordered-DDs (Decision Diagrams) in which each node can take one of three decomposition types: Shannon, positive Davio and negative Davio. OPKFDDs provide representations of Boolean functions with smaller number of nodes than other DDs. Since an appropriate decomposition type has to be chosen for each node, the size of the representation is decided by the selection of the decomposition type as well as the variable ordering of the diagram. To overcome the huge search space for an optimal solution, a genetic algorithm is proposed to generate OPKFDDs with the minimal number of nodes with experimental results
Keywords :
Boolean functions; binary decision diagrams; logic design; minimisation; Boolean functions; OPKFDDs minimisation; genetic algorithms; ordered pseudo-Kronecker functional decision diagrams; ordered-DDs; search space; Boolean functions; Computer science; Data structures; Design automation; Field programmable gate arrays; Genetic algorithms; Input variables; Logic design; Logic testing; Minimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Systems Design, 2001. Proceedings. Euromicro Symposium on
Conference_Location :
Warsaw
Print_ISBN :
0-7695-1239-9
Type :
conf
DOI :
10.1109/DSD.2001.952120
Filename :
952120
Link To Document :
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