A Genetic Algorithm for the Minimization of OPKFDDs

Migyoung JUNG  Gueesang LEE  Sungju PARK  Rolf DRECHSLER  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E85-A   No.12   pp.2943-2945
Publication Date: 2002/12/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: VLSI Design Technology and CAD
Keyword: 
OBDD,  OPKFDD,  GA,  variable ordering,  decomposition,  

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Summary: 
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! 32n-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.