DocumentCode :
1268574
Title :
Searching optimal ROBDDs using methodologies based on evolutionary algorithms
Author :
Pulido, J. A Gómez ; Pérez, J. M Sànchez
Author_Institution :
Dept. of Comput. Sci., Univ. of Extramadura, Spain
Volume :
146
Issue :
4
fYear :
1999
fDate :
8/1/1999 12:00:00 AM
Firstpage :
164
Lastpage :
168
Abstract :
Reduced and ordered binary decision diagrams (ROBDDs) are compact data structures used for representing logic functions. The ROBDD size is very sensitive to the chosen variable ordering of the logical function. The authors propose a methodology based on simulated annealing (SA) algorithms and on genetic algorithms (GAs) for optimising ROBDDs
Keywords :
binary decision diagrams; data structures; genetic algorithms; logic CAD; simulated annealing; ROBDD size; data structures; evolutionary algorithms; genetic algorithms; logic functions; optimal ROBDDs; reduced and ordered binary decision diagrams; simulated annealing; variable ordering;
fLanguage :
English
Journal_Title :
Circuits, Devices and Systems, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2409
Type :
jour
DOI :
10.1049/ip-cds:19990439
Filename :
803790
Link To Document :
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