DocumentCode :
1577710
Title :
Evolutionary algorithm approach for symbolic FSM traversals
Author :
Thornton, Mitchell A. ; Drechsler, Rolf
Author_Institution :
Mississippi State Univ., MS, USA
Volume :
2
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
506
Abstract :
State space traversal algorithms for finite state machine (FSM) models of synchronous sequential circuitry are used extensively in various formal verification approaches such as equivalence checking (EC) and model checking. Symbolic binary decision diagram (BDD) based approaches have allowed many FSM models to be verified due to the compact representations they provide. However, there still remain circuits for which the traversal cannot be carried out due to the size of the transition relation (TR) BDD becoming too large. Pruning algorithms designed to reduce the size of a BDD while maintaining as much functionality as possible are examined for here. These techniques are based upon evolutionary algorithms that have been shown to significantly reduce the size of BDD while retaining a large amount of functionality
Keywords :
binary decision diagrams; evolutionary computation; finite state machines; formal verification; logic CAD; sequential circuits; state-space methods; symbol manipulation; EC; TR BDD; equivalence checking; evolutionary algorithm; finite state machine models; formal verification; model checking; pruning algorithms; state space traversal algorithms; symbolic FSM traversals; symbolic binary decision diagram; synchronous sequential circuitry; transition relation BDD; Algorithm design and analysis; Automata; Binary decision diagrams; Boolean functions; Circuits; Data structures; Evolutionary computation; Formal verification; Hardware design languages; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-7080-5
Type :
conf
DOI :
10.1109/PACRIM.2001.953681
Filename :
953681
Link To Document :
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