NDLI: Toward good elimination orders for symbolic SAT solving

Content Provider	IEEE Xplore Digital Library
Author	Huang, J. Darwiche, A.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA (Huang, J.; Darwiche, A.)
Abstract	Fundamentally different from DPLL, a new approach to SAT has recently emerged that abandons search and enlists BDDs to symbolically represent clauses of the CNF. These BDDs are conjoined according to a schedule where some variables may be eliminated by quantification at each step to reduce the size of the intermediate BDDs. SAT solving then reduces to checking whether the final BDD is the zero constant. For this approach to be practical, finding a good quantification schedule is critical. We study the use of a variable elimination algorithm for this purpose, as well as two specific methods for the generation of good elimination orders based on CNF structure. While neither method appears to dominate, we show how one can heuristically select the better using the notion of width. We implement a symbolic SAT solver based on these techniques and evaluate its efficiency and robustness on a set of benchmarks against five other solvers, each having unique characteristics, including winners of the most recent SAT competition.
Sponsorship	IEEE Comput. Soc.
Starting Page	566
Ending Page	573
File Size	150056
Page Count	8
File Format	PDF
ISBN	076952236X
ISSN	10823409
DOI	10.1109/ICTAI.2004.115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data structures Boolean functions Computer science Binary decision diagrams Processor scheduling Robustness Complexity theory Application software Performance analysis Artificial intelligence
Content Type	Text
Resource Type	Article

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