Solving difficult SAT instances in the presence of symmetry

Research in algorithms for Boolean satisfiability and their implementations [23, 6] has recently outpaced benchmarking efforts. Most of the classic DIMACS benchmarks [10] can be solved in seconds on commodity PCs. More recent benchmarks take longer to solve because of their large size, but are still...

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Vydané v:Annual ACM IEEE Design Automation Conference: Proceedings of the 39th conference on Design automation : New Orleans, Louisiana, USA; 10-14 June 2002 s. 731 - 736
Hlavní autori: Aloul, Fadi A., Ramani, Arathi, Markov, Igor L., Sakallah, Karem A.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: New York, NY, USA ACM 10.06.2002
Edícia:ACM Conferences
Predmet:
Applied sciences
Computing methodologies > Symbolic and algebraic manipulation > Symbolic and algebraic algorithms > Algebraic algorithms
Electronics
Exact sciences and technology
Integrated circuits
Integrated circuits by function (including memories and processors)
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
faster
search
instances
symmetry
speed-up
SAT
difficult
CNF
ISBN:1581134614, 9781581134612
ISSN:0738-100X
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Shrnutí:Research in algorithms for Boolean satisfiability and their implementations [23, 6] has recently outpaced benchmarking efforts. Most of the classic DIMACS benchmarks [10] can be solved in seconds on commodity PCs. More recent benchmarks take longer to solve because of their large size, but are still solved in minutes [25]. Yet, small and difficult SAT instances must exist because Boolean satisfiability is NP-complete.We propose an improved construction of symmetry-breaking clauses [9] and apply it to achieve significant speed-ups over current state-of-the-art in Boolean satisfiability. Our techniques are formulated as pre-processing and can be applied to any SAT solver without changing its source code. We also show that considerations of symmetry may lead to more efficient reductions to SAT in the routing domain.Our work articulates SAT instances that are unusually difficult for their size, including satisfiable instances derived from routing problems. Using an efficient implementation to solve the graph automorphism problem [18, 20, 22], we show that in structured SAT instances difficulty may be associated with large numbers of symmetries.
Bibliografia:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:1581134614
9781581134612
ISSN:0738-100X
DOI:10.1145/513918.514102