Title
Complete Boolean Satisfiability Solving Algorithms Based on Local Search
Abstract
Boolean satisfiability (SAT) is a well-known problem in computer science, artificial intelligence, and operations research. This paper focuses on the satisfiability problem of Model RB structure that is similar to graph coloring problems and others. We propose a translation method and three effective complete SAT solving algorithms based on the characterization of Model RB structure. We translate clauses into a graph with exclusive sets and relative sets. In order to reduce search depth, we determine search order using vertex weights and clique in the graph. The results show that our algorithms are much more effective than the best SAT solvers in numerous Model RB benchmarks, especially in those large benchmark instances.
Year
DOI
Venue
2013
10.1007/s11390-013-1326-4
J. Comput. Sci. Technol.
Keywords
Field
DocType
clique,complete search,Boolean satisfiability,set,local search
Maximum satisfiability problem,WalkSAT,#SAT,Clique,Computer science,Boolean satisfiability problem,Algorithm,Local search (optimization),And-inverter graph,Graph coloring
Journal
Volume
Issue
ISSN
28
2
1860-4749
Citations 
PageRank 
References 
1
0.35
31
Authors
8
Name
Order
Citations
PageRank
Wensheng Guo1255.82
Guowu Yang230942.99
郭文生310.35
杨国武410.35
William N. N. Hung530434.98
William N. N. Hung630434.98
xiaoyu78212.85
xiaoyu88212.85