Benchmarks Description
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چکیده
It is accepted that random k-CNF and industrial SAT instances have a distinct nature. While random formulas can be easily generated on demand, the set of industrial instances, which encode real-world problems, is limited. The problem of generating realistic pseudo-industrial random instances is stated in [9, 6, 4] as one of the most important challenges for the next few years. The main motivation of this challenge is improving the process of development and test of SAT solvers, and their possible specialization. Industrial SAT formulas exhibit a clear community structure (i.e. high modularity Q) [1]. This means that, representing formulas as graphs, we can find a partition of the formula into communities with many edges between nodes of the same community (i.e., many clauses relating variables of the same community), and few edges connecting distinct communities. This property is very characteristic in real-world problems in contrast to randomly generated instances, where modularity is very low. In the context of SAT, it has been shown that the community structure is correlated with the runtime of CDCL SAT solvers [8]. Moreover, it has also been used to improve the performance of some solvers [7, 10].
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تاریخ انتشار 2015