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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun-Cheng Yang Shu-Xia Li Jin-Yan Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Computer Science, Northeast Normal University, Changchun 130117, China (Shu-Xia Li; Jin-Yan Wang) || Dept. of Computer Engineering, Henan Polytechnic Institute, Nanyang 473009, China (Jun-Cheng Yang) |
| Abstract | Backdoor sets of SAT problem can quickly decide the satisfiability of real-world SAT instances, and the QBF problem is the generalization of SAT problem, so backdoor sets of QBF are crucial to its solution. We propose a new algorithm of computing QHorn deletion backdoor sets in this paper, which contains two stages. Firstly, we compute renamed QBF formula according to the largest renamable Rmax of matrix of QBF formula, here only existent variables are renamed. Then the RQHorn deletion backdoor sets of the renamed QBF formula are computed. Furthermore, we illustrate the advantages of our algorithm through several real-world QBF instances. |
| File Size | 188050 |
| File Format | |
| ISBN | 9781424458219 |
| e-ISBN | 9781424458240 |
| DOI | 10.1109/ICFCC.2010.5497649 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Boolean functions backdoor sets quantified boolean formula renamable Horn clause Polynomials Acceleration propositional satisfiability problem Computational complexity Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
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