中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
solving difficult sat problems by using obdds and greedy clique decomposition

文献类型:会议论文

作者Xu Yanyan ; Chen Wei ; Su Kaile ; Zhang Wenhui
出版日期2012
会议名称6th International Frontiers of Algorithmics Workshop, FAW 2012 and 8th International Conference on Algorithmic Aspects of Information and Management, AAIM 2012
会议日期May 14, 2012 - May 16, 2012
会议地点Beijing, China
关键词Algorithms Heuristic methods
页码259-268
中文摘要In this paper, we propose an OBDD-based algorithm called greedy clique decomposition, which is a new variable grouping heuristic method, to solve difficult SAT problems. We implement our algorithm and compare it with several state-of-art SAT solvers including Minisat, Ebddres and TTS. We show that with this new heuristic method, our implementation of an OBDD-based satisfiability solver can perform better for selected difficult SAT problems, whose conflict graphs possess a clique-like structure. © 2012 Springer-Verlag.
英文摘要In this paper, we propose an OBDD-based algorithm called greedy clique decomposition, which is a new variable grouping heuristic method, to solve difficult SAT problems. We implement our algorithm and compare it with several state-of-art SAT solvers including Minisat, Ebddres and TTS. We show that with this new heuristic method, our implementation of an OBDD-based satisfiability solver can perform better for selected difficult SAT problems, whose conflict graphs possess a clique-like structure. © 2012 Springer-Verlag.
收录类别EI
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
语种英语
ISSN号0302-9743
ISBN号9783642296994
源URL[http://ir.iscas.ac.cn/handle/311060/15692]  
专题软件研究所_软件所图书馆_会议论文
推荐引用方式
GB/T 7714
Xu Yanyan,Chen Wei,Su Kaile,et al. solving difficult sat problems by using obdds and greedy clique decomposition[C]. 见:6th International Frontiers of Algorithmics Workshop, FAW 2012 and 8th International Conference on Algorithmic Aspects of Information and Management, AAIM 2012. Beijing, China. May 14, 2012 - May 16, 2012.

入库方式: OAI收割

来源:软件研究所

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