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	Double configuration checking in stochastic local search for satisfiability
	Luo, Chuan (1) ; Cai, Shaowei (2) ; Wu, Wei (1) ; Su, Kaile (1)
	2014
会议名称	28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014
会议日期	July 27, 2014 - July 31, 2014
会议地点	Quebec City, QC, Canada
页码	2703-2709
通讯作者	Cai, Shaowei
中文摘要	Stochastic local search (SLS) algorithms have shown effectiveness on satisfiable instances of the Boolean satisfiability (SAT) problem. However, their performance is still unsatisfactory on random k-SAT at the phase transition, which is of significance and is one of the empirically hardest distributions of SAT instances. In this paper, we propose a new heuristic called DCCA, which combines two configuration checking (CC) strategies with different definitions of configuration in a novel way. We use the DCCA heuristic to design an efficient SLS solver for SAT dubbed DCCASat. The experiments show that the DCCASat solver significantly outperforms a number of state-of-the-art solvers on ex-tensive random k-SAT benchmarks at the phase transition. Moreover, DCCASat shows good performance on structured benchmarks, and a combination of DCCASat with a complete solver achieves state-of-the-art performance on structured benchmarks.
英文摘要	Stochastic local search (SLS) algorithms have shown effectiveness on satisfiable instances of the Boolean satisfiability (SAT) problem. However, their performance is still unsatisfactory on random k-SAT at the phase transition, which is of significance and is one of the empirically hardest distributions of SAT instances. In this paper, we propose a new heuristic called DCCA, which combines two configuration checking (CC) strategies with different definitions of configuration in a novel way. We use the DCCA heuristic to design an efficient SLS solver for SAT dubbed DCCASat. The experiments show that the DCCASat solver significantly outperforms a number of state-of-the-art solvers on ex-tensive random k-SAT benchmarks at the phase transition. Moreover, DCCASat shows good performance on structured benchmarks, and a combination of DCCASat with a complete solver achieves state-of-the-art performance on structured benchmarks.
收录类别	EI
会议录出版地	AI Access Foundation
语种	英语
ISBN号	9781577356806
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/16609]
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	Luo, Chuan ,Cai, Shaowei ,Wu, Wei ,et al. Double configuration checking in stochastic local search for satisfiability[C]. 见:28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014. Quebec City, QC, Canada. July 27, 2014 - July 31, 2014.

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