DocumentCode :
3390472
Title :
Ordering heuristics for Singleton Arc Consistency
Author :
ChuiLiu Kong ; Shimei Xing
Author_Institution :
JiLin Inst. of Architeture & Civil Eng., Jilin Univ., Changchun, China
fYear :
2011
fDate :
19-22 Aug. 2011
Firstpage :
371
Lastpage :
374
Abstract :
The use of consistency techniques is the main feature of any Constraint Satisfaction Problems(CSPs)solver. Arc Consistency (AC) applied to preprocessing can reduce the search space by removing the values which are arc inconsistent. Singleton Arc Consistency (SAC) is a stronger level of consistency than AC. Arc consistency technique with heuristic strategy has been proved to be an efficient technique to improve the efficiency of algorithms. In this paper, we first study the well-known SAC-3 algorithm indetail, and propose two algorithms with heuristic strategies for the drawbacks in SAC-3, SAC-3-FFPand SAC-3-MINIsup. Then, we give the correctness proof and complexity analysis. In the end, we implement the two algorithms in some random CSPs and benchmarks during the preprocessing step. Experimental results show that the two algorithms perform better than SAC-3 for most test cases.
Keywords :
computational complexity; constraint theory; SAC-3 algorithm; SAC-3-FFP; SAC-3-MINIsup; complexity analysis; constraint satisfaction problems solver; correctness proof; ordering heuristics; search space; singleton arc consistency; Algorithm design and analysis; Benchmark testing; Complexity theory; Data structures; Educational institutions; Heuristic algorithms; Runtime; arc consistency; consistency technique; constraint satisfaction problem; heuristic strategy; singleton arc consistency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
Type :
conf
DOI :
10.1109/MEC.2011.6025478
Filename :
6025478
Link To Document :
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