›› 2012, Vol. 27 ›› Issue (1): 37-41.doi: 10.1007/s11390-012-1204-5

• Artificial Intelligent and Pattern Recognition • Previous Articles     Next Articles

Integrating Standard Dependency Schemes in QCSP Solvers

Ji-Wei Jin1 (金继伟), Fei-Fei Ma2 (马菲菲), Member, ACM and Jian Zhang3 (张健), Senior Member, CCF, ACM, IEEE   

  1. State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2011-07-01 Revised:2011-10-17 Online:2012-01-05 Published:2012-01-05
  • Supported by:

    This work is supported in part by the National Natural Science Foundation of China under Grant No. 61070039.

Quantified constraint satisfaction problems (QCSPs) are an extension to constraint satisfaction problems (CSPs) with both universal quantifiers and existential quantifiers. In this paper we apply variable ordering heuristics and integrate standard dependency schemes in QCSP solvers. The technique can help to decide the next variable to be assigned in QCSP solving. We also introduce a new factor into the variable ordering heuristics: a variable's dep is the number of variables depending on it. This factor represents the probability of getting more candidates for the next variable to be assigned. Experimental results show that variable ordering heuristics with standard dependency schemes and the new factor dep can improve the performance of QCSP solvers.

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