吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (05): 1378-1382.

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AC-4 based dynamic value ordering heuristic algorithm for solving constraint satisfaction problems

LI Zhan-shan1,2, WANG Zi-wen1,2, AI Yang1,2, LI Hong-bo1,2   

  1. 1.Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education, Jilin University, Changchun 130012,China|2.College of Computer Science and Technology, Jilin University, Changchun 130012,China
  • Received:2010-08-14 Online:2011-09-01 Published:2011-09-01

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Abstract:

By studying the arc consistency algorithm, AC-4, a dynamic value ordering heuristic algorithm, MAC-DMSV, is proposed for solving constraint satisfaction problems based on AC-4. This algorithm uses the counter information created in the initialization of the AC-4 algorithm, and chooses the biggest counter value as the prior instantiation value. Then the ordering heuristic of this value is added to MAC, and the values of the counters are updated when checking the consistency. So the dynamic value ordering heuristic can be realized. The algorithm is tested by random problems and benchmark, and results show that the efficiency of MAC-DMSV is higher than that of MAC and BT+MPAC.

Key words: artificial intelligence, dynamic value ordering, constraint satisfaction problems

CLC Number: 

  • TP18
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