Journal of Northeastern University ›› 2005, Vol. 26 ›› Issue (9): 844-847.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Theory of solving of E-GENET for non-binary constraint satisfaction problems

Feng, Xin (1); Tang, Li-Xin (1); Leung, Ho-Fung (2)   

  1. (1) Key Laboratory of Process Industry Automation, Northeastern University, Shenyang 110004, China; (2) Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, Hong Kong
  • Received:2013-06-24 Revised:2013-06-24 Online:2005-09-15 Published:2013-06-24
  • Contact: Feng, X.
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Abstract: Non-binary constraint satisfaction problems (NB-CSPs) are transformed into the integer constrained minimization problems by extending correlative definitions of E-GENET. Then, a class of discrete Lagrangian-based search scheme and algorithm with non-binary variable constraints (NB-LSDL) is proposed for such problems to restructure E-GENET from NB-LSDL. It is useful to gain important insights into the heuristic repair method to minimize conflicts and improve variant of E-GENET for the CSPs with general constraints in a new theoretical perspective. The experimental results show that it is effective and feasible to re-extend E-GENET by using NB-LSDL.

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