A general model and thresholds for random constraint satisfaction problems

  • Authors:
  • Yun Fan;Jing Shen;Ke Xu

  • Affiliations:
  • Department of Mathematics, Central China Normal University, Wuhan, 430079, China;School of Science, Naval University of Engineering, Wuhan, 430033, China;State Key Lab of Software Development Environment, Beihang University, Beijing, 100191, China

  • Venue:
  • Artificial Intelligence
  • Year:
  • 2012

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Abstract

In this paper, we study the relation among the parameters in their most general setting that define a large class of random CSP models d-k-CSP where d is the domain size and k is the length of the constraint scopes. The model d-k-CSP unifies several related models such as the model RB and the model k-CSP. We prove that the model d-k-CSP exhibits exact phase transitions if klnd increases no slower than the logarithm of the number of variables. A series of experimental studies with interesting observations are carried out to illustrate the solubility phase transition and the hardness of instances around phase transitions.