A general model and thresholds for random constraint satisfaction problems

  • Yun Fan
  • , Jing Shen*
  • , Ke Xu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalArtificial Intelligence
Volume193
DOIs
StatePublished - Dec 2012

Keywords

  • Constraint satisfaction problem
  • Phase transition

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