• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science ›› 2022, Vol. 44 ›› Issue (07): 1321-1330.

• Artificial Intelligence and Data Mining • Previous Articles    

Review of phase transition of random constraint satisfaction problems

NIU Peng-fei1,WANG Xiao-feng1,2,LU Lei1,ZHANG Jiu-long1   

  1. (1.School of Computer Science and Engineering,North Minzu University,Yinchuan 750021;
    2.The Key Laboratory of Images and Graphics Intelligent Processing of
     State Ethnic Affairs Commission,North Minzu University,Yinchuan  750021,China) 
  • Received:2021-10-18 Revised:2021-12-26 Accepted:2022-07-25 Online:2022-07-25 Published:2022-07-25

Abstract: Random constraint satisfaction problem is a classical NP complete problem, which is widely used in theoretical research and real life. The random constraint satisfaction problem has phase transition phenomenon. In recent decades, the research results of phase transitions on this issue have continuously emerged. In this paper, random graph coloring problem and random satisfiability problem are selected, which are classical constraint satisfaction problems. Based on the method from algorithm research, statistical physic, mathematical proof, this paper summarizes and reviews the research results on phase transition of random graph coloring problem and random satisfiability problem. Finally, we provided a suggestion for the direction of future development.

Key words: random constraint satisfaction problem, random satisfiability problem, random graph coloring problem, phase transition