Community-based 3-SAT formulas with a predefined solution

被引:0
|
作者
Hu Y. [1 ]
Luo W. [1 ,2 ]
Wang J. [1 ]
机构
[1] School of Computer Science and Technology, University of Science and Technology of China, Anhui, Hefei
[2] School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Harbin
基金
中国国家自然科学基金;
关键词
community structure; predefined solution; SAT generator;
D O I
10.1504/IJWMC.2021.121603
中图分类号
学科分类号
摘要
It is crucial to generate SAT formulas with predefined solutions for the development of SAT solvers since many SAT formulas from real-world applications have solutions. Although some algorithms have been proposed to generate SAT formulas with predefined solutions, community structures of SAT formulas are not considered in these algorithms. Consequently, we propose a 3-SAT formula generating algorithm that not only guarantees the existence of a predefined solution, but also simultaneously considers community structures and clause distributions. To study the effect of community structures and clause distributions on the hardness of SAT formulas, we measure solving runtimes of two solvers, gluHack and CPSparrow, on the generated SAT formulas under different parameter settings. Through extensive experiments, we obtain some noteworthy observations. For example, the community structure has few or no effects on the hardness of SAT formulas with regard to CPSparrow but a strong effect with regard to gluHack. Copyright © 2021 Inderscience Enterprises Ltd.
引用
收藏
页码:310 / 322
页数:12
相关论文
共 50 条
  • [31] Heuristics for Quantum Computing Dealing with 3-SAT
    Paulet, Jose J.
    LLana, Luis F.
    Calvo, Hernan Indibil
    Mezzini, Mauro
    Cuartero, Fernando
    Pelayo, Fernando L.
    MATHEMATICS, 2023, 11 (08)
  • [32] Improving WalkSAT for Random 3-SAT Problems
    Fu, Huimin
    Xu, Yang
    Chen, Shuwei
    Liu, Jun
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2020, 26 (02) : 220 - 243
  • [33] Optimal myopic algorithms for random 3-SAT
    Achlioptas, D
    Sorkin, GB
    41ST ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS, 2000, : 590 - 600
  • [34] Development of an in vivo computer for 3-SAT Problem
    Li, Xiangrong
    Wang, Shudong
    Qiang, Xiaoli
    2009 FOURTH INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS, PROCEEDINGS, 2009, : 328 - +
  • [35] An algorithm for random signed 3-SAT with intervals
    Ballerstein, Kathrin
    Theis, Dirk Oliver
    THEORETICAL COMPUTER SCIENCE, 2014, 524 : 1 - 26
  • [36] A corresponding graph associated with the 3-SAT problem
    Cheng, G
    Proceedings of the Second International Conference on Information and Management Sciences, 2002, 2 : 222 - 225
  • [37] Fluorescence model of 3-SAT in DNA computing
    Chen, Jun
    Liu, Wei
    Gao, Yuli
    Sun, Shouxia
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES, 2007, 2 : 442 - +
  • [38] Breaking the PPSZ Barrier for Unique 3-SAT
    Hertli, Timon
    AUTOMATA, LANGUAGES, AND PROGRAMMING (ICALP 2014), PT I, 2014, 8572 : 600 - 611
  • [39] Is DNA computing viable for 3-SAT problems?
    Li, DF
    THEORETICAL COMPUTER SCIENCE, 2003, 290 (03) : 2095 - 2107
  • [40] Implicates and prime implicates in random 3-SAT
    Schrag, R
    Crawford, JM
    ARTIFICIAL INTELLIGENCE, 1996, 81 (1-2) : 199 - 222