Implementing Efficient All Solutions SAT Solvers

Author:

Toda Takahisa1,Soh Takehide2

Affiliation:

1. University of Electro-Communications, Tokyo, Japan

2. Kobe University, Nada Kobe, Japan

Abstract

All solutions SAT (AllSAT for short) is a variant of the propositional satisfiability problem. AllSAT has been relatively unexplored compared to other variants despite its significance. We thus survey and discuss major techniques of AllSAT solvers. We accurately implemented them and conducted comprehensive experiments using a large number of instances and various types of solvers including a few publicly available software. The experiments revealed the solvers’ characteristics. We made our implemented solvers publicly available so that other researchers can easily develop their solvers by modifying our code and comparing it with existing methods.

Funder

JSPS KAKENHI

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science

Reference76 articles.

1. Mining association rules between sets of items in large databases

2. Binary Decision Diagrams

3. MINCE: A static global variable-ordering heuristic for SAT search and BDD manipulation;Aloul Fadi A.;J. UCS,2004

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On Hardware Trojan Detection using Oracle-Guided Circuit Learning;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

2. Dynamics of Bipartite Logical Networks;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

3. Greening Large Language Models of Code;Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society;2024-04-14

4. Design, implementation, and validation of a benchmark generator for combinatorial interaction testing tools;Journal of Systems and Software;2024-03

5. Logical Resolving-Based Methodology for Efficient Reliability Analysis;Micromachines;2023-12-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3