一种利用图着色的数独有效的3-SAT算法公式

Deepika Rai, N. Chaudhari, M. Ingle
{"title":"一种利用图着色的数独有效的3-SAT算法公式","authors":"Deepika Rai, N. Chaudhari, M. Ingle","doi":"10.1109/ICACAT.2018.8933664","DOIUrl":null,"url":null,"abstract":"Graph k-Coloring Problem (GKCP) is a renowned NP Complete Problem (NPC) that has been received noteworthy contribution in diverse research areas. One of the important applications of GKCP is the Sudoku puzzle which is also an NPC. We encoded the problem of solving Sudoku puzzle of size (n$\\times$n) into GKCP firstly. Further, we reduced GKCP into 3-SAT clauses to obtain the solution of Sudoku puzzle (n$\\times$ n). Encoding of Sudoku puzzle to 3-SAT clauses straightforwardly leads to large number of clauses. In this way, we developed an algorithm ${SP}_{2}\\mathrm{G}_{2}3$ SAT on the basis of 3-SAT formulation of Sudoku puzzle using GKCP. This algorithm generates $[(n^{2}/2)^{\\star}(3n^{2}+(1-2\\sqrt{n})^{\\star}n-4)+m]3$-SAT clauses that can be solved by SAT solver to obtain the solution of Sudoku puzzle $(n\\times n)$. 3-SAT reduction of Sudoku puzzle using GKCP provides an efficient way to acquire the solution of Sudoku puzzle of size $(n\\times n)$ as it generates fewer clauses than earlier approach.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"40 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Efficient Algorithmic 3-SAT Formulation for Sudoku Puzzle using Graph Coloring\",\"authors\":\"Deepika Rai, N. Chaudhari, M. Ingle\",\"doi\":\"10.1109/ICACAT.2018.8933664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Graph k-Coloring Problem (GKCP) is a renowned NP Complete Problem (NPC) that has been received noteworthy contribution in diverse research areas. One of the important applications of GKCP is the Sudoku puzzle which is also an NPC. We encoded the problem of solving Sudoku puzzle of size (n$\\\\times$n) into GKCP firstly. Further, we reduced GKCP into 3-SAT clauses to obtain the solution of Sudoku puzzle (n$\\\\times$ n). Encoding of Sudoku puzzle to 3-SAT clauses straightforwardly leads to large number of clauses. In this way, we developed an algorithm ${SP}_{2}\\\\mathrm{G}_{2}3$ SAT on the basis of 3-SAT formulation of Sudoku puzzle using GKCP. This algorithm generates $[(n^{2}/2)^{\\\\star}(3n^{2}+(1-2\\\\sqrt{n})^{\\\\star}n-4)+m]3$-SAT clauses that can be solved by SAT solver to obtain the solution of Sudoku puzzle $(n\\\\times n)$. 3-SAT reduction of Sudoku puzzle using GKCP provides an efficient way to acquire the solution of Sudoku puzzle of size $(n\\\\times n)$ as it generates fewer clauses than earlier approach.\",\"PeriodicalId\":6575,\"journal\":{\"name\":\"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)\",\"volume\":\"40 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACAT.2018.8933664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACAT.2018.8933664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

图k-着色问题(Graph k-Coloring Problem, GKCP)是一个著名的NP完全问题(NP Complete Problem, NPC),在各个研究领域都有显著的贡献。GKCP的一个重要应用是数独谜题,它也是一个NPC。我们首先将求解大小为(n$\ × $n)的数独问题编码到GKCP中。进一步,我们将GKCP简化为3-SAT子句,得到数独题的解(n$\乘以$ n)。将数独题直接编码为3-SAT子句会导致大量子句。在此基础上,我们利用GKCP开发了一种算法${SP}_{2}\ maththrm {G}_{2}3$ SAT。该算法生成$[(n^{2}/2)^{\star}(3n^{2}+(1-2\sqrt{n})^{\star}n-4)+m]3$-SAT子句,通过SAT求解器求解得到数独题$(n\乘以n)$的解。使用GKCP进行数独的3-SAT约简提供了一种获得大小为$(n\ * n)$的数独解的有效方法,因为它产生的子句比以前的方法少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An Efficient Algorithmic 3-SAT Formulation for Sudoku Puzzle using Graph Coloring
Graph k-Coloring Problem (GKCP) is a renowned NP Complete Problem (NPC) that has been received noteworthy contribution in diverse research areas. One of the important applications of GKCP is the Sudoku puzzle which is also an NPC. We encoded the problem of solving Sudoku puzzle of size (n$\times$n) into GKCP firstly. Further, we reduced GKCP into 3-SAT clauses to obtain the solution of Sudoku puzzle (n$\times$ n). Encoding of Sudoku puzzle to 3-SAT clauses straightforwardly leads to large number of clauses. In this way, we developed an algorithm ${SP}_{2}\mathrm{G}_{2}3$ SAT on the basis of 3-SAT formulation of Sudoku puzzle using GKCP. This algorithm generates $[(n^{2}/2)^{\star}(3n^{2}+(1-2\sqrt{n})^{\star}n-4)+m]3$-SAT clauses that can be solved by SAT solver to obtain the solution of Sudoku puzzle $(n\times n)$. 3-SAT reduction of Sudoku puzzle using GKCP provides an efficient way to acquire the solution of Sudoku puzzle of size $(n\times n)$ as it generates fewer clauses than earlier approach.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Metaphoric Investigation on Prediction of Heart Disease using Machine Learning Dynamic Weight Ranking algorithm using R-F score for Efficient Caching VLSI Architecture for Low Cost and Power Reversible Arithmetic Logic Unit based on Reversible Gate Advance Malware Analysis Using Static and Dynamic Methodology Evaluate Performance of student by using Normalized data set, Fuzzy and A-priori Like Algorithm
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1