期刊文献+

基于膜计算模型的数独游戏基本解法 被引量:1

Basic Solution to Sudoku Based on Membrane Computing Model
下载PDF
导出
摘要 为了更好地求解数独问题,提出了一种新的求解方法,利用一个具有抑制催化和膜溶解规则以及进化规则的优先级的膜系统来进行求解;结果表明,对于一个数独问题,只要其所有部分解都至少包含一个具有唯一解的单元格,方法都是有效的;如果数独问题可以利用此策略求解,则膜系统在计算的最后一步将问题的解编码并返回物质YES,否则,膜系统可以检测出数独问题不符合上述特征,返回物质NO,计算停止;方法求解策略与人类求解数独问题的思考过程非常类似,并且给出的是数独问题的统一解,即与数独问题的维度和提示数无关。 Sudoku problem has been proved to be an NP efficiently, a novel approach was proposed.We designed rules and as long as priorities Sudokus complete problem. In order to solve the Sudoku more a family of P systems using enzymatic rules, dissolution among sets of rules to solve a large amount of Sudokus. Results show that the strategy is effective satisfy the property that in its all partial solutions there exists at least one square with a unique candidate. If the solution can be solved by using this strategy, the P system encodes the solution and returns Yes in the last step of computation. Otherwise, the P system detects that the property is not satisfied and the computation halts by returning No. The solution is searched by using a human-style method based on looking for squares where only one candidate can be placed.Meanwhile, the solution is a uniform solution to Sudoku problem, in other words, it is irrelevant to the order of the problem and the hint numbers.
作者 江赟
出处 《重庆工商大学学报(自然科学版)》 2017年第4期70-75,共6页 Journal of Chongqing Technology and Business University:Natural Science Edition
基金 国家自然科学基金项目资助(61502063)
关键词 膜计算 数独游戏 细胞膜系统 membrane computing Sudoku cell-like P system
  • 相关文献

参考文献4

二级参考文献36

  • 1曹晓莉.纯延迟系统仿人智能控制与最优PID控制对比仿真分析[J].重庆工商大学学报(自然科学版),2005,22(6):578-580. 被引量:2
  • 2孟庆铃.数独问题人工解法的程序实现[J].甘肃科技,2006,22(9):150-151. 被引量:6
  • 3Yato T, Seta T. Complexity and Completeness of Finfing Solution and Its Application to Puzzles[J]. IEICE Trans. Fundamentals, 2003, E86-A(5) :1052-1060.
  • 4Lewis R. Metaheuristics can solve sudoku puzzles[J]. Journal of Heuristics, 2007,13 : 387-401.
  • 5Mantere T, Koljonen J. Solving and rating sudoku puzzles with Genetic Algorithm[C]//Proceedings of the 12^th Finish Artificial Intelligenee Conference. Sept. 2006.
  • 6GoldbergDE, AllelesLR. TheTravelingSalesmanProblem[C] // Proceedings of an International Conference on Genetic Algorithms and Their Applications. 1985:154-159.
  • 7Pang S C, Li E Y, Song T, et al. Rating and generating sudoku puzzles[ C ]//Proceedings of the 2010 Second International Workshop on Education Technology and Computer Science,2010:457-460.
  • 8Sato Y, Inoue H. Solving sudoku with genetic operations that preserve building blocks [ C ] //Proceedings of the 2010 IEEE Symposium on Computational Intelligence and Games (CIG) , 2010.
  • 9Crawford B, Aranda M, Castro C, et al. Using constraint programming to solve sudoku puzzles [C ]//Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology,2008:926-931.
  • 10Mantere T,Koljonen J. solving,rating and generating sudoku puzzles with GA [ C ] //Proceedings of the IEEE Congress on Evolutionary Computation,2007 : 1382-1389.

共引文献19

同被引文献17

引证文献1

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部