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基于概率距离的电脑鼠迷宫搜索算法 被引量:2

Search Algorithm Bsed on Probability Distance of Micromouse Maze
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摘要 效率不高是目前电脑鼠竞赛中迷宫搜索算法存在的普遍问题,为此,提出一种基于概率距离的电脑鼠迷宫搜索算法。通过生成静态概率距离图,并结合对迷宫图的动态处理,以达到提高迷宫搜索效率,缩短迷宫搜索时间的目的。测试结果表明,基于概率距离的电脑鼠迷宫搜索算法,在迷宫搜索效率、迷宫搜索时间等方面,较左手、中左、中心、中心分区算法有明显优势。 Low efficiency is the regular problem in search algorithm of Micromouse maze at present. To solve this problem, proposed the search algorithm based on probability distance. This algorithm creates a static probability distance map, and combines the dynamic handling of the maze map to improve the efficiency and speed of maze search.The results show that search algorithm based on probability distance of Micromouse maze has a big advantage of search efficiency and search time comparing with the left hand, center left, center, center partition algorithm.
出处 《科技创新导报》 2016年第3期93-95,共3页 Science and Technology Innovation Herald
关键词 迷宫搜索算法 电脑鼠 迷宫 概率距离 封闭体算法 搜索效率 Maze search algorithm Micromouse Maze Probability distance Closed body algorithm Search efficiency
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  • 1MicroMouseInfo.com. Design of a working MicroMouse[EB/OL]. [2015 -12-27]. http.//w w w. micromouseinfo.com/. 被引量:1
  • 2林国恩.电脑鼠的设计与制作[D].台湾:台湾龙华科技大学,2010,6:71-73. 被引量:3
  • 3Mishra S,Bande P.Maze micro mouse[C]//Signal Internet Based Systems, International Conference 93. solving algorithms for Image Technology and 2008. SITISI08. IEEE on. IEEE, 2008: 86-. 被引量:1
  • 4周立功.IEEE电脑鼠开发指南--基于MicroMouse615迷宫智能鼠[M].广州:广州致远电子有限公司,2010:91. 被引量:2
  • 5Li X, Jia X, Xu X, et al. An improved algorithm of the exploring process in Micromouse C ompetition[C]//Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on. IEEE, 2010, 2:324-328. 被引量:1
  • 6Mishra S, Bande P.Maze solving algorithms for micro mouse[C]//Signal Image Technology and Internet Based Systems, 2008. SITIS'08. IEEE International Conference on. IEEE, 2008: 86-93. 被引量:1
  • 7严蔚敏,吴伟民编著..数据结构 C语言版[M].北京:清华大学出版社,2007:334.

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