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基于Mapinfo的最短路径混合搜索算法
Hybrid algorithm of path planning based on Mapinfo
【摘要】 在迪杰斯特拉(Dijkstra)算法的基础上,针对有较多节点和道路的大网络在求解最短路径时计算时间慢、扩展节点多的缺点,采用基于局部最优方向和A*算法的混合算法,利用局部最优方向法的结果,对A*算法的启发函数加以改造,可以减少扩展的节点数量,快速的找到一条最短路径.通过实验仿真证实了该算法的快速有效性.
【Abstract】 In order to reduce the time for expanding to obtain a shortest path in a big traffic network which has a lot of nodes and paths,we deduced a hybrid algorithm by the A~* algorithm and local optimal direction method based on Dijkstra’s shortest path algorithm.Using the result of the local optimal direction algorithm,the heuristic function of A~* algorithm was rebuilt.It can reduce the number of expanded nodes and reduce the time for finding the shortest path.Experimental results show that the algorithm is effective and speedy.
【关键词】 Mapinfo;
最短路径规划;
混合搜索算法;
【Key words】 Mapinfo; shortent peth planning; hybrid search algorithm;
【Key words】 Mapinfo; shortent peth planning; hybrid search algorithm;
【基金】 山东省交通厅资助课题(2001202)
- 【文献出处】 山东理工大学学报(自然科学版) ,Journal of Shandong University of Technology(Science and Technology) , 编辑部邮箱 ,2006年02期
- 【分类号】TP391.3
- 【被引频次】18
- 【下载频次】307