一种基于启发式算法的最短路径方法

Q1 Social Sciences HumanMachine Communication Journal Pub Date : 2010-04-24 DOI:10.1109/MVHI.2010.157
Yangeng Wen, Weihua Zang, Chen Li
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引用次数: 3

摘要

讨论了经典的Dijdstra算法和启发式策略。提出了一种基于Dijkstra算法的动态方向限制搜索算法,用于计算路网中节点之间的最短路径。与经典的Dijdstra算法相比,该算法结合了人的搜索思想和灵活的处理方式,能够动态改变限制区域,节省了计算时间。仅用该算法即可提高最短路径的计算效率,并且与其他算法结合使用效果更好。对比实验结果表明,动态方向约束搜索算法在节点选择数量和计算次数方面节省了近50%。
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A Novel Shortest Path Method Based on Heuristic Algorithm
Classic Dijdstra algorithm and heuristic strategy were discussed. A dynamic direction restricted searching algorithm is presented, based on the Dijkstra algorithm for computing shortest path from one node to another node in road net. In comparison with classic Dijdstra algorithm, the searching algorithm, combined with human searching thought and flexible handle, could change restricted area dynamically and save computation time. The efficiency of computing shortest path was improved by this algorithm only and better effects were given when this algorithm was combined with other algorithms. The results of comparative experiments show that the dynamic direction restricted searching algorithm led to almost a saving ratio of 50 %, in terms of both number of nodes selected and computation times.
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来源期刊
CiteScore
10.00
自引率
0.00%
发文量
10
审稿时长
8 weeks
期刊最新文献
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