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计算机系统应用英文版:2016,25(5):107-112
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复杂网络中近似最短路径问题
(西北工业大学 理学院, 西安 710072)
Approximate Shortest Path Problem in Complex Networks
(Science of School, Northwestern Polytechnical University, Xi'an 710072, China)
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Received:August 26, 2015    Revised:November 02, 2015
中文摘要: 随着网络规模的不断增大,经典算法(如Dijkstra等)效率越来越低.针对这一问题,研究者们提出了许多近似搜索算法,但如何既能提高搜索效率又能保持准确性一直是一大难点.本文根据复杂网络的结构特性引入区域划分,同时改进树分解的构造,将图构造成一棵树进行搜索,得到了一个新的适合于复杂网络的最短路径近似算法.此外通过实例验证,该算法不仅在一定程度上降低了计算复杂性,而且保持了较高的近似准确性.
Abstract:With the increasing of data in complex networks, the efficiency of classic algorithms such as Dijkstra algorithm is very low. To solve this problem, the researchers put forward a number of approximate search algorithms, but how to reduce the computational complexity and also keep the accuracy has been a big difficulty. According to the structural characteristics of complex networks, this article introduces regional division, improves the structure of the tree decomposition, and constructs graph into a tree to search the target vertex, getting a new the shortest path approximate algorithm for complex networks. In addition, the proposed algorithm not only reduces the computational complexity but also remains the high accuracy of approximation by examples.
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基金项目:国家磁约束核聚变能发展专项
引用文本:
刘微,肖华勇.复杂网络中近似最短路径问题.计算机系统应用,2016,25(5):107-112
LIU Wei,XIAO Hua-Yong.Approximate Shortest Path Problem in Complex Networks.COMPUTER SYSTEMS APPLICATIONS,2016,25(5):107-112