首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种基于Dijkstra算法的启发式最优路径搜索算法
引用本文:王景存,张晓彤,陈彬,陈和平.一种基于Dijkstra算法的启发式最优路径搜索算法[J].北京科技大学学报,2007,29(3):346-350.
作者姓名:王景存  张晓彤  陈彬  陈和平
作者单位:1. 北京科技大学信息工程学院,北京,100083;武汉科技大学信息科学与工程学院,武汉,430081
2. 北京科技大学信息工程学院,北京,100083
3. 武汉科技大学信息科学与工程学院,武汉,430081
基金项目:中国科学院计算所知识创新工程研究项目
摘    要:为了建立一个高效的路径搜索引擎,针对大型应用系统中寻径算法的平衡最优性、时间复杂度以及空间复杂度问题,从经典Dijkstra算法出发,将AI领域的决策机制引入到路径搜索中来,提出了一个启发式最优路径搜索算法.该算法在寻径过程中引入代价函数,由代价函数来决定寻径策略(即优先搜索哪些中间节点),以期望减少搜索节点数.给出了该算法得到最佳解的条件及其证明过程,并且以实例数据对两种算法进行了对比测试.

关 键 词:路径搜索  导航  启发式  最优  Dijkstra  algorithm  路径搜索算法  启发式  最优性  based  optimization  对比测试  实例数据  证明过程  条件  最佳  节点数  期望  优先搜索  寻径策略  代价函数  决策机制  问题  空间复杂度  时间
修稿时间:2006-04-05

A heuristic optimization path-finding algorithm based on Dijkstra algorithm
WANG Jingcun,ZHANG Xiaotong,CHEN Bin,CHEN Heping.A heuristic optimization path-finding algorithm based on Dijkstra algorithm[J].Journal of University of Science and Technology Beijing,2007,29(3):346-350.
Authors:WANG Jingcun  ZHANG Xiaotong  CHEN Bin  CHEN Heping
Institution:1 Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China ;2 Information Engineering School, Wuhan University of Science and Technology, Wuhan 430081, China
Abstract:To make an efficient path-finding engine, a heuristic optimization path-finding algorithm was proposed for resolving the time and space complexity problems of a searching algorithm in a large application system. The algorithm was based on the classical Dijkstra algorithm and introduced the decision mechanism in AI into path-finding. To decrease the number of nodes to search, cost-function was incorporated into this algorithm and used to decide the path-finding policy, that was, which nodes were searched firstly. The condition of getting the optimal solution from this algorithm was put forward and proved. These two algorithms were tested comparatively.
Keywords:path-finding  navigation  heuristic  optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号