Optimal Path Searching Method based on Improved Dijkstra Algorithm
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作者:
Ma, Hui
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China Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R ChinaChina Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R China
Ma, Hui
[1
]
Zhou, Zhizheng
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机构:
China Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R China
Shandong Univ Finance, Sch Comp & Informat Engn, Jinan, Peoples R ChinaChina Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R China
Zhou, Zhizheng
[1
,2
]
Zhou, Zhizheng
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机构:
China Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R China
Shandong Univ Finance, Sch Comp & Informat Engn, Jinan, Peoples R ChinaChina Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R China
Zhou, Zhizheng
[1
,2
]
Liu, Guangyan
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Shandong Elect Power Coll, Dept Business Adm, Jinan, Peoples R ChinaChina Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R China
Liu, Guangyan
[3
]
机构:
[1] China Univ Geosci Beijing, Sch Geophys & Informat Technol, Beijing, Peoples R China
[2] Shandong Univ Finance, Sch Comp & Informat Engn, Jinan, Peoples R China
[3] Shandong Elect Power Coll, Dept Business Adm, Jinan, Peoples R China
The optimal path no longer refers to the shortest distance in the modern sense, it can also refer to the least time, the least cost, the largest line capacity and so on. The essence of Dijkstra algorithm is to solve the distance of single source and all vertices, when it is used to find the optimal path, there must be redundancy problem. So this paper a two-way Dijkstra algorithm based on the limited rule. Relying on the actual constraints the algorithm constructs a network dynamically, reduces the number of links, and improves the efficiency of finding the optimal path. Through experiments and practical application of the logistics system, it is shown that the algorithm can be selected to meet the logistics' needs to find the optimal path.
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页码:567 / 570
页数:4
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[1]
Car Adrijana, 1997, HIERARCHICAL SPATIAL, P101