An Algorithm to Find the First K Spanning Trees with Minimum Weights

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Abstract:

By improving and extended Kruskal algorithm and using the backtracking method, we obtain an algorithm to find the first k spanning trees with minimum weights. Experiments show that for various types of randomly generated undirected connected graphs of which the number of nodes is 10,000, while the number of edges can be up to millions, this algorithm can obtain results within a few seconds.

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535-538

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Dong Yuehua; Li Yunhao; Jiang Zaidong. Implement Prim Algorithm with Broken Cycle Approach. Journal of Jiangxi University of Science and Technology. 2008. 20-22.

Google Scholar

[2] Du Lingling. The Application of Improved Prim algorithm in GIS. Mapping Information and Engineering. 2006. 28-29.

Google Scholar

[3] Han Lixia; Wang Yuping. The New Genetic Algorithm to Solve the Degree-constrained Minimum Spanning Tree. Computer Engineering and Application. 2006. 13-15.

Google Scholar

[4] Duan Zhi; Yuan Zhenzhou. Solving Method for Maximum Spanning Tree of the Importance of rural Highway Network Layout Based on Prim algorithm. Highway. 2007. 111-114.

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[5] Yang Chenghui; Yin Hong; Meng Jianjun; Jiang Huqiang. Simulation Study and Application on Communication Network setup Based on Prim Algorithm. The Computer Simulation. 2007. 144-147.

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[6] Li Guoqi. PRIM Method of Minimum Spanning Tree of Undirected Weighted Graph Based on the Heap. Computer Learning. 2007. 61-62.

Google Scholar

[7] Liu Pingyuan; Zhang Ni. Alternate Solution for Prim Algorithm. Scientific Chinese. 2007. 125-126.

Google Scholar