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Algorithm of capacity expansion on networks optimization

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成果类型:
期刊论文
作者:
Yu, SS;Liu, YH*;Mao, JZ;Xu, KH
通讯作者:
Liu, YH
作者机构:
[Liu, YH] Huazhong Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan 430074, Peoples R China.
Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
Cent China Normal Univ, Dept Math, Wuhan 430079, Peoples R China.
Cent China Normal Univ, Educ Informat Res Ctr, Wuhan 430079, Peoples R China.
通讯机构:
[Liu, YH] H
Huazhong Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
maximum flow;minimum cutset;capacity-expanded network;optimization algorithm.
关键词(中文):
容量延伸网络;图论;网络优化;最优算法;最大流量;最小割集;标准法;Ford-Fulkerson算法
期刊:
科学通报(英文版)
ISSN:
2095-9273
年:
2003
卷:
48
期:
10
页码:
1048-1050
基金类别:
Acknowledgements The work was jointly supported by the Natural Science Foundation (Grant No. 200IABB013) and the Key Science and Technology Foundation of Hubei Province (Grant No. 200IAAI04A05).
机构署名:
本校为其他机构
院系归属:
数学与统计学学院
计算机学院
摘要:
The paper points out the relationship between the bottleneck and the minimum cutset of the network, and presents a capacity expansion algorithm of network optimization to solve the network bottleneck problem. The complexity of the algorithm is also analyzed. As required by the algorithm, some virtual sources are imported through the whole positive direction subsection in the network, in which a certain capacity value is given. Simultaneously, a corresponding capacity-expanded network is constructed to search all minimum cutsets. For a given maximum flow value of the network, the authors found ...

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