Dynamic Network Planning Simulation for Scheduling Risk Analysis Base on Hybrid System

Author(s):  
Lin Yang ◽  
Yanlong Zhao ◽  
Yueyue Chen
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
YiHua Zhong ◽  
ShiMing Luo ◽  
Min Bao ◽  
XiaoDie Lv

When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logistics system was constructed based on our proposed vertices structure uncertainty graph and the uncertainty of logistics nodes. Thirdly, the dynamic programming model of the underground logistics system was established, and its solution algorithm was also designed by improving simulated annealing. Finally, the correctness and feasibility of the method was validated by using a numerical example of the underground logistics system in Xianlin district, Nanjing City in China.


Author(s):  
Shan Zhang ◽  
Ning Zhang ◽  
Sheng Zhou ◽  
Zhisheng Niu ◽  
Xuemin Shen

2021 ◽  
Author(s):  
Amir Varasteh ◽  
Sai Kireet Patri ◽  
Achim Autenrieth ◽  
Carmen Mas-Machuca

2002 ◽  
Vol 3 (2/3/4) ◽  
pp. 292
Author(s):  
Gary P. Moynihan ◽  
Daniel J. Fonseca ◽  
Paul S. Ray

2011 ◽  
Vol 15 (4) ◽  
pp. 314
Author(s):  
Yong xiu He ◽  
Tao Luo ◽  
Jing Wang ◽  
Yue jin Wang ◽  
Ai ying Dai

Author(s):  
Shan Zhang ◽  
Ning Zhang ◽  
Sheng Zhou ◽  
Zhisheng Niu ◽  
Xuemin Shen

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