Optimization of charging infrastructure planning for plug-in electric vehicles based on a dynamic programming model

2021 ◽  
pp. 1-17
Author(s):  
Abdul Haseeb Khan Babar ◽  
Ali Yousaf
Keyword(s):  
Dynamic Programming ◽  
Electric Vehicles ◽  
Programming Model ◽  
Infrastructure Planning ◽  
Charging Infrastructure ◽  
Dynamic Programming Model

scholarly journals Dynamic Network Planning of Underground Logistics System on Uncertainty Graph

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
YiHua Zhong ◽  
ShiMing Luo ◽  
Min Bao ◽  
XiaoDie Lv
Keyword(s):  
Dynamic Programming ◽  
Programming Model ◽  
Network Planning ◽  
Dynamic Network ◽  
Planning Problem ◽  
Uncertainty Measure ◽  
Uncertain Graph ◽  
Logistics System ◽  
Nanjing City ◽  
Dynamic Programming Model

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.

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