Research on robust optimization of emergency logistics network considering the time dependence characteristic

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Wang, Qingrong^1 ; Zhu, Changfeng^2 ; Li, Ying^2 ; Zhang, Zhengkun^2

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou

730070, China^1

School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou

730070, China^2

关键词: Discrete optimization;    Emergency logistics;    Emergency Logistics networks;    Improved ant colony algorithm;    Optimization algorithms;    Robustness optimizations;    Time-dependence characteristics;    Time-dependent networks;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012195/pdf
DOI  :  10.1088/1755-1315/69/1/012195

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Considering the time dependence of emergency logistic network and complexity of the environment that the network exists in, in this paper the time dependent network optimization theory and robust discrete optimization theory are combined, and the emergency logistics dynamic network optimization model with characteristics of robustness is built to maximize the timeliness of emergency logistics. On this basis, considering the complexity of dynamic network and the time dependence of edge weight, an improved ant colony algorithm is proposed to realize the coupling of the optimization algorithm and the network time dependence and robustness. Finally, a case study has been carried out in order to testify validity of this robustness optimization model and its algorithm, and the value of different regulation factors was analyzed considering the importance of the value of the control factor in solving the optimal path. Analysis results show that this model and its algorithm above-mentioned have good timeliness and strong robustness.