A multi-objective location and channel model for ULS network

作者：Liang, Hejun^*; Yuan, Guanghui; Han, Jingti; Sun, Lily

来源：Neural Computing & Applications, 2019, 31(S1): 35-46.

DOI：10.1007/s00521-018-3636-5

• Logistics engineering
• Underground logistics system (ULS)
• Location and channel model
• Multi-objective
• Plant growth simulation algorithm (PGSA)

In this paper, we construct a multi-objective location and channel model for ULS network to alleviate the urban traffic congestion problem. First, we construct a multi-objective node selection model and obtain the position of the first-level nodes in the ULS network by using agglomerative hierarchical clustering method. Then, we obtain the position of the second-level nodes in the ULS network by using the greedy algorithm. We also calculate the service scope, actual traffic volume and transport rate of first-level node for each node based on the determined node group. After that, we select the optimal channel scheme to make nodes at different levels of the ULS and its load more balanced by using the plant growth simulation algorithm. We extract the key variables of the problem, quantify some indicators with reasonable quantification, construct a multi-objective location and channel model based on the actual logistics situation for the specific region and achieve reasonable results to meet multiple objectives. Therefore, the model could be used as a reference for the construction of urban ULS network.

• 出版日期2019-1
• 单位上海财经大学