文献类型：会议论文

英文题名：Based on Immune Optimization Algorithm for Multi-Storage Site Selection Algorithm

作者：Wang, Xinyan[1]; Qin, Guangjun[2]; Zhao, Hongsheng[1]

第一作者：Wang, Xinyan

机构：[1] Communication And Information Center, Ministry Of Emergency Management, Beijing, 100013, China; [2] Smart City College, Beijing Union University, Beijing, 100101, China

第一机构：Communication And Information Center, Ministry Of Emergency Management, Beijing, 100013, China

通讯机构：[2]Smart City College, Beijing Union University, Beijing, 100101, China|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：2024 7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024

会议日期：March 1, 2024 - March 3, 2024

会议地点：Hybrid, Shanghai, China

语种：英文

外文关键词：Optimization - Warehouses

摘要：In emergency rescue, the timeliness and uncertainty of emergency logistics are very prominent problems. In order to solve the timeliness and uncertainty of emergency logistics distribution site selection, this paper adjusts and optimizes the coverage strategy of logistics distribution site selection based on immune optimization algorithm, considering the uncertainty of emergency material demand and distribution path and other preconditions, aiming at the possible failure of the planned material distribution point in emergency emergencies. The original one-to-one relationship between distribution point and demand point is adjusted to many-to-one, and the multi-center logistics warehousing site selection scheme is realized through the evolutionary scheduling of one-to-many distribution centers, so as to cope with the emergency logistics management of major emergencies. Through simulation analysis, the efficiency of emergency materials distribution can be improved. ? 2024 IEEE.