Based on the traditional reliable location problem and the facility location-allocation problem (FLAP), this paper firstly considered the factors of staged characteristics, facility disruption scenarios, multiple types of fuzzy demand, and facility capacity limitations in the initial stage of post-earthquake rescue. Then, a location-allocation model of emergency facilities suitable to be applied in the initial stage of post-earthquake rescue was established. On this basis, considering the characteristics of the model, a hybrid genetic algorithm with integer coding was designed. Finally, taking the Wenchuan Earthquake as a case, numerical simulation and analysis were conducted, which verified the effectiveness of the model and algorithm proposed in this research. The results of this paper can optimize the system target by more than 21.6%; even if there is no emergency facility disruption after the earthquake, the difference between the optimization result and the optimal target value is only 8.3%.

中文翻译：

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考虑多因素的震后初期应急物流网络优化方法及案例分析

基于传统的可靠选址问题和设施选址问题（FLAP），本文首先考虑了震后初期阶段性特征，设施破坏场景，多种类型的模糊需求以及设施容量限制的因素。拯救。然后，建立了适用于震后救援初期的应急设施选址分配模型。在此基础上，考虑模型的特点，设计了一种具有整数编码的混合遗传算法。最后，以汶川地震为例，进行了数值模拟和分析，验证了本文提出的模型和算法的有效性。本文的结果可以使系统目标优化21.6％以上；