震后初期应急物资配送的多目标混合-联运问题

Multi-objective Mixed-Transportation Problems for Post-earthquake Initial Stage Relief Deliveries

针对震后应急物流系统优化问题,以所有受灾点的物资需求未满足量最小以及送达时间最短作为目标,建立了一个带中转设施的双层混合联运多目标优化模型,并根据所建模型的特点,设计了一种基于矩阵编码的混合遗传算法进行求解。最后,以青海玉树地震为例,验证了该模型和算法的可行性。

In response to the post-earthquake emergency logistics system optimization problems, a multi-objective optimization model of the bi-level mixed transport facilities with transshipment facilities is established. The goal is to minimize the relief delivery time and the total loss. Then a hybrid genetic algorithm based on sub stage decoding method is designed according to the characteristics of the model.Finally, the validity of the model and algorithm are demonstrated by a numerical example derived from Yushu earthquake. The results show that the proposed genetic algorithm has good performance.