震后恢复期物资配送中的多周期选址-联运问题

震后恢复期的物资配送是一项复杂的系统工程，针对震后恢复期两级救援物资 配送系统中的多品种物资、多运输方式、多周期决策等特征，提出了一个以系统总费用最 小为目标的混合整数线性规划模型，用以解决震后恢复期救援物流系统中的选址-联运 问题.针对该模型的特点，设计了一种结合启发式规则的分周期、分阶段解码的混合遗传 算法. 以“5.12”汶川大地震恢复期救援物资保障过程构建算例，对该模型和算法进行了实 例验证. 结果表明，该算法具有较好的性能，可以有效解决震后恢复期物资配送中的多周 期选址-联运问题.

Multi-period Joint Location-Transportation during Post-earthquake Restoration

The relief distribution during post-earthquake restoration period is a complex system engineering problem. A mixed integer linear programming model which minimizes the total cost is proposed to describe the joint transfer facility location and transportation problem in a two-echelon relief distribution system. It considers the features of relief distribution during post-earthquake restoration stage, such as various relief materials, various modes of transportation, multi- period decision. etc. Then, a hybrid genetic algorithm with multi-period and multi-phase decoded operation is proposed to solve the model. Finally, the validity of the model and algorithm is demonstrated by a numerical example based on Wenchuan earthquake relief distribution during post- earthquake restoration period. The results show that the proposed genetic algorithm has good performance and is suitable for the joint location-transportation problem in relief distribution.