基于遗传算法的三层大规模应急救援物资配置策略

在考虑受灾地区对应救援物资需求量大的基础上，研究了包括备选省级应急救援物资供应地、备选市县级应急救援物资中转地、救援物资急需地三层结构的车辆安排、路径选择、物资配送的应急救援物资配置问题；以应急救援物资配置的总成本最小、总的运输时间最短、供应地和中转地启用个数最少为目标，建立数学优化模型.使用遗传算法求解获得近似最优的三层应急救援物资配置方案.

The Three Layers of Large-scale Emergency Material Allocation Strategy Based on the GA

Based on the concern that the affected areas are in an urgent need of a large quantity of emergency relief materials, a study is conducted on the problems of vehicle arrangement, path selection, distribution in emergency material allocation in three layers including alternative provincial supplying spot, alternative municipal and county-level transitional place and the area in urgent need. An optimized mathematical model is figured out with the goals of minimum total cost, the shortest transport time and minimum supplying spots and transitional places in emergency material allocation. Finally, using GA, an optimized three-layer large-scale emergency material allocation scheme is proposed.