多级多受灾点连续消耗应急物资调度优化策略

灾后应急救助十分关键,特别是多地同时受灾情况下.为此,考虑将灾民安置与物资运输一体化规划,建立连续消耗多级应急物资调配数学模型.在此基础上,以应急系统施救成本和施救不及时损失为目标函数构建优化模型,并应用遗传算法(GA)和序列线性规划(SLP)算法相结合策略对物资调配进行优化.构造四级救灾物资调配算例模拟救灾过程.数值结果表明,使用GA全局寻优结合SLP局部寻优策略相较单一优化算法能有效找到更优解.所提出的优化策略可为灾后多级多受灾点连续消耗应急物资调度提供可行方案.

Optimization strategy of emergency resources scheduling of hierarchical multiple disaster sites during continuous consumption

After disaster,the emergency rescue is the key problem, especially when multiple sites are attacked. Considering an integrated scheduling issue of the victim shelter and the resources transportation, a mathematical model of scheduling and distribution of hierarchical emergency resources during continuous consumption is established. And then, an optimization model is presented, in which the objective is comprised of the rescue costs and the losses from lacking timely succor. Subsequently the genetic algorithm (GA) combined with sequential linear programming (SLP) algorithm is employed to solve the optimization model. A numerical example of a four-level resources scheduling is generated to simulate the progress of relieving the disaster. The numerical example verifies that GA combined with SLP can find a better solution, for the global search ability of GA is refined by the local search ability of SLP. The optimization strategy presented can provide a suitable resource scheduling solution in this field.