多级多受灾点连续消耗应急物资调度优化策略

发布时间：2018-03-25 01:11

本文选题：应急物资分配调度　切入点：遗传算法(GA)　出处：《大连理工大学学报》2017年05期

【摘要】：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.
[Abstract]:Emergency relief after disaster is very important, especially in the case of multiple disasters at the same time. Therefore, considering the integrated planning of resettlement and material transportation of disaster victims, a mathematical model of multi-level emergency material allocation for continuous consumption is established. Based on the objective function of emergency system rescue cost and untimely loss, the optimization model is constructed. Genetic algorithm (GA) and Sequential Linear programming (SLP) algorithm are used to optimize the allocation of materials. An example is constructed to simulate the disaster relief process. The numerical results show that, The GA global optimization combined with SLP local optimization strategy is more effective than the single optimization algorithm in finding the optimal solution. The proposed optimization strategy can provide a feasible scheme for the continuous consumption of emergency materials in multi-level and multi-disaster-stricken areas after a disaster.
【作者单位】：大连理工大学工业装备结构分析国家重点实验室;佛山市雅洁源科技有限公司;
【基金】：高等学校学科创新引智计划资助项目(B14013) 中央高校基本科研业务费专项资金资助项目(DUT15JJ(G)03)
【分类号】：D632.5;TP18

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