多级多受灾点连续消耗应急物资调度优化策略  

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

作　　者：张力丹[1] 李超[1] 陈飙松[1] 李杰 

机构地区：[1]大连理工大学工业装备结构分析国家重点实验室,辽宁大连116024 [2]佛山市雅洁源科技有限公司,广东佛山528200

出　　处：《大连理工大学学报》2017年第5期501-510,共10页Journal of Dalian University of Technology

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)

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.After disaster,the emergency rescue is the key problem, especially when multiple sites areattacked. Considering an integrated scheduling issue of the victim shelter and the resourcestransportation , a mathematical model of scheduling and distribution of hierarchical emergencyresources during continuous consumption is established. And then , an optimization model ispresented ,in which the objective is comprised of the rescue costs and the losses from lacking timelysuccor. 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-levelresources scheduling is generated to simulate the progress of relieving the disaster. The numericalexample verifies that GA combined with SLP can find a better solution, for therefined by the local search ability of SLP. The optimization strategy presented can provide a suitableresource scheduling solution in this field.

关 键 词：应急物资分配调度 遗传算法(GA) 序列线性规划(SLP)算法 多级多受灾点 连续消耗 

分 类 号：N945.25[自然科学总论—系统科学]