摘要
针对震后初期应急物资总量有限且不充足情形下的系统优化问题,提出一个基于优先等级的震后LRP优化模型.考虑震后初期应急物资需求主要影响因素,利用可变集理论确定各受灾点应急物资优先级;在此基础上,以整个救援过程总耗时最少为目标构建选址定位-路径优化模型,针对模型特点设计了一种基于两阶段的遗传算法.最后,通过算例验证了模型及算法的可行性和有效性.
According to the problem that total relief supplies are limited and in- sufficient in initial stages of post-earthquake, the post-earthquake LRP optimization model based on priority grade is proposed. Considering the key impact factors of relief supplies demand, the allocation amount of each stricken point is determined with variable set theory. The model with the goal of minimum time in the entire rescue process is constructed, and then a two-phase genetic algorithm is designed to solve the model. Finally, the results of a numerical example show the effectiveness and feasibility of model and algorithm.
出处
《系统科学与数学》
CSCD
北大核心
2017年第2期491-501,共11页
Journal of Systems Science and Mathematical Sciences
基金
浙江省社科规划基金(15NDJC117YB)
浙江省自然科学基金(LY15G030021)
中国博士后基金(2016M602054)资助课题
关键词
应急物流
优先等级
定位-路径
遗传算法.
Emergency logistics, priority grade, location-routing, genetic algorithm.