摘要
针对多目标应急物资配送中车辆路径优化问题,提出了基于改进智能水滴算法的多目标应急物资路径优化方案。主要包括以下四个阶段:a)构建基于Holling-Ⅱ函数的疾病扩散模型;b)各疫区对药品的需求预测;c)构建多目标应急物流配送模型;d)改进的智能水滴算法求解多目标应急物资优化问题。研究结果表明,所建立的模型与算法有效可行,可为应急管理相关问题提供决策参考。
For the multi-objective vehicle routing problem in emergency logistics distribution, this paper proposed an improved intelligent water drops algorithm for multi-objective routing programming scheduling of emergency materials. The main contents consist of four steps： a） constructed the disease spreading model in multiple areas based on Holling- Ⅱ function, b） data fusion to forecast the relief demand in multiple areas, c） built the multi-objective mathematical model with the minimum emergency logistics distribution time and cost, d）designed an.improved intelligent water drops algorithm for multi-objective emergency materials distribution path optimization. The results show that the established model and algorithm are effective and feasible, which can provide references for decision makers of emergency logistics management.
作者
蒋杰辉
马良
Jiang Jiehui Ma Liang(Business School, University of Shanghai for Science ＆ Technology, Shanghai 200093, Chin)
出处
《计算机应用研究》
CSCD
北大核心
2016年第12期3602-3605,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(71401106)
上海市一流学科建设项目(S1201YLXK)
沪江基金资助项目(A14006)
关键词
应急物流
传染病扩散模型
车辆路径问题
改进智能水滴算法
多目标优化
emergency logistics
disease spreading model
vehicle routing problem
improved intelligent water drops algorithm
multi-objective optimization
