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需求可拆分的应急物资调度问题的蚁群算法
引用本文:但兵兵,朱万红,桑杨阳,马千里.需求可拆分的应急物资调度问题的蚁群算法[J].指挥控制与仿真,2013,35(4):81-83,87.
作者姓名:但兵兵  朱万红  桑杨阳  马千里
作者单位:解放军理工大学野战工程学院,解放军理工大学野战工程学院,解放军理工大学野战工程学院,解放军理工大学野战工程学院
摘    要:应急物资调度问题是个典型的需求可拆分的车辆路径问题,区别于传统的车辆路径问题,将每个需求节点只能由一辆车访问的约束去除,允许需求节点由多辆车进行访问。针对应急物资调度问题的特点,建立相应的多目标车辆路径数学规划模型(SDVRP),并根据模型特点设计改进蚁群优化算法。最后,进行相应的算例分析,验证了该模型和算法的有效性。

关 键 词:应急物资  需求可拆分  车辆路径问题  蚁群算法

Ant Colony Optimization Algorithm for Split Routing Problem of Dispatching Emergency Materials
danbingbing,zhu wan hong,sang yang yang and ma qian li.Ant Colony Optimization Algorithm for Split Routing Problem of Dispatching Emergency Materials[J].Command Control & Simulation,2013,35(4):81-83,87.
Authors:danbingbing  zhu wan hong  sang yang yang and ma qian li
Institution:College of Field Engineering .PLA Univ. of Sci. &Tech.,College of Field Engineering pla,College of Field Engineering pla,College of Field Engineering pla
Abstract:The routing problem of dispatching emergency materials is a typical split delivery vehicle routing problem (SDVRP), which relaxes routing restrictions forcing unique deliveries to customers and allows multiple vehicles to satisfy customer demand. This paper provides a mathematical multi-objective model of SDVRP while dispatching emergency materials, and a corresponding improved ant colony optimization algorithm based on characteristic of the problem is designed to solve the problem. Eventually, a numeric example is provided to demonstrate the validity and feasibility of this proposed model and algorithm.
Keywords:emergency materials  split delivery  vehicle routing problem  ant colony algorithm
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