摘要
为解决物流配送的效率低的问题,文中建立了蚁群算法的基本模型,以淮海经济区为例,收集淮海经济区23个城市地理位置坐标。运用MATLAB软件模拟仿真,编写蚁群算法的程序,计算出最终运行的最优配送路径的结果。将理论付诸实践,降低了物流配送成本,提高了物流服务质量。
In order to solve the problem of low efficiency of logistics and distribution,this paper establishes a basic model of ant colony algorithm. Taking Huaihai Economic Zone as an example,we collect the coordinates of 23 cities in Huaihai Economic Zone. Using MATLAB software simulation ant colony algorithm,the final results of running the optimal delivery path show. The theory put into practice,reducing the logistics costs and improving the quality of logistics services.
出处
《物流工程与管理》
2018年第2期74-76,共3页
Logistics Engineering and Management
基金
江苏省大学生创新创业国家级项目
项目编号:XCX2017015
关键词
物流配送
路径优化
蚁群算法
logistics delivery
route optimization
ant colony algorithm
