基于蚁群算法的物流中心选址优化设计与算法实现  

Optimization Design and Algorithm Implementation of Logistics Center Location Based on Ant Colony Algorithm

作　　者：陆丽丹 曹陆铖 LU Lidan;CAO Lucheng(Jiangsu Union Technical Institue,Changshu 215500,China;College of Mathematics and Statistics,Chongqing University,Chongqing 401331,China)

机构地区：[1]江苏联合职业技术学院,江苏常熟215500 [2]重庆大学数学与统计学院,重庆401331

出　　处：《物流科技》2023年第11期16-17,26,共3页Logistics Sci-Tech

摘　　要：物流中心的选址应在全面考虑选址影响因素基础上,运用数学的方法进行量化比较。物流中心的优化选址需要模型化、数量化,文章将蚁群算法应用到物流中心优化选址问题中,给出模型的构建和实现步骤,应用Matlab编程验证模型和算法的有效性,以某种模型数据假设为例,给出一系列分析数据,从软件分析结果中找出物流中心优化选址方案,最终实验结果表明,利用蚁群算法求解最优路径时具有一定的优越性。The location selection of logistics center should be based on the comprehensive consideration of the factors affecting the location selection,and the quantitative comparison should be carried out using mathematical methods.The optimal location of logistics center needs to be modeled and quantized.In this paper,ant colony algorithm is applied to the optimal location of logistics center,and the construction and implementation steps of the model are given.Matlab programming is used to verify the effectiveness of the model and algorithm.Taking a certain model data assumption as an example,a series of analysis data are given,and the optimal location scheme of logistics center is found out from the software analysis results.The final experimental results show that,ant colony algorithm has some advantages in solving the optimal path.

关 键 词：蚁群算法 物流中心 优化选址 MATLAB 

分 类 号：F252.14[经济管理—国民经济]