基于自适应遗传算法的物流配送中心选址  

Site Selection of Logistics Distribution Center Based on Adaptive Genetic Algorithm

作　　者：秦芳芳 张珈瑞 张霆 罗竣文 QIN Fang-fang;ZHANG Jia-rui;ZHANG Ting;LUO Jun-wen(College of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]南京邮电大学理学院,江苏南京210023

出　　处：《物流工程与管理》2023年第8期1-6,共6页Logistics Engineering and Management

基　　金：国家自然科学基金资助项目(12801281);江苏省博士后科研资助项目(2020Z380)。

摘　　要：物流配送中心选址问题是现代物流配送设置中重要的规划问题。通过分析物流配送中心配送区域内的运输成本、建设成本、运营管理成本以及维护成本建立函数模型,采用自适应遗传算法对函数模型进行求解,并对基因编码的设计、交叉和变异的运行规则以及目标函数的设置进行创新优化,最终确定最优解方案以及多个次优解方案,通过某地区实例论证该算法的可行性。The site selection problem of logistics distribution centers is an important planning issue in modern logistics distribution settings.By analyzing the transportation costs,construction costs,operation and management costs,and maintenance costs within the distribution area of a logistics distribution center,a functional model is established.Adaptive genetic algorithms are used to solve the functional model,and innovative optimization is conducted for the design of genetic codes,the operation rules of crossover and mutation,and the setting of objective functions.Finally,the optimal solution and multiple suboptimal solutions are determined,The feasibility of the model is demonstrated through an example in a certain region.

关 键 词：选址问题 自适应遗传算法 基因编码 

分 类 号：F252[经济管理—国民经济]