摘要
为保持生鲜食品的新鲜度,缩短在途时间和节省配送成本,建立了冷链配送中心选址模型。该模型以系统总成本最低为目标函数,结合生鲜食品的流通过程,形成了基于原产地、配送中心、生鲜超市的选址分配。采用遗传算法,运用MATLAB编程进行仿真,通过编码、选择、交叉等遗传算子,利用算例对选址模型进行仿真求解,仿真结果表明,遗传算法可实现资源配置,规划配送中心的选址分配。
In order to maintain the freshness of fresh food,shorten the transit time and save the distribution cost,a location model of cold chain distribution center was established.The model takes the lowest total system cost as the objective function,and combines the circulation process of fresh food to form the location allocation based on the origin,distribution center and fresh supermarket.Using genetic algorithm,MATLAB programming and examples,the location model was simulated through coding,selection,cross and other genetic operators.Simulation results show that the genetic algorithm can realize resource allocation,and plan location allocation for the distribution centers.
作者
温小郑
张静
WENG Xiaozheng;ZHANG Jing(School of Economics and Management,Xi'an University of Posts and Telecommunications,Xi'an 710121,China)
出处
《西安邮电大学学报》
2018年第6期94-98,106,共6页
Journal of Xi’an University of Posts and Telecommunications
关键词
选址问题
遗传算法
生鲜食品
site selection problem
genetic algorithm
fresh food
