摘要
现有船舶电子商务物流中心站选址方法以时间路径最短为目标,存在着选址合理性参数较小的问题,为了解决上述问题,提出遗传算法的船舶电子商务物流中心站优化研究。依据船舶物流特点构建物流中心站选址模型,构建模型是一个NP-hard问题,利用遗传算法寻求全局最优解,通过编码、初始化种群、适应度评价、遗传算子操作以及遗传算法求解确定最佳船舶电子商务物流中心站的位置,实现船舶电子商务物流中心站的优化。实验结果显示:与现有代表方法相比较,本文方法用户到物流中心站位置的单位运输时间较短、单位运输成本较低,表明本文方法选址合理性参数较大,具备更好的应用前景。
The existing method of site selection for ship e-commerce logistics center is based on the shortest time path,which has the problem of small site selection parameters.In order to solve the above problems,an optimization study of ship e-commerce logistics center based on genetic algorithm is proposed.Based on characteristics of ship flow to build the logistics center location model,building model is a NP hard problem,by using the genetic algorithm to seek the global optimal solution,through the coding,initial population,fitness evaluation,genetic operators and the genetic algorithm to determine the best shipping operation e-commerce logistics center location,realized the optimization of e-commerce logistics center of the ship.The experimental results show that:compared with the existing representative method,the proposed optimization method has shorter unit transportation time and lower unit transportation cost from the user to the location of the logistics center station,indicating that the proposed optimization method has more reasonable parameters for site selection.
作者
孙勇
SUN Yong(Henan Vocational College of Applied Technology,Zhengzhou 450042,China)
出处
《舰船科学技术》
北大核心
2020年第16期193-195,共3页
Ship Science and Technology
基金
河南省重点研发与推广专项软科学资助项目(192400410329)
关键词
遗传算法
电子商务
物流
中心站优化
genetic algorithm
e-commerce
logistics
central station optimization
