一种快递物流中心选址的优化算法

An Optimization Algorithm for Location of Express Logistics Center

针对快递物流中心选址问题,设计了一种优化算法。首先,按照需求点的货运量大小,创建初始被选概率矩阵。其次,运用初始被选概率矩阵在需求点中随机生成60组物流中心,求出最优的一组物流中心。最后,更新在最优组出现过的需求点的被选概率,并运用更新过的被选概率矩阵在需求点中重新生成60组物流中心,如此叠加运算。此算法程序简洁、易读、运算速度快,可以快速求出我国31个主要城市物流的最佳路径。

Aiming at the location problem of express logistics center, an optimization algorithm is designed. The idea is to create the initial probability matrix according to the freight volume of the demand point, generate 60 groups of logistics centers randomly in the demand point by using the initial probability matrix, find the optimal logistics center, and update the existing logistics centers in the optimal group. The selected probability of the demand points is then used to regenerate 60 groups of logistics centers from the demand points by using the updated selected probability matrix. This algorithm program is simple, easy to read, fast operation, it can easily find the best logistics path of 31 major cities in China.