物流配送路径优化研究——以广州白云区广州火车站菜鸟驿站为例

Research on the Optimization of Logistics DistributionPath-Taking CAINIAO Station of Guangzhou RailwayStation in Baiyun District,Guangzhou as an Example[Abstract]In order to achieve the purpose of energy saving and emissionreduction for logistics and distribution vehicles,the goal of low cost and low exhaustgas pollution is realized in the optimization of logistics distribution routes.Whetherthe logistics distribution path is reasonable determines distribution speed anddistribution efficiency.The logistics distribution path optimization,which plays animportant role in the logistics distribution system,needs a fast and effective algorithmto solve it.Based on the analysis of the logistics distribution path optimizationproblem,the genetic algorithm and the ant colony algorithm basic model,all aspectsof the genetic algorithm and the ant colony algorithm were analyzed and improved tooptimize the search ability and accelerate the convergence speed.The satisfactorycalculation results for a given problem are reported,indicating that the improved antcolony algorithm is useful and effective.Aiming at the shortcomings of the existinggenetic algorithm and ant colony algorithm,the ant colony algorithm has thecharacteristics of slow convergence and easy implementation,etc.During the pathoptimization process,the genetic algorithm converges too early and the process iscomplicated.The optimization of logistics distribution routing,which played an important rolein the logistics distribution system,needed to be solved by a fast and effectivealgorithm.This article takes CAINIAO Station of Guangzhou Railway Station inBaiyun District,Guangzhou as an example,based on analyzing the optimizationquestion of logistics distribution routing and the basic model of ant colony algorithmthe paper improved many aspects of the ant colony algorithm to optimize the