Based On Improved Artificial Bee Colony Algorithm Of Cold Chain Logistics Vehicle Routing Optimization Method Research

With the economic development and the improvement of living standards,people’s pursuit of material life is higher and higher,the quality requirements of fresh agricultural products and other cold chain transportation products are more and more strict,and the perishability of fresh agricultural products also puts forward higher requirements for cold chain logistics transportation.Limited by the development of cold chain logistics technology,low transportation efficiency and high distribution cost have become the bottleneck restricting the development of cold chain logistics.In this paper,the cold chain logistics vehicle routing optimization problem of distribution center in customer point is studied.By constructing the mathematical model of vehicle routing optimization and improving the artificial bee colony algorithm(ABC)to solve the model,the cold chain logistics vehicle routing is reasonably planned,so as to improve the cold chain logistics transportation efficiency and customer satisfaction,and reduce the distribution cost for enterprises.It is of guiding significance to establish a good image.The main contents of this paper are as follows:(1)A dual objective vehicle routing optimization model considering real-time traffic is constructed.Taking the B2 B cold chain distribution between single distribution center and customer point as the research object,considering the real-time traffic situation on the vehicle path,and with the goal of meeting a certain degree of customer satisfaction and minimizing the total distribution cost,this paper constructs a dual objective vehicle routing optimization model considering real-time traffic and a dual objective vehicle routing optimization model under static road network.(2)Select and improve the model solving algorithm.This paper analyzes and compares the advantages and disadvantages of accurate algorithm and heuristic algorithm,and selects ABC algorithm as the basic algorithm to solve the model.Combined with the characteristics of cold chain logistics,aiming at the disadvantages of ABC algorithm,this paper introduces flower fragrance mechanism and concentration adjustment mechanism of artificial immune algorithm to improve ABC algorithm,and applies the improved ABC algorithm to solve the model.(3)Case design and analysis.In order to verify the practicability of the model and the effectiveness of the algorithm,according to the information of agricultural products customer point in a logistics park,the paper designs a relevant example,uses the improved ABC algorithm to solve the model,compares the results of the two models,and compares the improved ABC algorithm with the other two algorithms.The experimental results show that the dual objective vehicle routing optimization model considering real-time traffic is more suitable for the actual cold chain logistics transportation,and the improved ABC algorithm has better ability to solve the model.