Research On The Optimization Of Fresh Products Distribution Routing In The Same City

In recent years,the scale of China's fresh e-commerce market has developed rapidly,and the short-lived and corrosive nature of fresh produce has made it extremely demanding on logistics and distribution,and then logistics cost is a big expense for fresh produce e-commerce.Logistics distribution has become an important factor affecting the development of fresh e-commerce.Therefore,it is of practical significance to study how to reduce the distribution cost of fresh agricultural products.In order to solve the problem of reducing the logistics distribution cost of fresh produce e-commerce.This paper analyzes the optimization of vehicle distribution route from the analysis of the optimization problem of fresh food distribution route in the same city faced by a fresh agricultural product e-commerce company(hereinafter referred to as company A)in Nanchang City.The mathematical model of this problem is established by minimizing the total travel journey of the vehicle as the first optimization goal,minimizing the number of vehicles used as the second goal,considering the delivery time of the single vehicle and the constraints of the load of the vehicle.In order to get solution to the the mathematical model,this paper designs genetic algorithm,ant colony algorithm and continuous Hopfield neural network algorithm,and makes corresponding improvements to make it more suitable for solving this problem.In order to verify the effectiveness of the algorithm,this paper takes the actual distribution work of Company A on a certain day is taken as an example,and the improved genetic algorithm,ant colony algorithm and continuous Hopfield neural network algorithm are implemented by Java,and then the example is solved to obtain the distribution of the example.Comparing the optimized plan of distribution routes are made by each algorithm,the improved genetic algorithm and the improved ant colony algorithm are all significantly superior to the distribution routes made and utilized by working staff based on their own experience in this e-commerce company at present.Although the continuous Hopfield neural network algorithm can not directly obtain the distribution line optimization scheme,it can further optimize the distribution route derived from the distribution route and genetic algorithm developed by the staff based on experience,and the optimization effect is also very significant.