Research On Vehicle Routing Problem Of Fresh E-commerce Based On Improved Moth-flame Optimization Algorithm

Since the end of 2019,the sudden outbreak of COVID-19 worldwide has had a profound impact on residents’ lifestyle.The decrease of residents’ going out has contributed to the rise of fresh food ecommerce.Distribution route choice is to affect the cost of raw electricity business logistics enterprises and an important factor of customer satisfaction,with capacity constraint is built in this paper,fresh with soft time window electricity mathematical model for vehicle routing problem,put forward the improved mothflame optimization algorithm to solve the model,can effectively reduce logistics operation cost,It provides reference and reference value for fresh electric business enterprises’ vehicle distribution problems.To further study the vehicle routing problem of fresh e-commerce based on time-varying traffic,compare and analyze the difference between time-varying road network and model without considering real-time traffic network,and provide theoretical and method basis for in-depth study of vehicle routing problem of fresh e-commerce under time-varying traffic environment.For fresh electricity field,low efficiency of logistics distribution,logistics operation cost is high,the fresh electric vehicle routing problem is studied,first of all,build fresh with capacity constraint electric vehicle routing optimization model,and design the hybrid moth-flame optimization algorithm to solve it,the experimental results show that the feasibility of the hybrid moth-flame optimization algorithm,effectively reduce the fresh electric business enterprise operating costs,provide reference for the path optimization of fresh electricity business enterprises.Secondly,considering customer satisfaction,a soft time window vehicle path optimization model for fresh food e-commerce was built with the goal of highest customer satisfaction and minimum total cost,and an adaptive improved moth-flame optimization algorithm was designed to solve it.Finally,according to the time-varying and complexity of the traffic network,the fresh e-commerce vehicle routing model of time-varying traffic is constructed.This study can restore the distribution scene to the maximum extent and provide strong support for the distribution activities of fresh ecommerce enterprises by reasonable arrangement of distribution routes.The results show that the model and algorithm are in line with the reality of the development of fresh e-commerce enterprises,and have important reference significance to improve the service quality of China’s fresh e-commerce logistics industry and ensure the quality and safety of fresh products.In this paper,fresh e-commerce vehicle routing problem in-depth research and optimization,on the one hand in reducing fresh e-commerce enterprises logistics operating costs at the same time help to improve the quality of service,improve customer satisfaction to the enterprise;on the other hand,it helps to reduce the bottleneck of logistics distribution in fresh e-commerce and effectively implement and operate logistics distribution.The study broadens the basic theory of vehicle routing optimization,enriches the algorithm research of vehicle routing problem,and has certain theoretical value and practical significance for the future development of fresh e-commerce vehicle routing optimization.