Research On Distribution Route Optimization Of J Logistics Company Based On Mountain Climbing-ant Colony Algorithm

Logistics is the foundation for the stable economic development of enterprises.How to effectively reduce logistics costs and maximize enterprise benefits is the focus of the entire logistics industry.In terms of logistics activities,the operating cost of enterprises remains high,especially the transportation cost far exceeds the average level of developed countries.The development of the domestic logistics industry is relatively late,and there is still a big gap compared with foreign countries.The main reason for this is that there is no reasonable transportation planning.Therefore,rationally arranging logistics transportation routes and reducing logistics costs are important keys to promoting the healthy development of the industry.The main contents of this paper are as follows:By searching domestic and foreign journal papers,the development status of logistics industry is studied.This paper expounds the practical background and research significance of the logistics distribution vehicle routing problem,and introduces the research results of domestic and foreign scholars in this area,as well as the principles and characteristics of the algorithms commonly used to solve this problem.Finally,it points out the current research on logistics distribution vehicle routing problems.The shortcomings of the paper and the main development trend of this topic in future research;according to the actual operation of J logistics company,optimize the existing vehicle distribution routes of J company,and then combine the actual data to design vehicles more in line with J company distribution routes;systematically study the ant colony algorithm and the hill-climbing algorithm respectively,analyze the advantages and disadvantages of the ant colony algorithm and the hill-climbing algorithm,and design the mountain climbing-ant colony algorithm;build a multi-vehicle vehicle routing problem model with capacity constraints,and The algorithm of mountain climbing-ant colony is used to solve the model,and then the effectiveness of the algorithm is verified by comparative analysis of actual data.The problem model constructed in this paper is based on the traditional vehicle routing problem model,considering the impact of vehicle types,time constraints,etc.on the traditional vehicle routing problem modeling,both in terms of research depth and research difficulty.At the theoretical level,this paper broadens the research theories and methods in the field of vehicle routing problems.At the practical level,it provides a certain reference for the logistics enterprises to optimize the distribution route,so as to achieve the goal of effectively reducing the logistics cost.