Optimization Of Fresh Agricultural Products Logistics Distribution Route Based On Multi Agent

With the rapid development of economy,people's demand for fresh agricultural products has increased dramatically.However,the market-oriented time of fresh food supply in China is short,and the development of logistics related facilities is also in the initial stage,which can not match with the rapid increase of market demand.At the same time,the distribution of fresh agricultural products has the characteristics of timeliness,high frequency,small batch and uneven distribution of demand points,which improves the difficulty of distribution route planning.Therefore,the original centralized distribution planning method needs to be reformed and innovated.In this paper,the multiagent technology is introduced into the optimization of fresh agricultural products logistics distribution route,and the complex system operation is completed by the cooperation of various agents,which can assist the system to run efficiently,quickly and real-time,and solve the new problems and new demands of fresh agricultural products logistics in the new era.The main contents of this paper are as follows:(1)By analyzing the research status of logistics distribution,fresh agricultural products logistics distribution and agent-based distribution at home and abroad,this paper puts forward the theme of combining multi-agent technology to solve fresh agricultural products logistics distribution.(2)Combined with the characteristics of multi-agent system,the traditional fresh agricultural products distribution system is adjusted and optimized,the multi-agent system model architecture is designed,the specific process and details of interaction and negotiation are analyzed,the internal structure of each agent is summarized in detail,and the extended system architecture of practical application of multi-agent model is constructed.(3)In this paper,the mathematical model and optimization algorithm of fresh agricultural products distribution route optimization based on multi-agent are designed,the results are analyzed and the improvement suggestions are put forward.Firstly,the optimization model under the static demand is constructed,the objective function is the lowest total cost of distribution,which is solved by the improved ant colony algorithm;secondly,the model of demand change is constructed,the objective function is the lowest additional cost caused by the insertion of dynamic demand,which is solved by the insertion algorithm.(4)This paper selects the Jingkelong distribution center and its stores as the case study object to analyze,and obtains the optimal optimization scheme,which provides some solutions for related logistics enterprises.And the extension analysis of the scheme is carried out to verify the applicability of the model and algorithm by adjusting parameters and increasing distribution demand points.There are 23 pictures,21 tables and 38 references.