The Research On Optimizing Route Of Cold Chain Logistics Based On Artificial Fish Swarm Algorithms

With the development of China's economy and the improvement of people's living standards,fresh cold chain products are more and more popular.The increase of market demand promotes the development of cold chain logistics in China.In this paper,the cold-chain logistics of fresh food is taken as the research object.By constructing the optimization model of cold-chain logistics distribution path,the model is solved by using the improved artificial fish swarm algorithm,which minimizes the cost of the model and maximizes the economic benefits.The main work of this paper is as follows:(1)Based on the analysis of the existing mathematical model of cold chain logistics distribution path,the mathematical model of cold chain logistics distribution path with the minimum total cost is studied,considering the related factors such as fixed cost,transportation cost,cargo damage cost,refrigeration cost and penalty cost in the process of cold chain logistics distribution.(2)Aiming at the problem of optimizing the mathematical model of cold-chain logistics distribution route with minimum total cost,the algorithm principles and implementation steps of three algorithms,basic artificial fish swarm algorithm,DNA artificial fish swarm algorithm and chaotic artificial fish swarm algorithm,are expounded respectively.The solving steps and algorithm flow for solving the mathematical model of cold-chain logistics distribution route are studied.Computer simulation verifies the effectiveness of the algorithm.(3)Using 13 cities in Beijing-Tianjin-Hebei metropolitan area as an example,the basic artificial fish swarm algorithm,DNA artificial fish swarm algorithm and chaotic artificial fish swarm algorithm are used to verify the results,and the lowest total cost distribution scheme of cold chain logistics in Beijing-Tianjin-Hebei metropolitan area is obtained.Compared with the optimization results of the basic artificial fish swarm algorithm,the DNA artificial fish swarm algorithm has the best optimization results,followed by the chaotic artificial fish swarm algorithm.Finally,the corresponding suggestions are given.