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Research on the Optimization of Logistics Distribution Route of Fresh Agricultural Produce under Internet of Things

LI Chang-bing, WANG Er-jing, YUAN Jia-bin   

  1. School of Economics and Management, Chongqing University of Posts and Telecommunications,Chongqing 400065, China)
  • Received:2016-11-07 Online:2017-04-18

Abstract: For the shortcomings of logistics distribution mode of traditional fresh agricultural produce, after considering the advantages of Internet of Things and the characteristics of fresh agricultural produce, this paper sets up multi-objective route optimization model that takes he highest customer satisfaction and the lowest delivery cost as goal under Internet of Things with fuzzy time window function, customer satisfaction function, agricultural produce loss function and other major constraint conditions introduced, and puts forward a new distribution mode under the Internet of Things; the model is simulated on the basis of Matlab software and improved genetic algorithm, and the optimal solution of the model is obtained by the superposition of several genetic algorithms, to provide reference for people to choose logistics distribution route of fresh agricultural produce.

Key words: Internet of Things, fresh agricultural produce, optimization of route, improved genetic algorithm