Abstract
Facing the backward traffic conditions in the western rural areas, based on the analysis of the actual situation of agricultural e-commerce in the western region, the vehicle routing optimization model of agricultural e-commerce is scientifically established. The fitness function and improved selection operation, crossover operation and mutation operation are reasonably selected, the improved genetic algorithm is proposed, and the application value of the proposed algorithm in agricultural product e-commerce is introduced. The simulation results show that compared with genetic algorithm, the improved genetic algorithm uses less iterative steps and has better optimal solution. The model provides the optimal vehicle distribution path for agricultural product e-commerce enterprises or farmers in western rural areas, and improves the service quality of agricultural product e-commerce in western rural areas.
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Zhang, S. (2023). Research on the Teaching Application of the Improved Genetic Algorithm in E-commerce. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_47
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