Abstract
At present, fresh food logistics transportation in China is still in the primary stage of development, transportation costs are rising, and cold chain logistics path design is unreasonable. Therefore, the optimization and prediction of the cold chain transportation route of fresh food has become the focus of the research in this field. Based on the principle of genetic algorithm, this paper designs an improved genetic algorithm to solve the problem of urban cold chain transportation path. In order to optimize the distribution path and minimize the total cost, a cold chain transport model is established. Through the simulation coding and calculation of the model, the influence of genetic algorithm on the optimization of the cold chain transport path is explored to reduce the cost and price of cold chain logistics transport, improve the transport efficiency, and thus improve the economic benefits of enterprises in this field. Through experiments, the optimal solution of the example is obtained, and compared with the traditional algorithm, it is proved that all the paths obtained by the improved genetic algorithm conform to the model with capacity constraint and time window constraint, and there is an optimal path for the most energy saving. In conclusion, the transport path of cold chain logistics calculated by the improved genetic algorithm is more optimized than the traditional algorithm and greatly improves the transport efficiency.
Highlights
Due to the development of food refrigeration technology and transportation technology, the cold chain logistics industry has entered an initial boom period
The improved genetic algorithm could greatly reduce the financial and human resources needed by the cold chain logistics transportation company, better reducing the total cost and achieving the maximum profit
Taking the optimization of the route of fresh food cold chain transportation as the starting point, a specific model case was built, and the costs generated in the whole process were calculated
Summary
Due to the development of food refrigeration technology and transportation technology, the cold chain logistics industry has entered an initial boom period. Reducing the operating cost of cold chain logistics has become a hot issue for the industry and enterprises in this field. Zhang et al [2] designed a sensory perception system for fresh food in cold chain logistics. The system could provide early warning of environmental parameters in the process of cold chain logistics of fresh food, which was helpful to the level of refrigeration information. According to the basic principle of genetic algorithm, this study established a coldchain logistics transportation path model of fresh products based on an improved genetic algorithm, performed optimization selection on it, and solved it to obtain the optimal path combination, which reduced the total cost as much as possible
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