Abstract
With the development of cold chain technology and the improvement of people's living standards, the demand for cold chain logistics is becoming more and more prosperous. In view of the fact that most cold chain logistics companies still have many problems such as high distribution costs and untimely distribution. Considering the high cost of cold chain transportation, the total cost of the five costs of fixed cost, fuel consumption cost, refrigeration cost, cargo damage cost, and penalty cost is the minimum optimization goal, a cold chain logistics distribution route optimization model is constructed, and genetic algorithm and hybrid are designed. Particle swarm optimization solves the problem, and the optimized path effectively reduces the company's cold chain distribution time and cost, and improves the efficiency of cold chain transportation.
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