Abstract: In order to solve the optimization problem of fresh agricultural products logistics distribution system, considering the characteristics of short shelf life of fresh agricultural products, combined with the overall optimization idea of farm products logistics distribution network model, a cold chain logistics network optimization model based on hybrid genetic algorithm was established. This optimal model aims at the total operation cost of the logistics network, introduces carbon tax policy to analyze the impact of carbon tax on the total cost and carbon emissions, and proves that carbon tax policy can effectively reduce carbon dioxide emissions in the farm products logistics network. The simulation results obtained from the actual case analysis show the applicability of the model, which provides a green location allocation scheme for agricultural logistics enterprises.

Key words: agricultural products logistics, location routing problem, hybrid genetic algorithm, carbon emissions