Multi-objective Cold Chain Logistics Route Optimization Considering Road Risk Under the Background of “Dual Carbon”

Fresh product distribution, as a key part of fresh e-commerce market competition, needs to have high timeliness and reliability. Reasonable optimization of distribution routes can enable companies to save distribution cost and improve customer satisfaction. This paper constructs a hybrid nonlinear integer programming model based on carbon emissions and road risk coefficients by considering delivery time, cost, and distance, and designs an improved genetic algorithm to solve the model. Finally, Beijing J e-commerce fresh distribution was taken as an example to verify the model, optimize the fresh distribution path, and lay a decision foundation for decision makers.