A study on optimizing fresh food delivery routes considering the cost of carbon emissions for electric vehicles
The rapid development of electric vehicles has upgraded and transformed the logistics industry. While meeting all the conditions for the electric vehicle power, distribution service time window, and vehicle load restrictions, the carbon emission cost of electric vehicles is thoroughly considered, and the fixed cost, transportation cost, refrigeration cost, cargo damage cost and charging cost of electric vehicles are combined to build the objective function of minimum cost. The improved K-means clustering algorithm and the ant colony algorithm in the heuristic algorithm are employed to solve the minimum value of the objective function and obtain the optimal fresh delivery route. The accuracy of the model is verified by experimental simulation, and the costs of fresh food distribution using electric vehicles and fossil fuel powered ones are compared and analyzed. Our results show the electric vehicle has lower distribution costs and causes less pollution. Meanwhile, it is faster and more accurate to employ the hybrid algorithms to design the optimal path, providing some references for enterprises to choose more competitive distribution tools in the future.
electric vehicleshybrid algorithmfresh food deliverycarbon emission cost
国家科技期刊平台
NSTL
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