Based on the problems of increasing demand for logistics delivery and limitations of vehicle and drone deliv-ery,this paper proposed collaborative delivery of vehicles and drones with dynamic energy consumption(CDVD-DEC).To minimize delivery cost,a mixed integer linear programming model was established.The limitations such as multi-point de-livery by drones and customer point differences were considered in the constraints.A hybrid ant colony optimization based on adaptive large neighborhood search(HACO-ALNS)was designed to solve the model,genetic algorithm was incorpo-rated in the ant colony optimization,a new heuristic factor was designed.The experimental results show that HACO-ALNS has good solution accuracy and running speed on different scale cases.The comparison with different delivery modes shows that the drone loading rate for multi-point delivery is 22.1％higher than for single-point delivery,and the average cost reduction for dynamic energy consumption mode compared to fixed energy consumption is 3.31％.
vehicles-dronescollaborative deliverydynamic energy consumptionACOALNS
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