Collaborative Multi-UAV Tasking Based on Dynamic Energy Consumption
Aiming at the problems of high idle rate and low energy utilization efficiency of multi-drone logistics distribution,a dynamic energy consumption model of UAV is proposed considering the multi-drone distribution sce-nario of simultaneous delivery and pickup and the change of real-time energy consumption of UAVs,based on which the multi-drone simultaneous delivery and pickup task allocation problem is studied.The problem is solved by a ge-netic algorithm,and a hybrid initialization method is designed for the classical genetic algorithm·s dependence on the initial population,easy premature maturity and weak local search ability,and a carnivorous plant algorithm reproduc-tion mechanism is introduced,and the genetic algorithm is improved by designing an in-crossing strategy and a feed-back variation strategy combined with the problem characteristics,and a process elite strategy is introduced.The ex-perimental results show that the improved genetic algorithm can effectively solve the multi-UAV task assignment problem based on dynamic energy consumption.
Multi-dronesDynamic loadBalanced energy consumptionTask allocationGenetic algorithm
NETL
NSTL
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