Research on the Location-allocation Problem of Urban Logistics UAV Distribution Centers
Aiming at the location-allocation problem of unmanned aerial vehicle(UAV)distribution center in urban logistics distribution environment,this paper comprehensively considers the characteristics of urban areas and the performance constraints of UAV,and with the goal of minimizing the sum of construction cost,distribution cost,power consumption cost and environmental cost of carbon emission,a mathematical model of location-allocation of urban logistics UAV distribution center under multiple constraints was constructed.Then,combining the advantages and disadvantages of Genetic Algorithm(GA)and Particle Swarm Optimization algorithm(PSO),the GA is embedded into PSO algorithm to solve the problem.Finally,the simulation environment is established based on Python language,and the effectiveness of the model and algorithm are verified by example solving and sensitivity analysis.
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