Distribution path optimization of multi-center electric refrigerated vehicles under time-varying network
In order to effectively address the challenge of electric vehicle power limitation in the cold chain logistics distribution,considering the continuous change characteristics of traffic flow and the multi-center trend of the cold chain logistics distribution,the vehicle power constraint is introduced,the energy consumption cost of electric vehicles is added to the objective function,and a multi-center electric refrigerated vehicle distribution path optimization model under time-varying network is constructed.An improved ant colony algorithm is designed,the neighborhood search range is expanded by optimizing the initial pheromone and adjusting the transfer probability,and the tempering mechanism of simulated annealing algorithm and limiting the pheromone concentration are introduced to avoid the algorithm falling into the local optimum solution.The simulation results show that,the proposed model can solve the problem of power limitation of electric vehicles in cold chain logistics distribution effectively;the improved ant colony algorithm can reduce the distribution cost and shorten the distribution distance,and has the characteristics of the fast convergence and high efficiency,thus verifying the effectiveness of the algorithm.
time-varying networkmulti-center distributionelectric refrigerated vehicleimproved ant colony algorithm
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