Cold Chain Logistics Low-carbon Vehicle Routing Optimization with Improved Refrigeration Cost:Based on Adaptive Large Neighborhood Search Genetic Algorithm
Aiming at the problem of the difficulties of calculating refrigeration costs,high carbon emissions,and the risk of chain virus infection in cold chain logistics vehicle distribution,this paper first puts forward the cold chain logistics vehicle refrigeration unit time fuel consumption factor,combined with the practice,to calculate the refrigeration cost from four stages.Then,the virus infection risk cargo loss factor is introduced into the cargo loss cost function.Based on it,the mathematical model of low carbon vehicle routing optimization in cold chain logistics to minimize the total distribution cost is established,and a genetic algorithm based on adaptive large neighborhood search(ALNSGA)is designed to solve it.The algorithms are compared and analyzed through real examples and simulation experiments.The results verify the effectiveness of the model and the algorithm.
vehicle routing optimizationcold chain logisticsrisk of the epidemiclow carbonadaptive large neighbor-hood search
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