Path Optimization of Fresh Products in Community Group-buying Considering Carbon Emission
The cold chain distribution of community group-buying fresh products has the characteristics of high carbon emission,many customer points,etc.At the same time,affected by the perishable property of community group-buying fresh products,community group-buying distribution is a complicated optimization problem.Aiming at minimizing the total cost,a path optimization model of community group-buying fresh products distribution was constructed considering carbon emissions,and an improved Gray Wolf optimizer algorithm was designed for solution.Then,this paper improves the parameter update formula of Grey Wolf Optimizer algorithm,and introduces genetic algorithm variation strategy,aiming to improve the effectiveness of the algorithm and obtain the global optimal solution.Finally,a practical example is given to verify the effectiveness of the model and algorithm.The results show that the model established and the algorithm designed in this paper have certain practicability to solve the low-carbon logistics problem of community group-buying.
community group-buyinglow-carbon logisticsvehicle path problemGrey Wolf Optimizer
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