Application Of Cold Chain Low Carbon Logistics Routing Optimization Based On Improved Artificial Bee Colony Optimization Algorithm

With the continuous improvement of people’s living standards,the demand for cold chain products is increasing.In the process of cold chain logistics distribution,the requirements of product freshness and delivery time are high,which leads to the increase of distribution cost of logistics enterprises.Cold chain logistics enterprises also need to meet the requirements of national green environmental protection,minimize carbon emissions and realize “peak carbon dioxide emissions" and "carbon neutralization".Therefore,based on the analysis of the development trends of cold chain logistics at home and abroad,aiming at minimizing the cost of logistics enterprises,and comprehensively considering the relevant costs affecting logistics distribution,this paper constructs a mathematical model for the optimization of cold chain low-carbon logistics distribution path,and uses the improved artificial bee colony algorithm to optimize it.Main works accomplished in this paper are as following:(1)Considering the distribution vehicle cost,transportation cost,loss cost in the process of product transportation,refrigerant cost of cold chain logistics vehicle,carbon emission cost of vehicle,penalty cost of not delivering within the time required by customers and many other factors,a cold chain low-carbon logistics distribution path optimization model with the lowest total cost is constructed.(2)An improved artificial bee colony algorithm(FCABC)based on artificial fish swarm algorithm and genetic algorithm is proposed,and the new improved algorithm is applied to the mathematical model of low-carbon cold chain logistics to solve the path optimization problem.Firstly,based on the artificial bee colony algorithm,the swarm behavior of the artificial fish swarm algorithm is used to improve the leading bee stage of the artificial bee colony algorithm and make its better solution closer.At the same time,using the underdamped motion in physics,the field of view of the introduced artificial fish swarm algorithm is updated adaptively to speed up the convergence speed.In the following bee stage,the crossover operator is used to obtain a new solution.Secondly,the improved artificial bee colony algorithm is verified by using the classical traveling salesman problem.Simulation results show that the improved artificial bee colony algorithm is superior to the original artificial bee colony algorithm and the improved artificial bee colony algorithm based on Genetic Algorithm in optimization ability,reliability,convergence efficiency and stability.Finally,FABC algorithm is used to solve the mathematical model of low-carbon cold chain logistics distribution path.The experimental simulation shows that the distribution model solved by FABC algorithm is better and reduces the distribution cost of logistics enterprises.(3)An improved artificial bee colony algorithm(BABC)based on bacterial foraging algorithm is proposed.The new improved algorithm is applied to the mathematical model of cold chain low-carbon logistics,so as to solve the problem of path optimization.Firstly,based on the artificial bee colony algorithm,the trend operation is used to improve the neighborhood search method in the leading bee stage and following bee stage,and the replication operation is used to retain excellent solutions in the reconnaissance bee stage,so as to increase the solution speed and accuracy.Secondly,the improved artificial bee colony algorithm is verified by using the classical traveling salesman problem.Simulation results show that the improved artificial bee colony algorithm is better than the original artificial bee colony algorithm and bacterial foraging algorithm in optimization ability,reliability,convergence efficiency and stability.Finally,BABC algorithm is used to solve the mathematical model of low-carbon cold chain logistics distribution path.The experimental simulation shows that the distribution model solved by BABC algorithm is better and reduces the distribution cost of logistics enterprises.(4)Taking the distribution route optimization of fresh products in 13 cities in Beijing Tianjin Hebei metropolitan area as an example,ABC algorithm,FCABC algorithm and BABC algorithm are used to solve the optimization problem respectively.Simulation results show that the total cost of FCABC algorithm and BABC algorithm is less than that of ABC algorithm,and FCABC algorithm can obtain the lowest cost distribution path scheme.