Optimization of Green Cold Chain Logistics Based on Improved Artificial Bee Colony Algorithm
Aiming at the problems of high transportation cost,high corruption rate and high pollutant emission in cold chain logistics,an optimization model of green cold chain distribution path considering vehicle operation cost and carbon emission in cold chain distribution process was established.In order to avoid falling into local optimum,the artificial bee colony algorithm was improved by adding bacteria foraging behavior and fireworks explosion operator to speed up the convergence of the algorithm and improve the calculation accuracy.The improved algorithm was applied to the optimization model of cold chain logistics distribution path of fresh products,and the experimental simulation was carried out.The results show that compared with the traditional artificial bee colony algorithm and ant colony algorithm,the improved artificial bee colony algorithm has better distribution path planning scheme,which could better balance the costs of distribution and pollutant discharge.
万方数据
维普
