With the rapid growth of pharmaceutical cold chain market demand,more and more cities and enter-prises are adopting the multi-distribution center mode,so it is particularly important to study the optimization of pharmaceutical cold chain paths under the multi-distribution center mode in order to reduce distribution costs.In the actual distribution process,due to the traffic congestion problem,the distribution vehicles cannot maintain a certain speed,which in turn may lead to an increase in distribution costs.Based on this,a model for optimizing the pharma-ceutical cold chain logistics path with multiple distribution centers is formulated,taking into account time-varying speeds.The solution to this model involves the integration of genetic algorithm and particle swarm algorithm methodol-ogies.The results of numerical examples show the rationality of the model and the effectiveness of the algorithm.
维普
万方数据