Study of a large-scale non-linear optimal model on reverse logistics network
大规模逆向物流网络非线性优化模型的研究

The research of reverse logistics is receiving much attention recently along with growing environmental and the saving concern. This paper studies a non-linear mixed integer model of big size, multi-recover product reverse supply chain. Its objective is to minimize the total cost of the reverse net. Furthermore, an improved genetic algorithm is designed for the model. Finally, the model is tested on an example for illustrating its feasibility and effectiveness.