随着人们环保节约意识的增强，逆向物流系统的研究越来越受到关注。本文以最小化逆向物流网络整体成本为目标，建立了大规模多回收产品非线性逆向供应链模型，并针对模型用改进的遗传算法求解。最后，用一个具体算例验证其可行性与有效性。

The research of reverse logistics is receiving much attention recently along with growing environmental and the saving concern. This paper studies an 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, a improved genetic algorithm is designed for the model. Finally, the model is tested on an example for illustrating its feasibility and effectiveness.