基于改进HBA算法的生鲜闭环供应链网络鲁棒优化设计

iming at the design of the fresh food closed-loop supply chain network, this paper introduced a robust optimization model based on the fresh food closed-loop supply chain network, which was established to solve the uncertainty problem in the supply chain network design. Firstly, for the network structure of fresh food supply chain covering 5 nodes, with the goal of minimizing cost and minimizing environmental impact, a mixed integer programming model is established, and the compromise planning and interval data robust optimization method are used for processing. Secondly, based on the original honey badger algorithm, the principle of differential evolution is introduced to enhance the global search ability and convergence speed of the algorithm. Finally, it is shown that there are obvious advantages for the robust optimization model proposed in this paper and the differential honey badger algorithm can solve the closed loop of fresh food in supply chain network design problems efficiently through Matlab numerical analysis and simulation examples.