免疫算法求解配送中心选址问题，配送中心向需求点配送货物是供应链中的重要部分.本文以成本最低为目标函数,把距离上限加入到惩罚机制,并根据抗体和抗原之间的亲和力设计自适应交叉和变异概率,把自适应的免疫算法应用到配送中心模型中进行求解,最后通过仿真实验对比验证了算法用在配送中心选址上有较好的效果.(Immune Algorithm is used to solve the location problem of Distribution Center, which is an important part of supply chain. This paper takes the lowest cost as the objective function, adds the upper distance limit to the penalty mechanism, and designs the adaptive crossover and mutation probability according to the affinity between antibody and Antigen, the adaptive immune algorithm is applied to the distribution center model to solve the problem. Finally, the simulation results show that the algorithm is effective in the location of Distribution Center.)