基于免疫-退火混合算法的物流集散管理研究

Research on logistics distribution management based on immune-annealing hybrid algorithm

针对物资在集散中心与需求点之间的合理分配与调度问题,将确定选址以保证物资快速流通的为目标函数,通过约束需求点、集散中心和物资辐射范围构建约束条件,利用免疫优化算法从样本中选择出物资集散中心位置,并结合退火算法求得全局最优解,从而免疫优化与模拟退火算法的混合结果能够以最优最快的方式解决物资集散中心的选址与路径问题。最后针对江苏省的13个地市的物流集散中心选址与路径进行分析,确定了最优位置和最佳路径。

Aiming at the reasonable allocation and scheduling problem of the product in the distribution center and the demand point,the target function is established to ensure the rapid circulation of the product,and the constraint condition is constructed by restricting the demand point,the distribution center and the radiation range of the product. By optimization algorithm from the sample it selected the product distribution center location,combined with the annealing algorithm to obtain the global optimal solution,so immune optimization and simulated annealing algorithm hybrid results can be the best and fastest way to solve the agricultural product distribution center location and path problem. Finally,the location and path of the logistics distribution center of 13 cities in Jiangsu province are analyzed,and the optimal location and the optimal route are determined.