摘要
将免疫蚁群算法引入到求解常规医疗器械物流配送路径优化问题中,结合免疫算法和蚁群算法的优点,相对于基本蚁群算法求解常规医疗器械配送路径优化问题,免疫蚁群算法具有更快的收敛速度、更短的搜索时间。通过实验仿真,证明免疫蚁群算法的优化结果优于蚁群算法。
In this paper immune ant colony optimization is introduced into solving the problem of distribution routing optimization of conventional medical apparatus and instruments, which combines the advantages of immune ant colony optimization with those of ant colony optimization. Compared with the basic ant colony optimization, the immune ant colony optimization has faster convergence speed and shorter search time. The simulation experiments show that the results of immune ant colony optimization are superior to those of ant colony optimization.
出处
《天津商业大学学报》
2010年第2期50-53,68,共5页
Journal of Tianjin University of Commerce
基金
山西省科技攻关资助课题(20090321020)
关键词
免疫算法
蚁群算法
路径优化
医疗器械
immune ant colony optimization
ant colony optimization
routing optimization
medical apparatus and instruments
