根据目前自动化仓储系统提出了蚁群算法的一种改进型优化算法。通过分析自动化仓储系统的工作特性,建立与之相类似的数学模型,加入特殊的空闲优化模式,结合遗传算法对原有的蚁群算法进行优化。在长时间连续工作的自动化仓储系统中,采用优化后的蚁群算法迭代计算次数更少、计算时间更短、并且最小路径更优化,更适应于现代化仓储系统。 According to the current automated warehousing system, an improved ant colony optimization algorithm is proposed. By analyzing the working characteristics of automated warehousing system, a mathematical model similar to that is established, a special idle optimization mode is added, and the original ant colony optimization algorithm is combined with genetic algorithm. In the long-term continuous operation of the automated warehousing system, the optimized ant colony algorithm is less iterative, less computational time, and the minimum path is more optimized, more suitable for modern warehousing systems.