CAJ | 학술논문

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。
근거목전자동화창저계통제출료의군산법적일충개진형우화산법。통과분석자동화창저계통적공작특성，건립여지상유사적수학모형，가입특수적공한우화모식，결합유전산법대원유적의군산법진행우화。재장시간련속공작적자동화창저계통중，채용우화후적의군산법질대계산차수경소、계산시간경단、병차최소로경경우화，경괄응우현대화창저계통。
According to the current automatic warehousing system, the paper puts forward a modified optimization algorithm of ant colony algorithm. By analyzing the working characteristics of automated warehousing systems, the authors set up a similar mathematical model with it, add in special free optimization mode, and combine with genetic algorithm to optimize the original ant colony algorithm. The optimized ant colony algorithm is applied to automated warehousing system in long-time continuous working, leading to fewer iteration times, less computation time, and more optimized shortest path, thereby more suitable to the modern warehousing system.