机构地区: 上海大学机电工程与自动化学院,上海200072
出 处: 《工业控制计算机》 2017年第8期59-60,63,共3页
摘 要: 随着钢制品的生产以及物流的自动化程度不断提高,钢制品仓库自动化技术得到越来越多的重视和应用。在宝钢自主研发的无人化行车系统中,针对钢卷的入库库位优化问题,提出一种基于遗传算法的钢卷仓库库位优化模型,可以准确高效地实现钢卷仓库中库位的优化应用。 In view of the steel coil storage optimization used on UACS(Unmaned Automative Crane System) developed by Baosteel,this paper provides a steel coil warehouse storage optimization method based on genetic algorithm,which could figure out the best alternatives of storage optimization accurately and efficiently.