首页> 外文会议>International conference on swarm intelligence;ICSI 2010 >A Scatter Search Algorithm for the Slab Stack Shuffling Problem
【24h】

A Scatter Search Algorithm for the Slab Stack Shuffling Problem

机译:平板栈板混洗问题的散点搜索算法

获取原文

摘要

Slab Stack Shuffling (SSS) problem is a kind of warehousing operations management problem abstracted from steel industry. SSS problem is to choose appropriate slabs for hot rolling schedule with the objective of minimizing shuffles during the retrieval process. Different from previous literatures, the substitute of slabs is a set of slabs which satisfy the given order demand. The problem in this paper considers balancing the shuffles between two sub-yards and the measurement of one shuffle is also different. The problem is formulated as an integer programming model by considering above practical requirements. The complexity of the model motivated us to develop a scatter search algorithm to solve the problem approximately. Problem-oriented coding scheme and solution combination method are proposed in scatter search. The computational results tested on real data show that the shuffles are decreased by 36.9% in average compared with the manual schedule.
机译:板坯改组(SSS)问题是从钢铁行业抽象出来的一种仓储运营管理问题。 SSS问题是为热轧时间表选择合适的板坯,目的是在取回过程中最大程度地减少打乱。与以前的文献不同,平板的替代是一组满足给定订单需求的平板。本文中的问题是考虑平衡两个子码之间的混洗,并且一个混洗的度量也不同。考虑到上述实际要求,将该问题表述为整数规划模型。该模型的复杂性促使我们开发一种分散搜索算法来近似解决该问题。在散点搜索中提出了面向问题的编码方案和解决方案组合方法。在实际数据上测试的计算结果表明,与手动计划相比,洗牌率平均降低了36.9%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号