首页> 外文会议>International conference on nano-electronics, circuits communication systems >Storage Optimization of Automated Storage and Retrieval Systems Using Breadth-First Search Algorithm
【24h】

Storage Optimization of Automated Storage and Retrieval Systems Using Breadth-First Search Algorithm

机译:使用广度第一搜索算法存储优化自动存储和检索系统

获取原文

摘要

As discussed, BFS searches the nearest neighbors and the returns the nearest empty rack from the I/O point available, thus making the storage faster and optimized. The BFS being a blind searching technique takes longer time to search, but for application in ASRS which is associated with faster processors can reduce the execution time. There are other heuristic searching algorithms which can also be implemented in storage optimization of ASRS. The concept of virtual sensors is very effective and can be implemented according to the need. It is very flexible and can be associated with any searching algorithm for searching the empty racks for ASRS. It can make the system cheaper and simple.
机译:如所讨论的,BFS搜索最近的邻居,并且从可用I / O点返回最近的空机架,从而使存储更快并优化。作为盲目搜索技术的BFS需要更长的时间来搜索,但是对于与更快的处理器相关联的ASR中的应用程序可以减少执行时间。还有其他启发式搜索算法,也可以在ASR的存储优化中实现。虚拟传感器的概念非常有效,可以根据需要实现。它非常灵活,可以与用于搜索ASR的空机架的任何搜索算法相关联。它可以使系统更便宜,简单。

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