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

机译:使用广度优先搜索算法的自动存储和检索系统的存储优化

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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:如前所述,BFS会搜索最近的邻居,并从可用的I / O点返回最近的空机架,从而使存储更快,更优化。 BFS是一种盲目搜索技术,需要更长的时间进行搜索,但是对于ASRS中与更快的处理器关联的应用程序,它可以减少执行时间。还有其他启发式搜索算法,也可以在ASRS的存储优化中实现。虚拟传感器的概念非常有效,可以根据需要实施。它非常灵活,可以与用于在空机架中搜索ASRS的任何搜索算法关联。它可以使系统更便宜,更简单。

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