计算机设备数据库存搜索的MPSO算法原型

Nasril Sany, Ari Asmawati, Syafnidawati Syafnidawati
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引用次数: 0

摘要

在当今信息技术和计算机化的发展中,它鼓励人们创造能够帮助他们生活的系统。特别是在库存货物的情况下,特别是如果这些物品的位置是未知的,因为它们的数量很多,而且存储空间很大。PSO (Particle Swarm optimization)算法方法是一种适用于处理计算机设备上库存数据搜索问题的方法。这种方法非常有用,特别是在计算机设备的库存已经很大,成千上万的地方。尤其是小部件。对于以前不知道位置的设备或计算机数据,希望通过这种粒子群算法方法可以知道库存,然后将库存放入数据中并进行适当的管理。计算机设备库存数据的报告可以恰当地传达,以便公司管理层可以决定利用所获得的数据采取的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prototype of the MPSO (Modified Dimension Particle Swarm Optimization) Algorithm Method in Searching for Computer Equipment Data inventory
cIn the development of information technology and computerization today, it encourages humans to create systems that can help their lives. Especially in the case of inventory of goods, especially if the location of these items is unknown due to their large number and large and large storage space. The PSO (Particle Swarm Optimazation) algorithm method is a suitable method for dealing with problems, namely searching for inventory data on computer equipment. This method is very useful, especially where the inventory stock of computer equipment is already huge, thousands of them. Especially with the small components. Equipment or computer data whose location was previously unknown, it is hoped that with this PSO algorithm method the inventory can be known which is then put in the data and managed properly. The reporting of computer equipment inventory data can be conveyed properly so that the company management can determine the steps to be taken with the data obtained.
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