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Decision making viva genetic algorithm for the utilization of leftovers
International Journal of Intelligent Systems ( IF 7 ) Pub Date : 2021-01-12 , DOI: 10.1002/int.22359
Raiz Ali 1 , Shakoor Muhammad 1 , Ricardo H. C. Takahashi 2
Affiliation  

Pipes have been using for different construction purposes, such as tube wells, oil wells, gas wells, and other sanitary purposes. These pipes have different sizes that can be used according to the need. In a particular construction, most of them can be used but some of them are left unused, which are known as leftovers. There are some usable leftovers (standards), whereas others are nonusable (nonstandards) leftovers. These leftovers could be difficult to manage to know which of them could be reused. The reuse of such leftovers become difficult for the construction companies to use them properly. On the other hand, these leftovers would be useful for other construction purposes rather than throw them into the bin. In this paper, we have presented a model and used a heuristic approach to make sure that the leftovers after different constructions could be reused according to the given demand. For this purpose, a genetic‐based decision support system is applied to validate the solution feasibility of the problem. Experimental results validate the effectiveness of this novel proposed model by numerical experiments, and the leftovers are minimized up to a high extent.

中文翻译:

剩余物利用的决策虚拟遗传算法

管道已经用于不同的建筑目的,例如管井,油井,气井和其他卫生目的。这些管道具有不同的尺寸,可以根据需要使用。在特定的结构中,大多数都可以使用,但是有些闲置不用,这被称为剩菜。有一些可用的剩余(标准),而另一些则是不可用的(非标准)剩余。这些剩菜可能很难管理,以知道其中哪些可以重用。对于建筑公司来说,如何合理地利用这些剩余物变得很困难。另一方面,这些剩余物对于其他建筑目的将是有用的,而不是将它们扔到垃圾箱中。在本文中,我们提供了一个模型,并使用启发式方法来确保可以根据给定需求重用不同构造后的剩余物。为此,应用了基于遗传的决策支持系统来验证问题的解决方案可行性。实验结果通过数值实验验证了该新颖提出的模型的有效性,并且最大程度地减少了剩余物。
更新日期:2021-02-28
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