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A Cuckoo Search Algorithm for 2D-cutting Problem in Decorative Ceramic Production Lines with Defects

机译:一种杜鹃搜索缺陷陶瓷生产线2D切割问题的探索算法

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The residues generated from ceramic cuttings are one of the major causes of waste in the ceramic production industry, with losses being around 40% of the used material. Hence, reducing residues from materials used is critical for lowering the production cost. It is worth mentioning that in this industry the material also shows high rates of defects, a constraint which most researches dealing with the 2D-cutting problem lack. This paper develops a bio-inspired metaheuristic called Cuckoo Search to solve the problem of exposed material cutting as an alternative solution to the genetic algorithm already developed by the authors, which will also be used to measure the Cuckoo Search algorithm performance.
机译:从陶瓷切屑产生的残留物是陶瓷生产行业中废物的主要原因之一,损失约为40%的二手材料。因此,从所用材料的减少残留物对于降低生产成本至关重要。值得一提的是,在这个行业中,该材料也显示出高缺陷率,这是大多数研究缺乏2D切割问题的研究。本文开发了一个名为Cuckoo搜索的生物启发的成群质主义,以解决暴露材料切割作为作者已经开发的遗传算法的替代解决方案的问题,这也将用于测量Cuckoo搜索算法性能。

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