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基于组合布谷鸟搜索算法的印刷电路板钻孔路径优化

PCB drill path optimization by combinatorial cuckoo search algorithm.

作者信息

Lim Wei Chen Esmonde, Kanagaraj G, Ponnambalam S G

机构信息

Advanced Engineering Platform and School of Engineering, Monash University Sunway Campus, 46150 Bandar Sunway, Selangor, Malaysia.

Department of Mechanical Engineering, Thiagarajar College of Engineering, Madurai 625015, India.

出版信息

ScientificWorldJournal. 2014 Feb 23;2014:264518. doi: 10.1155/2014/264518. eCollection 2014.

Abstract

Optimization of drill path can lead to significant reduction in machining time which directly improves productivity of manufacturing systems. In a batch production of a large number of items to be drilled such as printed circuit boards (PCB), the travel time of the drilling device is a significant portion of the overall manufacturing process. To increase PCB manufacturing productivity and to reduce production costs, a good option is to minimize the drill path route using an optimization algorithm. This paper reports a combinatorial cuckoo search algorithm for solving drill path optimization problem. The performance of the proposed algorithm is tested and verified with three case studies from the literature. The computational experience conducted in this research indicates that the proposed algorithm is capable of efficiently finding the optimal path for PCB holes drilling process.

摘要

钻孔路径的优化可以显著减少加工时间,这直接提高了制造系统的生产率。在批量生产大量需要钻孔的物品(如印刷电路板(PCB))时,钻孔设备的移动时间在整个制造过程中占很大一部分。为了提高PCB制造生产率并降低生产成本,一个好的选择是使用优化算法来最小化钻孔路径。本文报告了一种用于解决钻孔路径优化问题的组合布谷鸟搜索算法。通过文献中的三个案例研究对所提算法的性能进行了测试和验证。本研究进行的计算经验表明,所提算法能够有效地找到PCB孔钻孔过程的最优路径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c22e/3953641/f0ff0de77f6f/TSWJ2014-264518.alg.001.jpg

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