Automatic Drilling of PCBs Based on GA
- DOI
- 10.2991/iske.2007.206How to use a DOI?
- Keywords
- Genetic algorithm, PCB Auto Drill, Routing pathway
- Abstract
Automatic drills are widely used in the process of manufacturing printed circuit boards. After a circuit is designed using very advances softwares, the pins for different components and the nodes through which the layers are connected are rigorously drilled by an automatic drill. At the present paper, a study is done on the function of the automatic drills of printed circuit boards and the difficulties brought about by issues like the sequence of drilling, the functioning time of the device, the device depreciation to optimize the total pathway of the head rail, and the response of the head rail along with tracing the head rail is being studied analytically. The effectiveness of the proposed method is demonstrated on 100 node test pattern through Absolute Error (AE), Mean Square Error (MSE), Mean Percentage of Absolute Error (MPAE) and Mean Regulation (MR%) performance indices. The result evaluation shows that the proposed algorithm achieves good result performance. Moreover, this newly developed strategy has a simple structures provide less depreciation, arise in the pace of whole system and a reduction in the error of head displacement, which can be useful for the traveling pathway between PADs in the automatic drilling of printed circuit boards.
- Copyright
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alireza MohammadniaOranj AU - Ahmad Khademzadeh AU - Aref Jalili Irani AU - Homayoon Ebrahimian PY - 2007/10 DA - 2007/10 TI - Automatic Drilling of PCBs Based on GA BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1208 EP - 1213 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.206 DO - 10.2991/iske.2007.206 ID - MohammadniaOranj2007/10 ER -