Anant colony systemfor routing in PCB holes drilling process

Most electronic manufacturing industries use computer numerical controlled (CNC) machines for drilling holes on printed circuit board (PCB). Some machines do not choose the optimal route when completing their tasks. Hence, this paper proposes an approach, which is based on ant colony system (ACS), f...

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Main Authors: Saealal, Muhammad Salihin, Abidin, Amar Faizzainal, Adam, Asrul, Ahmed Mukred, Jameel Abdulla, Khalil, Kamal, Yusof, Zulkifli Md., Ibrahim, Zuwairie, Nordin, Nuranis
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Published: International Society of Management Engineers 2012
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Online Access:http://eprints.utm.my/id/eprint/31673/
http://www.ismeip.org/IJIMIP/contents/imip1341/6.pdf
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.316732019-03-26T08:07:41Z http://eprints.utm.my/id/eprint/31673/ Anant colony systemfor routing in PCB holes drilling process Saealal, Muhammad Salihin Abidin, Amar Faizzainal Adam, Asrul Ahmed Mukred, Jameel Abdulla Khalil, Kamal Yusof, Zulkifli Md. Ibrahim, Zuwairie Nordin, Nuranis TK Electrical engineering. Electronics Nuclear engineering Most electronic manufacturing industries use computer numerical controlled (CNC) machines for drilling holes on printed circuit board (PCB). Some machines do not choose the optimal route when completing their tasks. Hence, this paper proposes an approach, which is based on ant colony system (ACS), for finding the optimal route in PCB holes drilling process. In ACS, an artificial ant starts to move from a random hole location and moves to the next hole location, based on the pheromone level between the locations of two holes. The higher the pheromones level, the higher the chance for the artificial ant to choose that path. At the same time, that ant deposits its pheromone on the path chosen. This process is repeated until the artificial ant builds a solution, which is evaluated with other artificial ants’ solutions. The best artificial ant deposits additional pheromone to its path. The best-found path is updated as the iteration continues. Experimental result indicates that the proposed ACS-based approach is capable to efficiently find the optimal route for PCB holes drilling process. International Society of Management Engineers 2012-03 Article PeerReviewed Saealal, Muhammad Salihin and Abidin, Amar Faizzainal and Adam, Asrul and Ahmed Mukred, Jameel Abdulla and Khalil, Kamal and Yusof, Zulkifli Md. and Ibrahim, Zuwairie and Nordin, Nuranis (2012) Anant colony systemfor routing in PCB holes drilling process. International Journal of Innovative Management, Information & Production, 3 (1). pp. 50-56. ISSN 2185-5439 (Print) ; 2185-5455 (Electronic) http://www.ismeip.org/IJIMIP/contents/imip1341/6.pdf
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Saealal, Muhammad Salihin
Abidin, Amar Faizzainal
Adam, Asrul
Ahmed Mukred, Jameel Abdulla
Khalil, Kamal
Yusof, Zulkifli Md.
Ibrahim, Zuwairie
Nordin, Nuranis
Anant colony systemfor routing in PCB holes drilling process
description Most electronic manufacturing industries use computer numerical controlled (CNC) machines for drilling holes on printed circuit board (PCB). Some machines do not choose the optimal route when completing their tasks. Hence, this paper proposes an approach, which is based on ant colony system (ACS), for finding the optimal route in PCB holes drilling process. In ACS, an artificial ant starts to move from a random hole location and moves to the next hole location, based on the pheromone level between the locations of two holes. The higher the pheromones level, the higher the chance for the artificial ant to choose that path. At the same time, that ant deposits its pheromone on the path chosen. This process is repeated until the artificial ant builds a solution, which is evaluated with other artificial ants’ solutions. The best artificial ant deposits additional pheromone to its path. The best-found path is updated as the iteration continues. Experimental result indicates that the proposed ACS-based approach is capable to efficiently find the optimal route for PCB holes drilling process.
format Article
author Saealal, Muhammad Salihin
Abidin, Amar Faizzainal
Adam, Asrul
Ahmed Mukred, Jameel Abdulla
Khalil, Kamal
Yusof, Zulkifli Md.
Ibrahim, Zuwairie
Nordin, Nuranis
author_facet Saealal, Muhammad Salihin
Abidin, Amar Faizzainal
Adam, Asrul
Ahmed Mukred, Jameel Abdulla
Khalil, Kamal
Yusof, Zulkifli Md.
Ibrahim, Zuwairie
Nordin, Nuranis
author_sort Saealal, Muhammad Salihin
title Anant colony systemfor routing in PCB holes drilling process
title_short Anant colony systemfor routing in PCB holes drilling process
title_full Anant colony systemfor routing in PCB holes drilling process
title_fullStr Anant colony systemfor routing in PCB holes drilling process
title_full_unstemmed Anant colony systemfor routing in PCB holes drilling process
title_sort anant colony systemfor routing in pcb holes drilling process
publisher International Society of Management Engineers
publishDate 2012
url http://eprints.utm.my/id/eprint/31673/
http://www.ismeip.org/IJIMIP/contents/imip1341/6.pdf
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