An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process

Previously, route planning in holes drilling process has been taken for granted due to its automated process, in nature. But as the interest to make Computer Numerical Control machines more efficient, there have been a steady increase in number of studies for the past decade. Many researchers propos...

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Main Authors: Omar, Norhaizat, Eng, Chieh Ong, Adam, Asrul, Hasim, Saipol Hadi, Zainal Abidin, Amar Faiz, Jaafar, Hazriq Izzuan, Zakaria, Hamzah, Hassan, Jefery, Nordin, Nur Anis, Osman, Khairuddin, Mohd Hussein, Shamsul Faisal
Format: Conference or Workshop Item
Language:English
Published: 2014
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Online Access:http://eprints.utem.edu.my/id/eprint/11671/1/2014_Conf._13Feb_ICRET2014_BATAM_%282%29.pdf
http://eprints.utem.edu.my/id/eprint/11671/
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spelling my.utem.eprints.116712023-07-18T15:32:25Z http://eprints.utem.edu.my/id/eprint/11671/ An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process Omar, Norhaizat Eng, Chieh Ong Adam, Asrul Hasim, Saipol Hadi Zainal Abidin, Amar Faiz Jaafar, Hazriq Izzuan Zakaria, Hamzah Hassan, Jefery Nordin, Nur Anis Osman, Khairuddin Mohd Hussein, Shamsul Faisal TK Electrical engineering. Electronics Nuclear engineering Previously, route planning in holes drilling process has been taken for granted due to its automated process, in nature. But as the interest to make Computer Numerical Control machines more efficient, there have been a steady increase in number of studies for the past decade. Many researchers proposed algorithms that belong into Computational Intelligence, due to their simplicity and ability to obtain optimal result. In this study, an optimization algorithm based on Gravitational Search Algorithm is proposed for solving route optimization in holes drilling process. The proposed approach involves modeling and simulation of Gravitational Search Algorithm. The performance of the algorithm is benchmark with one case study that had been frequently used by previous researchers. The result indicates that the proposed approach performs better than most of the literatures. 2014-02-13 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/11671/1/2014_Conf._13Feb_ICRET2014_BATAM_%282%29.pdf Omar, Norhaizat and Eng, Chieh Ong and Adam, Asrul and Hasim, Saipol Hadi and Zainal Abidin, Amar Faiz and Jaafar, Hazriq Izzuan and Zakaria, Hamzah and Hassan, Jefery and Nordin, Nur Anis and Osman, Khairuddin and Mohd Hussein, Shamsul Faisal (2014) An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process. In: International Conference Recent treads in Engineering & Technology (ICRET’2014), 13-14 Feb 2014, Batam (Indonesia).
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Omar, Norhaizat
Eng, Chieh Ong
Adam, Asrul
Hasim, Saipol Hadi
Zainal Abidin, Amar Faiz
Jaafar, Hazriq Izzuan
Zakaria, Hamzah
Hassan, Jefery
Nordin, Nur Anis
Osman, Khairuddin
Mohd Hussein, Shamsul Faisal
An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
description Previously, route planning in holes drilling process has been taken for granted due to its automated process, in nature. But as the interest to make Computer Numerical Control machines more efficient, there have been a steady increase in number of studies for the past decade. Many researchers proposed algorithms that belong into Computational Intelligence, due to their simplicity and ability to obtain optimal result. In this study, an optimization algorithm based on Gravitational Search Algorithm is proposed for solving route optimization in holes drilling process. The proposed approach involves modeling and simulation of Gravitational Search Algorithm. The performance of the algorithm is benchmark with one case study that had been frequently used by previous researchers. The result indicates that the proposed approach performs better than most of the literatures.
format Conference or Workshop Item
author Omar, Norhaizat
Eng, Chieh Ong
Adam, Asrul
Hasim, Saipol Hadi
Zainal Abidin, Amar Faiz
Jaafar, Hazriq Izzuan
Zakaria, Hamzah
Hassan, Jefery
Nordin, Nur Anis
Osman, Khairuddin
Mohd Hussein, Shamsul Faisal
author_facet Omar, Norhaizat
Eng, Chieh Ong
Adam, Asrul
Hasim, Saipol Hadi
Zainal Abidin, Amar Faiz
Jaafar, Hazriq Izzuan
Zakaria, Hamzah
Hassan, Jefery
Nordin, Nur Anis
Osman, Khairuddin
Mohd Hussein, Shamsul Faisal
author_sort Omar, Norhaizat
title An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
title_short An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
title_full An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
title_fullStr An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
title_full_unstemmed An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
title_sort experimental study of the application of gravitational search algorithm in solving route optimization problem for holes drilling process
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/11671/1/2014_Conf._13Feb_ICRET2014_BATAM_%282%29.pdf
http://eprints.utem.edu.my/id/eprint/11671/
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score 13.214268