Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process
In machining process, turning is one of process that were significantly change by introduction of computer numerical control (CNC). However, the process improvement is not stopping there, but the focused has change to reduce the machining cost. Improper parameter selection will caused vibration in c...
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Trans Tech Publications, Switzerland
2015
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ump-74392016-09-06T06:42:50Z http://umpir.ump.edu.my/id/eprint/7439/ Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process M. F. F., Ab Rashid N. M. Z., Nik Mohamed A. N., Mohd Rose S. A., Che Ghani W. S., Wan Harun TJ Mechanical engineering and machinery In machining process, turning is one of process that were significantly change by introduction of computer numerical control (CNC). However, the process improvement is not stopping there, but the focused has change to reduce the machining cost. Improper parameter selection will caused vibration in cutting, unsecure workpiece, unappealing finishing and cost consuming. Therefore, the optimum parameter setting is required because it related to certain quality characteristics such as the unit production cost. This paper presents the study to minimize production cost for CNC turning process by using Ant Colony Optimization (ACO). The result shows that, the ACO was capable to search for optimum production cost in shorter time compare to other methods, including Genetic Algorithm. Trans Tech Publications, Switzerland 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7439/1/065.pdf M. F. F., Ab Rashid and N. M. Z., Nik Mohamed and A. N., Mohd Rose and S. A., Che Ghani and W. S., Wan Harun (2015) Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process. Applied Mechanics and Materials, 695. pp. 558-561. ISSN 1662-7482 http://akademiabaru.com/wvcarmea/docu/065.pdf |
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TJ Mechanical engineering and machinery M. F. F., Ab Rashid N. M. Z., Nik Mohamed A. N., Mohd Rose S. A., Che Ghani W. S., Wan Harun Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process |
description |
In machining process, turning is one of process that were significantly change by introduction of computer numerical control (CNC). However, the process improvement is not stopping there, but the focused has change to reduce the machining cost. Improper parameter selection will caused vibration in cutting, unsecure workpiece, unappealing finishing and cost consuming. Therefore, the optimum parameter setting is required because it related to certain quality characteristics such as the unit production cost. This paper presents the study to minimize production cost for CNC turning process by using Ant Colony Optimization (ACO). The result shows that, the ACO was capable to search for optimum production cost in shorter time compare to other methods, including Genetic Algorithm. |
format |
Article |
author |
M. F. F., Ab Rashid N. M. Z., Nik Mohamed A. N., Mohd Rose S. A., Che Ghani W. S., Wan Harun |
author_facet |
M. F. F., Ab Rashid N. M. Z., Nik Mohamed A. N., Mohd Rose S. A., Che Ghani W. S., Wan Harun |
author_sort |
M. F. F., Ab Rashid |
title |
Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process |
title_short |
Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process |
title_full |
Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process |
title_fullStr |
Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process |
title_full_unstemmed |
Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process |
title_sort |
implementation of ant colony optimization algorithm to minimize cost of turning process |
publisher |
Trans Tech Publications, Switzerland |
publishDate |
2015 |
url |
http://umpir.ump.edu.my/id/eprint/7439/ http://umpir.ump.edu.my/id/eprint/7439/ http://umpir.ump.edu.my/id/eprint/7439/1/065.pdf |
first_indexed |
2023-09-18T22:04:03Z |
last_indexed |
2023-09-18T22:04:03Z |
_version_ |
1777414589737074688 |