Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system
Ever since Kevin M. Passino invented the bacteria foraging optimization algorithm, one of the main challenges has been employment of the algorithm to problem areas other than those for which the algorithm was proposed. This research work inquires the applications of designed experiments aided by mul...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Engineering and Technology Publishing
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28791/ http://psasir.upm.edu.my/id/eprint/28791/1/Development%20and%20tuning%20of%20bacteria%20foraging%20optimization%20algorithm%20on%20cell%20formation%20in%20cellular%20manufacturing%20system.pdf |
| _version_ | 1848846214117720064 |
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| author | Nouri, Hossein Tang, Sai Hong Mohd Ariffin, Mohd Khairol Anuar Baharudin, B. T. Hang Tuah Samin, Razali |
| author_facet | Nouri, Hossein Tang, Sai Hong Mohd Ariffin, Mohd Khairol Anuar Baharudin, B. T. Hang Tuah Samin, Razali |
| author_sort | Nouri, Hossein |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Ever since Kevin M. Passino invented the bacteria foraging optimization algorithm, one of the main challenges has been employment of the algorithm to problem areas other than those for which the algorithm was proposed. This research work inquires the applications of designed experiments aided by multiple regression analysis for tuning of this emerging novel optimization algorithm parameters to the cell formation (CF) problem considering operation sequence. In this paper, an attempt is made to tuning chemo tactic and swarming steps parameters meanwhile taking into consideration bacteria foraging optimization algorithm convergence speed and performance. The factorial designed experiment is suggested to create treatments of experiment. The adequacy of the proposed model is analyzed based on some commonly statistical criteria. The results lie in favor of adequacy of the proposed model. |
| first_indexed | 2025-11-15T08:59:09Z |
| format | Article |
| id | upm-28791 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:59:09Z |
| publishDate | 2013 |
| publisher | Engineering and Technology Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-287912016-02-12T07:01:04Z http://psasir.upm.edu.my/id/eprint/28791/ Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system Nouri, Hossein Tang, Sai Hong Mohd Ariffin, Mohd Khairol Anuar Baharudin, B. T. Hang Tuah Samin, Razali Ever since Kevin M. Passino invented the bacteria foraging optimization algorithm, one of the main challenges has been employment of the algorithm to problem areas other than those for which the algorithm was proposed. This research work inquires the applications of designed experiments aided by multiple regression analysis for tuning of this emerging novel optimization algorithm parameters to the cell formation (CF) problem considering operation sequence. In this paper, an attempt is made to tuning chemo tactic and swarming steps parameters meanwhile taking into consideration bacteria foraging optimization algorithm convergence speed and performance. The factorial designed experiment is suggested to create treatments of experiment. The adequacy of the proposed model is analyzed based on some commonly statistical criteria. The results lie in favor of adequacy of the proposed model. Engineering and Technology Publishing 2013-03 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28791/1/Development%20and%20tuning%20of%20bacteria%20foraging%20optimization%20algorithm%20on%20cell%20formation%20in%20cellular%20manufacturing%20system.pdf Nouri, Hossein and Tang, Sai Hong and Mohd Ariffin, Mohd Khairol Anuar and Baharudin, B. T. Hang Tuah and Samin, Razali (2013) Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system. Journal of Automation and Control Engineering, 1 (1). pp. 36-39. ISSN 2301-3702 http://www.joace.org/index.php?m=content&c=index&a=show&catid=27&id=43 |
| spellingShingle | Nouri, Hossein Tang, Sai Hong Mohd Ariffin, Mohd Khairol Anuar Baharudin, B. T. Hang Tuah Samin, Razali Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system |
| title | Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system |
| title_full | Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system |
| title_fullStr | Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system |
| title_full_unstemmed | Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system |
| title_short | Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system |
| title_sort | development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system |
| url | http://psasir.upm.edu.my/id/eprint/28791/ http://psasir.upm.edu.my/id/eprint/28791/ http://psasir.upm.edu.my/id/eprint/28791/1/Development%20and%20tuning%20of%20bacteria%20foraging%20optimization%20algorithm%20on%20cell%20formation%20in%20cellular%20manufacturing%20system.pdf |