Overview of PSO for Optimizing Process Parameters of Machining
In the current trends of optimizing machining process parameters, various evolutionary or meta-heuristic techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO) and Artificial Bee Colony algorithm (ABC) have been used. T...
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| Format: | Article |
| Language: | English |
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Elsevier
2012
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| Online Access: | http://ir.unimas.my/id/eprint/17591/ http://ir.unimas.my/id/eprint/17591/1/Overview%20of%20PSO%20for%20Optimizing%20Process%20Parameters%20of%20Machining%20%28abstract%29.pdf |
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| author | Norfadzlan, Yusup Azlan, Mohd Zain Siti Zaiton, Mohd Hashim |
| author_facet | Norfadzlan, Yusup Azlan, Mohd Zain Siti Zaiton, Mohd Hashim |
| author_sort | Norfadzlan, Yusup |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In the current trends of optimizing machining process parameters, various evolutionary or meta-heuristic techniques
such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony
Optimization (ACO) and Artificial Bee Colony algorithm (ABC) have been used. This paper gives an overview of
PSO techniques to optimize machining process parameter of both traditional and modern machining from 2007 to
2011. Machining process parameters such as cutting speed, depth of cut and radial rake angle are mostly considered
by researchers in order to minimize or maximize machining performances. From the review, the most machining
process considered in PSO was multi-pass turning while the most considered machining performance was production
costs. |
| first_indexed | 2025-11-15T06:53:42Z |
| format | Article |
| id | unimas-17591 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:53:42Z |
| publishDate | 2012 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-175912022-09-29T08:27:24Z http://ir.unimas.my/id/eprint/17591/ Overview of PSO for Optimizing Process Parameters of Machining Norfadzlan, Yusup Azlan, Mohd Zain Siti Zaiton, Mohd Hashim T Technology (General) In the current trends of optimizing machining process parameters, various evolutionary or meta-heuristic techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO) and Artificial Bee Colony algorithm (ABC) have been used. This paper gives an overview of PSO techniques to optimize machining process parameter of both traditional and modern machining from 2007 to 2011. Machining process parameters such as cutting speed, depth of cut and radial rake angle are mostly considered by researchers in order to minimize or maximize machining performances. From the review, the most machining process considered in PSO was multi-pass turning while the most considered machining performance was production costs. Elsevier 2012 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17591/1/Overview%20of%20PSO%20for%20Optimizing%20Process%20Parameters%20of%20Machining%20%28abstract%29.pdf Norfadzlan, Yusup and Azlan, Mohd Zain and Siti Zaiton, Mohd Hashim (2012) Overview of PSO for Optimizing Process Parameters of Machining. Procedia Engineering, 29. pp. 914-923. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812000744 doi : 10.1016/j.proeng.2012.01.064 |
| spellingShingle | T Technology (General) Norfadzlan, Yusup Azlan, Mohd Zain Siti Zaiton, Mohd Hashim Overview of PSO for Optimizing Process Parameters of Machining |
| title | Overview of PSO for Optimizing Process Parameters of
Machining |
| title_full | Overview of PSO for Optimizing Process Parameters of
Machining |
| title_fullStr | Overview of PSO for Optimizing Process Parameters of
Machining |
| title_full_unstemmed | Overview of PSO for Optimizing Process Parameters of
Machining |
| title_short | Overview of PSO for Optimizing Process Parameters of
Machining |
| title_sort | overview of pso for optimizing process parameters of
machining |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/17591/ http://ir.unimas.my/id/eprint/17591/ http://ir.unimas.my/id/eprint/17591/ http://ir.unimas.my/id/eprint/17591/1/Overview%20of%20PSO%20for%20Optimizing%20Process%20Parameters%20of%20Machining%20%28abstract%29.pdf |