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...
| Main Authors: | Norfadzlan, Yusup, Azlan, Mohd Zain, Siti Zaiton, Mohd Hashim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2012
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| Subjects: | |
| 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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