| Paper Details: | Downloads: 446 |
| Serial Number: | P1121133726
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| Title: | Process Optimization Using Meta-heuristic Algorithms
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| Authors: | Hung-Chun Lin, Fang-Fang Wang, Chao-Ton Su
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| Abstract: | For parameter design, Taguchi methods have been widely used in industry. When parameters are continuous values, nevertheless, Taguchi methods cannot obtain real optimal parameter combinations. Besides, traditional optimization methods begin from one point in a search area and then move sequentially to achieve a better solution, thereby operating rather locally and becoming highly prone to plummeting inside a local optimum. This study aims to discuss how to combine meta-heuristic algorithms to deal with parameter design problems. A real example is presented to illustrate proposed approach’s effectiveness.
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| Keywords: | Meta-heuristic algorithms, quality engineering, Taguchi methods, parameter design.
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| Journal/Conference: | ICGST Conference on Computer Science and Engineering, CSE-11
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| Submission Date: | 8/14/2011 12:00:00 AM
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| Review Date: | 10/2/2011 4:44:14 PM
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| Publishing Date: | 12/19/2011 12:00:00 AM
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| Article Downloads: | 446
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