Computational approach for multi performances optimization of EDM
This paper proposes a new computational approach employed in obtaining optimal parameters of multi performances EDM. Regression and artificial neural network (ANN) are used as the modeling techniques meanwhile multi objective genetic algorithm (multiGA) is used as the optimization technique. Orthogo...
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| Main Authors: | , , |
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| 格式: | Conference or Workshop Item |
| 出版: |
EDP SCIENCES
2016
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| 主题: | |
| 在线阅读: | http://eprints.utm.my/id/eprint/66694/ https://doi.org/10.1051/matecconf/20167801014 |
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| 总结: | This paper proposes a new computational approach employed in obtaining optimal parameters of multi performances EDM. Regression and artificial neural network (ANN) are used as the modeling techniques meanwhile multi objective genetic algorithm (multiGA) is used as the optimization technique. Orthogonal array L256 is implemented in the procedure of network function and network architecture selection. Experimental studies are carried out to verify the machining performances suggested by this approach. The highest MRR value obtained from OrthoANN – MPR – MultiGA is 205.619 mg/mi n and the lowest Ra value is 0.0223µm. |
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