MATEC Web Conf.
Volume 78, 20162nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016)
|Number of page(s)||6|
|Published online||07 October 2016|
Computational Approach for Multi Performances Optimization of EDM
Department of Computer Science, Faculty of Computing, 81310 UTM Skudai, Johor, Malaysia
* Corresponding author: firstname.lastname@example.org
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/min and the lowest Ra value is 0.0223μm.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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