Genetic Algorithm Parameter Optimization using Taguchi Robust Design for Multi-response Optimization of Experimental and Historical Data

Abstract

The proposed research approach primarily covers the robust optimization of Genetic Algorithm control parameters using Taguchi Design of Experiment (DOE) with a special set of L25 orthogonal array (OA). The experimental design and the study is conducted with MATLAB Genetic Algorithm internal control parameters using real-coded Genetic Algorithm fitness… (More)

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Cite this paper

@inproceedings{Majumdar2015GeneticAP, title={Genetic Algorithm Parameter Optimization using Taguchi Robust Design for Multi-response Optimization of Experimental and Historical Data}, author={Abhishek Majumdar and Debashis Ghosh and Samir Agrawal and Avni Rexhepi and Adnan Maxhuni and Agni Dika and Farhad Kolahan and Marziyeh Hassani}, year={2015} }