Material removal rate and surface roughness are the most important performance measures in nano-finishing processes and these are largely influenced by the process parameters. The optimum combination of process parameters for nano-finishing processes is determined in this paper using a recently proposed optimization algorithm, named as Jaya algorithm. The results show the better performance of the Jaya algorithm over the other approaches attempted by the previous researchers such as genetic algorithm and desirability function approach for the same nano-finishing processes. The results obtained by the Jaya algorithm are useful for the real production systems.
Rao, R. V., Rai, D. P., & Balic, J. (2017). A new optimization algorithm for parameter optimization of nano-finishing processes. Scientia Iranica, 24(2), 868-875. doi: 10.24200/sci.2017.4068
MLA
R. Venkata Rao; Dhiraj P. Rai; J. Balic. "A new optimization algorithm for parameter optimization of nano-finishing processes". Scientia Iranica, 24, 2, 2017, 868-875. doi: 10.24200/sci.2017.4068
HARVARD
Rao, R. V., Rai, D. P., Balic, J. (2017). 'A new optimization algorithm for parameter optimization of nano-finishing processes', Scientia Iranica, 24(2), pp. 868-875. doi: 10.24200/sci.2017.4068
VANCOUVER
Rao, R. V., Rai, D. P., Balic, J. A new optimization algorithm for parameter optimization of nano-finishing processes. Scientia Iranica, 2017; 24(2): 868-875. doi: 10.24200/sci.2017.4068
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