A new optimization algorithm for parameter optimization of nano-finishing processes

被引：3

作者：

Rao, R. Venkata ^{[1
]}

Rai, D. P. ^{[1
]}

Balic, J. ^{[2
]}

机构：

[1] SV Natl Inst Technol, Dept Mech Engn, Surat 395007, Gujarat, India

[2] Univ Maribor, Fac Mech Engn, Maribor, Slovenia

来源：

SCIENTIA IRANICA | 2017年 / 24卷 / 02期

关键词：

Nano-finishing; processes; Parameters; optimization; Jaya algorithm;

D O I：

10.24200/sci.2017.4068

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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. (C) 2017 Sharif University of Technology. All rights reserved.

引用

页码：868 / 875

页数：8

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