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A new optimization algorithm for parameter optimization of nano-finishing processes
A new optimization algorithm for parameter optimization of nano-finishing processes
- Source :
- Scientia Iranica. 24:868-875
- Publication Year :
- 2017
- Publisher :
- SciTech Solutions, 2017.
-
Abstract
- 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.
- Subjects :
- 010302 applied physics
Engineering
Mathematical optimization
Optimization algorithm
Process (engineering)
business.industry
General Engineering
Material removal
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
0103 physical sciences
Nano
Genetic algorithm
Surface roughness
Production (economics)
Multi-swarm optimization
0210 nano-technology
business
Subjects
Details
- ISSN :
- 23453605
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Scientia Iranica
- Accession number :
- edsair.doi...........811fe74282b3ff82af645b79d65b4a32
- Full Text :
- https://doi.org/10.24200/sci.2017.4068