A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process

The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameter...

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Main Authors: Shin, Teh Muy, Asrul, Adam, Amar Faiz, Zainal Abidin
Format: Article
Language:English
Published: IAES 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/29742/
http://umpir.ump.edu.my/id/eprint/29742/1/A%20comparative%20study%20of%20PSO%2C%20GSA%20and%20SCA%20in%20parameters.pdf
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author Shin, Teh Muy
Asrul, Adam
Amar Faiz, Zainal Abidin
author_facet Shin, Teh Muy
Asrul, Adam
Amar Faiz, Zainal Abidin
author_sort Shin, Teh Muy
building UMP Institutional Repository
collection Online Access
description The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameters and resulting an improvement on the grinding performance. In this paper, three optimization algorithms which are particle swarm optimization (PSO), gravitational search, and Sine Cosine algorithms are employed to optimize the grinding process parameters that may either reduce the cost, increase the productivity or obtain the finest surface finish and resulting a higher grinding process performance. The efficiency of the three algorithms are evaluated and comparedwith previous results obtained by other optimization methods on similar studies.The experimental results showed that PSO algorithm achieves better optimization performance in the aspect of convergence rate and accuracy of best solution.Whereas in the comparison of results of previous researchers, the obtained result of PSO proves that it is efficient in solving the complicated mathematical model of surface grinding process with different conditions.
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spelling ump-297422022-11-09T07:44:51Z http://umpir.ump.edu.my/id/eprint/29742/ A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process Shin, Teh Muy Asrul, Adam Amar Faiz, Zainal Abidin TA Engineering (General). Civil engineering (General) TS Manufactures The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameters and resulting an improvement on the grinding performance. In this paper, three optimization algorithms which are particle swarm optimization (PSO), gravitational search, and Sine Cosine algorithms are employed to optimize the grinding process parameters that may either reduce the cost, increase the productivity or obtain the finest surface finish and resulting a higher grinding process performance. The efficiency of the three algorithms are evaluated and comparedwith previous results obtained by other optimization methods on similar studies.The experimental results showed that PSO algorithm achieves better optimization performance in the aspect of convergence rate and accuracy of best solution.Whereas in the comparison of results of previous researchers, the obtained result of PSO proves that it is efficient in solving the complicated mathematical model of surface grinding process with different conditions. IAES 2019-09 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29742/1/A%20comparative%20study%20of%20PSO%2C%20GSA%20and%20SCA%20in%20parameters.pdf Shin, Teh Muy and Asrul, Adam and Amar Faiz, Zainal Abidin (2019) A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process. Bulletin of Electrical Engineering and Informatics, 8 (3). pp. 1117-1127. ISSN 2089-3191 (Print); 2302-9285 (Online). (Published) https://doi.org/10.11591/eei.v8i3.1586 https://doi.org/10.11591/eei.v8i3.1586
spellingShingle TA Engineering (General). Civil engineering (General)
TS Manufactures
Shin, Teh Muy
Asrul, Adam
Amar Faiz, Zainal Abidin
A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process
title A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process
title_full A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process
title_fullStr A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process
title_full_unstemmed A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process
title_short A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process
title_sort comparative study of pso, gsa and sca in parameters optimization of surface grinding process
topic TA Engineering (General). Civil engineering (General)
TS Manufactures
url http://umpir.ump.edu.my/id/eprint/29742/
http://umpir.ump.edu.my/id/eprint/29742/
http://umpir.ump.edu.my/id/eprint/29742/
http://umpir.ump.edu.my/id/eprint/29742/1/A%20comparative%20study%20of%20PSO%2C%20GSA%20and%20SCA%20in%20parameters.pdf