Optimization of mixed-model assembly line balancing problem with resource constraints

In this study, mixed-model assembly line balanuinfi problem is used to- analyze the performance of four evolutionary algorithms (E'As), namely particle swarm optimization (PSO), simulated annealing (SA), ant colony optimization (ACO) and genetic algorithm (GA). Three categories of test problem...

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Main Authors:	M. M., Razali, M. F. F., Ab Rashid, M.R.A., Make
Format:	Book Section
Language:	English
Published:	Centre for Advanced Research on Energy (CARe) 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/18289/ http://umpir.ump.edu.my/id/eprint/18289/ http://umpir.ump.edu.my/id/eprint/18289/1/5.Optimization%20of%20mixed-model%20assembly%20line%20balancing%20problem%20with%20resource%20constraints.pdf

id	ump-18289
recordtype	eprints
spelling	ump-182892018-01-25T04:15:31Z http://umpir.ump.edu.my/id/eprint/18289/ Optimization of mixed-model assembly line balancing problem with resource constraints M. M., Razali M. F. F., Ab Rashid M.R.A., Make TJ Mechanical engineering and machinery In this study, mixed-model assembly line balanuinfi problem is used to- analyze the performance of four evolutionary algorithms (E'As), namely particle swarm optimization (PSO), simulated annealing (SA), ant colony optimization (ACO) and genetic algorithm (GA). Three categories of test problem (small, medium, and large) is used ranging from 8 to 100 number of tasks. For computational experiment, MATLAB software is used in investigate the EAs performance to optimize the designated objective function. The results reveal that ACO performed hetter in lerm of solution quality of fitness function However, in term of processing time, PSO was the fastest followed by ACO. GA, and SA. Centre for Advanced Research on Energy (CARe) 2017-03-30 Book Section PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18289/1/5.Optimization%20of%20mixed-model%20assembly%20line%20balancing%20problem%20with%20resource%20constraints.pdf M. M., Razali and M. F. F., Ab Rashid and M.R.A., Make (2017) Optimization of mixed-model assembly line balancing problem with resource constraints. In: Proceedings of Mechanical Engineering Research Day 2017. Centre for Advanced Research on Energy (CARe), pp. 115-117. ISBN 9789670257884 https://books.google.com.my/books?id=XYYlDwAAQBAJ&pg=PA115&dq=Optimization+of+mixed-model+assembly+line+balancing+problem+with+resource+constraints&hl=en&sa=X&ved=0ahUKEwie_JqbjKbVAhXLq48KHQPSDqUQ6AEIJTAA#v=onepage&q=Optimization%20of%20mixed-model%20asse
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery M. M., Razali M. F. F., Ab Rashid M.R.A., Make Optimization of mixed-model assembly line balancing problem with resource constraints
description	In this study, mixed-model assembly line balanuinfi problem is used to- analyze the performance of four evolutionary algorithms (E'As), namely particle swarm optimization (PSO), simulated annealing (SA), ant colony optimization (ACO) and genetic algorithm (GA). Three categories of test problem (small, medium, and large) is used ranging from 8 to 100 number of tasks. For computational experiment, MATLAB software is used in investigate the EAs performance to optimize the designated objective function. The results reveal that ACO performed hetter in lerm of solution quality of fitness function However, in term of processing time, PSO was the fastest followed by ACO. GA, and SA.
format	Book Section
author	M. M., Razali M. F. F., Ab Rashid M.R.A., Make
author_facet	M. M., Razali M. F. F., Ab Rashid M.R.A., Make
author_sort	M. M., Razali
title	Optimization of mixed-model assembly line balancing problem with resource constraints
title_short	Optimization of mixed-model assembly line balancing problem with resource constraints
title_full	Optimization of mixed-model assembly line balancing problem with resource constraints
title_fullStr	Optimization of mixed-model assembly line balancing problem with resource constraints
title_full_unstemmed	Optimization of mixed-model assembly line balancing problem with resource constraints
title_sort	optimization of mixed-model assembly line balancing problem with resource constraints
publisher	Centre for Advanced Research on Energy (CARe)
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18289/ http://umpir.ump.edu.my/id/eprint/18289/ http://umpir.ump.edu.my/id/eprint/18289/1/5.Optimization%20of%20mixed-model%20assembly%20line%20balancing%20problem%20with%20resource%20constraints.pdf
first_indexed	2023-09-18T22:25:49Z
last_indexed	2023-09-18T22:25:49Z
_version_	1777415959257022464

Optimization of mixed-model assembly line balancing problem with resource constraints

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