Review on bio-inspired algorithms approach to solve assembly line balancing problem

Bio-inspired algorithms that have been developed by mimicking the biological phenomenon of nature have been widely applied to solve many real-world problems. For example, memetic algorithm, EGSJAABC3 to optimize economic environmental dispatch (EED), Hybrid Pareto Grey Wolf Optimization to minimize...

Full description

Bibliographic Details
Main Authors:	Noorazliza, Sulaiman, Junita, Mohamad Saleh, Nor Rokiah Hanum, Md. Haron, Z. A., Kamaruzzaman
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Malaysia Pahang 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27129/ http://umpir.ump.edu.my/id/eprint/27129/ http://umpir.ump.edu.my/id/eprint/27129/13/Review%20on%20bio-inspired%20algorithms%20approach.pdf

id	ump-27129
recordtype	eprints
spelling	ump-271292020-01-15T01:33:22Z http://umpir.ump.edu.my/id/eprint/27129/ Review on bio-inspired algorithms approach to solve assembly line balancing problem Noorazliza, Sulaiman Junita, Mohamad Saleh Nor Rokiah Hanum, Md. Haron Z. A., Kamaruzzaman TK Electrical engineering. Electronics Nuclear engineering Bio-inspired algorithms that have been developed by mimicking the biological phenomenon of nature have been widely applied to solve many real-world problems. For example, memetic algorithm, EGSJAABC3 to optimize economic environmental dispatch (EED), Hybrid Pareto Grey Wolf Optimization to minimize carbon and noise emission in U-shaped robotic assembly line and Polar Bear Optimization to optimize heat production. The results obtained form their research have clearly portrayed the robustness of bio-inspired algorithms to solve complex problems. This paper highlights the efficiencies of bio-inspired algoritms implemented in solving assembly line balancing problem. Assembly line balancing problem is very crucial to solve since it involves minimizing the time of the machines and operators that required optimal task distribution. The outcome of this paper shows the effectiveness of bio-inspired algorithms in solving assembly line balancing problem compared to traditional method. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27129/13/Review%20on%20bio-inspired%20algorithms%20approach.pdf Noorazliza, Sulaiman and Junita, Mohamad Saleh and Nor Rokiah Hanum, Md. Haron and Z. A., Kamaruzzaman (2019) Review on bio-inspired algorithms approach to solve assembly line balancing problem. In: IOP Conference Series: Materials Science and Engineering, 4th International Conference on Ergonomics & 2nd International Conference on Industrial Engineering, 27-28 August 2019 , Kuala Terengganu, Terengganu, Malaysia. pp. 1-6., 697 (012027). ISSN 1757-899X https://doi.org/10.1088/1757-899X/697/1/012027
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Noorazliza, Sulaiman Junita, Mohamad Saleh Nor Rokiah Hanum, Md. Haron Z. A., Kamaruzzaman Review on bio-inspired algorithms approach to solve assembly line balancing problem
description	Bio-inspired algorithms that have been developed by mimicking the biological phenomenon of nature have been widely applied to solve many real-world problems. For example, memetic algorithm, EGSJAABC3 to optimize economic environmental dispatch (EED), Hybrid Pareto Grey Wolf Optimization to minimize carbon and noise emission in U-shaped robotic assembly line and Polar Bear Optimization to optimize heat production. The results obtained form their research have clearly portrayed the robustness of bio-inspired algorithms to solve complex problems. This paper highlights the efficiencies of bio-inspired algoritms implemented in solving assembly line balancing problem. Assembly line balancing problem is very crucial to solve since it involves minimizing the time of the machines and operators that required optimal task distribution. The outcome of this paper shows the effectiveness of bio-inspired algorithms in solving assembly line balancing problem compared to traditional method.
format	Conference or Workshop Item
author	Noorazliza, Sulaiman Junita, Mohamad Saleh Nor Rokiah Hanum, Md. Haron Z. A., Kamaruzzaman
author_facet	Noorazliza, Sulaiman Junita, Mohamad Saleh Nor Rokiah Hanum, Md. Haron Z. A., Kamaruzzaman
author_sort	Noorazliza, Sulaiman
title	Review on bio-inspired algorithms approach to solve assembly line balancing problem
title_short	Review on bio-inspired algorithms approach to solve assembly line balancing problem
title_full	Review on bio-inspired algorithms approach to solve assembly line balancing problem
title_fullStr	Review on bio-inspired algorithms approach to solve assembly line balancing problem
title_full_unstemmed	Review on bio-inspired algorithms approach to solve assembly line balancing problem
title_sort	review on bio-inspired algorithms approach to solve assembly line balancing problem
publisher	Universiti Malaysia Pahang
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27129/ http://umpir.ump.edu.my/id/eprint/27129/ http://umpir.ump.edu.my/id/eprint/27129/13/Review%20on%20bio-inspired%20algorithms%20approach.pdf
first_indexed	2023-09-18T22:42:33Z
last_indexed	2023-09-18T22:42:33Z
_version_	1777417011632013312

Review on bio-inspired algorithms approach to solve assembly line balancing problem

Similar Items