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:
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