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...
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| Format: | Conference or Workshop Item |
| Language: | English |
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Universiti Malaysia Pahang
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/27129/13/Review%20on%20bio-inspired%20algorithms%20approach.pdf |
| _version_ | 1796993817493110784 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:39:09Z |
| format | Conference or Workshop Item |
| id | UMPir27129 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:39:09Z |
| publishDate | 2019 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir271292020-01-15T01:33:22Z 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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/27129/13/Review%20on%20bio-inspired%20algorithms%20approach.pdf |
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