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

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

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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.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Bio-Inspired Algorithms; Assembly Line Balancing Problem; Manufacturing; Optimization.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 15 Jan 2020 01:33
Last Modified: 15 Jan 2020 01:33
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