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

• 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/27129/13/Review%20on%20bio-inspired%20algorithms%20approach.pdf; http://umpir.ump.edu.my/id/eprint/27129/; https://doi.org/10.1088/1757-899X/697/1/012027
• Institution: Universiti Malaysia Pahang

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...