Assessment of metaheuristic algorithms to optimize of mixed-model assembly line balancing problem with resource constraints

• Main Authors: M.M., Razali, M. F. F., Ab Rashid, M. R. A., Make
• Format: Article
• Language: English
• Published: Penerbit UMP 2020
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/30043/1/Assessment%20of%20metaheuristic%20algorithms%20to%20optimize%20of%20mixed.pdf; http://umpir.ump.edu.my/id/eprint/30043/; https://doi.org/10.15282/jmmst.v4i2.4787; https://doi.org/10.15282/jmmst.v4i2.4787
• Institution: Universiti Malaysia Pahang

Mixed-model assembly line balancing problem (MMALBP) is an NP-hard problem whichrequires an effective algorithm for solution. In this study, an assessment of metaheuristic algorithms to optimize MMALBP was conductedby using four popular metaheuristics , namely particle swarm optimiza...