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...
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/27129/13/Review%20on%20bio-inspired%20algorithms%20approach.pdf |
Similar Items
-
Evaluation of K-fold value in breast cancer diagnosis technique using SVM and bio-inspired optimization algorithm (JA-ABC5)
by: Nadarajan, Ravindran, et al.
Published: (2023) -
Cycle time minimization in production line using robust hybrid optimization algorithm
by: Noorazliza, Sulaiman, et al.
Published: (2021) -
AFSA-SLnO variants for enhanced global optimization
by: Norazian, Subari, et al.
Published: (2022) -
Solving assembly line balancing problem using genetic algorithm with heuristics-treated initial population
by: Bakar, Nooh Abu, et al.
Published: (2008) -
Barnacles mating optimizer: a bio-inspired algorithm for solving optimization problems
by: Mohd Herwan, Sulaiman, et al.
Published: (2018)