An optimization technique using hybrid GA-SA algorithm for multi-objective scheduling problem
A Mixed-model assembly line is widely employed to perform the assembly operation in industries and the time needed to release products to market is frequently considered by many researchers. However, providing an appropriate level of flexibility to meet customer demand variations is critical for com...
Saved in:
Main Authors: | Noroziroshan, Alireza, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah, Mustapha, Faizal |
---|---|
Format: | Article |
Language: | English |
Published: |
Academic Journals
2011
|
Online Access: | http://psasir.upm.edu.my/id/eprint/23095/1/An%20optimization%20technique%20using%20hybrid%20GA-SA.pdf http://psasir.upm.edu.my/id/eprint/23095/ http://www.academicjournals.org/journal/SRE/article-abstract/587417120543 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid GA-SA algorithm for multi-objective sequencing problem in high-product mix shop-floor
by: Noroziroshan, Alireza, et al.
Published: (2012) -
Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
by: Noroziroshan, Alireza, et al.
Published: (2010) -
A Fuzzy Hybrid GA-PSO Algorithm for Multi-Objective AGV Scheduling in FMS
by: Mousavi, M., et al.
Published: (2017) -
A note on “A multi-objective genetic algorithm for solving assembly line balancing problem”
by: Fathi, Masood, et al.
Published: (2010) -
Development of Genetic Algorithm Procedure for Sequencing Problem in Mixed-Model Assembly Lines
by: Noroziroshan, Alireza
Published: (2009)