Simulated annealing: theory and applications
Simulated annealing: theory and applications
Computers and Operations Research
Spatial Clustering Method Based on Cloud Model
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
The two-stage assembly scheduling problem to minimize total completion time with setup times
Computers and Operations Research
Cloud theory-based simulated annealing algorithm and application
Engineering Applications of Artificial Intelligence
Computers and Operations Research
Incorporating utility and cloud theories for owner evaluation in tendering
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
In this paper we consider the two-stage assembly flowshop problems where we have m machines in the first stage and an assembly machine in the second stage. We aim to minimize a weighted sum of makespan and mean completion time as the objective for n available jobs. The problem is NP-hard, therefore we proposed the cloud theory-based simulated annealing algorithm (CSA) to solve it. In previous literature Allahverdi and Al-Anzi [5] showed that simulated annealing (SA) is an appropriate heuristic to solve this problem, so we have compared CSA and SA in this study. The computational results reveal that CSA performs better. In addition computational time has been decreased for the CSA algorithm towards the SA.