Article ID: | iaor20011317 |
Country: | United States |
Volume: | 30 |
Issue: | 5 |
Start Page Number: | 527 |
End Page Number: | 532 |
Publication Date: | May 1999 |
Journal: | International Journal of Systems Science |
Authors: | Wang Tai-Yue, Wu K.B. |
Keywords: | optimization: simulated annealing |
This paper uses the simulated annealing algorithm to solve job shop scheduling problems, thereby minimizing the total tardiness. Also presented here is a configuration generation mechanism capable of excluding all of the infeasible configurations before-hand. Doing so allows us to increase the efficiency of the annealing process. In addition, the simulated annealing algorithm is compared with a more tailored algorithm (MEHA), indicating that the solution quality of the former significantly outperforms the latter. Moreover, the simulated annealing algorithm, although using more computational time than MEHA, has a high solution quality and can be easily implemented.