Simulated Annealing and Tabu Search for Solving the Single Machine Scheduling Problem
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-19945-5_8
Reference20 articles.
1. Uchronski, M.: Parallel algorithm with blocks for a single-machine total weighted tardiness scheduling problem. Appl. Sci. 11, 2069 (2021). https://doi.org/10.3390/app11052069
2. Gupta, S., Kumari, R., Singh, R.P.: Lunar cycle inspired PSO for single machine total weighted tardiness scheduling problem. Evol. Intell. 14(3), 1355–1366 (2021). https://doi.org/10.1007/s12065-020-00556-9
3. Zhang, J., Ding, G., Zou, Y., Qin, S., Fu, J.: Review of job shop scheduling research and its new perspectives under Industry 4.0. J. Intell. Manuf. 30(4), 1809–1830 (2017). https://doi.org/10.1007/s10845-017-1350-2
4. Jianzhong, D., Leung, J.: Minimizing total tardiness on one machine is np-hard. Math. Oper. Res. 35, 483–495 (1990)
5. Jun, S., Lee, S.: Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction. Int. J. Prod. Res. (2020). https://doi.org/10.1080/00207543.2020.1741716
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