VGATS-JSSP: Variant Genetic Algorithm and Tabu Search Applied to the Job Shop Scheduling Problem
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27409-1_30
Reference27 articles.
1. Mohan, J., Lanka, K., Rao, A.N.: A review of dynamic job shop scheduling techniques. Procedia Manuf. 30, 34–39 (2019)
2. Zhang, F., et al.: Evolving scheduling heuristicss via genetic programming with feature selection in dynamic flexible job-shop scheduling. iEEE Trans. Cybern. 51(4), 1797–1811 (2020)
3. Bechir Alaya Alaya, B.: EE-(m,k)-Firm: a method to dynamic service level management in enterprise environment. In: Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS 2017), vol 1, pp. 114–122 (2017). https://doi.org/10.5220/0006322401140122
4. Zhang, M., Tao, F., Nee, A.Y.C.: Digital twin enhanced dynamic job-shop scheduling. J. Manuf. Syst. 58, 146–156 (2021)
5. Alaya, B.: EE-(m,k)-firm: operations management approach in enterprise environment. Ind. Eng. Manag. 05(04) (2016). https://doi.org/10.4172/2169-0316.1000199.
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