A Population-Based Framework for Solving the Job Shop Scheduling Problem
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-88081-1_26
Reference24 articles.
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2. Chen, X., Zhang, B., Gao, D.: Algorithm based on improved genetic algorithm for job shop scheduling problem, pp. 951–956 (2019). https://doi.org/10.1109/ICMA.2019.8816334
3. Dabah, A., Bendjoudi, A., AitZai, A., Nouali-Taboudjemat, N.: Efficient parallel tabu search for the blocking job shop scheduling problem. Soft Comput. 23 (2019). https://doi.org/10.1007/s00500-019-03871-1
4. Hu, H., Lei, W., Gao, X., Zhang, Y.: Job-shop scheduling problem based on improved cuckoo search algorithm. Int. J. Simul. Model. 17, 337–346 (2018). https://doi.org/10.2507/IJSIMM17(2)CO8
5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);P Jedrzejowicz,2019
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