A Novel Instance Generator for Benchmarking the Job Shop Scheduling Problem
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4677-4_34
Reference20 articles.
1. Adams, J., Balas, E., Zawack, D.: The shifting bottleneck procedure for job shop scheduling. Manage. Sci. 34(3), 391–401 (1988). https://www.jstor.org/stable/i345056
2. Cunha, B., Madureira, A., Fonseca, B.: Solving the job shop scheduling problem with reinforcement learning: a statistical analysis. Intell. Syst. Des. Appl. 600–609 (2021). https://doi.org/10.1007/978-3-030-71187-0_55
3. Da Col, G., Teppan, E.: Large-scale benchmarks for the job shop scheduling problem (2021). https://doi.org/10.48550/arXiv.2102.08778
4. Dai, M., Tang, D., Giret, A., Salido, M.A.: Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints. Robot. Comput.-Integr. Manuf. 59, 143–157 (2019). https://doi.org/10.1016/j.rcim.2019.04.006
5. Demirkol, E., Mehta, S., Uzsoy, R.: Benchmarks for shop scheduling problems. Eur. J. Oper. Res. 109(1), 137–141 (1998). https://doi.org/10.1016/S0377-2217(97)00019-2
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