References
- Cho, Y. C., Cho, H. C., Kim, J. W., Zhang, L., and Jeon, H. T., “A Study on Optimal Scheduling of Multi-Spinner's Manufacturing Process Using Artificial Neural Network,” International Journal of Fuzzy Logic and Intelligent Systems, Vol. 18, No. 1, pp. 157-160, 2008.
- Demirkov, E. and Uzsoy, R., “Decomposition methods for reentrant flow shops with sequence-dependent setup times,” Journal of Scheduling, Vol. 3, No. 3, pp. 155-177, 2010. https://doi.org/10.1002/(SICI)1099-1425(200005/06)3:3<155::AID-JOS39>3.0.CO;2-E
- Gabel, T. and Riedmiller, M., “Distributed policy search reinforcement learning for job-shop scheduling tasks,” International Journal of Production Research, Vol. 50, No. 1, pp. 41-61, 2012. https://doi.org/10.1080/00207543.2011.571443
- Jeong, H. S., Kim, M. W., Lee, B. J., Kim, K. T., and Youn, H. Y., "An Neural Network Approach to Job-shop Scheduling based on Reinforcement Learning," Proceedings of the Korean Society of Computer Information Conference, Vol. 26, No. 2, pp. 47-48, 2018.
- Kang, J., “Feasibility Study on the Reinforcement Learning for a Dynamic Scheduling Problem,” Journal of advanced engineering and technology, Vol. 10, No. 4, pp. 453-456, 2017. https://doi.org/10.35272/jaet.2017.10.4.453
- Kang, Y. H., Lee, Y. S., and Shin, H. J., “Problem space based search algorithm for manufacturing process with rework probabilities affecting product quality and tardiness,” Journal of the Korea Academia-Industrial Cooperation Society, Vol. 10, No. 7, pp. 1702-1710, 2009. https://doi.org/10.5762/KAIS.2009.10.7.1702
- Kim, A. K., "Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling: Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling," Ph.D. dissertation, KyungHee University, 2018.
- Kim, H. S., Park, D. J., and Jeong, I. J., "Railway Capacity Allocation Modeling using Genetic Algorithm," Transportation Research Record: Journal of the Transportation Research Board, Vol. 2608, pp. 1223-1230, 2016.
- Kim, J. Y., "Packet scheduling algorithm using deep Q-Network in wireless network," M.S dissertation, Yonsei University, 2018.
- Lee, D. H. and Kim, K. H., “Deep Learning Based Prediction Method of Long-term Photovoltaic Power Generation Using Meteorological and Seasonal Information,” The Journal of Society for e-Business Studies, Vol. 24, No. 1, pp. 1-16, 2019.
- Lee, Y. S., "A study on Developing algorithms for Manufacturing networks using meta-Heuristics," Ph.D. Thesis, Sangmyung University, 2000.
- Mazdeh, M. M., Nakhjavani, A. K., and Zareei, A., “Minimizing Total Weighted Tardiness with Drop Dead Dates in Single Machine Scheduling Problem,” International Journal of Industrial Engineering & Production Research, Vol. 21, No. 2, pp. 89-95, 2010.
- Oh, S. W., Lee, H. K., Shin, J. Y., and Lee, J. H., “Antibiotics-Resistant Bacteria Infection Prediction Based on Deep Learning,” The Journal of Society for e-Business Studies, Vol. 24, No. 1, pp. 105-120, 2019.
- Ryu, J. W., Kang, M. K., and Kim, M. W., “A Clustering Algorithm based on Heuristic Evolution Algorithm,” Korean Institute of Information Scientists and Engineers, Vol. 27, No. 2, pp. 78-80, 2000.
- Shahrabia, J., Adibib, M. A., and Mahootchia, M., "A reinforcement learning approach to parameter estimation in dynamic job shop scheduling," Computers and Industrial Engineering, Vol. 110, pp. 75-82, 2016. https://doi.org/10.1016/j.cie.2017.05.026