참고문헌
- Arroyo, J. E. C. and V. A. Armentano, "A partial enumeration heuristic for multi-objective flowshop scheduling problems," Journal of the Operational Research Society 55, 9 (2004), 1000-1007. https://doi.org/10.1057/palgrave.jors.2601746
- Arroyo, J. E. C. and V. A. Armentano, "Genetic local search for multi-objective flowshop scheduling problems," European Journal of Operational Research 167, 3 (2005), 717-738. https://doi.org/10.1016/j.ejor.2004.07.017
- Breiman, L., "Random forests," Machine Learning 45, 1 (2001), 5-32. https://doi.org/10.1023/A:1010933404324
- Breiman, L., J. Friedman, R. Olshen, and C. Stone, Classification and Regression Trees, CRC Press, New York, 1999.
- Chen, W., J. Song, L. Shi, L. Pi, and P. Sun, "Data mining- based dispatching system for solving the local pickup and delivery problem," Annals of Operations Research 203, 1 (2013), 351-370. https://doi.org/10.1007/s10479-012-1118-1
- Choobinech, F. F., E. Mohebbi, and H. Khoo, "A multiobjective tabu search for a single-machine scheduling problem with sequence-dependent setup times," European Journal of Operational Research 175, 1 (2006), 318-337. https://doi.org/10.1016/j.ejor.2005.04.038
- Gagne, C., M. Gravel, and W. L. Price, "Using metaheuristic compromise programming for the solution of multi-objective scheduling problem," Journal of the Operational Research Society 56, 6 (2005), 687-698. https://doi.org/10.1057/palgrave.jors.2601868
- Gupta, A. K. and A. I. Sivakumar, "Single machine scheduling with multiple objectives in semiconductor manufacturing," International Journal of Advanced Manufacturing Technology 26, 9/10 (2005), 950-958. https://doi.org/10.1007/s00170-004-2074-y
- Hastie, T., R. Tibsharani, and J. Friedman, The Elements of Statistical Learning, Springer, New York, 2001.
- Jones, D. F., S. K. Mirrazavi, and M. Tamiz, "Multiobjective meta-heuristic: An overview of the current state-of-the-art," European Journal of Operational Research 137, 1 (2002), 1-9. https://doi.org/10.1016/S0377-2217(01)00123-0
- Koonce, D. A. and S. C. Tsai, "Using data mining to find patterns in genetic algorithm solutions to a job shop schedule," Computers and Industrial Engineering 38, 3 (2000), 361-374. https://doi.org/10.1016/S0360-8352(00)00050-4
- Kutanoglu, E. and I. Sabuncuoglu, "Experimental investigation of iterative simulation-based scheduling in a dynamic and stochastic job shop," Journal of Manufacturing Systems 20, 4 (2001), 264-279. https://doi.org/10.1016/S0278-6125(01)80046-7
- Li, X. and S. Olafsson, "Discovering dispatching rules using data mining," Journal of Scheduling 8, 6 (2005), 515-527. https://doi.org/10.1007/s10951-005-4781-0
- Loukil, T., J. Teghem, and P. Fortemps, "A multi-objective production scheduling case study solved by simulated annealing," European Journal of Operational Research 179, 3 (2007), 709-722. https://doi.org/10.1016/j.ejor.2005.03.073
- Loukil, T., J. Teghem, and D. Tuyttens, "Solving multiobjective production scheduling problems using metaheuristics," European Journal of Operational Research 161, 1 (2005), 42-61. https://doi.org/10.1016/j.ejor.2003.08.029
- Metan, G., I. Sabuncuoglu, and H. Pierreval, "Real time selection of scheduling rules and knowledge extraction via dynamically controlled data mining," International Journal of Production Research 48, 23 (2010), 6909-6938. https://doi.org/10.1080/00207540903307581
- Naderi, B., R. Tavakkoli-Moghaddam, and M. Khalili, "Electromagnetism-like mechanism and simulated annealing algorithms for flowshop scheduling problems minimizing the total weighted tardiness and makespan," Knowledge-Based Systems 23, 2 (2010), 77-85. https://doi.org/10.1016/j.knosys.2009.06.002
- Pinedo, M., Planning and Scheduling in Manufacturing and Services, Springer, New York, 2005.
- Sha, D. Y. and C. H. Liu, "Using data mining for due date assignment in a dynamic job shop environment," International Journal of Advanced Manufacturing Technology 25, 11/12 (2005), 1164-1174. https://doi.org/10.1007/s00170-003-1937-y
- Taboada, H. A. and D. W. Coit, "Multi-objective scheduling problems: Determination of pruned Pareto sets," IIE Transactions 40, 5 (2008), 552-564. https://doi.org/10.1080/07408170701781951
- Ulungu, E. L., J. Teghem, and C. Ost, "Efficiency of interactive multi-objective simulated annealing through a case study," Journal of the Operational Research Society 49, 10 (1998), 1044-1050. https://doi.org/10.1057/palgrave.jors.2600569