زمان‎بندی مقاوم و پایدار برای محیط کار کارگاهی منعطف با شکست تصادفی ماشین

Al-Hinai, N., ElMekkawy, T.Y. (2011a(. An efficient hybridized genetic algorithm architecture for the flexible job-shop scheduling problem. Flexible Services and Manufacturing Journal, 23 (1): 64-85.

Al-Hinai, N., ElMekkawy, T.Y. (2011b). Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm. International Journal of  Production Economics, 132 (2): 279-291.

Anglani, A., Grieco, A., Guerriero, E., Musmanno, R., (2005). Robust scheduling of parallel machines with sequence-dependent set-up costs. European Journal of Operational Research, 161 (3):704-720.

Bouyahia, Z., Bellalouna, M., Jaillet, P., Ghedira, K. (2010). A priori parallel machines scheduling. Computers & Industrial Engineering, 58(3): 488-500.

Brandimarte, P. (1993). Routing and scheduling in a flexible job shop by tabu search. Annals of Operations Research, 41(3): 157–183.

Byeon, E., Wu, S.D. and Storer, R.H. (1998). Decomposition heuristics for robust job- shop scheduling. IEEE Transactions on Robotics and Automation, 4 (2): 303-313.

Cheng, R., Gen, M. and Tsujimura, Y. (1996). A tutorial survey of job-shop scheduling problems using genetic algorithms – I. Representation. Computers & Industrial Engineering, 30 (4): 983-997.

Gen, M. & Cheng, R. (2000). Genetic algorithms & engineering optimization, Wiley Series in Engineering Design and Automation, New York: John Wiley & Sons.

Gholami, M., Zandieh, M. (2009). Scheduling a hybrid flow shop with sequence dependent setup times and machines with random breakdowns. Tehran: Shahid Beheshti University. (in Persian)

Ho, N.B., Tay, J.C. & Lai, E. M-K. (2007). An effective architecture for learning and evolving flexible job-shop schedules. European Journal of Operational Research, 179 (2): 316-333.

Holthaus, O. (1999). Scheduling in job shops with machine breakdowns: an experimental study. Computers and Industrial Engineering, 36 (1):137–162.

Hurink, J., Jurisch, B., Thole, M. (1994).  Tabu search for the job shop scheduling problem with multi-purpose machines. Operations Research-Spektrum, 15 (4):  205-215.

Jensen, M.T. (2001b). Improving robustness and flexibility of tardiness and total flow time job shops using robustness measure. Applied Soft Computing, 1 (1): 35-52.

Jensen, M.T. (2003). Generating robust and flexible job shop schedules using genetic algorithms. IEEE Transactions on Evolutionary Computation, 7 (3): 275-288.

Kacem, I., Hammadi, S. & Borne, P. (2002a). Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems. IEEE Transactions on Systems, Man and Cybernetics, 32 (1): 1-13.

Kouvelis, P., Daniels, R. L. & Vairaktarakis, G. (2000). Robust scheduling of a two machine flow shop with uncertain processing times. IIE Transactions, 32 (5): 421- 432.

Kutanoglu, E. & Wu, S.D. (1998). Improving schedule robustness via stochastic analysis and dynamic adaptation. IMSE Technical Report 98T-001. Available in: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.30.8534& rep= rep1&type=pdf.

Leon, V. J., Wu, S.D. & Storer, R. H. (1994). Robustness measures and robust scheduling for job shops. IIE Transactions, 26 (5): 32-43.

Liu, L., Gu, H., Xi, Y. (2007). Robust and stable scheduling of a single machine with Random machine breakdowns. International Journal of Advanced Manufacturing Technology, 31 (7-8): 645-654.

Mahmoudi, S., Lotfi, S. (2012). Discrete Manufacturing Cuckoo Search algorithm Case study: Graph Coloring Problem. Tabriz: University collage of Nabi Akram. (in Persian)

Matsveichuk, N.M., Sotskov, Yu. N., Egorova, N.G. and Lai, T.C. (2009). Schedule execution for two-machine flow-shop with interval processing times. Mathematical and Computers Modeling, 49 (5-6): 991-1011.

Mattfeld, D.C. (1996). Evolutionary search and the job shop: investigations on genetic algorithms for production scheduling, Germany: Heidelberg: Physica - Verlag.

Mesghouni, K., Hammadi, S., and Borne, P. (1997). Evolution programs for job-shop scheduling. IEEE International Conference on Systems, Man, and Cybernetics, Orlando, Florida, 1: 720-725.

Montemanni, R. (2007). A mixed integer programming formulation for the total flow time single machine robust scheduling problem with interval data. Journal of Mathematical Modeling Algorithms, 6 (2): 287-296.

Policella, N., Cesta, A., Oddi, A. & Smith, S.F. (2005). Schedule robustness through broader solve and robustify search for partial order schedules. Lecture Notes in Artificial Intelligence, 3673: 160-172.

Policella, N., Oddi, A., Smith, S.F. and Cesta, A. (2004). Generating robust partial order schedules. M. Wallace (Ed.): CP 2004, Lecture Notes in Computer Science, 3258: 496-511.

Rangsaritratsamee, R., Ferrell, W.G. & Kurtz, M.B. (2004). Dynamic rescheduling that simultaneously considers efficiency and stability. Computers & Industrial Engineering, 46 (1): 1-15.

Sevaux, M., Sorensen, K. (2004). A genetic algorithm for robust schedules in a one machine environment with ready times and due dates. Quarterly Journal of the Belgian, French and Italian Operations Research Societies, 4OR (2): 129-147.

Shafaei, R. & Brunn, P. (2000). Workshop scheduling using practical (inaccurate) data Part 3: A framework to integrate job releasing, routing and scheduling functions to 139 create a robust predictive schedule. International Journal of Production Research, 38 (1): 85 – 99.

Wei, Q. & Qiaoyun, L. (2009). Solving the flexible job shop scheduling problem based on the adaptive genetic algorithm. 2009 International Forum on Computer Science-Technology and Applications, 1: 97-100.