Al-Hinai, N. and T. Y. ElMekkawy (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. and T. Y. ElMekkawy (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.
Asano, M. and H. Ohta (2002). A heuristic for job shop scheduling to minimize total weighted tardiness. Computers & Industrial Engineering 42(2–4): 137-147.
Bagheri, A. and M. Zandieh (2011). Bi-criteria flexible job-shop scheduling with sequence-dependent setup times—variable neighborhood search approach. Journal of Manufacturing Systems 30(1): 8-15.
Brucker, P., et al. (1994). A branch and bound algorithm for the job-shop scheduling problem. Discrete Applied Mathematics 49(1–3): 107-127.
Carlier, J. and E. Pinson (1989). An Algorithm for Solving the Job-Shop Problem. Management Science 35(2): 164-176.
Della Croce, F., et al. (1995). A genetic algorithm for the job shop problem. Computers & Operations Research 22(1): 15-24.
Ebadi, A. and G. Moslehi (2013). An optimal method for the preemptive job shop scheduling problem. Computers & Operations Research 40(5): 1314-1327.
Fattahi, P. and F. Daneshamooz (2017). Hybrid algorithms for Job shop Scheduling Problem with Lot streaming and A Parallel Assembly Stage. Journal of Industrial and Systems Engineering 10(3): 92-112.
Fattahi, P., et al. (2007). Mathematical modeling and heuristic approaches to flexible job shop scheduling problems. Journal of Intelligent Manufacturing 18(3): 331-342.
Garey, M. R., et al. (1976). The Complexity of Flowshop and Jobshop Scheduling. Mathematics of Operations Research 1(2): 117-129.
Gonçalves, J. F., et al. (2005). A hybrid genetic algorithm for the job shop scheduling problem. European Journal of Operational Research 167(1): 77-95.
González, M. A., et al. (2013). Lateness minimization with Tabu search for job shop scheduling problem with sequence dependent setup times. Journal of Intelligent Manufacturing 24(4): 741-754.
Kim, S. and P. Bobrowski (1994). Impact of sequence-dependent setup time on job shop scheduling performance. The International Journal of Production Research 32(7): 1503-1520.
Kuhpfahl, J. and C. Bierwirth (2016). A study on local search neighborhoods for the job shop scheduling problem with total weighted tardiness objective. Computers & Operations Research 66: 44-57.
Kurdi, M. (2016). An effective new island model genetic algorithm for job shop scheduling problem. Computers & Operations Research 67: 132-142.
Laarhoven, P. J. M. v., et al. (1992). Job Shop Scheduling by Simulated Annealing. Operations Research 40(1): 113-125.
Lee, Y. H. and M. Pinedo (1997). Scheduling jobs on parallel machines with sequence-dependent setup times. European Journal of Operational Research 100(3): 464-474.
Li, J.-Q., et al. (2014). A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities. Applied Mathematical Modelling 38(3): 1111-1132.
Mattfeld, D. C. and C. Bierwirth (2004). An efficient genetic algorithm for job shop scheduling with tardiness objectives. European Journal of Operational Research 155(3): 616-630.
Mousakhani, M. (2013). Sequence-dependent setup time flexible job shop scheduling problem to minimise total tardiness. International journal of production research 51(12): 3476-3487.
Naderi, B. and A. Azab (2014). Modeling and heuristics for scheduling of distributed job shops. Expert Systems with Applications 41(17): 7754-7763.
Naderi, B., et al. (2009). Scheduling job shop problems with sequence-dependent setup times. International journal of production research 47(21): 5959-5976.
Naderi, B., et al. (2009). Scheduling sequence-dependent setup time job shops with preventive maintenance. The International Journal of Advanced Manufacturing Technology 43(1): 170-181.
Nowicki, E. and C. Smutnicki (1996). A Fast Taboo Search Algorithm for the Job Shop Problem. Management Science 42(6): 797-813.
Özgüven, C., et al. (2012). Mixed integer goal programming models for the flexible job-shop scheduling problems with separable and non-separable sequence dependent setup times. Applied Mathematical Modelling 36(2): 846-858.
Park, B. J., et al. (2003). A hybrid genetic algorithm for the job shop scheduling problems. Computers & Industrial Engineering 45(4): 597-613.
Petrovic, S., et al. (2008). Fuzzy job shop scheduling with lot-sizing. Annals of Operations Research 159(1): 275-292.
Pinedo (2012). Scheduling: theory, algorithms, and systems, Springer Science & Business Media.
Pinedo and M. Singer (1999). A shifting bottleneck heuristic for minimizing the total weighted tardiness in a job shop. Naval Research Logistics 46(1): 1-17.
Ponnambalam, G. S., et al. (2000). A Tabu Search Algorithm for Job Shop Scheduling. The International Journal of Advanced Manufacturing Technology 16(10): 765-771.
Qi, G. J., et al. (2000). The Application of Parallel Multipopulation Genetic Algorithms to Dynamic Job-Shop Scheduling. The International Journal of Advanced Manufacturing Technology 16(8): 609-615.
Saidi-Mehrabad, M. and P. Fattahi (2007). Flexible job shop scheduling with tabu search algorithms. The International Journal of Advanced Manufacturing Technology 32(5): 563-570.
Sharma, P. and A. Jain (2015). Performance analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent setup times: Simulation approach. CIRP Journal of Manufacturing Science and Technology 10: 110-119.
Shen, L., et al. (2017). Solving the Flexible Job Shop Scheduling Problem with Sequence-Dependent Setup Times. European Journal of Operational Research.
Sun, X. and J. S. Noble (1999). An approach to job shop scheduling with sequence-dependent setups. Journal of Manufacturing Systems 18(6): 416-430.
Taillard, E. D. (1994). Parallel Taboo Search Techniques for the Job Shop Scheduling Problem. ORSA Journal on Computing 6(2): 108-117.
Tan, et al. (2015). Configuration and the advantages of the shifting bottleneck procedure for optimizing the job shop total weighted tardiness scheduling problem. Journal of scheduling: 1-24.
Watanabe, M., et al. (2005). A genetic algorithm with modified crossover operator and search area adaptation for the job-shop scheduling problem. Computers & Industrial Engineering 48(4): 743-752.
Yang, S., et al. (2010). An improved constraint satisfaction adaptive neural network for job-shop scheduling. Journal of scheduling 13(1): 17-38.
Zhang, et al. (2007). A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem. Computers & Operations Research 34(11): 3229-3242.
Zhang, et al. (2008). A very fast TS/SA algorithm for the job shop scheduling problem. Computers & Operations Research 35(1): 282-294.
Zhang, et al. (2012). A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times. Computers & Operations Research 39(7): 1713-1723.