یک روش تلفیقی جدید جهت تخصیص افزونگی در سیستم‌های تولیدی با استفاده از NSGA-II و MOPSO اصلاح شده

Burman, M. H. (1995). New results in flow line analysis. MIT, Cambridge, MA.

Dallery Y., Gershwin S.B. (1992). Manufacturing flow line systems: A review of models and analytical results: Queuing systems theory and applications. special issue on queuing models of manufacturing systems. 12 (2), 3-94.

Dallery, Y., Frein, Y. (1998). An efficient method to determine the optimal configuration of a flexible manufacturing system. Annals of Operations Research, 15. 207 – 225.

Deb K. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions Evoloutionary Computations. 6, 182–97.

Deb, K. (2001). Multi-objective optimization using evolutionary algorithms. John Wiley and Sons, New York.

Deb, K., Agrawal, R. B. (1995). Simulated binary crossover for continuous search space. Complex Systems. 9, 115–148.

Deb, K., Goyal, M. (1996). A combined genetic adaptive search (GeneAS) for engineering design. Computer Science Informations. 26, 30–45.

Garg, H., Rani, M., Sharma, S. (2013). An efficient two phase approach for solving reliability-redundancy allocation problem using artificial bee colony technique. Computers & Operations Research. 40 (12), 2961-2969.

Gershwin S.B., Schor J.E. (2000). Efficient algorithms for buffer space allocation. Operations research. 93 (3), 117 – 144.

He, P., Wu, K., Xu, J., Wen, J., Jiang, Z. (2013). Multilevel redundancy allocation using two dimensional arrays encoding and hybrid genetic algorithm. Computers & Industrial Engineering. 64 (1), 69-83.

Kleijnen, J. P. C. (1979). Regression meta-models for generalizing simulation results. IEEE SMC-9. 2, 93–96.

Kleijnen, J. P. C., Sargent, R. G. (2000). A methodology for fitting and validating metamodels in simulation. European Journal of Operations Research, 120, 14-29.

Kumar, R., Izui, K., Yoshimura, M., Nishiwaki, Sh. (2009). Multi-objective hierarchical genetic algorithms for multilevel redundancy allocation optimization, Reliability Engineering and System Safety. 94 (4), 891-904.

Kuo, W., Prasad, V.R. (2000). An annotated overview of system-reliability optimization. IEEE transactions on reliability. 49 (2), 176-187.

Kuo, W., Prasad, V.R., Tillman, F.A., Hwang, C.L. (2001). Optimal reliability design: fundamentals and applications. Cambridge University, London.

Kuo, W., Wan, R. (2007). Recent advances in optimal reliability allocation. IEEE transactions on systems. Man and cybernetics, Part A 37 (2), 143-156.

Lavoie, P., Kenne, J., Gharbi, A. (2009). Optimization of production control policies in failure-prone homogenous transfer lines. IEEE Transactions. 41, 209-222.

Montgomery, D. (2001). Design and analysis of experiments. John Wiley and Sons, New York.

Nahas N., Nourelfath, M., Ait-Kadi D. (2007). Coupling ant colony and the degraded ceiling algorithm for the redundancy allocation problem of series-parallel systems. Reliability Engineering and System Safety. 92 (2), 211-222.

Ouzineb, M., Nourelfath, M., Gendreau, M. (2008). Tabu search for the redundancy allocation problem of homogenous series-parallel multi-state systems. Reliability Engineering and System Safety. 93 (8), 1257-1272.

Parsopoulos, K. E., Vrahatis, M. N. (2002). Particle swarm optimization method in multiobjective problems. In Proceedings of the 2002 ACM symposium on applied computing, Madraid, Spain, 603–607.

Ravi, V., Reddy, P.J. (2000). Zimmermann, H. Fuzzy global optimization of complex system reliability. IEEE transactions on Fuzzy Systems 8 (3), 241-248.

Tan, K. C., Lee, T. H., Khor, E. F. (2001). Evolutionary algorithms for multi-objective optimization: Performance assessments and comparisons. In Proceeding of IEEE congress on the evolutionary computation, Korea, Seoul, 979–986.

Veldhuizen, D. (1999). Multiobjective evolutionary algorithms: Classification, analyses, and new innovations. Dayton, Ohio: Department of Electrical and Computer Engineering Air Force Institute of Technology.

Yeh, W.C. (2009). A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems. Expert systems with applications. 36 (5), 9192-9200.

Yun, W.Y., Kim, J.W. (2004). Multi-level redundancy optimization in series systems. Computers and Industrial Engineering. 46 (2), 337-346.

Yun, W.Y., Song, Y.M., Kim, H.G. (2007). Multiple multi-level redundancy allocation in series systems. Reliability Engineering and System Safety. 92 (3), 308-313.

Zhao, P., Chan, P., Li, L., Keung Tony Ng, H. (2013). On allocation of redundancies in two-component series systems. Operations research letters. 41 (6), 690-693.

Zoulfaghari, H., Hamadani, A., Ardakan, M. (2014). Bi-objective redundancy allocation problem for a system with mixed repairable and non-repairable components. ISA Transactions. 53 (1), 17-24.