An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems
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DOI: 10.1016/j.matcom.2011.06.009
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References listed on IDEAS
- A. Azadeh & M. Haghnevis & Y. Khodadadegan, 2009. "An improved model for production systems with mixed queuing priorities: an integrated simulation, AHP and Value Engineering approach," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 4(5), pages 536-553.
- Azadeh, A. & Asadzadeh, S.M. & Ghanbari, A., 2010. "An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments," Energy Policy, Elsevier, vol. 38(3), pages 1529-1536, March.
- Chen, Serena H. & Jakeman, Anthony J. & Norton, John P., 2008. "Artificial Intelligence techniques: An introduction to their use for modelling environmental systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 379-400.
- Chambers, M. & Mount-Campbell, C. A., 2002. "Process optimization via neural network metamodeling," International Journal of Production Economics, Elsevier, vol. 79(2), pages 93-100, September.
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Cited by:
- A. Azadeh & M. S. Naghavi lhoseiny & V. Salehi, 2018. "Optimum alternatives of tandem G/G/K queues with disaster customers and retrial phenomenon: interactive voice response systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(3), pages 535-562, July.
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Keywords
Computer simulation; Artificial neural network; Tandem queue; Optimization;All these keywords.
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