An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems

A. Azadeh, Z.S. Faiz, S.M. Asadzadeh and R. Tavakkoli-Moghaddam

Mathematics and Computers in Simulation (MATCOM), 2011, vol. 82, issue 4, 666-678

Abstract: This paper presents an integrated artificial neural network-computer simulation (ANNSim) for optimization of G/G/K queue systems. The ANNSim is a computer program capable of improving its performance by referring to production constraints, system's limitations and desired targets. It is a goal oriented, flexible and integrated approach and produces the optimum solution by utilizing Multi Layer Perceptron (MLP) neural networks. The properties and modules of the prescribed intelligent ANNSim are: (1) parametric modeling, (2) flexibility module, (3) integrated modeling, (4) knowledge-base module, (5) integrated database and (6) learning module. The integrated ANNSim is applied to 30 distinct tandem G/G/K queue systems. Furthermore, its superiority over conventional simulation approach is shown in two dimensions which are average run time and maximum number of required iterations (scenarios).

Keywords: Computer simulation; Artificial neural network; Tandem queue; Optimization (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:82:y:2011:i:4:p:666-678

DOI: 10.1016/j.matcom.2011.06.009

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