06053451

j

06053451 Azadeh, A. Faiz, Z.S. Asadzadeh, S.M. Tavakkoli-Moghaddam, R. An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems. Math. Comput. Simul. 82, No. 4, 666-678 (2011). 2011 Elsevier Science B.V. (North-Holland), Amsterdam EN computer simulation artificial neural network tandem queue optimization numerical examples G/G/K queue systems parametric modeling flexibility module integrated modeling knowledge-base module integrated database learning module

doi:10.1016/j.matcom.2011.06.009

Summary: 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 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).