کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1139789 | 956695 | 2011 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems](/preview/png/1139789.png)
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).
Journal: Mathematics and Computers in Simulation - Volume 82, Issue 4, December 2011, Pages 666–678