期刊刊名：修平學報 　 卷期：36期

篇名出版日期：2018年3月1日

作者：Fong-Fan Wang,王風帆

語言：English

關鍵字：Retrial queueing inventory, Neural network, Genetic algorithm,重試隊列存貨系統,類神經網路,基因演算法

被點閱次數：0次

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摘要：
Some queueing systems such as vacation model, retrial queue and polling system are complex and hard to derive performance measures using mathematical approaches. Simulation may be a better choice due to its simplicity in model build-up. However, simulation is notorious for very time-consuming, not to speak that it may not be easy to optimize continuous variables. A non-preemptive priority retrial inventory queueing system, which is complex in nature in terms of operating logic and calculation procedure, is used as a test bed for a new approach. Assuming Markovian, we first derive the performance measures and observe their behavior when system parameter values are changed. Then we use artificial neural network and integrated genetic algorithm and artificial neural network to predict and optimize the system respectively. Numerical results show the proposed method is satisfactory.

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