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Performance optimization of open zero-buffer multi-server queueing networks
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DOI：10.1016/j.cor.2009.11.004.png)
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Abstract
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Open zero-buffer multi-server general queueing networks occur throughout a number of physical systems in the semi-process and process industries. in this paper, we evaluate the performance of these systems in terms of throughput using the generalized expansion method (GEM) and compare our results with simulation. Secondly, we embed the performance evaluation in a multi-objective optimization setting. This multi-objective optimization approach results in the Pareto efficient curves showing the trade-off between the total number of servers used and the throughput. Experiments for a large number of settings and different network topologies are presented in detail. (C) 2009 Elsevier Ltd. All rights reserved.
Keywords:
Zero buffer systems
Pareto efficiency
Performance evaluation and optimization
Genetic algorithms
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