Throughput maximization of queueing networks with simultaneous minimization of service rates and buffers.

*(English)*Zbl 1264.90054Summary: The throughput of an acyclic, general-service time queueing network was optimized, and the total number of buffers and the overall service rate was reduced. To satisfy these conflicting objectives, a multiobjective genetic algorithm was developed and employed. Thus, our method produced a set of efficient solutions for more than one objective in the objective function. A comprehensive set of computational experiments was conducted to determine the efficacy and efficiency of the proposed approach. Interesting insights obtained from the analysis of a complex network may assist practitioners in planning general-service queueing networks.

##### MSC:

90B22 | Queues and service in operations research |

90B10 | Deterministic network models in operations research |

90C29 | Multi-objective and goal programming |

90C59 | Approximation methods and heuristics in mathematical programming |

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\textit{F. R. B. Cruz} et al., Math. Probl. Eng. 2012, Article ID 692593, 19 p. (2012; Zbl 1264.90054)

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