Throughput Maximization of Queueing Networks with Simultaneous Minimization of Service Rates and Buffers

Abstract EN

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.