Post-processing improvements in multi-objective optimization of general single-server finite queueing networks.

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dc.contributor.authorSouza, Gabriel Lima de
dc.contributor.authorDuarte, Anderson Ribeiro
dc.contributor.authorMoreira, Gladston Juliano Prates
dc.contributor.authorCruz, Frederico Rodrigues Borges da
dc.date.accessioned2023-07-24T19:54:01Z
dc.date.available2023-07-24T19:54:01Z
dc.date.issued2023pt_BR
dc.description.abstractAn alternative mathematical programming formulation is considered for a mixed-integer optimization problem in queueing networks. The sum of the blocking probabilities of a general service time, single server, and the finite, acyclic queueing network is minimized, and so are the total buffer sizes and the overall service rates. A multi-objective genetic algorithm (MOGA) and a particle swarm optimization (MOPSO) algorithm are combined to solve this difficult stochastic problem. The derived algorithm produces a set of efficient solutions for multiple objectives in the objective function. The implementation of the optimization algorithms is dependent on the generalized expansion method (GEM), a classical tool used to evaluate the performance of finite queueing networks. We carried out a set of computational experiments to attest to the efficacy and efficiency of the proposed approach. In addition, we present a comparative analysis of the solutions before and after post-processing. Insights obtained from the study of complex queue networks may assist the planning of these types of queueing networks.pt_BR
dc.identifier.citationSOUZA, G. L. de et al. Post-processing improvements in multi-objective optimization of general single-server finite queueing networks. IEEE Latin America Transactions, v. 21, n. 3, p. 381-388, mar. 2023. Disponível em: <https://latamt.ieeer9.org/index.php/transactions/article/view/7020>. Acesso em: 06 jul. 2023.pt_BR
dc.identifier.issn1548-0992
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/17043
dc.identifier.uri2https://latamt.ieeer9.org/index.php/transactions/article/view/7020pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectConflicting objectivespt_BR
dc.subjectBuffer allocationpt_BR
dc.subjectParticle swarm optimizationpt_BR
dc.titlePost-processing improvements in multi-objective optimization of general single-server finite queueing networks.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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