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Reliability engineering & system safety, 2022-06, Vol.222, p.108393, Article 108393
2022
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Autor(en) / Beteiligte
Titel
Efficient reliability computation of a multi-state flow network with cost constraint
Ist Teil von
  • Reliability engineering & system safety, 2022-06, Vol.222, p.108393, Article 108393
Ort / Verlag
Barking: Elsevier Ltd
Erscheinungsjahr
2022
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • •This paper presents a new search method to find (d,b)-minimal paths ((d, b)-MPs).•A correlation between (d, b)-MP and minimum cost circulation is established.•The presented method searches for d-MPs via minimum feasible circulations.•The presented method outperforms the existing ones in finding all (d, b)-MPs. The reliability and cost integrated performance measure R(d,b) of a multi-state flow network, defined as the probability of sending a flow of d units from the source to the sink with the total transmission cost no more than b, can be computed by means of (d, b)-minimal paths ((d, b)-MPs). The existing methods search for (d, b)-MPs by solving a large Diophantine system or several Diophantine subsystems that are shown to be NP-hard, then the computational efforts are prohibitive. This paper proposes a new search method for (d, b)-MPs, and major contributions include: (1) a correlation between (d, b)-MPs and minimum cost circulations is established, enabling the solution of (d, b)-MPs to be accomplished via minimum cost circulations; (2) a distinctive method merging the well-known capacity scaling algorithm and a decomposition technique is presented to find (d, b)-MPs. In contrast to the existing methods, the presented algorithm seeks for (d, b)-MPs without depending upon the solutions of Diophantine system and generating any duplicate (d, b)-MPs. An illustration of the proposed algorithm is presented, and computational results indicate the advantage of our algorithm over the existing methods.
Sprache
Englisch
Identifikatoren
ISSN: 0951-8320
eISSN: 1879-0836
DOI: 10.1016/j.ress.2022.108393
Titel-ID: cdi_proquest_journals_2653336882

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