Improvement of system reliability in a natural gas processing facility by PSO and DE

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dc.contributor.authorSaheb, Tafsouthe
dc.contributor.authorMellal, Mohamed Arezki
dc.date.accessioned2024-02-27T07:27:25Z
dc.date.available2024-02-27T07:27:25Z
dc.date.issued2024
dc.description.abstractThe reliability of the systems as well as its optimization is the first concern of the designers. The elements of a given system can be either in series, parallel, parallel-series, or in a complex configuration. This paper addresses the reliability optimization of a natural gas processing facility. The reliability of this system is calculated and two redundancies strategies, active and standby, are optimized under the resource limits to improve reliability. Two bio-inspired optimization algorithms, namely the particle swarm optimization (PSO) and the differential evolution (DE), are implemented with penalty functions to find the optimal redundancy. The results obtained are compared.en_US
dc.identifier.issn1955-2513
dc.identifier.urihttps://link.springer.com/article/10.1007/s12008-023-01444-z
dc.identifier.urihttps://doi.org/10.1007/s12008-023-01444-z
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/13575
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofseriesInternational Journal on Interactive Design and Manufacturing/Vol. 18, N° 1(2024);PP. 167 - 176
dc.subjectArtificial intelligenceen_US
dc.subjectBio-inspired algorithmsen_US
dc.subjectDifferential evolutionen_US
dc.subjectNatural gas processing facilityen_US
dc.subjectOptimizationen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectRedundancy allocationen_US
dc.subjectSystem reliabilityen_US
dc.titleImprovement of system reliability in a natural gas processing facility by PSO and DEen_US
dc.typeArticleen_US

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