An adaptive cuckoo optimization algorithm for system design optimization under failure dependencies

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dc.contributor.authorMellal, Mohamed Arezki
dc.contributor.authorZio, Enrico
dc.date.accessioned2021-03-10T11:56:45Z
dc.date.available2021-03-10T11:56:45Z
dc.date.issued2019
dc.description.abstractThis article presents an algorithm for optimal redundancy and repair team allocation with respect to minimum system cost and a system availability constraint. Four scenarios are considered for the failures occurring in the subsystems of the system: independence, linear dependence, weak dependence, and strong dependence. An adaptive cuckoo optimization algorithm is developed for solving the nonlinear integer optimization problem of allocation. A series–parallel system with six subsystems is considered as a case study for demonstration purposes. The results obtained highlight the good performance of the developed algorithmen_US
dc.identifier.issn1748-006X
dc.identifier.uriDOI: 10.1177/1748006X19863639
dc.identifier.urihttps://journals.sagepub.com/doi/abs/10.1177/1748006X19863639
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/6603
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.relation.ispartofseriesProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability/ Vol.233, N°6 (2019); pp. 1099-1105
dc.subjectRedundancy allocationen_US
dc.subjectRepair allocationen_US
dc.subjectSystem availabilityen_US
dc.subjectFailure dependenciesen_US
dc.subjectAdaptive cuckoo optimization algorithmen_US
dc.subjectSeries–parallel systemen_US
dc.titleAn adaptive cuckoo optimization algorithm for system design optimization under failure dependenciesen_US
dc.typeArticleen_US

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