Performance analysis of an evolutionary algorithm for fault detection in t-diagnosable multi-processor systems

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dc.contributor.authorMourad, Elhadef
dc.contributor.authorRomdhane, Lotfi Ben
dc.contributor.authorAyeb, B
dc.date.accessioned2022-04-01T10:58:39Z
dc.date.accessioned2023-08-19T08:18:01Z
dc.date.available2022-04-01T10:58:39Z
dc.date.available2023-08-19T08:18:01Z
dc.date.issued2017-10
dc.description.abstractIn this paper, we present a performance analysis of an evolutionary approach for fault identification in t-diagnosable systems, i.e. systems in which the set of t permanently faulty units could be unambiguously identified. The proposed algorithm is based on evolutionary/genetic computing and is shown to correctly identify the set of faulty units. Simulation results are more than encouraging and should stimulate future research.en_US
dc.identifier.citationElhadef, M., Romdhane, L. B., & Ayeb, B. (2007). Performance analysis of an evolutionary algorithm for fault detection in t-diagnosable multi-processor systems. The International Journal of Parallel, Emergent and Distributed Systems, 22(5), 387-404.en_US
dc.identifier.doihttps://doi.org/10.1080/17445760701207629
dc.identifier.urihttps://edms.wexl.in/handle/1/3087
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectFault toleranceen_US
dc.subjectSystem-level fault diagnosisen_US
dc.subjectt-diagnosable systemsen_US
dc.subjectGenetic algorithmsen_US
dc.titlePerformance analysis of an evolutionary algorithm for fault detection in t-diagnosable multi-processor systemsen_US
dc.title.alternativejournal Articalen_US
dc.typeArticleen_US

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