Публікація:
Multi-version Digital Systems Evolved with Genetic Algorithms: Designing and Estimating Fault Tolerance

dc.contributor.authorKharchenko, V.
dc.contributor.authorYakymets, N.
dc.date.accessioned2016-09-02T07:52:37Z
dc.date.available2016-09-02T07:52:37Z
dc.date.issued2008
dc.description.abstractThe paper discusses the main challenges in multiversion system design. Most of the current techniques for design diversity rely on a system life cycle within a single design concept, so it is not possible to make a system robust to the defects that are common to each version since widely used Computer Aided Design (CAD) tools usually have only standard algorithms and conventional logic implemented. In this work, we give a solution to the problem of achieving the least correlation level within the multi-version projects by using different approaches to system design. Focusing on the non-classical design based on the genetic algorithms (GAs), we represent the metrics to assess a diversity level in multiversion digital systems and suggest several methods to estimate the reliability of such systems. We prove those by an example of heating controller for AN-70 plane as well.uk_UA
dc.identifier.citationKharchenko, V. Multi-version Digital Systems Evolved with Genetic Algorithms: Designing and Estimating Fault Tolerance / V. Kharchenko, N. Yakymets // Радиоэлектроника и информатика : науч.-техн. журн. – Х. : Изд-во ХНУРЭ, 2008. – Вып. 4. – С. 25-31.uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/1970
dc.language.isoenuk_UA
dc.publisherХНУРЭuk_UA
dc.subjectDigital Automatauk_UA
dc.subjectGenetic Algorithmsuk_UA
dc.subjectMulti-Version Systemsuk_UA
dc.subjectFault Toleranceuk_UA
dc.titleMulti-version Digital Systems Evolved with Genetic Algorithms: Designing and Estimating Fault Toleranceuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

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