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

Kharchenko, V.; Yakymets, N.

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

dc.contributor.author	Kharchenko, V.
dc.contributor.author	Yakymets, N.
dc.date.accessioned	2016-09-02T07:52:37Z
dc.date.available	2016-09-02T07:52:37Z
dc.date.issued	2008
dc.description.abstract	The 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.citation	Kharchenko, 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.uri	http://openarchive.nure.ua/handle/document/1970
dc.language.iso	en	uk_UA
dc.publisher	ХНУРЭ	uk_UA
dc.subject	Digital Automata	uk_UA
dc.subject	Genetic Algorithms	uk_UA
dc.subject	Multi-Version Systems	uk_UA
dc.subject	Fault Tolerance	uk_UA
dc.title	Multi-version Digital Systems Evolved with Genetic Algorithms: Designing and Estimating Fault Tolerance	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication