Please use this identifier to cite or link to this item: http://openarchive.nure.ua/handle/document/1970
Title: Multi-version Digital Systems Evolved with Genetic Algorithms: Designing and Estimating Fault Tolerance
Authors: Kharchenko, V.
Yakymets, N.
Keywords: Digital Automata
Genetic Algorithms
Multi-Version Systems
Fault Tolerance
Issue Date: 2008
Publisher: ХНУРЭ
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.
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.
URI: http://openarchive.nure.ua/handle/document/1970
Appears in Collections:Радиоэлектроника и информатика

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