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Efficient comparison-based fault diagnosis of multiprocessor systems using an evolutionary approach

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2 Author(s)
El Hadef, M. ; Dept. of Math. & Comput. Sci., Sherbrooke Univ., Que., Canada ; Ayeb, B.

In comparison models for system-level fault diagnosis pairs of units are given the same job and results are compared. The result of such a comparison test can be 0 (match) or 1 (mismatch) and diagnosis is based on the collection of test results. Two such models have been studied, among others: the symmetric model of Chwa and Hakimi and the asymmetric model of Malek. In this paper a novel approach is proposed for identifying faulty units, based on a well-known optimization procedure, as genetic algorithms, which have proven to be useful in various kinds of problems. Furthermore, a new problem-specific genetic mutation is presented and shown to be better than the standard one. A series of simulations was conducted to show the efficiency of the genetic-based approach

Published in:

Parallel and Distributed Processing Symposium., Proceedings 15th International

Date of Conference:

Apr 2001