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Diagnóstico em Nível de Sistema Baseado em Computação Evolucionária

Bogdan Tomoyuki NassuAurora T. Ramirez PozoElias Procópio Duarte Jr.

The size and complexity of systems based on multiple processing units asks for the employment of techniques for automatic diagnosis of these units. System-level diagnosis consists in determining which units in a system are faulty and which are fault-free. This work describes evolutionary algorithms that can be used to accomplish diagnosis. A simple and a specialized genetic algorithm, as well as variants of the PBIL and Compact GA algorithms were implemented. Experimental results show a comparison of the performances of these algorithms.

http://www.lbd.dcc.ufmg.br:8080/colecoes/wtf/2004/009.pdf

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