Diagnóstico em Nível de Sistema Baseado em Computação Evolucionária

  • Bogdan Tomoyuki Nassu UFPR
  • Aurora T. Ramirez Pozo UFPR
  • Elias Procópio Duarte Jr. UFPR

Abstract


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.

References

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Published
2004-05-10
NASSU, Bogdan Tomoyuki; POZO, Aurora T. Ramirez; DUARTE JR., Elias Procópio. Diagnóstico em Nível de Sistema Baseado em Computação Evolucionária. In: FAULT TOLERANCE WORKSHOP (WTF), 5. , 2004, Gramado/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2004 . p. 97-108. ISSN 2595-2684. DOI: https://doi.org/10.5753/wtf.2004.23383.