Characterizing Fault-Tolerance of Genetic Algorithms in Desktop Grid Systems

  • Daniel Lombraña González
  • Juan Luís Jiménez Laredo
  • Francisco Fernández de Vega
  • Juan Julián Merelo Guervós
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6022)


This paper presents a study of the fault-tolerant nature of Genetic Algorithms (GAs) on a real-world Desktop Grid System, without implementing any kind of fault-tolerance mechanism. The aim is to extend to parallel GAs previous works tackling fault-tolerance characterization in Genetic Programming. The results show that GAs are able to achieve a similar quality in results in comparison with a failure-free system in three of the six scenarios under study despite the system degradation. Additionally, we show that a small increase on the initial population size is a successful method to provide resilience to system failures in five of the scenarios. Such results suggest that Paralle GAs are inherently and naturally fault-tolerant.


Fault Tolerance Desktop Grid Initial Population Size Parallel Genetic Algorithm Host Availability 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Daniel Lombraña González
    • 1
  • Juan Luís Jiménez Laredo
    • 2
  • Francisco Fernández de Vega
    • 1
  • Juan Julián Merelo Guervós
    • 2
  1. 1.University of ExtremaduraSpain
  2. 2.University of Granada. ATC-ETSIITGranadaSpain

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