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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