Characterizing fault tolerance in genetic programming
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Characterizing fault tolerance in genetic programming
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This paper presents a research about the Fault Tolerancenature of the Island Model when applied to Distributed-Parallel Genetic Algorithms (GAs). Parallel and distributed models have been extensively applied to GAs when researchers tackle hard problems. Nevertheless, there are few works dealing with the problem of failures that are usually present when a distributed infrastructure is employed. The main results from this research suggest that the GAs Island Modelsare fault tolerant by nature.