What is it about?
The paper investigates and compares three parallelisation approaches for genetic algorithms applied to the fault prediction problem with respect to execution time and quality of the solution produced.
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Why is it important?
It is the first work comparing these three approaches for the fault prediction problem using real-world open-source software projects.
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This page is a summary of: Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models, Evolutionary Computation, December 2018, The MIT Press,
DOI: 10.1162/evco_a_00213.
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