A Parallel Genetic Algorithms Framework based on Hadoop MapReduce
Refereed Conference Meeting Proceeding
This paper describes a framework for developing parallel Ge- netic Algorithms ( GAs ) on the Hadoop platform, following the paradigm of MapReduce . The framework allows devel- opers to focus on the aspects of GA that are specic to the problem to be addressed. Using the framework a GA appli- cation has been devised to address the Feature Subset Selec- tion problem. A preliminary performance analysis showed promising results.
ACM SAC 2015
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National University of Ireland, Dublin (UCD)
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