This paper describes a framework for developing parallel Genetic Algorithms (GAs) on the Hadoop platform, following the paradigm of MapReduce. The framework allows developers to focus on the aspects of GA that are specific to the problem to be addressed. Using the framework a GA application has been devised to address the Feature Subset Selection problem. A preliminary performance analysis showed promising results.

A parallel genetic algorithms framework based on Hadoop MapReduce

FERRUCCI, Filomena;SALZA, PASQUALE;SARRO, FEDERICA
2015

Abstract

This paper describes a framework for developing parallel Genetic Algorithms (GAs) on the Hadoop platform, following the paradigm of MapReduce. The framework allows developers to focus on the aspects of GA that are specific to the problem to be addressed. Using the framework a GA application has been devised to address the Feature Subset Selection problem. A preliminary performance analysis showed promising results.
9781450331968
9781450331968
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4672892
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