A parallel genetic algorithms framework based on Hadoop MapReduce

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. Categories and Subject Descriptors C.2.4 [Computer-communication Networks]: Dis

• Type: Journal
• Year: 2015
• Where: SAC
• Authors: Filomena Ferrucci, Pasquale Salza, M. Tahar Kechadi, Federica Sarro
• Keywords: Applied Computing, SAC 2015