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A Parallel Genetic Algorithms Framework based on Hadoop MapReduce

Authors: 

Filomena Ferrucci, Tahar Kechadi, Federica Sarro

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
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 speci c 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.
Conference Name: 
ACM SAC 2015
Digital Object Identifer (DOI): 
10.1145/2695664.2696060
Publication Date: 
13/04/2015
Conference Location: 
Spain
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No