Cellular gene expression programming classifier learning

Authors:
Joanna Jédrzejowicz;Piotr Jédrzejowicz
Affiliations:
Institute of Informatics, Gdańsk University, Gdańsk, Poland;Department of Information Systems, Gdynia Maritime University, Gdynia, Poland
Venue:
Transactions on computational collective intelligence V
Year:
2011

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Abstract

In this paper we propose integrating two collective computational intelligence techniques: gene expression programming and cellular evolutionary algorithms with a view to induce expression trees, which, subsequently, serve as weak classifiers. From these classifiers stronger ensemble classifiers are constructed using majority-voting and boosting techniques. The paper includes the discussion of the validating experiment result confirming high quality of the proposed ensemble classifiers.