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Cellular Gene Expression Programming Classifier Learning

  • Joanna Jędrzejowicz
  • Piotr Jędrzejowicz
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6910)

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.

Keywords

gene expression programming cellular evolutionary algorithm ensemble classifiers 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Joanna Jędrzejowicz
    • 1
  • Piotr Jędrzejowicz
    • 2
  1. 1.Institute of InformaticsGdańsk UniversityGdańskPoland
  2. 2.Department of Information SystemsGdynia Maritime UniversityGdyniaPoland

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