Classifier ensemble selection using hybrid genetic algorithms

Authors:
Young-Won Kim;Il-Seok Oh
Affiliations:
Postal Technology Research Center, ETRI, 161 Gajeong-dong, Yuseong-gu, Daejeon, Republic of Korea;Department of Computer Science, Chonbuk National University, Deokjin-dong 664-14, Jeonju, Chonbuk 561-756, Republic of Korea
Venue:
Pattern Recognition Letters
Year:
2008

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Abstract

This paper proposes a hybrid genetic algorithm for classifier ensemble selection. In this paper, two local search operations used to improve offspring prior to replacement are proposed. The operations are parameterized in order to control the computation time. Experimental results and statistical tests demonstrate the effectiveness of the proposed hybrid genetic algorithm and related local search operations.