Classifier ensemble selection using hybrid genetic algorithms

被引：26

作者：

Kim, Young-Won ^{[2
]}

Oh, Il-Seok ^{[1
]}

机构：

[1] Chonbuk Natl Univ, Dept Comp Sci, Jeonju 561756, Chonguk, South Korea

[2] ETRI, Postal Technol Res Ctr, Taejon, South Korea

来源：

PATTERN RECOGNITION LETTERS | 2008年 / 29卷 / 06期

关键词：

multiple classifier combination; ensemble selection; genetic algorithm; local search operation;

D O I：

10.1016/j.patrec.2007.12.013

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (c) 2008 Elsevier B.V. All rights reserved.

引用

页码：796 / 802

页数：7

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