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Classifier ensemble selection using hybrid genetic algorithms
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DOI：10.1016/j.patrec.2007.12.013.png)
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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.
Keyword:
multiple classifier combination
ensemble selection
genetic algorithm
local search operation
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