Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies

Feature selection (FS) is an important preprocessing technique for dimensionality reduction in classification problems. Particle swarm optimization (PSO) algorithms have been widely used as the optimizers for FS problems. However, with the increase of data dimensionality, the search space expands dr...

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Bibliographic Details
Published inApplied soft computing Vol. 106; p. 107302
Main Authors Li, An-Da, Xue, Bing, Zhang, Mengjie
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.07.2021
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