Improved particle swarm optimization algorithm and its application in text feature selection

•We proposed three improved Particle swarm optimization models based on a common PSO model and two improved PSO models.•Selecting Reuters-21578 as the corpus, six experiments are conducted respectively using improved PSO models.•Combining asynchronously inertia weight and constriction factor is the...

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Veröffentlicht in:	Applied soft computing Jg. 35; S. 629 - 636
Hauptverfasser:	Lu, Yonghe, Liang, Minghui, Ye, Zeyuan, Cao, Lichao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2015
Schlagworte:	Constriction factor Particle swarm optimization algorithm Text classification Text feature selection Constriction factor Text feature selection Particle swarm optimization algorithm Text classification
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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