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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Vydané v:	Applied soft computing Ročník 35; s. 629 - 636
Hlavní autori:	Lu, Yonghe, Liang, Minghui, Ye, Zeyuan, Cao, Lichao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2015
Predmet:	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
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