Feature selection algorithm based on improved particle swarm joint taboo search

Feature selection algorithm based on improved particle swarm joint taboo search

To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. The genetic algorithm was used to improve the particle swarm optimization, and the initial optimal solutio...

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Bibliographic Details
Main Authors: Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-12-01
Series:Tongxin xuebao
Subjects:
intrusion detection
feature selection
particle swarm optimization
genetic algorithm
taboo search
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000−436x.2018287/
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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000−436x.2018287/

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