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计算机工程 ›› 2011, Vol. 37 ›› Issue (8): 183-185. doi: 10.3969/j.issn.1000-3428.2011.08.063

• 人工智能及识别技术 • 上一篇    下一篇

基于遗传禁忌搜索的分类器选择集成方法

张 永,朱林杰   

  1. (兰州理工大学计算机与通信学院,兰州 730050)
  • 出版日期:2011-04-20 发布日期:2012-10-31
  • 作者简介:张 永(1968-),男,教授,主研方向:智能信息处理;朱林杰,硕士
  • 基金资助:
    甘肃省自然科学基金资助项目(0809RJZA015)

Classifier Selection Integrated Method Based on Genetic Tabu Search

ZHANG Yong, ZHU Lin-jie   

  1. (School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China)
  • Online:2011-04-20 Published:2012-10-31

摘要: 为提高入侵检测的精度,提出一种使用遗传禁忌搜索的分类器选择集成方法。该方法采用Bagging算法构建初始分类器集合,根据遗传禁忌搜索算法选择分类器子集,以该子集建立多分类器系统进行入侵检测。实验结果表明,与Bagging算法相比,该方法能有效提高检测精度、降低误报率。

关键词: 分类器, 遗传禁忌搜索, Bagging算法, 遗传算法

Abstract: In order to improve the accuracy of intrusion detection, this paper puts forward a classifier integration method which uses tabu genetic search. It uses Bagging algorithm to found classifiers. It adopts tabu genetic search to select classifier, and uses the selected classifiers to establish an intrusion detection system. Experimental results show that compared with Bagging algorithm, this method can improve detection accuracy and reduce false alarm rate.

Key words: classifier, genetic tabu search, Bagging algorithm, genetic algorithm

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