A multi-objective particle swarm optimization algorithm for rule discovery

Sheng Tun Li, Chih Chuan Chen, Jian Wei Li

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Rule discovery is usually posed as a multi-objective optimization problem with two criteria, predictive accuracy and comprehensibility. Single-objective particle swarm optimization algorithm, which combines the two criteria into one, has been shown to have convincing results on the classification tasks. However, it does not take the nature of the optimality conditions for multiple objectives into account. It is well known that accuracy and comprehensibility are hardly attainable simultaneously, which makes the optimization problem difficult to solve efficiently. In this paper, we propose a multi-objective PSO algorithm to solve the problem. The experimental result shows that our algorithm has better performance than its single-objective counterpart.

原文English
主出版物標題Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
頁面597-600
頁數4
DOIs
出版狀態Published - 2007
事件3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan
持續時間: 2007 11月 262007 11月 28

出版系列

名字Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
2

Other

Other3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
國家/地區Taiwan
城市Kaohsiung
期間07-11-2607-11-28

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 訊號處理
  • 資訊系統與管理

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