Feature selection using tabu search method

نویسندگان

  • Hongbin Zhang
  • Guangyu Sun
چکیده

Selecting an optimal subset from original large feature set in the design of pattern classi"er is an important and di$cult problem. In this paper, we use tabu search to solve this feature selection problem and compare it with classic algorithms, such as sequential methods, branch and boundmethod, etc., and most other suboptimal methods proposed recently, such as genetic algorithm and sequential forward (backward) #oating search methods. Based on the results of experiments, tabu search is shown to be a promising tool for feature selection in respect of the quality of obtained feature subset and computation e$ciency. The e!ects of parameters in tabu search are also analyzed by experiments. 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

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عنوان ژورنال:
  • Pattern Recognition

دوره 35  شماره 

صفحات  -

تاریخ انتشار 2002