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ASME Press Select Proceedings
International Symposium on Information Engineering and Electronic Commerce, 3rd (IEEC 2011)
Editor
C. B. Povloviq
C. B. Povloviq
National Technical University of Ukraine
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C. W. Lu
C. W. Lu
Huangshi Institute of Technology
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ISBN:
9780791859759
No. of Pages:
562
Publisher:
ASME Press
Publication date:
2011

This study focuses on the theme of the ant colony algorithm described in thinking which is based on the analysis described in the existing classification, and proposes a recommender method base on the theme description of ant colony algorithm, which has the ability to dynamically meet the user's topic describes. The method is better than the ODP subject classification to some extent through an analysis geology topic tree instance.

Abstract
Keywords
Introduction
The Topic Describe of Ant Colony Algorithm
Application
Conclusion
Acknowledgments
References
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