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A New Approach of Attribute Reduction Based on Ant Colony Optimization

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3 Author(s)
Huanglin Zeng ; Dept of Electron. Eng., Sichuan Univ. of Sci. & Eng., Zigong, China ; Yan Huang ; Xiaohui Zeng

In this paper, a new approach of reducing redundancy condition is put forward based on an information consistency relationship of equivalent classification. The best coverage of data coordinated about the decision-table of an information decision system and the significance of attribute to the system is chosen as a rule of heuristic information of the attribute j by way of ant colony optimization. An algorithm of attribute reduction based on ant colony optimization is suggested to solve N-P hard problem in derivation of a minimal set of attribute reduction. The merit of the optimization of attribute reduction on ant colony algorithm is validated by the proposed application here.

Published in:

2009 Fifth International Conference on Natural Computation  (Volume:3 )

Date of Conference:

14-16 Aug. 2009