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Information query immune algorithm based on vector space model

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2 Author(s)
Zi-Qiang Wang ; Dept. of Comput. Sci., Xi''an Jiaotong Univ., China ; Bo-qin Feng

To efficiently satisfy the user query requirements in information retrieval, a novel immune query optimization algorithm for information retrieval is proposed. The core of the immune algorithm lies on constructing the immune operator that is realized by vaccination and immune selection. The strategies and the methods of selecting and constructing a vaccine for the problem are given in the paper. Immune algorithm for query optimization introduces the immune operators to genetic algorithms for query optimization. This algorithm properly deals with the degeneration in conventional genetic algorithms, therefore increases the convergence speed. Experimental results show that the novel algorithm has higher precision and faster computation speed.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:4 )

Date of Conference:

26-29 Aug. 2004