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A Web Document Retrieval Algorithm Based on Particle Swarm Optimization

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3 Author(s)
Ziqiang Wang ; Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou ; Xia Sun ; Dexian Zhang

With advances in the computer technologies and the rapid development of Internet, information on the Internet is increasing exponentially. To efficiently retrieve relevant documents from the explosive growth of the Internet and other sources of information access, a novel Web document retrieval algorithm based on particle swarm optimization (PSO) and linear discriminant analysis (LDA) algorithm is proposed to deal this problem. Experimental results clearly demonstrate its effectiveness and efficiency.

Published in:

Bio-Inspired Computing: Theories and Applications, 2007. BIC-TA 2007. Second International Conference on

Date of Conference:

14-17 Sept. 2007