A Web Document Retrieval Algorithm Based on Particle Swarm Optimization

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.

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