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Optimal VSM Model and Multi-Object Quantum-Inspired Genetic Algorithm for Web Information Retrieval

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5 Author(s)
Lili Yan ; Dept. of Software Eng., Hainan Software Profession Inst., Qionghai, China ; Henian Chen ; Wentian Ji ; Yu Lu
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It is becoming an important research issue to search the Web rapidly and effectively from a mass of information. Information retrieval for resolved these problems provide a chance. In this paper, a new adaptive method of information retrieval Web documents is proposed. We give an algorithm QIGA which combines genetic algorithm and quantum computing based on vector space model (VSM). This algorithm avoids the disadvantage of Web documents by using pure genetic algorithm which can not be utilized accurately. Experimental results show that our method can be adopted effectively in practice and is superior to other algorithms.

Published in:

Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on

Date of Conference:

18-20 Jan. 2009