DocumentCode :
2436814
Title :
Web Document Query Optimization Based on Memetic Algorithm
Author :
Wang, Ziqiang ; Sun, Xia ; Zhang, Dexian
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou
Volume :
2
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
53
Lastpage :
56
Abstract :
To efficiently retrieve relevant documents from the explosive growth of the Internet and other sources of information access, an efficient document query optimization approach based on memetic algorithm (MA) is proposed. Experimental results show that the proposed algorithm can improve the precision of document retrieval compared with other conventional query optimization algorithm.
Keywords :
genetic algorithms; query processing; Internet information access; Web document query optimization algorithm; genetic algorithm; memetic algorithm; relevant document retrieval; Biological cells; Computational intelligence; Conferences; Convergence; Evolutionary computation; Genetic mutations; Information retrieval; Internet; Query processing; Random number generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.100
Filename :
4756733
Link To Document :
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