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
         
        
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
         
        
            Conference_Location : 
Wuhan
         
        
            Print_ISBN : 
978-0-7695-3490-9
         
        
        
            DOI : 
10.1109/PACIIA.2008.100