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Applied Computational Intelligence and Soft Computing
Volume 2012, Article ID 152385, 7 pages
Research Article

State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search

1Department of Computer Science, Soft Computing and Intelligent Systems Research Group, University of the Western Cape, Private Bag X17, Bellville, Cape Town, South Africa
2Department of Mathematical Sciences (Computer Science Option), Ekiti State University, Ado-Ekiti, PMB 5363, Ado-Ekiti, Ekiti State, Nigeria
3College of Information and Communication Technology, Crescent University, Abeokuta, Ogun-State, Nigeria

Received 10 April 2012; Revised 12 September 2012; Accepted 26 September 2012

Academic Editor: Cheng-Jian Lin

Copyright © 2012 Kehinde Agbele et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


People use search engines to find information they desire with the aim that their information needs will be met. Information retrieval (IR) is a field that is concerned primarily with the searching and retrieving of information in the documents and also searching the search engine, online databases, and Internet. Genetic algorithms (GAs) are robust, efficient, and optimizated methods in a wide area of search problems motivated by Darwin’s principles of natural selection and survival of the fittest. This paper describes information retrieval systems (IRS) components. This paper looks at how GAs can be applied in the field of IR and specifically the relevance of genetic algorithms to internet web search. Finally, from the proposals surveyed it turns out that GA is applied to diverse problem fields of internet web search.