State-of-the-art review on relevance of genetic algorithm to internet web search
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Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
Hindawi Publishing Corporation
Abstract
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.
Description
Keywords
Information retrieval, Genetic algorithms
Citation
Agbele, K.K., et al. (2012). State-of-the-art review on relevance of genetic algorithm to internet web search. Applied Computational Intelligence and Soft Computing, volume 2012: Article ID 152385