![](/images/graphics-bg.png)
State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search
Joint Authors
Ayangbekun, Oluwafemi
Adesina, Ademola
Ekong, Daniel
Agbele, Kehinde
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Agbele, Kehinde& Adesina, Ademola& Ekong, Daniel& Ayangbekun, Oluwafemi. 2012. State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-449957
Modern Language Association (MLA)
Agbele, Kehinde…[et al.]. State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-449957
American Medical Association (AMA)
Agbele, Kehinde& Adesina, Ademola& Ekong, Daniel& Ayangbekun, Oluwafemi. State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-449957
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449957